Modal identification through ambient vibration: comparative study DF Giraldo, W Song, SJ Dyke, JM Caicedo Journal of engineering mechanics 135 (8), 759-770, 2009 | 148 | 2009 |
Deep learning-based roadway crack classification using laser-scanned range images: A comparative study on hyperparameter selection S Zhou, W Song Automation in Construction 114, 103171, 2020 | 98 | 2020 |
Real-time dynamic model updating of a hysteretic structural system W Song, S Dyke Journal of Structural Engineering 140 (3), 04013082, 2014 | 84 | 2014 |
Investigation of the structural effect induced by stagger joints in segmental tunnel linings: Direct insight from mechanical behaviors of longitudinal and circumferential joints X Liu, Z Dong, W Song, Y Bai Tunnelling and Underground Space Technology 71, 271-291, 2018 | 65 | 2018 |
A Two-Stage Damage Detection Approach based on Subset of Damage Parameters and Genetic Algorithms GJ Yun, KA Ogorzalek, SJ Dyke, W Song Smart Structures and Systems 5 (1), 1-21, 2008 | 57* | 2008 |
Generalized minimum variance unbiased joint input-state estimation and its unscented scheme for dynamic systems with direct feedthrough W Song Mechanical Systems and Signal Processing 99, 886-920, 2018 | 53 | 2018 |
Application of nonlinear model updating for a reinforced concrete shear wall W Song, S Dyke, T Harmon Journal of engineering mechanics 139 (5), 635-649, 2013 | 44 | 2013 |
A parameter subset selection method using residual force vector for detecting multiple damage locations GJ Yun, KA Ogorzalek, SJ Dyke, W Song Structural Control and Health Monitoring: The Official Journal of the …, 2010 | 40 | 2010 |
Improved damage localization and quantification using subset selection W Song, S Dyke, GJ Yun, T Harmon Journal of Engineering Mechanics 135, 548, 2009 | 40 | 2009 |
Deep learning-based crack segmentation for civil infrastructure: Data types, architectures, and benchmarked performance S Zhou, C Canchila, W Song Automation in Construction 146, 104678, 2023 | 38 | 2023 |
Crack segmentation through deep convolutional neural networks and heterogeneous image fusion S Zhou, W Song Automation in Construction 125, 103605, 2021 | 37 | 2021 |
Development and testing of a bridge weigh-in-motion method considering nonconstant vehicle speed A Lansdell, W Song, B Dixon Engineering Structures 152, 709-726, 2017 | 37 | 2017 |
Development of a cyber-physical experimental platform for real-time dynamic model updating W Song, S Dyke Mechanical Systems and Signal Processing 37 (1-2), 388-402, 2013 | 31 | 2013 |
Concrete roadway crack segmentation using encoder-decoder networks with range images S Zhou, W Song Automation in Construction 120, 103403, 2020 | 29 | 2020 |
Robust image-based surface crack detection using range data S Zhou, W Song Journal of Computing in Civil Engineering 34 (2), 04019054, 2020 | 29 | 2020 |
Conceptual Study of a Real-Time Hybrid Simulation Framework for Monopile Offshore Wind Turbines Under Wind and Wave Loads W Song, C Sun, Y Zuo, V Jahangiri, Y Lu, Q Han Frontiers in Built Environment 6, 129, 2020 | 28 | 2020 |
Hybrid simulation: a discussion of current assessment measures R Christenson, SJ Dyke, J Zhang, G Mosqueda, C Chen, N Nakata, ... Earthq. Eng. Res., NSF, NEES, West Lafayette, Indiana, Tech. Rep. Cmmi, 2014 | 28 | 2014 |
Deep learning–based roadway crack classification with heterogeneous image data fusion S Zhou, W Song Structural Health Monitoring 20 (3), 1274-1293, 2021 | 27 | 2021 |
Experimental and analytical investigation of end zone cracking in BT-78 girders VS Ronanki, DI Burkhalter, S Aaleti, W Song, JA Richardson Engineering Structures 151, 503-517, 2017 | 27 | 2017 |
Numerical modeling and parametric study of hybrid fiber-rebar reinforced concrete tunnel linings X Liu, Q Sun, W Song, Y Bao Engineering Structures 251, 113565, 2022 | 24 | 2022 |