Data‐driven prediction and interpretation of fatigue damage in a road‐rail suspension bridge considering multiple loads
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Data‐driven prediction and interpretation of fatigue damage in a road‐rail suspension bridge considering multiple loads
Authors
Keywords
-
Journal
Structural Control & Health Monitoring
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2022-05-18
DOI
10.1002/stc.2997
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Implementing ensemble learning methods to predict the shear strength of RC deep beams with/without web reinforcements
- (2021) De-Cheng Feng et al. ENGINEERING STRUCTURES
- Complex frequency identification using real modal shapes for a structure with proportional damping
- (2021) Chun‐Xu Qu et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Long-term temperature field of steel-box girder of a long-span bridge: Measurement and simulation
- (2021) Tianyou Tao et al. ENGINEERING STRUCTURES
- Damage detection in railway bridges using traffic-induced dynamic responses
- (2021) Andreia Meixedo et al. ENGINEERING STRUCTURES
- Reliability-based vehicle weight limit determination for urban bridge network subjected to stochastic traffic flow considering vehicle-bridge coupling
- (2021) Shi-Zhi Chen et al. ENGINEERING STRUCTURES
- Transfer-learning guided Bayesian model updating for damage identification considering modeling uncertainty
- (2021) Zhiming Zhang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Predicting fatigue damage of highway suspension bridge hangers using weigh-in-motion data and machine learning
- (2020) Yang Deng et al. Structure and Infrastructure Engineering
- Analytical solution to temperature-induced deformation of suspension bridges
- (2020) Yi Zhou et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Dynamic response reconstruction for structural health monitoring using densely connected convolutional networks
- (2020) Gao Fan et al. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
- Automatic Operational Modal Analysis of Complex Civil Infrastructures
- (2020) João Santos et al. Structural Engineering International
- A numerical study on multi‐site damage identification: A data‐driven method via constrained independent component analysis
- (2020) Zhiming Zhang et al. Structural Control & Health Monitoring
- Structural damage identification via physics-guided machine learning: a methodology integrating pattern recognition with finite element model updating
- (2020) Zhiming Zhang et al. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
- Review on the new development of vibration-based damage identification for civil engineering structures: 2010–2019
- (2020) Rongrong Hou et al. JOURNAL OF SOUND AND VIBRATION
- Load-carrying capacity evaluation of girder bridge using moving vehicle
- (2020) Zhen Sun et al. ENGINEERING STRUCTURES
- Probabilistic machine learning approach to bridge fatigue failure analysis due to vehicular overloading
- (2019) Wangchen Yan et al. ENGINEERING STRUCTURES
- Machine learning-based compressive strength prediction for concrete: An adaptive boosting approach
- (2019) De-Cheng Feng et al. CONSTRUCTION AND BUILDING MATERIALS
- Rapid seismic damage evaluation of bridge portfolios using machine learning techniques
- (2019) Sujith Mangalathu et al. ENGINEERING STRUCTURES
- Jiangyin Bridge: An Example of Integrating Structural Health Monitoring with Bridge Maintenance
- (2018) Zhen Sun et al. Structural Engineering International
- Seismic response of a suspension bridge: Insights from long-term full-scale seismic monitoring system
- (2018) Dionysius M. Siringoringo et al. Structural Control & Health Monitoring
- Convolutional neural network-based data anomaly detection method using multiple information for structural health monitoring
- (2018) Zhiyi Tang et al. Structural Control & Health Monitoring
- Damage detection in structural systems utilizing artificial neural networks and proper orthogonal decomposition
- (2018) Saeed Eftekhar Azam et al. Structural Control & Health Monitoring
- A pattern recognition artificial neural network method for random fatigue loading life prediction
- (2017) J.F. Durodola et al. INTERNATIONAL JOURNAL OF FATIGUE
- Utilization of structural health monitoring in long-span bridges: Case studies
- (2017) Zhen Sun et al. Structural Control & Health Monitoring
- Weigh-in-motion implementation in an old metallic railway bridge
- (2016) Fernando Marques et al. ENGINEERING STRUCTURES
- Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation
- (2015) Alex Goldstein et al. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
- Investigation of fatigue performance of welded details in long-span steel bridges using long-term monitoring strain data
- (2015) Yang Deng et al. Structural Control & Health Monitoring
- Analysis of dynamic and fatigue effects in an old metallic riveted bridge
- (2014) Fernando Marques et al. JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
- Fatigue reliability assessment of a historic railway bridge designed by Gustave Eiffel
- (2014) Paolo Basso et al. Structure and Infrastructure Engineering
- Statistical analysis of stress spectra for fatigue life assessment of steel bridges with structural health monitoring data
- (2012) X.W. Ye et al. ENGINEERING STRUCTURES
- Observed along-wind vibration of a suspension bridge tower
- (2012) Dionysius M. Siringoringo et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
- Recent perspectives in dynamic testing and monitoring of bridges
- (2012) A. Cunha et al. Structural Control & Health Monitoring
- Field monitoring and numerical analysis of Tsing Ma Suspension Bridge temperature behavior
- (2012) Yong Xia et al. Structural Control & Health Monitoring
- Fatigue reliability analysis of steel bridge details based on field-monitored data and linear elastic fracture mechanics
- (2011) Tong Guo et al. Structure and Infrastructure Engineering
- Vibration of reinforced concrete viaducts under high-speed train passage: measurement and prediction including train–viaduct interaction
- (2009) Di Su et al. Structure and Infrastructure Engineering
- Evaluation of dynamic effects and fatigue assessment of a metallic railway bridge
- (2009) Fernando Marques et al. Structure and Infrastructure Engineering
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now