Structural health monitoring research under varying temperature condition: a review

The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis

Huang, N. E., Shen, Z., Long, S. R., Wu, M. C., Shih, H. H., Zheng, Q., Yen, N.-C., Tung, C. C., & Liu, H. H. (1998) · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rspa.1998.0193 · Cited by 23,707

Nonlinear principal component analysis using autoassociative neural networks

Kramer, M. A. (1991) · AIChE Journal · doi:10.1002/aic.690370209 · Cited by 3,037

Review Paper: Health Monitoring of Civil Infrastructure

Chang, P. C., Flatau, A. B., & Liu, S. C. (2003) · Structural Health Monitoring · doi:10.1177/1475921703036169 · Cited by 989

Vibration-based structural health monitoring using output-only measurements under changing environment

Deraemaeker, A., Reynders, E. P. B., Roeck, G. D., & Kullaa, J. (2007) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2007.07.004 · Cited by 584

Structural damage diagnosis under varying environmental conditions—Part I: A linear analysis

Yan, A.-M., Kerschen, G., Boe, P. D., & Golinval, J. (2005) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2004.12.002 · Cited by 537

Structural Health Monitoring in mainland China: Review and Future Trends

Ou, J., & Li, H. (2010) · Structural Health Monitoring · doi:10.1177/1475921710365269 · Cited by 531

The Vibration Monitoring Methods and Signal Processing Techniques for Structural Health Monitoring: A Review

Goyal, D., & Pabla, B. S. (2016) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-015-9145-0 · Cited by 508

橋の耐震補強における超弾性銅-アルミニウム-ベリリウム合金線材の低温物理特性

Yunfeng, Z., Camilleri Joseph, A., & Songye, Z. (2008) · Smart Materials and Structures · Cited by 503

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

Das, S., Saha, P., & Patro, S. K. (2016) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-016-0168-5 · Cited by 435

Technology innovation in developing the structural health monitoring system for Guangzhou New TV Tower

Ni, Y., Xia, Y., Liao, W. Y., & Ko, J. M. (2009) · Structural Control and Health Monitoring · doi:10.1002/stc.303 · Cited by 400

Simplified method for estimating restraint moment induced by vertical temperature gradient in continuous prestressed concrete bridges and verification using AASHTO BDS

Elshoura, A., & Okeil, A. M. (2022) · Structure and Infrastructure Engineering · doi:10.1080/15732479.2022.2132518 · Cited by 5

A knowledge foundation and prospect review on thermal response of bridges

Zhu, J., Wang, Z., Zhang, Y., & Wang, Y. (2025) · Advances in Structural Engineering · doi:10.1177/13694332251365970 · Cited by 4

Intelligent e-Maintenance for long-span bridges with preference-based decision making using A3C reinforcement learning

Jing, Q., Zhang, J., Lai, L., & Dong, Y. (2025) · Engineering Structures · doi:10.1016/j.engstruct.2025.121636 · Cited by 4

Temperature-compensated autoencoders with sequences of raw time-domain signals for damage detection and localization in active and passive SHM

Römgens, N., Abbassi, A., Dierksen, N., Grießmann, T., Hofmeister, B., Hübler, C., & Rolfes, R. (2025) · Structural Health Monitoring · doi:10.1177/14759217251386293 · Cited by 4

A multivariate autoencoder-based anomaly detection for post-earthquake diagnosis of masonry structures using long-term accelerometer and ambient temperature recordings

Rai, A., Ierimonti, L., Giglioni, V., Tomassini, E., Ubertini, F., & Venanzi, I. (2025) · Journal of Building Engineering · doi:10.1016/j.jobe.2025.114784 · Cited by 4

Condition Assessment of Railway Bridge Sliding Bearing Using Alternating Vehicle Longitudinal Excitation

Han, N., Zhang, H., Zhao, W., & Zhou, L. (2022) · KSCE Journal of Civil Engineering · doi:10.1007/s12205-022-0318-8 · Cited by 4

