Journal of Civil Structural Health Monitoring

Papers
(The TQCC of Journal of Civil Structural Health Monitoring is 10. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-01-01 to 2026-01-01.)
ArticleCitations
Development and implementation of medium-fidelity physics-based model for hybrid digital twin-based damage identification of piping structures75
GNSS time-synchronised wireless vision sensor network for structural health monitoring68
Dynamic characteristics of multi-degree-of-freedom frame systems derived from vision-based displacement measurement using consumer-grade camera video55
Modal analysis of flexible photovoltaic support system using multi-source data51
Study on the dispersion characteristics of the 60D40 turnout rail based on energy distribution45
B-CNN: a deep learning method for accelerometer-based fatigue cracks monitoring system43
Probabilistic damage detection using a new likelihood-free Bayesian inference method37
Dynamic Stacking ensemble monitoring model of dam displacement based on the feature selection with PCA-RF37
An integrated system for tunnel construction safety control based on BIM–IoT–PSO36
Reconstruction of structural acceleration response based on CNN-BiGRU with squeeze-and-excitation under environmental temperature effects35
Prestress force and moving force identification in prestressed concrete bridges via Lagrangian polynomial-based load shape function approach35
Determination of future creep and seismic behaviors of dams using 3D analyses validated by long-term levelling measurements33
In Memoriam33
An automated health monitoring system for uncoordinated deformation between the metro station side wall and row piles32
Development and applications of slope and river monitoring system using low-power wide-area network technology32
A method suitable for tunnel inspection robots to diagnose multi-defects of structures using the extraction of hybrid visual features31
Experimental study on the damage identification of bridge expansion joints30
Spatio-temporal analysis of georeferenced time-series applied to structural monitoring30
Structural damage information amplification methodology based on cluster Mahalanobis distance cumulant and IMFs29
Rapid seismic performance evaluation of existing frame structures using equivalent SDOF modeling and prior dynamic testing29
Bridge damage detection based on principal component analysis and dynamic time warping28
Structural damage identification based on variational mode decomposition–Hilbert transform and CNN28
Variations of natural frequencies of masonry minarets due to environmental effects27
Automated multi-type damage detection framework in reinforced concrete structures via data augmentation and deep segmentation networks27
An improved multi-task approach for SHM missing data reconstruction using attentive neural process and meta-learning26
Multisensor data fusion-based structural health monitoring for buried metallic pipelines under complicated stress states25
Crack width measurement with OFDR distributed fiber optic sensors considering strain redistribution after structure cracking25
Environmental effects on the experimental modal parameters of masonry buildings: experiences from the Italian Seismic Observatory of Structures (OSS) network25
A tunnel structure health monitoring method based on surface strain monitoring25
Data-driven dynamic response forecasting and anomaly detection in long-span bridges25
Automatic detection of delamination on tunnel lining surfaces from laser 3D point cloud data by 3D features and a support vector machine24
Measurement of stress variation in unbonded and semi-bonded prestressing steel strands using the peak time shift of guided ultrasonic waves22
Initial monitoring of a six-story lightweight timber frame building under different environmental conditions22
Retirement of the Editorial Board Member of JCSHM Dr. Toshiyuki Oshima, Professor Emeritus of Kitami Institute of Technology (KIT), Japan22
Explainable machine learning for condition assessment of communication towers22
Enhanced structural health monitoring of ageing Pratt truss bridges: a combined approach of static and dynamic measurements21
Field investigations on distressed highly skewed multi-cell reinforced concrete bridge21
Correction to: Automation in Bayesian operational modal analysis using clustering‑based interpretation of stabilization diagram21
Automated structural integrity assessment of bridges: a hybrid machine learning and feature-based framework21
Long-term deflection monitoring of a heritage, timber truss structure, and development of an integrated emergency alarm program20
Special issue on Distributed and quasi-distributed monitoring of civil infrastructure systems20
Structural assessment of existing R.C. half-joint bridges according to the new Italian guidelines20
