The application of a damage detection method using Artificial Neural Network and train-induced vibrations on a simplified railway bridge model J Shu, Z Zhang, I Gonzalez, R Karoumi Engineering structures 52, 408-421, 2013 | 124 | 2013 |
Two-way slabs: Experimental investigation of load redistributions in steel fibre reinforced concrete D Fall, J Shu, R Rempling, K Lundgren, K Zandi Engineering Structures 80, 61-74, 2014 | 59 | 2014 |
Prediction of punching behaviour of RC slabs using continuum non-linear FE analysis J Shu, M Plos, K Zandi, M Johansson, F Nilenius Engineering Structures 125, 15-25, 2016 | 44 | 2016 |
Internal force distribution in RC slabs subjected to punching shear J Shu, B Belletti, A Muttoni, M Scolari, M Plos Engineering structures 153, 766-781, 2017 | 40 | 2017 |
Development of modelling strategies for two-way RC slabs J Shu, D Fall, M Plos, K Zandi, K Lundgren Engineering Structures 101, 439-449, 2015 | 38 | 2015 |
Data anomaly detection for structural health monitoring using a combination network of GANomaly and CNN G Liu, Y Niu, W Zhao, Y Duan, J Shu Smart Struct. Syst 29 (1), 53-62, 2022 | 37 | 2022 |
Automatic pixel‐level crack detection and evaluation of concrete structures using deep learning W Zhao, Y Liu, J Zhang, Y Shao, J Shu Structural Control and Health Monitoring 29 (8), e2981, 2022 | 36 | 2022 |
A multi-level structural assessment strategy for reinforced concrete bridge deck slabs M Plos, J Shu, K Zandi, K Lundgren Structure and Infrastructure Engineering 13 (2), 223-241, 2017 | 33 | 2017 |
BIM-based task and motion planning prototype for robotic assembly of COVID-19 hospitalisation light weight structures Y Gao, J Meng, J Shu, Y Liu Automation in Construction, 104370, 2022 | 27 | 2022 |
Crack detection and quantification for concrete structures using UAV and transformer W Ding, H Yang, K Yu, J Shu Automation in Construction 152, 104929, 2023 | 24 | 2023 |
Automated recognition and measurement based on three-dimensional point clouds to connect precast concrete components W Zhao, Y Jiang, Y Liu, J Shu Automation in Construction 133, 104000, 2022 | 23 | 2022 |
Dynamic monitoring and data analysis of a long-span arch bridge based on high-rate GNSS-RTK measurement combining CF-CEEMD method Y Niu, Y Ye, W Zhao, J Shu Journal of Civil Structural Health Monitoring 11, 35-48, 2021 | 23 | 2021 |
Punching capacity of a reinforced concrete bridge deck slab loaded to failure N Bagge, J Shu, M Plos, L Elfgren Nordic Concrete Federation: Residual capacity of deteriorated concrete …, 2015 | 21 | 2015 |
A multi-task learning-based automatic blind identification procedure for operational modal analysis J Shu, C Zhang, Y Gao, Y Niu Mechanical Systems and Signal Processing 187, 109959, 2023 | 18 | 2023 |
Assessment of a cantilever bridge deck slab using multi-level assessment strategy and decision support framework J Shu, D Honfi, M Plos, K Zandi, J Magnusson Engineering Structures 200, 109666, 2019 | 16 | 2019 |
Shear capacity of a RC bridge deck slab: Comparison between multilevel assessment and field test J Shu, N Bagge, M Plos, M Johansson, Y Yang, K Zandi Journal of Structural Engineering 144 (7), 04018081, 2018 | 16 | 2018 |
Crack semantic segmentation using the U-Net with full attention strategy F Lin, J Yang, J Shu, RJ Scherer arXiv preprint arXiv:2104.14586, 2021 | 15 | 2021 |
Model-informed deep learning strategy with vision measurement for damage identification of truss structures J Shu, C Zhang, X Chen, Y Niu Mechanical Systems and Signal Processing 196, 110327, 2023 | 13 | 2023 |
Continual‐learning‐based framework for structural damage recognition J Shu, W Ding, J Zhang, F Lin, Y Duan Structural Control and Health Monitoring 29 (11), e3093, 2022 | 12 | 2022 |
Identifying modal parameters of a multispan bridge based on high-rate GNSS–RTK measurement using the CEEMD–RDT approach Y Niu, Y Ye, W Zhao, Y Duan, J Shu Journal of Bridge Engineering 26 (8), 04021049, 2021 | 12 | 2021 |