Structural health monitoring research under varying temperature condition: a review

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Vibration-based damage detection techniques used for health monitoring of structures: a review

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Review on Vibration-Based Structural Health Monitoring Techniques and Technical Codes

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Nonlinear modeling of temperature-induced bearing displacement of long-span single-pier rigid frame bridge based on DCNN-LSTM

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Bridge health monitoring in environmental variability by new clustering and threshold estimation methods

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Recent vibration-based structural health monitoring on steel bridges: Systematic literature review

Azhar, A. S., Kudus, S. A., Jamadin, A., Mustaffa, N. K., & Sugiura, K. (2023) · Ain Shams Engineering Journal · doi:10.1016/j.asej.2023.102501 · Cited by 79

Detection and Location of Steel Structure Surface Cracks Based on Unmanned Aerial Vehicle Images

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Bridge damage detection using precise vision-based displacement influence lines and weigh-in-motion devices: Experimental validation

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Temperature-induced deflection separation based on bridge deflection data using the TVFEMD-PE-KLD method

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Effectiveness of Vibration-Based Techniques for Damage Localization and Lifetime Prediction in Structural Health Monitoring of Bridges: A Comprehensive Review

Rabi, R. R., Vailati, M., & Monti, G. (2024) · Buildings · doi:10.3390/buildings14041183 · Cited by 54

Long-term structural health monitoring for bridge based on back propagation neural network and long and short-term memory

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Investigation of Temperature Effects into Long-Span Bridges via Hybrid Sensing and Supervised Regression Models

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Machine-Learning Applications in Structural Response Prediction: A Review

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Removal of freezing effects from modal frequencies of civil structures for structural health monitoring

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Partially online damage detection using long-term modal data under severe environmental effects by unsupervised feature selection and local metric learning

Sarmadi, H., Entezami, A., Behkamal, B., & Michele, C. D. (2022) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-022-00596-y · Cited by 42

Field investigation of novel self-sensing asphalt pavement for weigh-in-motion sensing

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Structural damage identification considering uncertainties based on a Jaya algorithm with a local pattern search strategy and L0.5 sparse regularization

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Temperature time-lag effect elimination method of structural deformation monitoring data for cable-stayed bridges

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Applications of artificial intelligence in the AEC industry: a review and future outlook

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Load-Effect Separation of a Large-Span Prestressed Structure Based on an Enhanced EEMD-ICA Methodology

Luo, Y., Fu, W., Wan, H., & Shen, Y. (2021) · Journal of Structural Engineering · doi:10.1061/(asce)st.1943-541x.0003263 · Cited by 32

A deep learning method for heavy vehicle load identification using structural dynamic response

Zhang, C., Zhang, W., Ying, G., Ying, L., Hu, J., & Chen, W. (2024) · Computers & Structures · doi:10.1016/j.compstruc.2024.107341 · Cited by 32

A kernel canonical correlation analysis approach for removing environmental and operational variations for structural damage identification

Huang, J., Yuan, S.-J., Li, D., & Li, H. (2022) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2022.117516 · Cited by 31

Daily and seasonal effects of environmental temperature and humidity on the modal properties of structures

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Investigation on the mapping for temperature-induced responses of a long-span steel truss arch bridge

Zhu, Q., Wang, H., & Spencer, B. F. (2022) · Structure and Infrastructure Engineering · doi:10.1080/15732479.2022.2082494 · Cited by 25

Early Warning Method of Structural Damage Using Localized Frequency Cointegration under Changing Environments

Wang, Z., Yi, T., Yang, D., Zhou, P., & Sun, L. M. (2022) · Journal of Structural Engineering · doi:10.1061/(asce)st.1943-541x.0003480 · Cited by 25

Data-driven decision support system for the safety management of railway bridge networks

Monti, G., Rabi, R. R., Marella, L., & Proietti, S. T. (2025) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2025.111202 · Cited by 24

Temperature gradient models of steel-concrete composite girder based on long-term monitoring data

Zhang, P. J., Wang, C. S., Wu, G. S., & Wang, Y. (2022) · Journal of Constructional Steel Research · doi:10.1016/j.jcsr.2022.107309 · Cited by 24

A Gaussian processes-based approach for damage detection of concrete structure using temperature-induced strain

Fu, W., Sun, B., Wan, H., Luo, Y., & Zhao, W. (2022) · Engineering Structures · doi:10.1016/j.engstruct.2022.114740 · Cited by 24

A novel and robust data anomaly detection framework using LAL-AdaBoost for structural health monitoring

