| Methodologies for predicting natural frequency variation of a suspension bridge I Laory, TN Trinh, IFC Smith, JMW Brownjohn Engineering Structures 80, 211-221, 2014 | 86 | 2014 |
| Evaluating two model-free data interpretation methods for measurements that are influenced by temperature I Laory, TN Trinh, IFC Smith Advanced Engineering Informatics 25 (3), 495-506, 2011 | 81 | 2011 |
| Combined model-free data-interpretation methodologies for damage detection during continuous monitoring of structures I Laory, TN Trinh, D Posenato, IFC Smith Journal of Computing in Civil Engineering 27 (6), 657-666, 2013 | 72 | 2013 |
| A temperature-driven MPCA method for structural anomaly detection Y Zhu, YQ Ni, H Jin, D Inaudi, I Laory Engineering Structures 190, 447-458, 2019 | 62 | 2019 |
| Thermal strain extraction methodologies for bridge structural condition assessment Y Zhu, YQ Ni, A Jesus, J Liu, I Laory Smart Materials and Structures 27 (10), 105051, 2018 | 50 | 2018 |
| Measurement system configuration for damage identification of continuously monitored structures I Laory, NB Hadj Ali, TN Trinh, IFC Smith Journal of Bridge Engineering 17 (6), 857-866, 2012 | 44 | 2012 |
| Bayesian structural identification of a long suspension bridge considering temperature and traffic load effects A Jesus, P Brommer, R Westgate, K Koo, J Brownjohn, I Laory Structural Health Monitoring 18 (4), 1310-1323, 2019 | 38 | 2019 |
| A combined method for instantaneous frequency identification in low frequency structures J Liu, J Zheng, X Wei, W Ren, I Laory Engineering Structures 194, 370-383, 2019 | 29 | 2019 |
| Comprehensive Bayesian structural identification using temperature variation A Jesus, P Brommer, Y Zhu, I Laory Engineering Structures 141, 75-82, 2017 | 25 | 2017 |
| Modular Bayesian damage detection for complex civil infrastructure A Jesus, P Brommer, R Westgate, K Koo, J Brownjohn, I Laory Journal of civil structural health monitoring 9, 201-215, 2019 | 22 | 2019 |
| Temperature variations as loads cases for structural identification I Laory, RJ Westgate, JMW Brownjohn, IFC Smith Proceeding of the of 6th International Conference on Structural Health …, 2013 | 16 | 2013 |
| Deep learning for bridge load capacity estimation in post-disaster and-conflict zones A Pamuncak, W Guo, A Soliman Khaled, I Laory Royal Society open science 6 (12), 190227, 2019 | 10 | 2019 |
| Estimation of structural response using convolutional neural network: Application to the Suramadu bridge AP Pamuncak, MR Salami, A Adha, B Budiono, I Laory Engineering Computations 38 (10), 4047-4065, 2021 | 6 | 2021 |
| Instantaneous frequency extraction in time-varying structures using a maximum gradient method X Wei | 6 | 2018 |
| Automated building classification framework using convolutional neural network A Adha, A Pamuncak, W Qiao, I Laory Cogent Engineering 9 (1), 2065900, 2022 | 5 | 2022 |
| Structural identification through continuous monitoring: data cleansing using temperature variations I Laory, P Kripakaran, IFC Smith Proceedings of the International Conference on Computing in Civil and …, 2010 | 5 | 2010 |
| Thermal effect identification and bridge damage disclosure by using blind source separation method Y Zhu, A Jesus, I Laory, Y REN Structural Health Monitoring, 527-534, 2017 | 4 | 2017 |
| Damage Detection of Concrete Elements Retrofitted With TRM or FRP Jackets: A Comparison Between Equivalent Strengthening Systems EA Tzoura, I Laory, TC Triantafillou, E Choutopoulou, C Kollia, ... 6th workshop on Civil Structural Health Monitoring, 2016 | 3 | 2016 |
| Predicting thermal response for structural health monitoring using blind source separation method. The 8th Workshop in Structural Health Monitoring Y Zhu, A Jesus, I Laory 8th European Workshop on Structural Health Monitoring, 2016 | 3* | 2016 |
| Performance of two model-free data interpretation methods for continuous monitoring of structures under environmental variations I Laory, TN Trinh, IFC Smith Computing in Civil Engineering (2011), 25-32, 2011 | 3 | 2011 |
Ian SmithDirector of the Georg Nemetschek Institute, TU MunichVerified email at tum.de