Neutral Axis-Based Anomaly Detection for Local Damage to Girders Affected by Nonlinear Temperature Gradients

Wu, G., Zhang, B., Li, S., Yi, T., Mei, X.-D., & Wang, Y. (2024) · Journal of Bridge Engineering · doi:10.1061/jbenf2.beeng-6469 · Cited by 4

CBLA: Empowering Virtual Sensor Nodes with Zero Deployment Costs for SHM Systems

Wang, Y., Lei, K., Zhang, C., Wang, X., Shi, X., & Deng, A. (2024) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn60899.2024.10650833 · Cited by 4

Temperature-dependent modal analysis of the InSight lander on Mars

Zhang, L., Gao, F., Zai, L., Cao, P., & Zhang, J. (2022) · Geophysics · doi:10.1190/geo2022-0272.1 · Cited by 4

Modeling and Design of Integrated 3-D Vector FBG Accelerometer With High Sensitivity

Liu, Q., Yan, C., Liu, B., Yang, D., & Gao, H. (2025) · IEEE Sensors Journal · doi:10.1109/jsen.2025.3529743 · Cited by 3

An efficient Expectation-Maximization algorithm for Bayesian operational modal analysis with physics-data fusion model

Wu, S.-H., Zhu, Y., Pan, Z.-H., & Di, H. (2025) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2025.113144 · Cited by 3

Log-ratio type estimation for the finite population mean under simple random sampling without replacement with theory, simulation and application

Shakoor, F., Atif, M., Ali, H., Alshammari, A. O., Himmat, B., & Kefi, K. (2025) · Scientific Reports · doi:10.1038/s41598-025-29127-7 · Cited by 3

The effects of the environmental conditions on the modal frequencies, damping ratios and curvatures of a 50-story skyscraper

Aihemaiti, A., Todorovska, M. I., Trifunac, M. D., Cruz, L., Lin, G., & Cui, J. (2025) · Soil Dynamics and Earthquake Engineering · doi:10.1016/j.soildyn.2025.109801 · Cited by 3

A three-year project on Structural Health Monitoring of railway bridges: main results and lessons learnt

Benedetti, L., Argentino, A., Bernardini, L., Radicioni, L., Bono, F. M., Somaschini, C., Cazzulani, G., & Belloli, M. (2024) · e-Journal of Nondestructive Testing · doi:10.58286/29796 · Cited by 3

Bayesian mixture of factor analyzers for structural damage detection under varying environmental conditions

Li, B., Zhang, Y., Liao, Z., & Xue, Z. (2025) · Journal of Infrastructure Intelligence and Resilience · doi:10.1016/j.iintel.2025.100140 · Cited by 3

Enhancing beam structural damage detection using spectral moment values and spectral moment cumulative function models

Nguyen, T. Q., Nguyen, P. T.-M., & Nguyen, P. T.-M. (2025) · Journal of low frequency noise, vibration and active control · doi:10.1177/14613484251324390 · Cited by 3

Enhancing Data Collection Time Intervals and Modeling the Structural Behavior of Bridges in Response to Temperature Variations

Rădulescu, A. T., Rădulescu, G. M. T., Naș, S. M., Rădulescu, M., & Rădulescu, C. (2025) · Buildings · doi:10.3390/buildings15030418 · Cited by 4

Signal Separation of Simulated and Monitored Deflections Based on a Hybrid Bridge System Using the EEMD-GSA-LSSVM Approach

Li, C., Yang, L., & Peng, W. (2025) · Journal of Bridge Engineering · doi:10.1061/jbenf2.beeng-7128 · Cited by 3

Research on Mode Superposition Damage Imaging Method for Isotropic Materials

Fei, Y., Wang, Z., Ai, Z. H. O. U., & Li, B. (2021) · Symposium on Piezoelectricity, Acoustic Waves and Device Applications · doi:10.1109/spawda51471.2021.9445501 · Cited by 3

Analysis of the hysteresis effect between temperature and bearing displacement of a steel truss bridge