Xu, J., Dang, D.-Z., Ma, Q., Liu, X., & Han, Q. (2022) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-021-00544-2 · Cited by 23

Friction anomaly alarm for bridge sliding bearings under operating environmental conditions

Wu, G., Yi, T., Yang, D., Li, H., & Liu, H. (2022) · Engineering Structures · doi:10.1016/j.engstruct.2022.115481 · Cited by 23

SSBAS-InSAR: A Spatially Constrained Small Baseline Subset InSAR Technique for Refined Time-Series Deformation Monitoring

Yu, Z., Zhang, G., Huang, G., Cheng, C., Zhang, Z., & Zhang, C. (2024) · Remote Sensing · doi:10.3390/rs16183515 · Cited by 22

Numerical and Experimental Evaluation of Structural Changes Using Sparse Auto-Encoders and SVM Applied to Dynamic Responses

Finotti, R. P., Barbosa, F. D. S., Cury, A., & Pimentel, R. L. (2021) · Applied Sciences · doi:10.3390/app112411965 · Cited by 22

Bridge crack detection based on improved single shot multi-box detector

Lu, G., He, X., Wang, Q., Shao, F., Wang, J., & Jiang, Q. (2022) · PLoS ONE · doi:10.1371/journal.pone.0275538 · Cited by 24

Mapping temperature contours for a long-span steel truss arch bridge based on field monitoring data

Zhu, Q., Wang, H., Xu, Z., Spencer, B. F., Mao, J., & Gong, Z.-H. (2021) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-021-00479-8 · Cited by 21

A chaos game Optimization-based model updating technique for structural damage identification under incomplete noisy measurements and temperature variations

Dinh-Cong, D., & Nguyen-Thoi, T. (2023) · Structures · doi:10.1016/j.istruc.2023.01.032 · Cited by 20

Temperature-based measurement interpretation of the MX3D Bridge

Glashier, T., Kromanis, R., & Buchanan, C. (2024) · Engineering Structures · doi:10.1016/j.engstruct.2023.116736 · Cited by 20

Monitoring onsite‐temperature prediction error for condition monitoring of civil infrastructures

Mousavi, M., Gandomi, A. H., Wahab, M. M. A., & Glišić, B. (2022) · Structural Control and Health Monitoring · doi:10.1002/stc.3112 · Cited by 18

Modal Parameters Prediction and Damage Detection of Space Grid Structure under Environmental Effects Using Stacked Ensemble Learning

Han, Q., Ma, Q., Dang, D.-Z., & Xu, J. (2023) · Structural Control and Health Monitoring · doi:10.1155/2023/5687265 · Cited by 19

Thermal load models for the static design of steel-concrete composite girders

Wang, R., Ji, W., Li, X., Peng, K., Peng, C., & Wang, C. (2023) · Structures · doi:10.1016/j.istruc.2023.03.029 · Cited by 18

A Deep Learning-Based Structural Damage Identification Method Integrating CNN-BiLSTM-Attention for Multi-Order Frequency Data Analysis

Pei, X.-Y., Hou, Y., Huang, H.-B., & Zheng, J.-X. (2025) · Buildings · doi:10.3390/buildings15050763 · Cited by 17

Bridge temperature data extraction and recovery based on physics-aided VMD and temporal convolutional network

Huang, L., Xin, J., Jiang, Y., Tang, Q., Zhang, H., Yang, S. X., & Zhou, J. (2025) · Engineering Structures · doi:10.1016/j.engstruct.2025.119967 · Cited by 17

Prediction Model for Long-Term Bridge Bearing Displacement Using Artificial Neural Network and Bayesian Optimization

Asad, A. T., Kim, B., Cho, S., & Sim, S. (2023) · Structural Control and Health Monitoring · doi:10.1155/2023/6664981 · Cited by 17

Challenges in applying vibration-based damage detection to highway bridge structures

Tefera, B., Zekaria, A., & Gebre, A. (2023) · Asian Journal of Civil Engineering · doi:10.1007/s42107-023-00594-5 · Cited by 16

Drive-by damage detection based on the use of CWT and sparse autoencoder applied to steel truss railway bridge

Bernardini, L., Bono, F. M., & Collina, A. (2025) · Advances in Mechanical Engineering · doi:10.1177/16878132251339857 · Cited by 15

Prediction of long-term dynamic responses of a heritage masonry building under thermal effects by automated kernel-based regression modeling

Sarmadi, H., Behkamal, B., & Entezami, A. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-13191-2.00010-9 · Cited by 15

