Search Results | SMASIS | ASME Digital Collection

1-15 of 15

Sort by

Sort Order Select

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

DOI: https://doi.org/10.1115/SMASIS2022-92009

View Paper

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

DOI: https://doi.org/10.1115/SMASIS2022-88421

View Paper

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

DOI: https://doi.org/10.1115/SMASIS2022-90377

View Paper

Topics: Boundary-value problems, Sensors, Structural elements (Construction), Algorithms, Compression, Damage, Digital twin, Errors, Finite element analysis, Machine learning

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

DOI: https://doi.org/10.1115/SMASIS2021-67961

View Paper

Topics: Acoustics, Adaptive structures, Artificial intelligence, Design, Machine learning, Noise (Sound), Smart structures

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

DOI: https://doi.org/10.1115/SMASIS2021-67538

View Paper

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

DOI: https://doi.org/10.1115/SMASIS2021-68292

View Paper

Topics: Algorithms, Damage, Knee joint prostheses, Machine learning, Structural health monitoring

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

DOI: https://doi.org/10.1115/SMASIS2020-2249

View Paper

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

DOI: https://doi.org/10.1115/SMASIS2020-2311

View Paper

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

DOI: https://doi.org/10.1115/SMASIS2019-5697

View Paper

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

DOI: https://doi.org/10.1115/SMASIS2019-5515

View Paper

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

DOI: https://doi.org/10.1115/SMASIS2018-8137

View Paper

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

DOI: https://doi.org/10.1115/SMASIS2017-3842

View Paper

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

DOI: https://doi.org/10.1115/SMASIS2017-3882

View Paper

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

Paper No: SMASIS2017-3941

DOI: https://doi.org/10.1115/SMASIS2017-3941

View Paper

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

DOI: https://doi.org/10.1115/SMASIS2011-5191

View Paper

Topics: Damage, Finite element model, Machine learning, Piezoelectric transducers, Satellites, Sensors, Signals, Space vehicles, Structural health monitoring, Support vector machines

NARROW

MFC Morphing Aileron Control With Intelligent Sensing

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

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

AI Supported Noise Analyses for Structure Design Requirements Definition

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

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

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

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

Structural Health Monitoring of Composite Structures via Machine Learning of Mechanoluminescence

Design-Oriented Multifidelity Fluid Simulation Using Machine Learned Fidelity Mapping

Deep Learning Based Spectrum Compression Algorithm for Rotating Machinery Condition Monitoring

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

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

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

Insight Into Active Health Monitoring Methods Using Machine Learning

Journals

Conference Proceedings

eBooks

Resources

Opportunities

Journals

Conference Proceedings

eBooks

Resources

Opportunities

This Feature Is Available To Subscribers Only