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Proceedings Papers

MFC Morphing Aileron Control With Intelligent Sensing

Kevin PT. Haughn, Lawren L. Gamble, Daniel J. Inman
Proc. ASME. SMASIS2022, ASME 2022 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, V001T03A013, September 12–14, 2022
Paper No: SMASIS2022-92009
https://doi.org/10.1115/SMASIS2022-92009
View Paper titled, MFC Morphing Aileron Control With Intelligent Sensing
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Topics: Actuators, Aerospace industry, Airfoils, Artificial neural networks, Composite materials, Control equipment, Creep, Deflection, Feedback, Fibers
Proceedings Papers

Vibration-Based Bridge Damage Detection Using Image-Based Pre-Trained Deep Learning Network

Xi Song, Joshua Dyogi, Chunhee Cho
Proc. ASME. SMASIS2022, ASME 2022 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, V001T05A001, September 12–14, 2022
Paper No: SMASIS2022-88421
https://doi.org/10.1115/SMASIS2022-88421
View Paper titled, Vibration-Based Bridge Damage Detection Using Image-Based Pre-Trained Deep Learning Network
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Topics: Bridges (Structures), Damage, Machine learning, Vibration, Wavelet transforms
Proceedings Papers

Methods for the Rapid Detection of Boundary Condition Variations in Structural Systems

Xuyang Li, Talal Salem, Hamed Bolandi, Vishnu Boddeti, Nizar Lajnef
Proc. ASME. SMASIS2022, ASME 2022 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, V001T05A004, September 12–14, 2022
Paper No: SMASIS2022-90377
https://doi.org/10.1115/SMASIS2022-90377
View Paper titled, Methods for the Rapid Detection of Boundary Condition Variations in Structural Systems
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Topics: Boundary-value problems, Sensors, Structural elements (Construction), Algorithms, Compression, Damage, Digital twin, Errors, Finite element analysis, Machine learning
Proceedings Papers

Feature Generation and Selection for Identification of Damage in Thin-Walled Structures Based on a Statistical Approach

Afshin Sattarifar, Tamara Nestorović
Proc. ASME. SMASIS2021, ASME 2021 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, V001T08A003, September 14–15, 2021
Paper No: SMASIS2021-67538
https://doi.org/10.1115/SMASIS2021-67538
View Paper titled, Feature Generation and Selection for Identification of Damage in Thin-Walled Structures Based on a Statistical Approach
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Topics: Damage, Thin wall structures, Algorithms, Aluminum plate, Computer simulation, Guided wave ultrasonic testing, Machine learning, Signals, Statistical analysis, Wave propagation
Proceedings Papers

Comparison of Classification Machine Learning Algorithms for Damage Detection in Simulated Total Knee Replacements

Brandon A. Miller, Steven R. Anton
Proc. ASME. SMASIS2021, ASME 2021 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, V001T08A010, September 14–15, 2021
Paper No: SMASIS2021-68292
https://doi.org/10.1115/SMASIS2021-68292
View Paper titled, Comparison of Classification Machine Learning Algorithms for Damage Detection in Simulated Total Knee Replacements
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Topics: Algorithms, Damage, Knee joint prostheses, Machine learning, Structural health monitoring
Proceedings Papers

AI Supported Noise Analyses for Structure Design Requirements Definition

Simona Domazetovska, Viktor Gavriloski, Jovana Jovanova
Proc. ASME. SMASIS2021, ASME 2021 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, V001T03A004, September 14–15, 2021
Paper No: SMASIS2021-67961
https://doi.org/10.1115/SMASIS2021-67961
View Paper titled, AI Supported Noise Analyses for Structure Design Requirements Definition
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Topics: Acoustics, Adaptive structures, Artificial intelligence, Design, Machine learning, Noise (Sound), Smart structures
Proceedings Papers

Resistance-Based Temperature Monitoring Using Machine Learning and Adapted Activation for an SMA Locking System in Aircraft Interiors

Benedict Theren, Simon Fahle, Antonia Weirich, Bernd Kuhlenkötter
Proc. ASME. SMASIS2020, ASME 2020 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, V001T05A004, September 15, 2020
Paper No: SMASIS2020-2249
https://doi.org/10.1115/SMASIS2020-2249
View Paper titled, Resistance-Based Temperature Monitoring Using Machine Learning and Adapted Activation for an SMA Locking System in Aircraft Interiors
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Topics: Actuators, Aircraft, Machine learning, Temperature
Proceedings Papers

Sensor-Data Reconstruction for Helicopter Structural-Health Monitoring Using Deep Learning

Andrew D. Harper, Nick Breen, David Alvord, David Pendleton, Teresa Hresko
Proc. ASME. SMASIS2020, ASME 2020 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, V001T08A003, September 15, 2020
Paper No: SMASIS2020-2311
https://doi.org/10.1115/SMASIS2020-2311
View Paper titled, Sensor-Data Reconstruction for Helicopter Structural-Health Monitoring Using Deep Learning
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Topics: Sensors, Accelerometers, Flight, Maintenance, Vehicles, Artificial neural networks, Damage assessment, Downtime, Failure mechanisms, Machine learning
Proceedings Papers

