An efficient model for predicting the train-induced ground-borne vibration and uncertainty quantification based on Bayesian neural network R Liang, W Liu, M Ma, W Liu Journal of Sound and Vibration 495, 115908, 2021 | 39 | 2021 |
Effect of longitudinally varying characteristics of soil on metro train-induced ground vibrations based on wave propagation analysis L Xu, M Ma, R Cao, X Tan, R Liang Soil Dynamics and Earthquake Engineering 152, 107020, 2022 | 31 | 2022 |
Experimental study of the source and transmission characteristics of train-induced vibration in the over-track building in a metro depot R Liang, D Ding, W Liu, F Sun, Y Cheng Journal of Vibration and Control 29 (7-8), 1738-1751, 2023 | 30 | 2023 |
A novel efficient probabilistic prediction approach for train-induced ground vibrations based on transfer learning R Liang, W Liu, C Li, W Li, Z Wu Journal of Vibration and Control 30 (3-4), 576-587, 2024 | 23 | 2024 |
A traffic noise source identification method for buildings adjacent to multiple transport infrastructures based on deep learning R Liang, W Liu, W Li, Z Wu Building and Environment 211, 108764, 2022 | 21 | 2022 |
Deep learning based identification and uncertainty analysis of metro train induced ground-borne vibration W Liu, R Liang, H Zhang, Z Wu, B Jiang Mechanical Systems and Signal Processing 189, 110062, 2023 | 19 | 2023 |
Detecting the void behind the tunnel lining by impact-echo methods with different signal analysis approaches R Cao, M Ma, R Liang, C Niu Applied Sciences 9 (16), 3280, 2019 | 19 | 2019 |
Identification of vertical wheel-rail contact force based on an analytical model and measurement and its application in predicting ground-borne vibration C Li, W Liu, R Liang Measurement 186, 110182, 2021 | 13 | 2021 |
考虑地层动力特性差异的减振轨道减振效果评价 梁瑞华, 马蒙, 刘卫丰, 杜林林, 李林峰 工程力学 37 (S1), 75-81, 2020 | 12 | 2020 |
Solving elastodynamics via physics-informed neural network frequency domain method R Liang, W Liu, L Xu, X Qu, S Kaewunruen International Journal of Mechanical Sciences 258, 108575, 2023 | 8 | 2023 |
Classification of External Vibration Sources through Data‐Driven Models Using Hybrid CNNs and LSTMs R Liang, W Liu, S Kaewunruen, H Zhang, Z Wu Structural Control and Health Monitoring 2023 (1), 1900447, 2023 | 4 | 2023 |
An analytical model for dynamic analysis of inhomogeneous sandwich plate W Li, W Liu, R Liang, D Li, M Wang Mechanics of Advanced Materials and Structures, 1-16, 2024 | 2 | 2024 |
Intelligent detection of loose fasteners in railway tracks using distributed acoustic sensing and machine learning C Han, S Wang, A Madan, C Zhao, L Mohanty, Y Fu, W Shen, R Liang, ... Engineering Applications of Artificial Intelligence 134, 108684, 2024 | | 2024 |
A Novel Analytical Method for Coupled In-Plane and Out-of-Plane Vibrations of Sandwich Plates with Arbitrary Boundary Conditions W Li, W Liu, R Liang, D Li International Journal of Structural Stability and Dynamics, 2024 | | 2024 |
Study on the scoping prediction of railway-induced environmental vibration based on transfer learning R Liang, W Liu INTER-NOISE and NOISE-CON Congress and Conference Proceedings 265 (7), 756-763, 2023 | | 2023 |
考虑地层动力特性差异的地铁减振轨道减振效果评价 梁瑞华, 马蒙, 刘卫丰, 杜林林, 李林峰 第 28 届全国结构工程学术会议论文集 (第 Ⅱ 册), 2019 | | 2019 |
基于锤击法的隧道衬砌背后空洞检测试验研究 牛超, 马蒙, 梁瑞华, 熊彦朝, 黄敬淞 2016 中国隧道与地下工程大会 (CTUC) 暨中国土木工程学会隧道及地下工程分会第十 …, 2016 | | 2016 |