Yang, X. S., Jin, W., & Zhou, Y. (2025) · Advances in Structural Engineering · doi:10.1177/13694332251365968 · Cited by 2

A hybrid enhanced snake optimizer–SQP framework for robust structural damage identification via model updating

Zhang, S., Su, X., Ni, P., & Fu, J. (2026) · Structures · doi:10.1016/j.istruc.2026.112353 · Cited by 2

Rail–Viaduct Interaction on India’s First Continuously Welded Rail: An Experimental Study

Saxena, N., & Chaudhuri, S. R. (2025) · Journal of Bridge Engineering · doi:10.1061/jbenf2.beeng-7647 · Cited by 2

Thermal feature subspace based deep learning framework for bridge girder-end displacement reconstruction

Xu, M., Qu, G., Sun, L., Li, B., Xia, Y., Yan, Y., Han, J., & Du, Y. (2025) · Case Studies in Thermal Engineering · doi:10.1016/j.csite.2025.107480 · Cited by 2

Spaceborne-InSAR monitoring framework for large-span spatial structures based on temperature-based structural identification theory

Zhou, Y., Zhu, S., Zhou, X., Zhu, Z., & Yi, F. (2026) · Engineering Structures · doi:10.1016/j.engstruct.2026.122573 · Cited by 2

Transfer Learning-Enhanced Residual Attention Temporal Network for Structural Damage Identification

Wang, X., Shahzad, M. M., Wei, Z., Yang, S., & Wang, T. (2026) · Buildings · doi:10.3390/buildings16142779 · Cited by 3

Detection and Location of Steel Structure Trestle Surface Cracks Based on Consumer-grade Camera System

Xiong, C., Lian, S., & Chen, W. (2023) · KSCE Journal of Civil Engineering · doi:10.1007/s12205-023-0522-1 · Cited by 2

Pioneering Remote Sensing in Structural Health Monitoring

Entezami, A., Behkamal, B., & Michele, C. D. (2024) · SpringerBriefs in applied sciences and technology · doi:10.1007/978-3-031-53995-4_1 · Cited by 2

An unsupervised context-free forecasting method for structural health monitoring by generative adversarial networks with progressive growing and self-attention

Gao, S., Zou, Z., Zhou, Z., Wan, C., Xie, L., & Xue, S. (2024) · Structural Health Monitoring · doi:10.1177/14759217241269702 · Cited by 2

Temperature history reconstruction in steel box girders using limited data and proper orthogonal decomposition-based dimension reduction representation

Hao, J., Lu, H., Cao, H., & Zhou, Y. (2024) · Measurement · doi:10.1016/j.measurement.2024.115545 · Cited by 2

Estimation of long-term variation patterns in the modal properties of a skyscraper under environmental effects

Li, F., Xie, Z., Yu, X., & Shi, B. (2025) · Engineering Structures · doi:10.1016/j.engstruct.2025.120451 · Cited by 2

Data‐Driven Models for Prediction of the Modal Frequencies Drift and Fluctuations as Function of the Environmental Conditions for a 50‐Story Skyscraper in a Seismic Region

Aihemaiti, A., Todorovska, M. I., Trifunac, M. D., Cruz, L., Lin, G., & Cui, J. (2025) · Earthquake Engineering & Structural Dynamics · doi:10.1002/eqe.4377 · Cited by 2

Damage Diagnosis of Single-Layer Latticed Shell Based on Temperature-Induced Strain under Bayesian Framework

Xu, J., Zhao, Z., Ma, Q., Liu, M., & Lacidogna, G. (2022) · Sensors · doi:10.3390/s22114251 · Cited by 2

Confounder-adjusted Covariances of System Outputs and Applications to Structural Health Monitoring

Neumann, L., Wittenberg, P., Mendler, A., & Gertheiss, J. (2024) · arXiv · doi:10.48550/arxiv.2409.17735 · Cited by 25

Variability in parameter estimation for a tall steel‐frame building

Rahmani, M., Barjani, A., & Todorovska, M. I. (2023) · Earthquake Spectra · doi:10.1177/87552930231195370 · Cited by 1

