Prof. TzuYang Yu Profile

Prof. TzuYang Yu

Professor at Univ of Massachusetts Lowell

SPIE Involvement:

Conference Chair | Editor | Author

Area of Expertise:

Nondestructive Evaluation , Structural Health Monitoring , Structural Dynamics , Structural Stability , Concrete Materials , Radar NDE

Websites:

Personal Website | Company Website

Profile Summary

Dr. Yu is Professor/Associate Chair of Doctoral Studies in the Department of Civil and Environmental Engineering at the University of Massachusetts Lowell (UMass Lowell). He received his Ph.D. from the Massachusetts Institute of Technology (M.I.T.), majoring in structural engineering, NDE of concrete structures, signal processing, and electromagnetic modeling of construction materials. He is a recipient of the 2008 ASNT Fellowship Award (Columbus, OH), 2009 NYUST Outstanding Alumni (Yunlin, Taiwan), 2010 JSPS Fellowship (Tokyo, Japan), 2021 ASNT Faculty Award (Columbus, OH), and 2022 Acorn Innovation Award (Boston, MA). He holds two U.S. patents and has published more than 30 journal papers (until 2021), 67 conference papers (until 2021), and delivered 17 conference presentations (until 2021) and 48 invited talks (until 2021). He also has published two books and two book chapters and edited several conference proceedings (until 2021).

He is Director of NDT/SHM Laboratory and Electromagnetic Remote Sensing Laboratory in Structural Engineering Research Group (SERG) at UMass Lowell. He is also Institutional Lead of U.S.DOT University Transportation Center (UTC) TIDC (Transportation Infrastructure Durability Center) at UMass Lowell (https://www.uml.edu/research/tidc/). His research has been sponsored by NSF, NIST, AFRL, DOE, U.S.DOT, UMass S&T Office, AFFOA, MassDOT, and NextFlex.

Publications (62)

Proceedings Article | 10 May 2024 Presentation

Presentation

Effects of moisture and chloride content on critical contour area in synthetic aperture radar images

Tzuyang Yu, Ahmed Alzeyadi

Proceedings Volume PC12950, PC129500B (2024) https://doi.org/10.1117/12.3011162

KEYWORDS: Synthetic aperture radar, Moisture, Nondestructive evaluation, Vacuum chambers, Remote sensing, Radar imaging, Radar, Objectives, Manufacturing, Electromagnetism

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Proceedings Article | 10 May 2024 Presentation

Presentation

Damage detection of a bridge model under traffic loading using short time Fourier transform and wavelet transform

Ritham Batchu, Koosha Raisi, TzuYang Yu

Proceedings Volume PC12950, PC1295003 (2024) https://doi.org/10.1117/12.3012065

KEYWORDS: Bridges, Wavelet transforms, Fourier transforms, Damage detection, Structural health monitoring, Sensors, Education and training, Wind turbine technology, Safety, Nondestructive evaluation

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Proceedings Article | 9 May 2024 Presentation + Paper

Presentation + Paper

Application of remote ground-penetrating radar for condition assessment of wooden crossties

Koosha Raisi, Maryam Abazarsa, Tzuyang Yu

Proceedings Volume 12950, 1295007 (2024) https://doi.org/10.1117/12.3010440

KEYWORDS: Dielectrics, Reflection, Moisture, Interfaces, Transportation, Ground penetrating radar, Radar, Nondestructive evaluation

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Proceedings Article | 9 May 2024 Presentation + Paper

Presentation + Paper

Static and dynamic testing of 3D-printed beams for structural design and construction application

Tiana Robinson, Koosha Raisi, Tzuyang Yu

Proceedings Volume 12950, 129500R (2024) https://doi.org/10.1117/12.3010173

KEYWORDS: Printing, 3D printing, Vibration, Laser Doppler velocimetry, Structural design, Data acquisition, Structural materials, Plastics

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Proceedings Article | 9 May 2024 Paper

Paper

Estimation of compressive strength of Portland cement concrete using synthetic aperture radar, ultrasonic testing, and rebound hammer

Maryam Abazarsa, Koosha Raisi, Tzuyang Yu

Proceedings Volume 12950, 1295006 (2024) https://doi.org/10.1117/12.3010516

KEYWORDS: Synthetic aperture radar, Cements, Ultrasonics, Nondestructive evaluation, Imaging systems, Velocity measurements, Moisture, Materials properties, Sensors

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Portland cement concrete (PCC) is a versatile and widely used construction material renowned for its strength and durability. The mechanical properties of PCC, including compressive strength, flexural strength, and splitting tensile strength, play a pivotal role in ensuring the safety and sustainability of structures such as buildings, bridges, and dams. Traditionally, the determination of PCC's compressive strength involves destructive testing of standard-size concrete cylinders until they fail. While nondestructive evaluation (NDE) techniques are available for assessing these properties, they often require direct contact between the sensor and the concrete surface, making them less efficient and practical compared to remote sensing techniques. In this paper, we applied three NDE techniques for estimating the mechanical properties of concrete, including synthetic aperture radar (SAR), ultrasonic pulse velocity (UPV), and a rebound hammer. We manufactured a total of 48 laboratory concrete cylinders (diameter = 3", height = 6"). These cylinders were created with different water-to-cement ratios (0.4, 0.45, 0.5, and 0.55) with a mix design ratio of 1:2:3 for cement: sand: gravel (by mass). Four dates of compressive testing were considered (7-day, 14-day, 28-day, and 96-day). Before these cylinders were tested by destructive compression test, they were measured by three NDE techniques. A 10GHz SAR system with a 1.5 GHz bandwidth, a 54kHz UPV system, and a Schimdt rebound hammer were used to inspect those cylinders. Our experimental results reveal a discernible relationship between the compressive strength of concrete and the NDE data. The increase of cylinder age resulted in the increase of compressive strength of PCC cylinders. SAR image parameters, UPV curves, and rebound hammer curves showed correlated patterns. This technique has the potential to provide a nondestructive and efficient means of assessing concrete strength and durability, with significant implications for the construction industry in ensuring the safety and sustainability of various structures.

