Structural sensing with deep learning: Strain estimation from acceleration data for fatigue assessment
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Structural sensing with deep learning: Strain estimation from acceleration data for fatigue assessment
Authors
Keywords
-
Journal
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2020-05-20
DOI
10.1111/mice.12565
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Convolutional Neural Network Approach for Robust Structural Damage Detection and Localization
- (2019) Nur Sila Gulgec et al. JOURNAL OF COMPUTING IN CIVIL ENGINEERING
- Road Damage Detection and Classification Using Deep Neural Networks with Smartphone Images
- (2018) Hiroya Maeda et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Deep Learning for Accelerated Seismic Reliability Analysis of Transportation Networks
- (2018) Mohammad Amin Nabian et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- A novel unsupervised deep learning model for global and local health condition assessment of structures
- (2018) Mohammad Hossein Rafiei et al. ENGINEERING STRUCTURES
- Remaining useful life estimation of engineered systems using vanilla LSTM neural networks
- (2018) Yuting Wu et al. NEUROCOMPUTING
- Deep neural network with high-order neuron for the prediction of foamed concrete strength
- (2018) Tuan Nguyen et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Image-based post-disaster inspection of reinforced concrete bridge systems using deep learning with Bayesian optimization
- (2018) Xiao Liang COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Full-field, high-spatial-resolution detection of local structural damage from low-resolution random strain field measurements
- (2017) Yongchao Yang et al. JOURNAL OF SOUND AND VIBRATION
- Fatigue assessment of offshore wind turbines on monopile foundations using multi-band modal expansion
- (2017) Alexandros Iliopoulos et al. WIND ENERGY
- Truncated Physical Model for Dynamic Sensor Networks with Applications in High-Resolution Mobile Sensing and BIGDATA
- (2016) Thomas J. Matarazzo et al. JOURNAL OF ENGINEERING MECHANICS
- Dynamic strain estimation for fatigue assessment of an offshore monopile wind turbine using filtering and modal expansion algorithms
- (2016) K. Maes et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Technique for Determining Bridge Displacement Response Using MEMS Accelerometers
- (2016) Hidehiko Sekiya et al. SENSORS
- Truncated Physical Model for Dynamic Sensor Networks with Applications in High-Resolution Mobile Sensing and BIGDATA
- (2016) Thomas J. Matarazzo et al. JOURNAL OF ENGINEERING MECHANICS
- Modal Analysis Based Stress Estimation for Structural Elements Subjected to Operational Dynamic Loadings
- (2015) F. Pelayo et al. EXPERIMENTAL MECHANICS
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Experimental validation of Kalman filter-based strain estimation in structures subjected to non-zero mean input
- (2015) Rajendra P. Palanisamy et al. Smart Structures and Systems
- Prediction of Full Field Dynamic Strain from Limited Sets of Measured Data
- (2014) Peter Avitabile et al. SHOCK AND VIBRATION
- Extension of indirect displacement estimation method using acceleration and strain to various types of beam structures
- (2014) Soojin Cho et al. Smart Structures and Systems
- Displacement Estimation Using Multimetric Data Fusion
- (2013) Jong-Woong Park et al. IEEE-ASME TRANSACTIONS ON MECHATRONICS
- Observer Kalman Filter Identification for Output-Only Systems Using Interactive Structural Modal Identification Toolsuite
- (2013) Minwoo Chang et al. Journal of Bridge Engineering
- Recurrent Neural Networks for Uncertain Time-Dependent Structural Behavior
- (2010) W. Graf et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Fatigue predictions in entire body of metallic structures from a limited number of vibration sensors using Kalman filtering
- (2010) Costas Papadimitriou et al. Structural Control & Health Monitoring
- Design of an FIR filter for the displacement reconstruction using measured acceleration in low-frequency dominant structures
- (2009) Hae Sung Lee et al. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
- Displacement field estimation for a two-dimensional structure using fiber Bragg grating sensors
- (2009) Stephan Rapp et al. Smart Materials and Structures
- A State-Space Approach for Deriving Bridge Displacement from Acceleration
- (2008) Mayrai Gindy et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Design and Implementation of Scalable Wireless Sensor Network for Structural Monitoring
- (2008) Shamim N. Pakzad et al. Journal of Infrastructure Systems
- Evaluation of Sensor Performance for Concrete Applications
- (2008) Sherif Yehia et al. TRANSPORTATION RESEARCH RECORD
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More