Structural Health Monitoring of Composite Structures via Machine Learning of Mechanoluminescence

Sujasha Gupta, Srivatsava Krishnan, Vishnubaba Sundaresan
Proc. ASME. SMASIS2019, ASME 2019 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, V001T05A004, September 9–11, 2019
Paper No: SMASIS2019-5697
https://doi.org/10.1115/SMASIS2019-5697
View Paper titled, Structural Health Monitoring of Composite Structures via Machine Learning of Mechanoluminescence
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Topics: Composite materials, Machine learning, Structural health monitoring
Proceedings Papers

Design-Oriented Multifidelity Fluid Simulation Using Machine Learned Fidelity Mapping

Kazuko Fuchi, Eric M. Wolf, David S. Makhija, Nathan A. Wukie, Christopher R. Schrock, Philip S. Beran
Proc. ASME. SMASIS2019, ASME 2019 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, V001T04A003, September 9–11, 2019
Paper No: SMASIS2019-5515
https://doi.org/10.1115/SMASIS2019-5515
View Paper titled, Design-Oriented Multifidelity Fluid Simulation Using Machine Learned Fidelity Mapping
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Topics: Design, Fluids, Machinery, Simulation, Machine learning, Algorithms, Cylinders, Flow (Dynamics), Physics, Complex systems
Proceedings Papers

Deep Learning Based Spectrum Compression Algorithm for Rotating Machinery Condition Monitoring

Gürkan Aydemir
Proc. ASME. SMASIS2018, Volume 1: Development and Characterization of Multifunctional Materials; Modeling, Simulation, and Control of Adaptive Systems; Integrated System Design and Implementation, V001T03A027, September 10–12, 2018
Paper No: SMASIS2018-8137
https://doi.org/10.1115/SMASIS2018-8137
View Paper titled, Deep Learning Based Spectrum Compression Algorithm for Rotating Machinery Condition Monitoring
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Topics: Algorithms, Compression, Condition monitoring, Machinery, Bearings, Maintenance, Signals, Artificial neural networks, Feature extraction, Flaw detection
Proceedings Papers

Optimization of Spatially Distributed Contact-Aided Compliant Mechanisms in a Dynamic Structure

Joseph Calogero, Mary Frecker, Zohaib Hasnain, James E. Hubbard, Jr.
Proc. ASME. SMASIS2017, Volume 1: Development and Characterization of Multifunctional Materials; Mechanics and Behavior of Active Materials; Bioinspired Smart Materials and Systems; Energy Harvesting; Emerging Technologies, V001T06A010, September 18–20, 2017
Paper No: SMASIS2017-3842
https://doi.org/10.1115/SMASIS2017-3842
View Paper titled, Optimization of Spatially Distributed Contact-Aided Compliant Mechanisms in a Dynamic Structure
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Topics: Compliant mechanisms, Optimization, Wings, Design, Shapes, Genetic algorithms, Center of mass, Dynamics (Mechanics), Machine learning, Spar platforms
Proceedings Papers

A Sensor Fusion Based Pan-Tilt Platform for Activity Tracking and Fall Detection

Zhangjie Chen, Hanwei Liu, Yuqiao Wang, Ya Wang
Proc. ASME. SMASIS2017, Volume 2: Modeling, Simulation and Control of Adaptive Systems; Integrated System Design and Implementation; Structural Health Monitoring, V002T05A005, September 18–20, 2017
Paper No: SMASIS2017-3882
https://doi.org/10.1115/SMASIS2017-3882
View Paper titled, A Sensor Fusion Based Pan-Tilt Platform for Activity Tracking and Fall Detection
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Topics: Sensors, Algorithms, Support vector machines, Degrees of freedom, Machine learning, Monitoring systems, Rotation
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
https://doi.org/10.1115/SMASIS2017-3941
View Paper titled, Localized Damage Identification of Plate-Like Structures With Time-Delayed Binary Data From a Self-Powered Sensor Network
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Topics: Damage, Sensor networks, Algorithms, Delays, Design, Energy harvesting, Finite element model, Machine learning, Matrix decomposition, Pattern recognition
Proceedings Papers

Insight Into Active Health Monitoring Methods Using Machine Learning

Whitney Reynolds, Derek Doyle, Brandon Arritt
Proc. ASME. SMASIS2011, ASME 2011 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, Volume 2, 535-543, September 18–21, 2011
Paper No: SMASIS2011-5191
https://doi.org/10.1115/SMASIS2011-5191
View Paper titled, Insight Into Active Health Monitoring Methods Using Machine Learning
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Topics: Damage, Finite element model, Machine learning, Piezoelectric transducers, Satellites, Sensors, Signals, Space vehicles, Structural health monitoring, Support vector machines