Proceedings Article | 9 May 2024 Presentation + Paper

Presentation + Paper

Corrosion detection of steel-reinforced concrete specimens using synthetic aperture radar

Koosha Raisi, Maryam Abazarsa, Tzuyang Yu

Proceedings Volume 12950, 129500L (2024) https://doi.org/10.1117/12.3010437

KEYWORDS: Synthetic aperture radar, Corrosion, Dielectrics, Reflection, Radar, Image resolution, Transportation, Remote sensing

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Proceedings Article | 18 April 2023 Paper

Paper

Remote detection of chloride ion content in concrete using SAR

Ahmed Alzeyadi, Tzuyang Yu

Proceedings Volume 12487, 1248710 (2023) https://doi.org/10.1117/12.2661309

KEYWORDS: Synthetic aperture radar, Dielectrics, Imaging systems, Cements, Radar imaging, Radar, Radar signal processing

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Presence of chloride ions is the main cause responsible for the corrosion of steel rebars and other components in concrete structures. Detecting the presence and amount of chloride ions in concrete, however, is a challenging task. In this paper, we present our development on the use of synthetic aperture radar (SAR) imaging for the remote detection of chloride ion content in concrete. SAR imaging is a remote sensing technique capable of performing noncontact subsurface inspection of dielectric materials like Portland cement concrete. Such techniques can be applied to field inspection of concrete structures and laboratory material characterization. The objective of this paper is to demonstrate the application of SAR imaging on characterizing chloride content inside oven-dried concrete specimens, using a 10-GHz central frequency SAR imaging sensor. Twelve concrete specimens (0.3x0.3x0.05 m3 ) with a 0.45 water-to-cement ratio were manufactured in six groups of different chloride contents (0%, 2%, 4%, 6%, 8%, and 10% of cement weight). Four SAR image-based parameters were developed from each SAR image of concrete specimens for chloride, including integrated amplitude Iint, average maximum amplitude Imax, critical contour area Ac, and average Gaussian curvature of critical contour Kavg. A parametric analysis on the combined use of different numbers of SAR image parameters was carried out to determine the optimal application of SAR image parameters on the chloride detection problem in this paper. From our result, it is found that, for the purpose of chloride detection inside concrete specimens using single SAR parameter, integrated amplitude Iint. When using two SAR image parameters, combination of integrated amplitude Iint and critical contour area Ac shows the best performance among other two-parameter combinations. When using three SAR image parameters, combination of integrated amplitude, critical contour area, and average maximum amplitude shows the best performance among other three-parameter combinations. Furthermore, it is interesting to report that combination of three SAR image parametersprovides the overall best performance among all other combinations for the chloride detection problem in oven-dried concrete specimens.

Proceedings Article | 18 April 2023 Presentation + Paper

Presentation + Paper

Denoising of GPR B-scan images using discrete wavelet transform

Tzuyang Yu, Koosha Raisi, Ritham Batchu

Proceedings Volume 12487, 1248703 (2023) https://doi.org/10.1117/12.2657741

KEYWORDS: Wavelets, Denoising, Discrete wavelet transforms, Inspection, Synthetic aperture radar, Image restoration, Transportation, Ground penetrating radar

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Subsurface inspection of concrete structures using electromagnetic (EM) sensors such as ground penetrating radar (GPR) and synthetic aperture radar (SAR) is a field applicable approach for critical civil infrastructure systems. Compared to other nondestructive inspection/evaluation/testing techniques, EM waves can penetrate the surface of concrete structures and travel inside the subsurface of concrete structures to generate backscattering signals from a subsurface target (e.g., corroded steel rebar, delamination/cracking) for condition assessment. However, variations in the EM property of concrete and unpredictable EM background noises can contribute to the difficulties of image interpretation. Denoising of radar images is a necessary step before engineers can perform quantitative assessment of the images. The objective of this paper is to denoise GPR images using discrete wavelet transform (DWT). Four concrete panel specimens (30-by-30-by-3.5 cm3 ) were prepared with three artificial cracks (CNC, CNCD, and CNCW) of known dimensions and subjected to B-scan inspection using a 1.6 GHz GPR sensor (StructureScan Mini, GSSI). Level five Daubechies wavelet was used in processing all GPR B-scan images for its capability of detecting high frequency components in this study. The purpose of image denoising was to reveal a clear hyperbolic pattern by eliminating undesired local maximum and minimum points. After each image processing, horizontal, vertical, and diagonal details were generated. Four different denoising schemes were considered; i) without all details, ii) horizontal detail only, iii) vertical detail only, and iv) diagonal detail only. Denoising was repeated in five steps in each scheme. Performance of denoising was evaluated by the number of local maximum and minimum points and their geometric pattern. From our results, it was found that, for some type of artificial crack (CNCD), the hyperbolic pattern can be clearly revealed after one step of denoising, regardless of the denoising scheme. Among four denoising schemes, the best scheme is the one with the approximation coefficients and the diagonal detail coefficients. It was also found that including horizontal detail can introduce high frequency artifacts, resulting in an over-denoised image.