Regression Tree Ensemble to Forecast Thermally Induced Responses of Long-Span Bridges

Entezami, A., Behkamal, B., Michele, C. D., & Mariani, S. (2023) · International Electronic Conference on Sensors and Applications (ECSA) · doi:10.3390/ecsa-10-16030 · Cited by 1

Assessing Seasonal and Diurnal Thermal Dynamics of Water Channel and Highway Bridges Using Unmanned Aerial Vehicle Thermography

Memduhoğlu, A., & Polat, N. (2025) · Drones · doi:10.3390/drones9030205 · Cited by 1

Short-Term Health Monitoring and Damage Assessment of a Concrete Cable-Stayed Bridge by an Integrated Unsupervised Learning Approach

Sarmadi, H., & Entezami, A. (2025) · Springer tracts in civil engineering · doi:10.1007/978-981-97-8975-7_6 · Cited by 1

Analytical investigation on resolution calculation method for nonlinear temperature load of steel-concrete composite girders

Zhang, C., Wu, W., & Wei, X. H. (2025) · Frontiers in Materials · doi:10.3389/fmats.2025.1573601 · Cited by 1

Wave-Screening Methods for Prestress-Loss Assessment of a Large-Scale Post-Tensioned Concrete Bridge Model Under Outdoor Conditions

Liao, C.-M., Bernauer, F., Niederleithinger, E., Igel, H., & Hadziioannou, C. (2025) · Applied Sciences · doi:10.3390/app15116005 · Cited by 1

Data Driven Structural Health Monitoring System: Leveraging Mechanics-Based Thresholds

Rabi, R. R., & Monti, G. (2025) · Lecture notes in civil engineering · doi:10.1007/978-981-96-4698-2_128 · Cited by 1

Eliminating environmental temperature and humidity effects on the frequencies of bridges based on co-integration analysis

Yang, S., Zou, Z., Liu, B. H., & Song, B. (2025) · Advances in Structural Engineering · doi:10.1177/13694332251353609 · Cited by 1

Improvements in forecasting and normalizing limited displacement responses of long-span steel bridges subjected to seasonal temperature variability

Entezami, A., Behkamal, B., Michele, C. D., & Mariani, S. (2025) · Structure and Infrastructure Engineering · doi:10.1080/15732479.2025.2531397 · Cited by 1

Multivariate Long-Term Profile Monitoring with Application to the KW51 Railway Bridge

Wittenberg, P., Mendler, A., Knoth, S., & Gertheiss, J. (2025) · Lecture notes in civil engineering · doi:10.1007/978-3-031-96114-4_48 · Cited by 1

Comparative Study for Temperature Gradient Effects in Steel-Concrete Composite Girders

Modi, M. A., & Patel, K. A. (2025) · Lecture notes in civil engineering · doi:10.1007/978-981-96-8834-0_11 · Cited by 1

A Markov Chain–Based Method for Crack Propagation Prediction of Welded Joints in Steel Bridges: Experimental Verification and Engineering Application

Hang, D., Ye, X., Su, Y., & Ding, Y. (2025) · Fatigue & Fracture of Engineering Materials & Structures · doi:10.1111/ffe.70113 · Cited by 1

Residual convolutional auto-encoder and multi-feature fusion for unsupervised structural damage localization under environmental variability

Ma, Q., Li, Y., Xu, J., Liu, M., Chen, X., & Gao, X. (2025) · Journal of Building Engineering · doi:10.1016/j.jobe.2025.115031 · Cited by 1

A Two‐Stage GAF‐CNN Anomaly Detection and Conditional Residual Transformer Data Imputation Method for Crack‐Width Monitoring Data

Fan, C., Ding, Y., & Yang, K. (2026) · Structural Control and Health Monitoring · doi:10.1155/stc/1023489 · Cited by 1

Damage detection in a single-span prestressed concrete girder bridge under environmental variations using Gaussian process regression validated by physics-guided surrogate modeling