Spatial shape identification of long-span suspension bridges using 3d laser scanning technology19
P3P: a software suite for autonomous SHM of bridge networks19
Vibration impact on the platform foundation of Jinan’s historic bell tower induced by road traffic and subway loading19
A comparative machine learning approach for entropy-based damage detection using output-only correlation signal19
A transfer learning SHM strategy for bridges enriched by the use of speaker recognition x-vectors19
Rapid measuring the static flexibility matrix of bridge structures using an indirect method19
Optimal UAV camera position for automated computer vision-based inspection of bolt looseness in steel structures based on 4D BIM19
A real-time multi-defect automatic identification framework for concrete dams via improved YOLOv5 and knowledge distillation19
Computer vision-based video signal fusion using deep learning architectures18
An AIoT system for real-time monitoring and forecasting of railway temperature18
Evolutionary game theory-based finite element model updating of a moveable cable-stayed footbridge18
Self-supervised deep hash image deduplication algorithm for visual inspection of concrete18
Foreword18
An innovative structural health assessment tool for existing precast concrete buildings using deep learning methods and thermal infrared satellite imagery18
Vision-based transmission tower strain monitoring using industrial camera module and slider strain sensing mechanism17
Uncertainty quantification for a deep learning models for image-based crack segmentation17
Nonlinear characteristics of damaged bridges under moving loads using parameter optimization variational mode decomposition17
Innovative technologies for structural health monitoring of SFTs: proposal of combination of infrared thermography with mixed reality17
Application of the artificial neural network and enhanced particle swarm optimization to model updating of structures17
Monitoring and identification of wire breaks in prestressed concrete cylinder pipe based on distributed fiber optic acoustic sensing17
Bayesian and deterministic surrogate-assisted approaches for model updating of historical masonry towers17
Analysis of vibration transmission path and influence range of embankment dam structure under vehicle load17
On the performance of data-driven dynamic models for temperature compensation on bridge monitoring data17
Vision-based identification of cable tensions and finite element model verification of a cable-stayed bridge16
Site-specific traffic modelling and simulation for a major Italian highway based on weigh-in-motion systems accounting for gross vehicle weight limitations16
Understanding of leaning utility poles for visual monitoring of power distribution infrastructure15
Real-time sewer defect detection based on YOLO network, transfer learning, and channel pruning algorithm15
Special issue on Structural health monitoring of intelligent infrastructure: advanced research and real-world applications15
Unsupervised transfer learning for structural health monitoring of urban pedestrian bridges14
Data analysis and dynamic characteristic investigation of large-scale civil structures monitored by RTK-GNSS based on a hybrid filtering algorithm14
Special issue “A compendium of the latest progress in civil SHM with applications”14
Intelligent recognition of ground penetrating radar images in urban road detection: a deep learning approach14
A data enhancement-based quadratic imputation framework for consecutive missing values considering spatiotemporal characteristics of dam deformation14
Experimental investigation of subsurface defect detection in concretes by infrared thermography and convection heat exchange14
Post-event evaluation of residual capacity of building structures based on seismic monitoring14
Interval prediction of bridge expansion joint evolution: based on complex network analysis and fuzzy information granulation14
Monitoring the changes in the dynamic properties of an RC building experiencing column loss14
Non-contact measurement of vibration modes of large cable-stayed bridge under ambient conditions: a convenient way of condition monitoring of bridges14
Mechanical performance assessment of self-anchored suspension footbridge based on integral configuration14
Very high resolution bridge deformation monitoring using UAV-based photogrammetry13
Self-excited hoisting chain tension measurements for dam spillway gates and identification of uneven hoisting13
Research on damage identification of large-span spatial structures based on deep learning13
Use of a roving computer vision system to compare anomaly detection techniques for health monitoring of bridges13
Machine learning approach to transient-based leak detection of pressurized pipelines: Classification vs Regression13
UAV vision detection method for crane surface cracks based on Faster R-CNN and image segmentation13