Proceedings Article | 18 April 2023 Presentation + Paper

Presentation + Paper

Detection of steel rebar corrosion in bridge piers using 1.6GHz ground penetrating radar

Koosha Raisi, Ritham Batchu, Tzuyang Yu

Proceedings Volume 12487, 124870X (2023) https://doi.org/10.1117/12.2657731

KEYWORDS: Corrosion, Reflection, Dielectrics, Bridges, Ground penetrating radar, Phase velocity

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Corrosion of steel reinforcement in concrete highway bridges due to carbonation and chloride attack is an ongoing and prevalent problem. If left undetected in time, late-stage corrosion can lead to section loss of steel rebars, an uneven distribution of internal stresses, and ultimately lead to surface cracks and spalling of the concrete. Nondestructive testing and evaluation (NDT/E) sensors like ground penetrating radar (GPR) are commonly used to detect subsurface objects and anomalies (e.g., concrete cracking, and rebars). In this paper, the feasibility of a 1.6GHz GPR device for detection of steel rebar corrosion is tested in both laboratory reinforced concrete (RC) specimens and in-situ RC structures. For this purpose, three RC specimens (12 x 12 x 5 in³ ) were cast with a No.5 steel rebar (5/8” diameter) at the center of each specimen. Two of the RC panels were corroded using the accelerated corrosion test (ACT) to achieve different levels of corrosion, while the third one was left un-corroded to serve as an intact baseline in our measurements. The RC specimens were kept in a temperature-controlled environment (73 ∼ 77◦F) for six years (2017-2023). In addition, a bridge column of a RC highway bridge underpass (Chelmsford, MA), which exhibits the signs of steel rebar corrosion, was selected for collecting in-situ GPR scans. A known intact RC bridge column was chosen and scanned to serve as the baseline for comparison. In both scenarios, B-scan images were developed from the lab RC specimens and the damaged bridge column. The changes in the reflection amplitudes of the hyperbolic-shaped rebar reflections in GPR B-scan images due to corrosion were studied in both the time and the frequency domains, and cross-validated with the results from previous research. From our experiments, it was found that a 1.6GHz GPR sensor can successfully detect and distinguish corrosion level in three RC specimens and one bridge column by the combined use of 1D and 2D analytic methods.

Proceedings Article | 18 April 2023 Paper

Paper

NDE of concrete-FRP systems

Tzuyang Yu

Proceedings Volume 12487, 1248716 (2023) https://doi.org/10.1117/12.2665005

KEYWORDS: Nondestructive evaluation, Fiber reinforced polymers, Engineering, Composites, Signal to noise ratio, Inspection, Civil engineering

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Proceedings Article | 18 April 2023 Paper

Paper

Structural health monitoring of a train model under traffic loading

Ritham Batchu, Koosha Raisi, TzuYang Yu

Proceedings Volume 12487, 124870T (2023) https://doi.org/10.1117/12.2658173

KEYWORDS: Sensors, Bridges, Spectral response, Structural health monitoring, Education and training, Transportation, Frequency response

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Proceedings Article | 18 April 2023 Presentation

Presentation

Bridge deck underside evaluation with contacting and noncontacting UAS-mounted sensors (Conference Presentation)

Tzuyang Yu, Eric Landis, Tian Xia, Dryver Huston

Proceedings Volume 12487, 124870Y (2023) https://doi.org/10.1117/12.2666185

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Proceedings Article | 18 April 2023 Presentation + Paper

Presentation + Paper

Real time traffic monitoring of pedestrian bridge using distributed fiber optic sensing textile

Sabrina Abedin, Andres Biondi Vaccariello, Lidan Cao, Rui Wu, Tzuyang Yu, Xingwei Wang

Proceedings Volume 12486, 124860F (2023) https://doi.org/10.1117/12.2658097

KEYWORDS: Bridges, Fiber optics sensors, Sensing systems, Sensors, Structural health monitoring, Optical fiber cables, Reflectometry, Optical sensing, Vibration

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Proceedings Article | 18 April 2023 Poster + Paper

Poster + Paper

Distributed optic fiber sensing textile installation inside a novel composite girder bridge

Rui Wu, Andres Biondi, Lidan Cao, Guoqiang Cui, Sabrina Abedin, Xingwei Wang, HarshNareshkumar Gandhi, Tzuyang Yu

Proceedings Volume 12486, 124861R (2023) https://doi.org/10.1117/12.2662371

KEYWORDS: Sensing systems, Fiber optics sensors, Epoxies, Design and modelling, Structural health monitoring, Optical sensing, Structured optical fibers, Sensors, Fiber reinforced polymers

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Proceedings Article | 18 April 2022 Paper

Paper

Investigating the effect of mass redistribution on damping of building models using a shake table and a laser Doppler vibrometer

Nimun Nak Khun, Tiana Robinson, Tzuyang Yu

Proceedings Volume 12047, 120470O (2022) https://doi.org/10.1117/12.2612706

KEYWORDS: Laser Doppler velocimetry, Motion models, Structural health monitoring, Doppler effect, Data modeling, Signal to noise ratio, Inspection

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Proceedings Article | 18 April 2022 Presentation + Paper

Presentation + Paper

Interpretation of synthetic aperture radar images of concrete by combined uses of image parameters