Ahmad, H., & Matsumoto, Y. (2026) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-026-01090-5 · Cited by 1

High-Resolution Distributed Optical Fiber Sensor for Multiparameter Sensing, Local Inhomogeneity Detection, and Poisson’s Ratio Estimation in Concrete Structures

Macedo, L. G. C., de Andrade, E. H. A., Frizera, A., Nedoma, J., Martínek, R., Pilar, R., Dias, J., & Junior, A. G. L. (2026) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2026.3720800 · Cited by 1

Final Setting Judgment and Safety Evaluation of Mass Concrete Based on Strain Monitoring

Xu, J., Liu, C., Lu, Z., & Ma, Q. (2023) · Applied Sciences · doi:10.3390/app13042283 · Cited by 1

Damage Detection of Structures Considering Environmental Variations Based on the Deviation Patterns of Natural Frequencies

Maldar, M., & Aval, S. B. B. (2023) · Journal of Infrastructure Systems · doi:10.1061/jitse4.iseng-2139 · Cited by 1

Modal identification of non‐classically damped structures using generalized sparse component analysis

Yao, X., Yi, T., Qu, C., & Li, H. (2024) · The Structural Design of Tall and Special Buildings · doi:10.1002/tal.2101 · Cited by 1

Temperature-based damage detection for the commissioning dataset of the MX3D Bridge

Glashier, T., Kromanis, R., & Buchanan, C. (2024) · e-Journal of Nondestructive Testing · doi:10.58286/29866 · Cited by 1

Time‐domain analysis of signal morphology and features as suitable surrogates for structural monitoring

Nichani, K., Uhlig, S., Martin, V. S., Jaelani, Y., Frost, K., Beering, C., Hettwer, K., Knoth, S., & Keßler, S. (2025) · Structural Concrete · doi:10.1002/suco.70315 · Cited by 1

Analysis of three-dimensional temperature distribution characteristics and temperature-induced frequency variation for continuous rigid frame bridges

Zhang, J., Huang, M., An, Y., & Zhu, H. (2025) · Advances in Structural Engineering · doi:10.1177/13694332251359334 · Cited by 1

Change-point detection for density sequence extracted from SHM data, with application to distributional information break diagnosis encountered in structural condition assessmentPreprint

Lei, X., Chen, Z., Li, H., & Wei, S. (2021) · arXiv (Cornell University)

Development of Accurate Bridge Structure Strain Response Function Due to Temperature Changes Effect

El-Diasty, M., AlMazrouai, M., & Kaloop, M. R. (2023) · Proceedings of the International Conference on Civil, Structural and Transportation Engineering · doi:10.11159/iccste23.164

Research on f-k Domain Modal Separation Method for Guided Wave Array Non-destructive Testing

Wang, Z., Cui, H., Fei, Y., Li, B., Güemes, A., & Fernández-López, A. (2023) · Lecture notes in mechanical engineering · doi:10.1007/978-3-031-44282-7_5

SHM-Based Temperature Gradient Study for Steel-Concrete Composite BridgesPreprint

Zhai, M., & Ma, N. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4653076

Spectral Jump Anomaly Detection: A Temperature-Compensated Algorithm for Structural Damage Detection Based on Vibration DataPreprint

Mariniello, G., Pastore, T., & Asprone, D. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4727645

Examining Quantiles in Structural Health Monitoring

Vogel, F. (2024) · e-Journal of Nondestructive Testing · doi:10.58286/29664

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

Pellegrini, D., Barontini, A., Mendes, N., & Lourenço, P. B. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4923139

An Innovative Monitoring Strategy of Ancient Temples made of Rigid-Block Structures

Petti, L., Lupo, C., D’Angelo, T., Dallocchio, P., & Guizzetti, D. (2024) · Procedia Structural Integrity · doi:10.1016/j.prostr.2024.09.321

A Narrow-Band Identification Approach for Automated Subspace-Driven Modal Parameter EstimationPreprint