Feasibility study of bridge load testing using ongoing traffic through rapid estimation of traffic load effects for network-level highway bridges assisted by site-specific ETC data13
Bayesian probabilistic model for reinforcement corrosion ratio of reinforcement in concrete prediction based on modified half-cell potential13
Seepage pressure prediction in earth-rock dams using TVF-EMD-LOF outlier detection and CNN-BiLSTM-SAR integrated model13
Prediction of topside displacement of offshore platforms based on multi-source data fusion with multilayer perceptron neural network13
Computer vision-based dynamic identification of a reinforced concrete elevated water tank13
Field monitoring and prediction of the thermal response of an in-service curved continuous welded rail using distributed fiber optic strain measurements13
Explicit uncertainty propagation in Mahalanobis squared distance for reliable damage detection of bridges using experimental data12
An adaptive identification method for outliers in dam deformation monitoring data based on Bayesian model selection and least trimmed squares estimation12
Class-wise histogram matching-based domain adaptation in deep learning-based bridge element segmentation12
Detection of prestressing wire breaks in post-tensioned concrete structures using distributed fiber optic strain sensing12
Analysis of structural vibration characteristics of embankment dam based on DVMD–VDR12
Performance monitoring of TBM tunnel: a case study of the West Qinling tunnel12
Detecting missing barricades using 3D volume construction and deep learning algorithm for the safe operation on construction sites12
Operational modal analysis of a ten-storey building featuring vertical modes12
Structural damage detection of 3-D truss structure using nodal response analysis12
A seepage prediction method for earth-rock dams integrating surrogate modeling with hysteresis effect functions12
Hinge damage diagnosis of a prefabricated beam bridge using the difference between quasi-static displacement influence lines12
Experimental study on the force-magnetic relationship of steel box girder based on metal magnetic memory12
Non-contact vehicle weight identification method based on explainable machine learning models and computer vision11
A hybrid data-model driven approach for predicting extreme typhoon-induced tower crane responses11
Dynamic monitoring technique of bored pile pouring process based on multi-frequency ultrasound11
Experimental study on structural model failure of cemented material dam11
Defect detection method of underwater bored cast-in-place pile based on optical image in borehole11
Health monitoring of ultra high fiber performance reinforced concrete communication tower using machine learning algorithms11
Experimental and numerical investigation into corrosion-induced mortar/concrete cracking with distributed optical fiber sensors11
A critical review of bridge scour monitoring methods11
Automatic detection of mortar loss on masonry building facades based on deep learning11
A two-step procedure for damage detection in beam structures with incomplete mode shapes11
Efficient and accurate 3D reconstruction in a featureless tunnel environment: a robust LiDAR-Inertial SLAM tightly coupled with wheel odometry11
Defect segmentation and 3D reconstruction in concrete structures using SAM 2 and 3D Gaussian splatting11
Enhancing multi-objective prediction of settlement around foundation pit using explainable machine learning11
Structural response prediction of large-scale foundation pit based on multi-stage clustering and LSTM10
Damage detection combining principal component analysis and deep convolutional neural network with dynamic response from FBG arrays10
Tension-bending coupled fatigue life evaluation of steel wire suspenders of a novel designed main-cable-looped suspension bridge under random traffic flow10
Monitored seismic performance assessment of cable‑stayed bridges during the 2023 Kahramanmaraş earthquakes (M7.7 and M7.6)10
Experimental assessment of the performance of terrestrial laser scanners in monitoring the geometric deformations in retaining walls10
Displacement analysis of point cloud removed ground collapse effect in SMW by CANUPO machine learning algorithm10
Correction: Unsupervised environmental operating condition compensation strategies in a guided ultrasonic wave monitoring system: evaluation and comparison10
Improvement for an optimization algorithm and its application in structural model updating10
Physics-informed neural network-based methodology for joint identification of foundation voids and structural deformations of buried water pipelines10
Damage identification method of long-span spatial structure based on time-series model of measured data10
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