Tzuyang Yu, Ahmed Alzeyadi

Proceedings Volume 12047, 120470N (2022) https://doi.org/10.1117/12.2612624

KEYWORDS: Synthetic aperture radar, Performance modeling, Dielectrics, Signal to noise ratio, Scattering, Remote sensing, Reflection, Radar imaging, Imaging systems, Image resolution

Read Abstract +

Synthetic aperture radar (SAR) imaging has become an emerging technique in the remote subsurface sensing of construction materials (dielectrics) such as concrete, FRP-concrete, timber, and masonry. Increased center frequency, bandwidth, and synthetic aperture can improve the resolution of SAR images with better contrast and signal-to-noise ratio for condition assessment. However, since most reported SAR applications are for surface sensing, little is known about how to interpret SAR images for subsurface sensing of construction materials. In this paper, extraction, interpretation, and application of parameters from SAR images are presented for condition assessment, using two sides of a CFRP-concrete specimen as an example. A 10-GHz center frequency laboratory SAR imaging system was used for data collection. Seven incident angles were considered (0-deg, 15-deg, 20-deg, 30-deg, 35-deg, 45-deg, and 60-deg.) Multi-dimensional SAR image parameters were defined and applied to the fourteen SAR images of the CFRP-concrete specimen. We have found that performance of SAR image parameters depends on the type of condition assessment problems at hand. Combined use of SAR image parameters of different dimensionalities is encouraged, but a systematic understanding on the physical meaning of each SAR image parameter is necessary. Maximum SAR amplitude is easily affected by background noise. Integrated SAR amplitude in theory performs better than the maximum SAR amplitude. Range curves of SAR images are similar to the A-scan curves in GPR, but they contain more coupling effects from geometry and material's. Cross-range curves of SAR images can also used for surface profiling of concrete specimens. Critical contours of SAR images show the spatial distribution of the backscattering response of concrete. K-R-I curves of SAR images extract features of the images and facilitate quantitative comparison between two SAR images collected at different orientations and image resolutions.

Proceedings Article | 18 April 2022 Paper

Paper

Application of dual-frequency GPR for subsurface void detection in culverts

Koosha Raisi, Nimun Nak Khun, Tzuyang Yu

Proceedings Volume 12047, 120470Q (2022) https://doi.org/10.1117/12.2613083

KEYWORDS: Dielectrics, Radar, Reflection, Metals, Inspection, Roads, Image processing, Signal detection

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Proceedings Article | 23 March 2021 Poster + Paper

Poster + Paper

Optical fiber sensing textile for temperature and strain distributed measurement

Andres M. Biondi, Xu Guo, Jingcheng Zhou, Qixiang Tang, Harshnareshkumar Ghandi, Balaji Goplan, Thomas Hanna, Jackson Ivey, Tzuyang Yu, Xingwei Wang

Proceedings Volume 11592, 115921G (2021) https://doi.org/10.1117/12.2595377

KEYWORDS: Structural health monitoring, Sensors, Fiber optics tests, Fiber optics sensors, Fiber optics, Structured optical fibers, Optical sensors, Optical fiber cables, Manufacturing, Bridges

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Proceedings Article | 22 March 2021 Paper

Paper

Remote moisture quantification of concrete using SAR images and the K-R-I transform

Ahmed Alzeyadi, Tzuyang Yu

Proceedings Volume 11592, 1159207 (2021) https://doi.org/10.1117/12.2582429

KEYWORDS: Synthetic aperture radar, Structural health monitoring, Shape analysis, Sensors, Radar imaging, Quantitative analysis, Optical sensors, Nondestructive evaluation, Manufacturing, Corrosion

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Proceedings Article | 22 March 2021 Presentation + Paper

Presentation + Paper

Welcome and Introduction

Tzuyang Yu

Proceedings Volume 11592, 1159202 (2021) https://doi.org/10.1117/12.2591896

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Proceedings Article | 22 March 2021 Presentation + Paper

Presentation + Paper

FDTD simulation of near-field scattering pattern of a surface crack in plate-like structures for optimal inspection angle determination

Tzuyang Yu

Proceedings Volume 11592, 115920V (2021) https://doi.org/10.1117/12.2593528

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Proceedings Article | 22 March 2021 Presentation + Paper

Presentation + Paper

Determination of critical contour area in SAR images of concrete for subsurface moisture sensing

Ahmed Alzeyadi, Tzuyang Yu

Proceedings Volume 11591, 1159114 (2021) https://doi.org/10.1117/12.2582431

KEYWORDS: Synthetic aperture radar, Radar, Laboratory techniques, Image analysis, Corrosion, Cements

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Proceedings Article | 22 March 2021 Presentation + Paper

Presentation + Paper

Short-term mechanical strength prediction of ultra-high performance concrete using noncontact synthetic aperture radar imaging

Tzuyang Yu, Arkabrata Sinha, Jianqiang Wei, Ronan Bates, Tek Dhant, Harsh Gandhi

Proceedings Volume 11592, 115921D (2021) https://doi.org/10.1117/12.2584809

KEYWORDS: Synthetic aperture radar, Sensors, Radar imaging, Microfluidics, Target detection, Radar, Optical inspection, Objectives, Microfluidic imaging, Inspection

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SPIE Journal Paper | 12 June 2020

Subsurface characterization of moisture content and water-to-cement ratio of concrete specimens using remote synthetic aperture radar imaging

Ahmed AlZeyadi, Tzuyang Yu

JARS, Vol. 14, Issue 02, 024520, (June 2020) https://doi.org/10.1117/12.10.1117/1.JRS.14.024520