Lydakis, E., Koss, H. H., Brincker, R., & Amador, S. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.5018822

Temperature effect on the natural frequency of the Canton Tower

Wei, B., He, Q., Zhang, Y., & Chen, Z. (2025) · International Conference on Computer Application and Information Security (ICCAIS) · doi:10.1117/12.3062705

Temperature-based structural identification of long-span bridges using InSAR observation and meteorological shared data

Zhou, Y., Xu, X., Hao, G., Wei, Z., Liu, Y., & Yi, F. (2025) · Advances in Structural Engineering · doi:10.1177/13694332251340715

Longitudinal Displacement Reconstruction Method of Suspension Bridge End Considering Multi-Type Data Under Deep Learning Framework

Yang, X., Wu, C., Zhang, Y., Shao, W., Chang, L., Kong, K., & Cheng, Q. (2025) · Buildings · doi:10.3390/buildings15152706

The Influence of Temperature and Solar Irradiation on Natural Frequencies and Strain Mode Shapes: Case Study of a Post-tensioned Concrete Girder Bridge

van de Velde, M., Anastasopoulos, D., Backer, H. D., Reynders, E. P. B., & Lombaert, G. (2025) · Lecture notes in civil engineering · doi:10.1007/978-3-031-96106-9_27

Field monitoring and numerical analysis of thermal behavior of the National Stadium under solar radiation

Xu, W., Zheng, X., Chen, Y., Xu, X., & Shen, Y. (2025) · Journal of Building Engineering · doi:10.1016/j.jobe.2025.114258

Thermally-driven bridge girder-end displacement reconstruction: A feature subspace-based deep learning methodPreprint

Xu, M., Qu, G., Sun, L., Li, B., Xia, Y., Yan, Y., Han, J., & Du, Y. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5606220

Bridge Health Monitoring Under Varying Environmental Conditions Using Conditional Principal Component Analysis

Gertheiss, J., Neumann, L., & Wittenberg, P. (2025) · Lecture notes in civil engineering · doi:10.1007/978-3-031-96106-9_43

Assessment of the feasibility of detecting cracks in the Sayano-Shushenskaya HPP dam based on a detailed analysis of its natural frequencies

Kokovkin, I. V., Seleznev, V. S., Parkhomenko, E. E., & Ukolov, D. A. (2025) · Russian Journal of Seismology · doi:10.35540/2686-7907.2025.4.04

Application of Machine Learning Algorithms in Civil Structural Health Monitoring

Yujian, Q., & Yuhong, W. (2025) · Journal of civil and transportation engineering. · doi:10.62517/jcte.202506303

Multi-frequency passive antenna sensor for detecting bidirectional inclination detection

Yi, Z., Liu, Z., Xie, L., Xia, Z., Li, X., Wu, Y., & Xue, S. (2026) · Sensors and Actuators A Physical · doi:10.1016/j.sna.2026.118467

A Machine Learning Approach for Detecting Crack Patterns of Civil Architectures

Bhushan, S., Singh, A. K., Nasser, M., Sharmila, & Kumar, P. (2025) · International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU) · doi:10.1109/iot-siu65919.2025.11402841

Mechanics-based error analysis and testing parameter design for bridge modal identification under non-uniform vehicle speed

Lu, J., Wang, J., Chen, Y., Yu, J., & Tan, X. (2026) · Mechanics Based Design of Structures and Machines · doi:10.1080/15397734.2026.2636938

Temperature effects on strain retrieval using machine learning: A field study

Li, Z., & Kromanis, R. (2026) · Structures · doi:10.1016/j.istruc.2026.111949

A lightweight SVMD-Mamba thermal drift compensation method for MEMS accelerometers considering long-term thermal accumulation effects

Zhu, P., Wang, J., Han, H., Wang, P., & Bao, W. (2026) · Measurement · doi:10.1016/j.measurement.2026.121723

Data‐Driven Damage Detection on a Temperature‐Varying Turbine Blade Using Multiple Sensor Modalities