Early Warning for Continuous Rigid Frame Bridges Based on Nonlinear Modeling for Temperature-Induced Deflection

Jiang, L., Yang, H., Liu, W., Ye, Z., Pei, J., Liu, Z., & Fan, J. (2024) · Sensors · doi:10.3390/s24113587 · Cited by 16

A Novel Method of Bridge Deflection Prediction Using Probabilistic Deep Learning and Measured Data

Xiao, X., Wang, Z., Zhang, H., Luo, Y., Chen, F., Deng, Y., Lu, N., & Chen, Y. (2024) · Sensors · doi:10.3390/s24216863 · Cited by 17

A change-point detection method for detecting and locating the abrupt changes in distributions of damage-sensitive features of SHM data, with application to structural condition assessment

Lei, X., Chen, Z., Li, H., & Wei, S. (2022) · Structural Health Monitoring · doi:10.1177/14759217221101320 · Cited by 14

Thermal effect on dynamic characteristics of concrete girder bridges

Wei, X.-C., Zhang, H.-S., & Liu, Y.-F. (2024) · Structures · doi:10.1016/j.istruc.2024.105974 · Cited by 14

A novel generative approach for modal frequency probabilistic prediction under varying environmental condition using incomplete information

Mu, H., Shen, J.-H., Zhao, Z., Liu, H.-T., & Yuen, K. (2021) · Engineering Structures · doi:10.1016/j.engstruct.2021.113571 · Cited by 14

Environmental effects on the experimental modal parameters of masonry buildings: experiences from the Italian Seismic Observatory of Structures (OSS) network

Sivori, D., Merani, M. G. B., Bocchi, F., Spina, D., & Cattari, S. (2024) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-024-00847-0 · Cited by 13

Modal strain monitoring of a post-tensioned concrete girder bridge: Influence of temperature and solar irradiation

van de Velde, M., Anastasopoulos, D., Backer, H. D., Reynders, E. P. B., & Lombaert, G. (2025) · Engineering Structures · doi:10.1016/j.engstruct.2025.119832 · Cited by 13

Wear Detection of Bridge Sliding Bearing Based on Temporal Variation of Thermally Induced Daily Displacement Amplitude

Yang, D., Sun, J.-Z., Yi, T., Li, H., & Liu, H. (2024) · Journal of Bridge Engineering · doi:10.1061/jbenf2.beeng-6622 · Cited by 12

Post-event evaluation of residual capacity of building structures based on seismic monitoring

Wang, L., & Shan, J. (2024) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-024-00803-y · Cited by 12

Early Anomaly Warning of Environment-Induced Bridge Modal Variability through Localized Principal Component Differences

Wang, Z., Yi, T., Yang, D., Li, H., Zhang, G., & Han, J. (2022) · ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering · doi:10.1061/ajrua6.0001269 · Cited by 12

Detecting, localizing, and quantifying damage using two-dimensional sensing sheet: lab test and field application

Kumar, V., Acot, B., Aygun, L. E., Wagner, S., Verma, N., Sturm, J. C., & Glišić, B. (2021) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-021-00498-5 · Cited by 12

Separation of Temperature-Induced Response for Bridge Long-Term Monitoring Data Using Local Outlier Correction and Savitzky–Golay Convolution Smoothing

Zhang, W., Yang, H., Cao, H., Zhang, Y., Zhang, A., Wu, N., & Liu, Z. (2023) · Sensors · doi:10.3390/s23052632 · Cited by 11

An iterative regression-based thermal response prediction methodology for instrumented civil infrastructure

Glashier, T., Kromanis, R., & Buchanan, C. (2024) · Advanced Engineering Informatics · doi:10.1016/j.aei.2023.102347 · Cited by 11

Spectral Jump Anomaly Detection: Temperature-compensated algorithm for structural damage detection using vibration data

Mariniello, G., Pastore, T., & Asprone, D. (2025) · Automation in Construction · doi:10.1016/j.autcon.2025.106031 · Cited by 11

Force evaluation of internal cable of prestressed grids based on field monitoring and hierarchical objective model updating

Xu, J., Xu, L., Ma, Q., & Han, Q. (2023) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-023-00673-w · Cited by 10

Performance evaluation of cable-stayed bridge expansion joints based on Lasso dimensionality reduction and temperature-displacement-correlation model

Xiao, T., Hong, Y., Xu, J., Pu, Q., & Wen, X. (2024) · Advances in Structural Engineering · doi:10.1177/13694332241237583 · Cited by 10

Temperature field prediction of steel-concrete composite decks using TVFEMD-stacking ensemble algorithm