KEYWORDS: Synthetic aperture radar, Dielectrics, Cements, Radar imaging, Imaging systems, General packet radio service, Microwave radiation, Sensors, Civil engineering, Radar

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Proceedings Article | 19 May 2020 Presentation + Paper

Presentation + Paper

Quantification of surface crack depth in concrete panels using 1.6 GHz GPR images

Tzuyang Yu, Sanjana Vinayaka

Proceedings Volume 11380, 1138007 (2020) https://doi.org/10.1117/12.2558952

KEYWORDS: General packet radio service, Nondestructive evaluation, Sensors, Scattering, Cements, RGB color model, Manufacturing, L band, Corrosion, Image processing

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Proceedings Article | 24 April 2020 Presentation

Presentation

Detection of ground-motion-induced pipeline deformation using BOTDR measurements (Conference Presentation)

Tzu-Yang Yu, jianing Wang, Harsh Gandhi, Qixiang Tang

Proceedings Volume 11380, 113800W (2020) https://doi.org/10.1117/12.2559131

KEYWORDS: Structural health monitoring, Damage detection, Fiber optics sensors, Manufacturing, Optical fibers, Reflectometry, Spatial resolution

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Proceedings Article | 1 April 2019 Paper

Paper

Estimating the density of wood specimens using synthetic aperture radar imaging

Christopher Ingemi, Tzuyang Yu

Proceedings Volume 10971, 1097120 (2019) https://doi.org/10.1117/12.2514354

KEYWORDS: Synthetic aperture radar, Radar imaging, Radar, Signal attenuation, Inspection, Dielectrics, Nondestructive evaluation, Phase velocity, Data modeling, Microwave radiation

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Proceedings Article | 1 April 2019 Paper

Paper

Characterization of textile effects on concrete panel using synthetic aperture radar imaging

Jie Hu, Ahmed Alzeyadi, Tzuyang Yu

Proceedings Volume 10971, 1097106 (2019) https://doi.org/10.1117/12.2514198

KEYWORDS: Synthetic aperture radar, Radar imaging, Radar, Imaging systems, Nondestructive evaluation, Reflection, Data modeling

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Proceedings Article | 1 April 2019 Presentation + Paper

Presentation + Paper

Effect of rebar geometries on ultrasonic waves propagation in reinforced concrete structures using finite element method

Qixiang Tang, Jie Hu, Tzuyang Yu

Proceedings Volume 10971, 1097107 (2019) https://doi.org/10.1117/12.2513491

KEYWORDS: Ultrasonics, Wave propagation, Finite element methods, Corrosion, Transmitters, Receivers, Signal attenuation, Interfaces, Time-frequency analysis, Photoacoustic spectroscopy

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Proceedings Article | 1 April 2019 Paper

Paper

Characterization of dielectric constant of masonry wall using synthetic aperture radar imaging

Jie Hu, Ahmed AlZeyadi, Qixiang Tang, Tzuyang Yu

Proceedings Volume 10971, 109710S (2019) https://doi.org/10.1117/12.2514068

KEYWORDS: Synthetic aperture radar, Dielectrics, Radar, Radar imaging, Imaging systems, Nondestructive evaluation, Civil engineering, Antennas, Inspection

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Proceedings Article | 1 April 2019 Presentation + Paper

Presentation + Paper

Detection of grain angle in wood specimens using synthetic aperture radar imaging

Christopher Ingemi, Tzuyang Yu

Proceedings Volume 10971, 109710U (2019) https://doi.org/10.1117/12.2513972

KEYWORDS: Synthetic aperture radar, Radar imaging, Dielectrics, Radar, Nondestructive evaluation, Inspection, Data modeling, Mathematical modeling, Optical inspection, Electromagnetism

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Proceedings Article | 1 April 2019 Presentation + Paper

Presentation + Paper

Electromagnetic sensing of a subsurface metallic object at different depths

Ahmed Alzeyadi, Jie Hu, Tzuyang Yu

Proceedings Volume 10971, 1097105 (2019) https://doi.org/10.1117/12.2514460

KEYWORDS: Synthetic aperture radar, Signal to noise ratio, Radar, Sensors, Imaging systems, Signal attenuation, Electromagnetism, Radar imaging, Scattering, Reflection

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Proceedings Article | 27 March 2019 Paper

Paper

Detecting underground metallic objects of different sizes using synthetic aperture radar

Ahmed Alzeyadi, Jie Hu, Tzuyang Yu

Proceedings Volume 10970, 109702W (2019) https://doi.org/10.1117/12.2514480

KEYWORDS: Synthetic aperture radar, Radar, Land mines, Signal to noise ratio, Sensors, Imaging systems, Remote sensing, Radar imaging, Improvised explosive devices, Reflection

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Proceedings Article | 27 March 2018 Presentation + Paper

Presentation + Paper

Characterization of the range effect in synthetic aperture radar images of concrete specimens for width estimation

Ahmed Alzeyadi, Tzuyang Yu

Proceedings Volume 10599, 1059916 (2018) https://doi.org/10.1117/12.2294540

KEYWORDS: Synthetic aperture radar, Radar, Imaging systems, Radar imaging, Sensors, Nondestructive evaluation, Scattering, Cements, Image resolution, Reconstruction algorithms

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Proceedings Article | 27 March 2018 Presentation + Paper

Presentation + Paper

Electromagnetic characterization of white spruce at different moisture contents using synthetic aperture radar imaging