Quiroz, M. E., Kuncham, E., Ponnusami, S. A., & Bravo-Haro, M. (2026) · Structural Control and Health Monitoring · doi:10.1155/stc/7943746

Research on the Temperature Field and Bridge Alignment Influence of Long-span High and Low Tower Track Cable-stayed Bridges under Solar Radiation

Li, X., Zhou, M., Huang, X., Ding, P., Chen, X., & Xiong, P. (2026) · Australian Journal of Civil Engineering · doi:10.1080/14488353.2026.2674479

Environmental effect compensation and anomaly detection in an ageing prestressed concrete girder bridge using Gaussian process regression

Ahmad, H., & Matsumoto, Y. (2026) · Structure and Infrastructure Engineering · doi:10.1080/15732479.2026.2678472

Intelligent Bridge Health Diagnosis and Risk Prediction Method Based on Multimodal Data

Bian, C., Wu, H., Kang, M., Sun, M., & Fu, Y. (2026) · Procedia Computer Science · doi:10.1016/j.procs.2026.05.220

Physics-informed reality modeling: Behavior-aware reality capture representation of civil infrastructure

Nuraliyev, S., & Luleci, F. (2026) · Journal of Infrastructure Intelligence and Resilience · doi:10.1016/j.iintel.2026.100229

Unsupervised, Data-Driven Damage Detection in Wind Turbine Structural Components: Validation Across Experimental and Virtual Case StudiesPreprint

Quiroz, M. E., Ponnusami, S. A., & Bravo-Haro, M. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7227926

A Numerical Investigation into Freezing Impacts on Dynamic Behavior of Bridges

Mamaghani, M. O., Entezami, A., & Corigliano, A. (2026) · Structural integrity · doi:10.1007/978-3-032-19748-1_27

Multiphysics surrogate-based model updating of a jacket-supported offshore wind turbine using measured vibration and SCADA data

Partovi-Mehr, N., Haghi, R., Moaveni, B., & Hines, E. M. (2026) · Frontiers in Energy Research · doi:10.3389/fenrg.2026.1847071

Lag-informed thermal response modeling for uncertainty-aware bridge girder-end displacement anomaly detection: A field case study

Xu, M., Qu, G., Sun, L., Xia, Y., Han, J., & Du, Y. (2026) · Case Studies in Thermal Engineering · doi:10.1016/j.csite.2026.108430

Continuous monitoring of the Leaning Tower of Pisa: effects of environmental factors on dynamic structural properties

Vignali, L., Falco, A. D., Maes, K., Reynders, E. P. B., & Squeglia, N. (2026) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-026-01121-1

An explainable digital twin framework for structural health monitoring: decision-level fusion of vibration and image diagnostics using SHAP and Grad-CAM

Kiran, V. K., Tangadagi, R. B., & Manjunatha, M. (2026) · Frontiers in Built Environment · doi:10.3389/fbuil.2026.1954260

VMD-based separation of temperature effects on modal frequencies for airport runway pavements using field monitoring data

Peng, K., Zhao, H., Zeng, M., Guo, M., & Bian, Z. (2026) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-026-01158-2

The influence of varying temperature on measures of bridge health monitoring

Baeßler, M. (2016)

Temperature-based structural health monitoring baseline for long-span bridges

Yarnold, M. T., & Moon, F. (2015) · Engineering Structures · doi:10.1016/j.engstruct.2014.12.042 · Cited by 132

Temperature effect on the structural strains of an ancient Tibetan building based on long-term monitoring data

Bai, X., Yang, N., & Yang, Q. (2018) · Earthquake Engineering and Engineering Vibration · doi:10.1007/s11803-018-0437-x · Cited by 15

A Summary Review and Advantages of Damage Identification Methods under Temperature Variation

Ta, Z. (2014) · Highway Engineering

Research on Temperature Influences in Cable-Stayed Bridges’ Health Monitoring

Yao, C. R., & Li, Y. D. (2012) · Applied Mechanics and Materials · doi:10.4028/www.scientific.net/amm.188.162 · Cited by 2