Dr. Pradeep Ramuhalli Profile

Dr. Pradeep Ramuhalli

at Oak Ridge National Lab

SPIE Involvement:

Author

Proceedings Article | 18 April 2022 Presentation + Paper

Physics-informed neural networks for identification of material properties using standing waves

V. Rathod, P. Ramuhalli

Proceedings Volume 12047, 120470I (2022) https://doi.org/10.1117/12.2607314

KEYWORDS: Neural networks, Data modeling, Physics, Neurons, Data acquisition, Inverse problems, Image segmentation, Waveguides, Ultrasonics, Nondestructive evaluation

Read Abstract +

Proceedings Article | 31 March 2021 Poster + Presentation + Paper

Electromechanical response of piezoelectric thin films subjected to large strain

Vivek Rathod, Hongbin Sun, Pradeep Ramuhalli

Proceedings Volume 11587, 115871X (2021) https://doi.org/10.1117/12.2584002

Read Abstract +

Proceedings Article | 24 April 2020 Presentation

Initial results of post-irradiation piezoresponse force microscopy characterization of piezoelectric materials (Conference Presentation)

Pradeep Ramuhalli, Shawn Reichers, Andrew Casella, Joshua Daw

Proceedings Volume 11382, 1138209 (2020) https://doi.org/10.1117/12.2558242

KEYWORDS: Microscopy, Sensors, Ultrasonics, Bismuth, Epoxies, Polishing, Transducers

Read Abstract +

Proceedings Article | 24 April 2020 Presentation

Ultrasonic sensor concepts and performance characterization for in situ monitoring during transient irradiation tests (Conference Presentation)

Pradeep Ramuhalli, Joshua Daw, Andrew Casella, Matthew Prowant, Chris Hutchinson, Morris Good, Robert Montgomery

Proceedings Volume 11380, 113801E (2020) https://doi.org/10.1117/12.2558238

KEYWORDS: Sensors, Ultrasonics, Sensor performance, Transducers

Read Abstract +

Proceedings Article | 16 April 2013 Paper

Research and development roadmaps for nondestructive evaluation of cables, concrete, reactor pressure vessels, and piping fatigue

Dwight Clayton, Sasan Bakhatiari, Cyrus Smith, Kevin Simmons, Pradeep Ramuhalli, Jamie Coble, David Brenchley, Ryan Meyer

Proceedings Volume 8694, 869426 (2013) https://doi.org/10.1117/12.2010061

KEYWORDS: Nondestructive evaluation, Unmanned aerial vehicles, Line width roughness, Sensors, Ultrasonics, Metals, Inspection, Data modeling, Magnetism, Data analysis

Read Abstract +

The purpose of the Materials Aging and Degradation (MAaD) Pathway is to develop the scientific basis for understanding and predicting long-term environmental degradation behavior of materials in nuclear power plants and to provide data and methods to assess the performance of systems, structures, and components (SSCs) essential to safe and sustained nuclear power plant operations. The understanding of aging-related phenomena and their impacts on SSCs is expected to be a significant issue for any nuclear power plant planning for long-term operations (i.e., service beyond the initial license renewal period). Management of those phenomena and their impacts during long-term operations can be better enabled by improved methods and techniques for detection, monitoring, and prediction of SSC degradation. Elements of research necessary to produce the improved methods and techniques include the following: Integration of materials science understanding of degradation accumulation, with nondestructive measurement science for early detection of materials degradation. Development of robust sensors and instrumentation, as well as deployment tools, to enable extensive condition assessment of passive nuclear power plant components. Analysis systems for condition assessment and remaining life estimation from measurement data. It is likely that pursuing research for each of these elements in parallel will be necessary to address anticipated near-term deadlines for decision-making by plant owners and regulators (i.e., the first of the "second-round" license renewal announcements will likely start to be made in the 2015 to 2020 timeframe by the nuclear power plant owners). To address these research needs, the MAaD Pathway supported a series of workshops in the summer of 2012 for the purpose of developing R&D roadmaps for enhancing the use of Nondestructive Evaluation (NDE) technologies and methodologies for detecting aging and degradation of materials and predicting the remaining useful life. The workshops were conducted to assess requirements and technical gaps related to applications of NDE for cables, concrete, reactor pressure vessels (RPV), and piping fatigue for extended reactor life. An overview of the outcomes of the workshops is presented here. Details of the workshop outcomes and proposed R&D also are available in the R&D roadmap documents cited in the bibliography and are available on the LWRS Program website (http://www.inl.gov/lwrs).

Proceedings Article | 5 April 2012 Paper

Monitoring thermal fatigue damage in nuclear power plant materials using acoustic emission

R. Meyer, P. Ramuhalli, B. Watson, S. Pitman, T. Roosendaal, L. Bond

Proceedings Volume 8347, 83470D (2012) https://doi.org/10.1117/12.915458

KEYWORDS: Nondestructive evaluation, Acoustic emission, Acoustics, Signal analyzers, Waveguides, Signal detection, Sensors, Electronic filtering, Signal processing, Visualization

Read Abstract +

Proceedings Article | 15 April 2011 Paper

Evaluation of signal processing tools for improving phased array ultrasonic weld inspection

P. Ramuhalli, A. Cinson, S. Crawford, R. Harris, A. Diaz, M. Anderson

Proceedings Volume 7982, 798212 (2011) https://doi.org/10.1117/12.882000

KEYWORDS: Signal to noise ratio, Ultrasonics, Signal processing, Inspection, Interference (communication), Acoustics, Scattering, Phased arrays, Data fusion, Laser scattering

Read Abstract +

Proceedings Article | 1 April 2011 Paper

Acoustic emission and guided wave monitoring of fatigue crack growth on a full pipe specimen

R. Meyer, S. Cumblidge, P. Ramuhalli, B. Watson, S. Doctor, L. Bond

Proceedings Volume 7984, 798424 (2011) https://doi.org/10.1117/12.881795

KEYWORDS: Signal detection, Waveguides, Sensors, Acoustic emission, Visualization, Ultrasonics, Amplifiers, Transducers, Receivers, Wave propagation

Read Abstract +

Proceedings Article | 9 May 2005 Paper

Managed traffic evacuation using distributed sensor processing

Pradeep Ramuhalli, Subir Biswas

Proceedings Volume 5769, (2005) https://doi.org/10.1117/12.599738

KEYWORDS: Sensors, Sensor networks, Actuators, Computer simulations, Signal processing, Biological detection systems, Algorithm development, Data modeling, Earthquakes, Environmental sensing

Read Abstract +

Proceedings Article | 14 October 2003 Paper

Modeling and signal processing of magneto-optic images for aviation applications

P. Ramuhalli, James Slade, U. Park, Liang Xuan, L. Udpa

Proceedings Volume 5062, (2003) https://doi.org/10.1117/12.514759

KEYWORDS: Sensors, Magnetism, Image filtering, Magneto-optics, Magnetic sensors, Molybdenum, Digital filtering, Image processing, Signal processing, Corrosion

Read Abstract +

Showing 5 of 10 publications

Conference Committee Involvement (3)

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

Keywords/Phrases

Search In:

Publication Years