Christopher Ingemi, Jones Owusu Twumasi , Tzuyang Yu

Proceedings Volume 10599, 1059917 (2018) https://doi.org/10.1117/12.2296343

KEYWORDS: Synthetic aperture radar, Autoregressive models, Dielectrics, Radar imaging, Radar, Data modeling, Nondestructive evaluation, Electromagnetism, Signal attenuation, Amplifiers

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Proceedings Article | 27 March 2018 Presentation + Paper

Presentation + Paper

Finite element simulation of photoacoustic fiber optic sensors for surface corrosion detection on a steel rod

Qixiang Tang, Jones Owusu Twumasi, Jie Hu, Xingwei Wang, Tzuyang Yu

Proceedings Volume 10599, 105991N (2018) https://doi.org/10.1117/12.2295032

KEYWORDS: Ultrasonics, Wave propagation, Algorithm development, Finite element methods, Detection and tracking algorithms, Receivers, Error analysis, Photoacoustic spectroscopy, Transmitters, Optical components

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Proceedings Article | 27 March 2018 Presentation + Paper

Presentation + Paper

Real time corrosion detection of rebar using embeddable fiber optic ultrasound sensor

Cong Du, Jones Owusu Twumasi, Qixiang Tang, Nan Wu, Tzuyang Yu, Xingwei Wang

Proceedings Volume 10598, 1059833 (2018) https://doi.org/10.1117/12.2302901

KEYWORDS: Corrosion, Ultrasonography, Fiber optics sensors, Fiber optics, Sensors, Ultrasonics, Fiber Bragg gratings, Photoacoustic spectroscopy, Reflectivity, Acoustics

Read Abstract +

Proceedings Article | 27 March 2018 Presentation + Paper

Presentation + Paper

Characterization of steel rebar spacing using synthetic aperture radar imaging

Jie Hu, Qixiang Tang, Jones Owusu Twumasi, Tzuyang Yu

Proceedings Volume 10599, 1059915 (2018) https://doi.org/10.1117/12.2295627

KEYWORDS: Synthetic aperture radar, Nondestructive evaluation, Radar imaging

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Proceedings Article | 19 April 2017 Presentation + Paper

Presentation + Paper

Condition assessment of corroded steel rebar in free space using synthetic aperture radar images

Christopher Ingemi, Jones Owusu Twumasi, Swinderjit Litt, Tzuyang Yu

Proceedings Volume 10169, 101691F (2017) https://doi.org/10.1117/12.2258658

KEYWORDS: Inspection, Data modeling, Nondestructive evaluation, General packet radio service, Synthetic aperture radar, Corrosion, Free space, Radar imaging, Civil engineering, Radar, Roads, Environmental monitoring, Technologies and applications

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Proceedings Article | 19 April 2017 Paper

Paper

Synthetic aperture radar image processing techniques for damage detection of FRP-concrete systems

Tzuyang Yu

Proceedings Volume 10169, 1016902 (2017) https://doi.org/10.1117/12.2249947

KEYWORDS: Synthetic aperture radar, Radar, Radar imaging, Sensors, Image fusion, Image processing, Nondestructive evaluation, Mathematical morphology, Image sensors, Damage detection, Fiber reinforced polymers, Image resolution, Dielectrics, Inspection

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Proceedings Article | 19 April 2017 Presentation + Paper

Presentation + Paper

Finite element simulation of ultrasonic waves in corroded reinforced concrete for early-stage corrosion detection

Qixiang Tang, Tzuyang Yu

Proceedings Volume 10169, 101691N (2017) https://doi.org/10.1117/12.2258665

KEYWORDS: Corrosion, Ultrasonics, Finite element methods, Systems modeling, Receivers, Sensors, Intelligence systems, Wave propagation, Civil engineering, Nondestructive evaluation

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Proceedings Article | 19 April 2017 Presentation + Paper

Presentation + Paper

Accuracy analysis of point cloud modeling for evaluating concrete specimens

Nicolas D'Amico, Tzuyang Yu

Proceedings Volume 10169, 101691D (2017) https://doi.org/10.1117/12.2258404

KEYWORDS: Clouds, Motion models, Photogrammetry, Atomic force microscopy, Civil engineering, LIDAR, Manufacturing, Cell phones, Cameras, Photography, Error analysis, Erbium, Profiling, Curium, Digital image correlation

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Proceedings Article | 12 April 2017 Paper

Paper

Enhanced PVDF properties by multi-wall carbon nanotubes (MWCNT) for efficient energy harvesting

Jie Hu, Tzuyang Yu

Proceedings Volume 10168, 101680F (2017) https://doi.org/10.1117/12.2258234

KEYWORDS: Composites, Piezoelectric effects, Energy harvesting, Energy efficiency, Carbon nanotubes, FT-IR spectroscopy, Polarization, Crystals, Solar energy, Attenuated total reflectance

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Proceedings Article | 3 May 2016 Paper

Paper

Roadside IED detection using subsurface imaging radar and rotary UAV

Yexian Qin, Jones Twumasi, Viet Le, Yu-Jiun Ren, C. P. Lai, Tzuyang Yu

Proceedings Volume 9823, 982317 (2016) https://doi.org/10.1117/12.2223445

KEYWORDS: Unmanned aerial vehicles, Radar, Radar imaging, Improvised explosive device detection, Synthetic aperture radar, Improvised explosive devices, Antennas, Imaging systems, Prototyping, Calibration

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Proceedings Article | 22 April 2016 Paper

Paper

An autonomous unmanned aerial vehicle sensing system for structural health monitoring of bridges

Daniel Reagan, Alessandro Sabato, Christopher Niezrecki, Tzuyang Yu, Richard Wilson

