All Stories

  1. Efficient Bayesian model updating of large-scale bridges based on physics-informed neural networks surrogate model
  2. A latent-representation-centric approach to structural response reconstruction under varying training data using Cauchy–Schwarz variational autoencoders
  3. Bridge surface damage detection with structural context via boundary-aware component segmentation
  4. Multi-task vision image restoration by diffusion model with low-rank adaption for vibration displacement measurement
  5. Enhancing reliability assessment of civil structures based on digital twin modeling subjected to multi-source uncertainties
  6. Data anomaly segmentation for structural health monitoring using denoising diffusion probabilistic models
  7. Percussion-based method for detecting wall tie presence in masonry walls using deep learning technique
  8. Advanced data reconstruction of vibration signals using a Cauchy–Schwarz variational autoencoder with a spatial-auto-temporal thermal consistency model
  9. Deep learning-based motion magnification and frames matching for structural displacement measurement using computer vision
  10. Fast variational Bayesian inference for structural finite element model updating
  11. Smartphone-based vehicle-road contact-point response identification with unknown vehicle parameters
  12. Probabilistic Quantification of Cracks in Fiber‐Reinforced Concrete Beams by Using Bayesian Neural Networks
  13. Interpretable damage sensitive feature extraction for drive-by structural health monitoring using knowledge distillation-based deep learning
  14. Deep learning based data anomaly detection considering data imbalance and extreme loadings
  15. Advancing crack detection with generative AI for structural health monitoring
  16. DIMMC: A 3D vision approach for structural displacement measurement using a moving camera
  17. Measurement uncertainty quantification for computer vision-based structural dynamic displacement monitoring
  18. Structural damage identification based on physics-guided deep learning: applications to large-scale structures
  19. Temperature field characteristics of concrete box girders in rigid-frame bridges based on fine simulation and monitoring
  20. Robust 3D vessel trajectory monitoring with monocular vision based deep learning and surveillance cameras
  21. Structural damage identification using phase space matrix with convolutional neural networks
  22. A review of recent advances in data-driven computer vision methods for structural damage evaluation: algorithms, applications, challenges, and future opportunities
  23. Data augmentation of dynamic responses for structural health monitoring using denoising diffusion probabilistic models
  24. Missing data imputation for structural health monitoring using unsupervised domain adaptation and pretraining techniques
  25. Automatic complex concrete crack detection and quantification based on point clouds and deep learning
  26. Target-free vision method for planar displacement measurement of structures subjected to out-of-plane movement by UAV
  27. Moving beyond 3D digital representation to behavioral digital twins in building, infrastructure, and urban assets
  28. Non-contact vision-based response reconstruction and reinforcement learning guided evolutionary algorithm for substructural condition assessment
  29. Advancements in 3D displacement measurement for civil Structures: A monocular vision approach with moving cameras
  30. Hybrid‐Driven Digital Twin Framework for Time‐Variant Reliability Assessment of Civil Structures
  31. Non‐probabilistic Structural Damage Identification With Uncertainties by Phase Space–Based CNN
  32. Embedded Vision‐Based Sensing System for Noncontact Cable Vibration Monitoring With IoT Technologies
  33. 3D displacement measurement using a single-camera and mesh deformation neural network
  34. Smart structural health monitoring using computer vision and edge computing
  35. Structural damage identification by using physics-guided residual neural networks
  36. Deep learning for automated multiclass surface damage detection in bridge inspections
  37. Physics-guided deep learning based on modal sensitivity for structural damage identification with unseen damage patterns
  38. Systematical vibration data recovery based on novel convolutional self-attention networks
  39. Impact of Rubber Content on Performance of Ultra-High-Performance Rubberised Concrete (UHPRuC)
  40. Out-of-plane full-field vibration displacement measurement with monocular computer vision
  41. Structural Damage Classification of Large-Scale Bridges Using Convolutional Neural Networks and Time Domain Responses
  42. 3DGEN: a framework for generating custom-made synthetic 3D datasets for civil structure health monitoring
  43. Damage identification of steel bridge based on data augmentation and adaptive optimization neural network
  44. Detection of wind turbine blade abnormalities through a deep learning model integrating VAE and neural ODE
  45. Structural damage quantification using long short-term memory (LSTM) auto-encoder and impulse response functions
  46. Reducing false damage detections in guided ultrasonic wave monitoring systems using a denoising autoencoder
  47. Finite Linear Representation of Nonlinear Structural Dynamics Using Phase Space Embedding Coordinate
  48. Baseline-free structural damage detection using PCA- Hilbert transform with limited sensors
  49. Computer vision-based displacement identification and its application to bridge condition assessment under operational conditions
  50. Development and experimental verification of an IoT sensing system for drive-by bridge health monitoring
  51. Mobile crowdsensing framework for drive-by-based dense spatial-resolution bridge mode shape identification
  52. Monocular vision based 3D vibration displacement measurement for civil engineering structures
  53. Damage assessment of segmental concrete beams with different types of joints and prestressed external tendons
  54. A novel transformer-based semantic segmentation framework for structural condition assessment
  55. Multi‐channel response reconstruction using transformer based generative adversarial network