Tan, B., Wang, D., Shi, J., & Zhang, L. (2024) · Journal of Zhejiang University. Science A · doi:10.1631/jzus.a2300441 · Cited by 10

An Improved Gaussian Mixture Model-Based Data Normalization Method for Removing Environmental Effects on Damage Detection of Structures

Pei, X.-Y., Huang, H., & Cao, P. (2025) · Buildings · doi:10.3390/buildings15030359 · Cited by 10

Time-lag effect of thermal displacement and its compensation method for long-span bridges

Zhou, H.-L., Zhou, G.-D., Qiao, Z.-Q., Chen, B., & Hu, J. (2024) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-024-00769-x · Cited by 9

A Bayesian Probabilistic Framework for Building Models for Structural Health Monitoring of Structures Subject to Environmental Variability

Simon, P., Schneider, R., Baeßler, M., & Morgenthal, G. (2024) · Structural Control and Health Monitoring · doi:10.1155/2024/4204316 · Cited by 9

Effect of environmental factors on modal identification of a hydroelectric dam’s hollow-gravity concrete block

A., Y. V. A., Araújo, I. G., Villalba-Morales, J. D., & Aracayo, L. A. S. (2024) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-024-00828-3 · Cited by 10

Systematical vibration data recovery based on novel convolutional self-attention networks

Fan, G., Zhang, D., Hu, M., Li, J., & Hao, H. (2024) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-024-00858-x · Cited by 9

Temperature field characteristics of concrete box girders in rigid-frame bridges based on fine simulation and monitoring

Huang, M., Zhang, J., Li, J., & Zhu, H. (2025) · Case Studies in Thermal Engineering · doi:10.1016/j.csite.2025.106265 · Cited by 9

Symbolic Deep Learning for Structural System Identification

Chen, Z., Liu, Y., & Sun, H. (2022) · Journal of Structural Engineering · doi:10.1061/(asce)st.1943-541x.0003405 · Cited by 9

Performance assessment of railway multispan steel truss bridge bearing by thermal excitation

Han, N., Zhao, W., Zhang, B., Zhang, H., & Zhou, L. (2021) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-021-00532-6 · Cited by 9

Determining and Investigating the Variability of Bridges’ Natural Frequencies with Ground-Based Radar

Michel, C., & Keller, S. (2022) · Applied Sciences · doi:10.3390/app12115354 · Cited by 9

Dynamic Response of Masonry Structures to Temperature Variations: Experimental Investigation of a Brick Masonry Wall

Pellegrini, D., Barontini, A., Mendes, N., & Lourenço, P. B. (2024) · Sensors · doi:10.3390/s24237573 · Cited by 8

Dynamic strain-based monitoring of a historical Vierendeel truss bridge under changing environmental and support conditions

Anastasopoulos, D., & Reynders, E. P. B. (2024) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-024-00888-5 · Cited by 9

Structural damage identification using phase space matrix with convolutional neural networks

Zhong, Y., Li, J., Hao, H., Li, L., & Wang, R. (2025) · Structures · doi:10.1016/j.istruc.2025.108885 · Cited by 8

Data normalization for the continuous monitoring of a steel truss bridge: A case study from the Italian railway line

Argentino, A., Radicioni, L., Bono, F. M., Bernardini, L., Benedetti, L., Cazzulani, G., Somaschini, C., & Belloli, M. (2025) · Journal of Infrastructure Intelligence and Resilience · doi:10.1016/j.iintel.2025.100171 · Cited by 9

Damage identification in cable-stayed bridges based on the redistribution of dead and thermal loads

Aloupis, C., Chajes, M. J., & Shenton, H. W. (2023) · Engineering Structures · doi:10.1016/j.engstruct.2023.115967 · Cited by 8

Damage detection in a RC-masonry tower equipped with a non-conventional TMD using temperature-independent damage sensitive features

Tronci, E. M., Betti, R., & Angelis, M. D. (2023) · Developments in the Built Environment · doi:10.1016/j.dibe.2023.100170 · Cited by 8

Moving-Principal-Component-Analysis-Based Structural Damage Detection for Highway Bridges in Operational Environments

Yuan, Y., Zhu, X., & Li, J. (2024) · Sensors · doi:10.3390/s24020383 · Cited by 8

Data and Knowledge-Driven Bridge Digital Twin Modeling for Smart Operation and Maintenance

Sun, Z., Liang, B., Liu, S., & Liu, Z. (2024) · Applied Sciences · doi:10.3390/app15010231 · Cited by 12