Proceedings Volume 9804, 980414 (2016) https://doi.org/10.1117/12.2218370

KEYWORDS: Unmanned aerial vehicles, Digital image correlation, Bridges, Inspection, Structural health monitoring, 3D metrology, 3D image processing, Position sensing equipment, Sensing systems, Photogrammetry, Cameras, Calibration

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Proceedings Article | 22 April 2016 Paper

Paper

Finite element simulation for damage detection of surface rust in steel rebars using elastic waves

Qixiang Tang, Tzuyang Yu

Proceedings Volume 9804, 980426 (2016) https://doi.org/10.1117/12.2219265

KEYWORDS: Damage detection, Corrosion, Finite element methods, Fiber optics, Acoustics, Transducers, Receivers, Fiber optics sensors, Wave propagation, Photoacoustic spectroscopy, Sensors, Signal to noise ratio

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Proceedings Article | 15 April 2016 Paper

Paper

Photogrammetric analysis of concrete specimens and structures for condition assessment

Nicolas D'Amico, Tzuyang Yu

Proceedings Volume 9804, 98041Z (2016) https://doi.org/10.1117/12.2218640

KEYWORDS: Photography, 3D modeling, Photogrammetry, 3D acquisition, Clouds, Data modeling, Nondestructive evaluation, Data conversion, Error analysis, Systems modeling, Cameras, Inspection

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Proceedings Article | 8 April 2016 Presentation + Paper

Presentation + Paper

Sizing and ranging criteria for SAR images of steel and wood specimens

Viet Le, Tzuyang Yu, Jones Owusu Twumasi, Qixiang Tang

Proceedings Volume 9804, 980404 (2016) https://doi.org/10.1117/12.2218441

KEYWORDS: Synthetic aperture radar, Radar, Signal attenuation, Radar imaging, Ranging, Microwave radiation, Sensors, Imaging systems, Nondestructive evaluation, Optical sensors, Antennas, Dielectrics, 3D modeling

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Proceedings Article | 8 April 2016 Presentation + Paper

Presentation + Paper

Quantitative sensing of corroded steel rebar embedded in cement mortar specimens using ultrasonic testing

Jones Owusu Twumasi, Viet Le, Qixiang Tang, Tzuyang Yu

Proceedings Volume 9804, 98040P (2016) https://doi.org/10.1117/12.2218451

KEYWORDS: Corrosion, Ultrasonics, Cements, Polarization, Resistance, Sodium, Transducers, Velocity measurements, Curium, Wave propagation, Performance modeling, Nondestructive evaluation, Oxygen

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Proceedings Article | 8 April 2016 Presentation + Paper

Presentation + Paper

Ultrasonic transmission from fiber optic generators on steel plate

Siwen Bi, Nan Wu, Jingcheng Zhou, Qixiang Tang, Jones OwusuTwumasi, Tzuyang Yu, Xingwei Wang

Proceedings Volume 9804, 98040Q (2016) https://doi.org/10.1117/12.2219205

KEYWORDS: Ultrasonics, Fiber optics, Acoustics, Composites, Gold, Energy efficiency, Thermography, Optical fibers, Nanocomposites, Photoacoustic spectroscopy, Ultrasonography, Structured optical fibers, Structural health monitoring, Signal attenuation

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Proceedings Article | 1 April 2016 Paper

Paper

Piezoelectric-based smart sensing system for I-beam structural health monitoring

Chen Zhang, Haifeng Zhang, Tzuyang Yu, Xingwei Wang

Proceedings Volume 9805, 98052C (2016) https://doi.org/10.1117/12.2218551

KEYWORDS: Sensors, Sensing systems, Structural health monitoring, Ferroelectric materials, Civil engineering, Safety, Signal attenuation, Transducers, Actuators, In situ remote sensing, Signal detection, Nondestructive evaluation, Wave propagation

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Proceedings Article | 1 April 2015 Paper

Paper

Finite element analysis for the damage detection of light pole structures

Qixiang Tang, Tzuyang Yu, Mark Jen

Proceedings Volume 9437, 943711 (2015) https://doi.org/10.1117/12.2075689

KEYWORDS: Damage detection, Finite element methods, Computer simulations, Inspection, Structural health monitoring, Safety, Civil engineering, Structural engineering, Nondestructive evaluation, Systems modeling

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Proceedings Article | 1 April 2015 Paper

Paper

Mass and stiffness estimation using mobile devices for structural health monitoring

Viet Le, Tzuyang Yu

Proceedings Volume 9437, 94371B (2015) https://doi.org/10.1117/12.2084036

KEYWORDS: Structural health monitoring, Sensors, Mobile devices, Instrument modeling, Mathematical modeling, Systems modeling, Cell phones, Civil engineering, Analytical research, Calibration

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Proceedings Article | 1 April 2015 Paper

Paper

Forward and inverse dielectric modeling of oven-dried cement paste specimens in the frequency range of 1.02 GHz to 4.50 GHz

Jones Owusu Twumasi, Tzuyang Yu

Proceedings Volume 9437, 943724 (2015) https://doi.org/10.1117/12.2075672

KEYWORDS: Dielectrics, Cements, Data modeling, Radar, Nondestructive evaluation, Performance modeling, Signal attenuation, Inspection, Systems modeling, Microwave radiation

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Proceedings Article | 17 April 2013 Paper

Paper

Structural health monitoring of bridges using digital image correlation

Christopher Nonis, Christopher Niezrecki, Tzu-Yang Yu, Shafique Ahmed, Che-Fu Su, Tim Schmidt