  56. Fully decouple convolutional network for damage detection of rebars in RC beams
  57. Reliability analysis of bridges under different loads using polynomial chaos and subset simulation
  58. Post-earthquake reliability assessment of segmental column structures based on nonlinear model updating
  59. Analysis of ultrasonic nonlinearity for bolt hole crack detection in rail joints by wavelet packet decomposition
  60. Target-free vision-based approach for modal identification of a simply-supported bridge
  61. Structural dynamic response reconstruction using self-attention enhanced generative adversarial networks
  62. Towards next generation design of sustainable, durable, multi-hazard resistant, resilient, and smart civil engineering structures
  63. The application of deep learning in bridge health monitoring: a literature review
  64. Target-free 3D tiny structural vibration measurement based on deep learning and motion magnification
  65. Identification of gradually varying physical parameters based on discrete cosine transform using partial measurements
  66. Output-only complete mode shape identification of bridges using a limited number of sensors
  67. Structural behavior and vibration characteristics of geopolymer composite lightweight sandwich panels for prefabricated buildings
  68. Structural damage detection using low-rank matrix approximation and cointegration analysis
  69. Damage detection of wind turbine blades by Bayesian multivariate cointegration
  70. Structural damage detection via phase space based manifold learning under changing environmental and operational conditions
  71. Structural damage quantification using ensemble‐based extremely randomised trees and impulse response functions
  72. Load-Carrying Capacity Assessment of an Existing Highway Bridge Based on Hybrid Finite-Element Model Updating
  73. Simultaneous identification of structural damage and nonlinear hysteresis parameters by an evolutionary algorithm-based artificial neural network
  74. Real-Time Identification of Time-Varying Cable Force Using an Improved Adaptive Extended Kalman Filter
  75. Structural damage detection by integrating robust PCA and classical PCA for handling environmental variations and imperfect measurement data
  76. Phase space reconstruction and Koopman operator based linearization of nonlinear model for damage detection of nonlinear structures
  77. Time-Varying System Identification of Precast Segmental Columns Subjected to Seismic Excitations
  78. A substructural and wavelet multiresolution approach for identifying time-varying physical parameters by partial measurements
  79. Prestress Force Monitoring and Quantification of Precast Segmental Beams through Neutral Axis Location Identification
  80. Data driven structural damage assessment using phase space embedding and Koopman operator under stochastic excitations
  81. Damage detection in bridges under moving loads based on subspace projection residuals
  82. Computer vision based target-free 3D vibration displacement measurement of structures
  83. Reliability based design optimization of bridges considering bridge-vehicle interaction by Kriging surrogate model
  84. Densely connected convolutional networks for vibration based structural damage identification
  85. Probabilistic model updating via variational Bayesian inference and adaptive Gaussian process modeling
  86. Identification of time-varying nonlinear structural physical parameters by integrated WMA and UKF/UKF-UI
  87. Review of piezoelectric impedance based structural health monitoring: Physics-based and data-driven methods
  88. Improving identifiability of structural damage using higher order responses and phase space technique
  89. Nonlinear structural damage detection using output‐only Volterra series model
  90. Data driven structural dynamic response reconstruction using segment based generative adversarial networks
  91. Fully automated precise operational modal identification
  92. Structural damage detection based on swarm intelligence technique and hybrid objective function
  93. Using deep learning technique for non-model based vibration response reconstruction
  94. Structural damage identification with limited modal measurements and ultra‐sparse Bayesian regression
  95. Enhanced vibration decomposition method based on multisynchrosqueezing transform and analytical mode decomposition
  96. Damage quantification of beam structures using deflection influence line changes and sparse regularization
  97. Failure mechanism of geopolymer composite lightweight sandwich panel under flexural and edgewise compressive loads
  98. Using a single sensor for bridge condition monitoring via moving embedded principal component analysis
  99. Using Deep Learning Technique for Recovering the Lost Measurement Data
  100. Using Novel Time Frequency Analysis Method for Time-Varying System Identification
  101. Damage Identification in Plate Structures Using Sparse Regularization Based Electromechanical Impedance Technique
  102. Development and application of random forest technique for element level structural damage quantification
  103. A modified Artificial Bee Colony algorithm for structural damage identification under varying temperature based on a novel objective function
  104. Modal Identification of damped vibrating systems by iterative smooth orthogonal decomposition method
  105. Defect detection in pipe structures using stochastic resonance of Duffing oscillator and ultrasonic guided waves
  106. Fragility analyses of offshore wind turbines subjected to aerodynamic and sea wave loadings
  107. Non-probabilistic method to consider uncertainties in structural damage identification based on Hybrid Jaya and Tree Seeds Algorithm
  108. High‐resolution time‐frequency representation for instantaneous frequency identification by adaptive Duffing oscillator
  109. Damage Detection in Initially Nonlinear Structures Based on Variational Mode Decomposition
  110. Preface: Recent Research Advances on Structural Health Monitoring of Civil Engineering Structures
  111. Effect of Adding Methylcellulose on Mechanical and Vibration Properties of Geopolymer Paste and Hybrid Fiber-Reinforced Geopolymer Composite
