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Proceedings Papers

Development of a Structural Health Monitoring Methodology in Reinforced Concrete Structures Using FBGs and Pattern Recognition Techniques

Alejandra Amaya, Joham Alvarez-Montoya, Julián Sierra-Pérez
Proc. ASME. SMASIS2019, ASME 2019 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, V001T05A002, September 9–11, 2019
Paper No: SMASIS2019-5517
DOI: https://doi.org/10.1115/SMASIS2019-5517
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Topics: Damage, Fiber Bragg gratings, Pattern recognition, Reinforced concrete, Structural health monitoring
Proceedings Papers

Application of Swarm Intelligence to a Vibration Monitoring System

Takuya Hiura, Shin Morishita
Proc. ASME. SMASIS2017, Volume 2: Modeling, Simulation and Control of Adaptive Systems; Integrated System Design and Implementation; Structural Health Monitoring, V002T03A004, September 18–20, 2017
Paper No: SMASIS2017-3734
DOI: https://doi.org/10.1115/SMASIS2017-3734
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Topics: Vibration monitors, Actuators, Sensors, Vibration, Adaptive control, Artificial intelligence, Artificial neural networks, Control systems, Dampers, Damping
Proceedings Papers

Localized Damage Identification of Plate-Like Structures With Time-Delayed Binary Data From a Self-Powered Sensor Network

Hadi Salehi, Rigoberto Burgueño, Saptarshi Das, Subir Biswas, Shantanu Chakrabartty
Proc. ASME. SMASIS2017, Volume 2: Modeling, Simulation and Control of Adaptive Systems; Integrated System Design and Implementation; Structural Health Monitoring, V002T05A008, September 18–20, 2017
Paper No: SMASIS2017-3941
DOI: https://doi.org/10.1115/SMASIS2017-3941
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Topics: Damage, Sensor networks, Algorithms, Delays, Design, Energy harvesting, Finite element model, Machine learning, Matrix decomposition, Pattern recognition
Proceedings Papers

Structural Assessment and Damage Identification Algorithms Using Binary Data

Hadi Salehi, Saptarshi Das, Shantanu Chakrabartty, Subir Biswas, Rigoberto Burgueño
Proc. ASME. SMASIS2015, Volume 2: Integrated System Design and Implementation; Structural Health Monitoring; Bioinspired Smart Materials and Systems; Energy Harvesting, V002T05A011, September 21–23, 2015
Paper No: SMASIS2015-9054
DOI: https://doi.org/10.1115/SMASIS2015-9054
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Topics: Algorithms, Damage, Sensors, Structural health monitoring, Aluminum plate, Engineering simulation, Finite element analysis, Materials degradation, Pattern recognition, Principal component analysis
Proceedings Papers

Detecting Cracks in Reciprocating Compressor Valves Using Pattern Recognition in Frequency Space

Kurt Pichler, Edwin Lughofer, Thomas Buchegger, Erich Peter Klement, Matthias Huschenbett
Proc. ASME. SMASIS2012, Volume 1: Development and Characterization of Multifunctional Materials; Modeling, Simulation and Control of Adaptive Systems; Structural Health Monitoring, 749-756, September 19–21, 2012
Paper No: SMASIS2012-8052
DOI: https://doi.org/10.1115/SMASIS2012-8052
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Topics: Compressors, Crack detection, Pattern recognition, Valves, Noise (Sound), Vibration
Proceedings Papers

Four-State Straintronics: Extremely Low Power Nanomagnetic Logic Using Multiferroics With Biaxial Anisotropy

Noel M. D’Souza, Jayasimha Atulasimha, Supriyo Bandyopadhyay
Proc. ASME. SMASIS2011, ASME 2011 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, Volume 1, 239-247, September 18–21, 2011
Paper No: SMASIS2011-5242
DOI: https://doi.org/10.1115/SMASIS2011-5242
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Topics: Anisotropy, Circuits, Magnetization, Complementary metal oxide semiconductors, Density, Electric potential, Energy dissipation, Gates (Closures), Nanoscale phenomena, Pattern recognition
Proceedings Papers

Experimental Detection and Quantitative Interrogation of Damage in a Jointed Composite Structure

Vanessa Gentzen, Young-Tai Choi, Ashish S. Purekar, Norman M. Wereley
Proc. ASME. SMASIS2008, Smart Materials, Adaptive Structures and Intelligent Systems, Volume 2, 159-166, October 28–30, 2008
Paper No: SMASIS2008-487
DOI: https://doi.org/10.1115/SMASIS2008-487
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Topics: Composite materials, Damage, Excitation, Pattern recognition, Signals, Algorithms, Frequency response, Piezoelectric transducers, Sensors, Structural health monitoring