Proceedings Volume 8695, 869507 (2013) https://doi.org/10.1117/12.2009647

KEYWORDS: Digital image correlation, Bridges, Cameras, Sensors, Structural health monitoring, 3D image processing, Optical inspection, Photography, Inspection, 3D image enhancement

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Proceedings Article | 16 April 2013 Paper

Paper

Wideband subsurface radar for bridge structural health monitoring and nondestructive evaluation

Tzuyang Yu, Che-Fu Su, Chieh-Ping Lai, H. Felix Wu

Proceedings Volume 8694, 86940I (2013) https://doi.org/10.1117/12.2010120

KEYWORDS: Radar, Synthetic aperture radar, Bridges, Inspection, Radar imaging, Imaging systems, Nondestructive evaluation, Sensors, Signal attenuation, Microwave radiation

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Proceedings Article | 6 April 2012 Paper

Paper

Miniature fiber optic temperature sensor for concrete structural health monitoring

Xiaotian Zou, Alice Chao, Nan Wu, Ye Tian, Tzu-Yang Yu, Xingwei Wang

Proceedings Volume 8345, 83454V (2012) https://doi.org/10.1117/12.915265

KEYWORDS: Fiber optics sensors, Temperature sensors, Fiber optics, Sensors, Borosilicate glass, Cements, Structural health monitoring, Temperature metrology, Calibration, Civil engineering

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Proceedings Article | 5 April 2012 Paper

Paper

Scanning array radar system for bridge subsurface imaging

Chieh-Ping Lai, Yu-Jiun Ren, Tzu Yang Yu

Proceedings Volume 8347, 834713 (2012) https://doi.org/10.1117/12.915647

KEYWORDS: Radar, Bridges, Imaging systems, Inspection, Synthetic aperture radar, Radar imaging, Antennas, Cements, Sensing systems, Nondestructive evaluation

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Proceedings Article | 18 April 2011 Paper

Paper

Geometric analysis for the size estimation of subsurface delamination in transient electromagnetic response

Tzu-Yang Yu, Burak Boyaci

Proceedings Volume 7983, 79831J (2011) https://doi.org/10.1117/12.880558

KEYWORDS: General packet radio service, Finite-difference time-domain method, Electromagnetism, Computer simulations, Inspection, Dielectrics, 3D modeling, Modulation, Image processing, Ground penetrating radar

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Proceedings Article | 9 April 2010 Paper

Paper

Damage inspection of fiber reinforced polymer-concrete systems using a distant acoustic-laser NDE technique

Tzu-Yang Yu, Robert Haupt

Proceedings Volume 7649, 76491J (2010) https://doi.org/10.1117/12.847630

KEYWORDS: Acoustics, Nondestructive evaluation, Fiber reinforced polymers, Doppler effect, Inspection, Laser Doppler velocimetry, Composites, Vibrometry, Manufacturing, Solids

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Proceedings Article | 9 April 2009 Paper

Paper

Determining the optimal parameters in a distant radar NDE technique for debonding detection of GFRP-concrete systems

Tzu-Yang Yu

Proceedings Volume 7294, 72940S (2009) https://doi.org/10.1117/12.815895

KEYWORDS: Radar, Nondestructive evaluation, Inspection, Image processing, Mathematical morphology, Linear filtering, Detection and tracking algorithms, Glasses, Signal processing, Image restoration

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Proceedings Article | 8 April 2008 Paper

Paper

A distant real-time radar NDE technique for the in-depth inspection of glass fiber reinforced polymer-retrofitted concrete columns

Tzu-Yang Yu, Oral Buyukozturk

Proceedings Volume 6934, 69340W (2008) https://doi.org/10.1117/12.776270

KEYWORDS: Radar, Inspection, Nondestructive evaluation, Antennas, Scattering, Fiber reinforced polymers, Image processing, Data processing, Glasses, Synthetic aperture radar

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Showing 5 of 62 publications

Proceedings Volume Editor (13)

SPIE Conference Volume | 15 May 2024

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVIII

SPIE Conference Volume | 9 May 2023

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVII

SPIE Conference Volume | 28 April 2022

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVI

SPIE Conference Volume | 4 May 2021

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XV

SPIE Conference Volume | 26 May 2020

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XIV

Showing 5 of 13 publications

Conference Committee Involvement (17)

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XIX

17 March 2025 | Vancouver, B.C., Canada

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVIII

25 March 2024 | Long Beach, California, United States

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVII

13 March 2023 | Long Beach, California, United States

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVI

7 March 2022 | Long Beach, California, United States

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XV

22 March 2021 | Online Only, California, United States

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XIV

27 April 2020 | Online Only, California, United States

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XIII

4 March 2019 | Denver, Colorado, United States

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XII

5 March 2018 | Denver, Colorado, United States

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XI

26 March 2017 | Portland, Oregon, United States

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, and Civil Infrastructure X

21 March 2016 | Las Vegas, Nevada, United States

Structural Health Monitoring and Inspection of Advanced Materials, Aerospace, and Civil Infrastructure IX

9 March 2015 | San Diego, California, United States

Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security VIII

10 March 2014 | San Diego, California, United States

Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security VII

10 March 2013 | San Diego, California, United States

Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security VI

12 March 2012 | San Diego, California, United States

Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security V

7 March 2011 | San Diego, California, United States

Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security IV

8 March 2010 | San Diego, California, United States

Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security III

9 March 2009 | San Diego, California, United States

Showing 5 of 17 Conference Committees

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