2022

Adha, Augusta, Pamuncak, Arya Panji, Qiao, Wen and Laory, Irwanda (2022) Automated building classification framework using convolutional neural network. Cogent Engineering, 9 (1). doi:10.1080/23311916.2022.2065900

2021

Pamuncak, Arya Panji, Salami, Mohammad Reza, Adha, Augusta, Budiono, Bambang and Laory, Irwanda (2021) Estimation of structural response using convolutional neural network : application to the Suramadu bridge. Engineering Computations, 38 (10). pp. 4047-4065. doi:10.1108/EC-12-2020-0695

2019

Jesus, André H., Brommer, Peter, Westgate, Robert, Koo, Ki, Brownjohn, James and Laory, Irwanda (2019) Bayesian structural identification of a long suspension bridge considering temperature and traffic load effects. Structural Health Monitoring, 18 (4). pp. 1310-1323. doi:10.1177/1475921718794299

Jesus, André H., Brommer, Peter, Westgate, Robert, Koo, Ki, Brownjohn, James and Laory, Irwanda (2019) Modular Bayesian damage detection for complex civil infrastructure. Journal of Civil Structural Health Monitoring, 9 . pp. 201-215. doi:10.1007/s13349-018-00321-8

2018

Zhu, Yanjie, Ni, Yi-Qing, Jesus, André H., Liu, Jingliang and Laory, Irwanda (2018) Thermal strain extraction methodologies for bridge structural condition assessment. Smart Materials and Structures, 27 (10). 105051. doi:10.1088/1361-665X/aad5fb

Liu, Jingliang, Wei, Xiaojun, Qiu, Renhui, Zheng, Jinyang, Zhu, Yanjie and Laory, Irwanda (2018) Instantaneous frequency extraction in time-varying structures using a maximum gradient method. Smart Structures and Systems, 22 (3). pp. 359-368. doi:10.12989/sss.2018.22.3.359

2017

Jesus, André H., Brommer, Peter, Zhu, Yanjie and Laory, Irwanda (2017) Comprehensive Bayesian structural identification using temperature variation. Engineering Structures, 141 . pp. 75-82. doi:10.1016/j.engstruct.2017.01.060

2014

Laory, Irwanda, Trinh, Thanh N., Smith, Ian F.C. and Brownjohn, James M.W. (2014) Methodologies for predicting natural frequency variation of a suspension bridge. Engineering Structures, Volume 80 . pp. 211-221. doi:10.1016/j.engstruct.2014.09.001