Implementation of a Load Sensitizing Bridge Spherical Bearing Based on Low-Coherent Fiber-Optic Sensors Combined with Neural Network Algorithms

Guo, J., Geng, T., Yan, H., Du, L., Zhang, Z., & Sun, C. (2020) · Sensors · doi:10.3390/s21010037 · Cited by 8

A Reliable Virtual Sensing Architecture With Zero Additional Deployment Costs for SHM Systems

Zhang, C., Lei, K., Shi, X., Wang, Y., Wang, T., Wang, X., Zhou, L., Zhang, C., & Zeng, X. (2024) · IEEE Sensors Journal · doi:10.1109/jsen.2024.3474678 · Cited by 9

Structural characterization of a suspension bridge by mapping the temperature effects on strain response based on neural network models

Miranda, F. N., Mata, J., Santos, J. P., & Romão, X. (2024) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-024-00855-0 · Cited by 7

Characterizing Bridge Thermal Response for Bridge Load Rating and Condition Assessment: A Parametric Study

Marchenko, A., Kromanis, R., & Dorée, A. G. (2024) · Infrastructures · doi:10.3390/infrastructures9020020 · Cited by 7

Correlation analysis of long-span cable-stayed bridge strain response with environmental and operational variations based on feature selection

Xiao, T., Pu, Q., Zhongkui, Z., & Hong, Y. (2024) · Structural Health Monitoring · doi:10.1177/14759217241285746 · Cited by 6

Data Set from Ambient Vibration Monitoring and Static Loading of a Steel Stringer Bridge Subject to Imposed Damage for Structural Health Monitoring and Damage Detection

Whelan, M. J., Gangone, M. V., & Janoyan, K. D. (2025) · Journal of Bridge Engineering · doi:10.1061/jbenf2.beeng-7318 · Cited by 6

A Bayesian modeling framework for model updating considering load variations and its application to structural damage identification

Ping, M., Cen, Y., & Tang, L. (2025) · Applied Mathematical Modelling · doi:10.1016/j.apm.2025.116390 · Cited by 6

Mann–Kendall-Based Concrete Failure Trend Analysis and Its Implementation for Dynamic Building Monitoring

Yang, X., & Han, X. (2022) · Buildings · doi:10.3390/buildings12081165 · Cited by 6

A New Method for Separating Temperature Effect of Bridge Strain Monitoring

Huang, L., Xin, J., Yang, J., Li, S., & Zhou, J. (2023) · KSCE Journal of Civil Engineering · doi:10.1007/s12205-023-0350-3 · Cited by 6

Unsupervised damage assessment under varying ambient temperature based on an adjusted artificial neural network and new multivariate covariance-based distances

Nikdel, A., & Shariatmadar, H. (2024) · Structural Health Monitoring · doi:10.1177/14759217231225402 · Cited by 6

Computer vision-based substructure isolation method for localized damage identification

An, X., Hou, J., Xu, D., & Dong, G. (2024) · Structures · doi:10.1016/j.istruc.2024.107660 · Cited by 6

Temperature-based anomaly diagnosis of truss structure using Markov chain-Monte Carlo method

Xu, J., Liu, M., Ma, Q., & Han, Q. (2022) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-022-00572-6 · Cited by 6

Heat transfer analysis of infrastructures subjected to environmental actions: A finite element solver PAT

Leitão, N. S., & Castilho, E. (2022) · Thermal Science and Engineering Progress · doi:10.1016/j.tsep.2022.101447 · Cited by 6

Nonlinear autoregression-based non-destructive evaluation approach for railway tracks using an ultrasonic fiber bragg grating array

Dang, D.-Z., Wang, Y., & Ni, Y. (2023) · Construction and Building Materials · doi:10.1016/j.conbuildmat.2023.134728 · Cited by 6

Embedded smart sensor dipole antennas for real-time damage assessment, humidity, and temperature monitoring in reinforced and non-reinforced concrete structures

Öztürk, M. (2021) · International Journal of Microwave and Wireless Technologies · doi:10.1017/s1759078721001409 · Cited by 6

Structural damage localization based on wavelet packet analysis under varying environment effects

Ma, Q., Xu, J., Gao, X., & Liu, M. (2025) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-025-00926-w · Cited by 5

Covariate-adjusted functional data analysis for structural health monitoring

Wittenberg, P., Neumann, L., Mendler, A., & Gertheiss, J. (2025) · Data-Centric Engineering · doi:10.1017/dce.2025.18 · Cited by 5

Deflection Prediction of Highway Bridges Using Wireless Sensor Networks and Enhanced iTransformer Model

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