  112. Reliability analysis and design optimization of nonlinear structures
  113. Vibration signal denoising for structural health monitoring by residual convolutional neural networks
  114. Deep residual network framework for structural health monitoring
  115. Dynamic response reconstruction for structural health monitoring using densely connected convolutional networks
  116. Structural damage identification by sparse deep belief network using uncertain and limited data
  117. Bridge condition monitoring using fixed moving principal component analysis
  118. Non-probabilistic method to consider uncertainties in frequency response function for vibration-based damage detection using Artificial Neural Network
  119. Structural Damage Detection with Uncertainties Using a Modified Tree Seeds Algorithm
  120. Stochastic dynamic analysis of marine risers considering fluid-structure interaction and system uncertainties
  121. Improved automated operational modal identification of structures based on clustering
  122. Structural damage identification using improved Jaya algorithm based on sparse regularization and Bayesian inference
  123. Time-varying system identification by enhanced Empirical Wavelet Transform based on Synchroextracting Transform
  124. Multi-scale stochastic dynamic response analysis of offshore risers with lognormal uncertainties
  125. An Improved SSI Approach for Structural Modal Identification
  126. Bridge condition monitoring under moving loads using two sensor measurements
  127. Lost data recovery for structural health monitoring based on convolutional neural networks
  128. Target-free vision-based technique for vibration measurements of structures subjected to out-of-plane movements
  129. Nonlinear hysteretic parameter identification using an improved tree-seed algorithm
  130. Bridge influence line identification based on adaptive B‐spline basis dictionary and sparse regularization
  131. Structural damage identification with uncertain modelling error and measurement noise by clustering based tree seeds algorithm
  132. Sustainable High-Performance Resilient Structures
  133. Using polynomial chaos expansion for uncertainty and sensitivity analysis of bridge structures
  134. Bayesian based nonlinear model updating using instantaneous characteristics of structural dynamic responses
  135. Operational modal identification of structures based on improved empirical wavelet transform
  136. Damage identification in underground tunnel structures with wavelet based residual force vector
  137. Influence of Asphalt Pavement Conditions on Fatigue Damage of Orthotropic Steel Decks: Parametric Analysis
  138. Micro-seismic event detection and location in underground mines by using Convolutional Neural Networks (CNN) and deep learning
  139. In Situ Data Analysis for Condition Assessment of an Existing Prestressed Concrete Bridge
  140. Silo quake response spectrum of iron ore train load out bin
  141. Impedance resonant frequency sensitivity based structural damage identification with sparse regularization: experimental studies
  142. Structural damage identification based on autoencoder neural networks and deep learning
  143. Structural identification and evaluation for SHM applications
  144. Development and application of a deep learning–based sparse autoencoder framework for structural damage identification
  145. Identification of Minor Structural Damage Based on Electromechanical Impedance Sensitivity and Sparse Regularization
  146. Structural Damage Detection Considering Sensor Performance Degradation and Measurement Noise Effect
  147. A Novel Parallel Auto-Encoder Framework for Multi-Scale Data in Civil Structural Health Monitoring
  148. Detection of minor damage in structures with guided wave signals and nonlinear oscillator
  149. Improved decentralized structural identification with output-only measurements
  150. Fatigue reliability evaluation of deck-to-rib welded joints in OSD considering stochastic traffic load and welding residual stress
  151. Time-varying system identification using variational mode decomposition
  152. Stochastic dynamic analysis of marine risers considering Gaussian system uncertainties
  153. Source identification of microseismic events in underground mines with interferometric imaging and cross wavelet transform
  154. Application of deep autoencoder model for structural condition monitoring
  155. Guest Editorial: Recent Advances on Structural Control, Health Monitoring and Applications in Bridge Engineering
  156. Bridge Condition Assessment Under Moving Loads Using Multi-sensor Measurements and Vibration Phase Technology
  157. Structural response recovery based on improved multi-scale principal component analysis considering sensor performance degradation
  158. Structural damage identification based on modified Artificial Bee Colony algorithm using modal data
  159. Damage detection in bridge structures under moving loads with phase trajectory change of multi-type vibration measurements
  160. Damage Identification and Optimal Sensor Placement for Structures under Unknown Traffic-Induced Vibrations
  161. Strain Transfer Analysis of a Clamped Fiber Bragg Grating Sensor
  162. Micro-seismic monitoring in mines based on cross wavelet transform
  163. Multiple Pounding Tuned Mass Damper (MPTMD) control on benchmark tower subjected to earthquake excitations
  164. Piezoelectric impedance based damage detection in truss bridges based on time frequency ARMA model
  165. Health monitoring of joint conditions in steel truss bridges with relative displacement sensors
  166. Stress Influence Line Identification of Long Suspension Bridges Installed with Structural Health Monitoring Systems
  167. A review of recent research advances on structural health monitoring in Western Australia
  168. Substructural interface force identification with limited vibration measurements
  169. Strain Transfer Analysis of Embedded Fiber Bragg Grating Strain Sensor
  170. Damage detection of shear connectors under moving loads with relative displacement measurements
  171. Damage assessment of shear connectors with vibration measurements and power spectral density transmissibility
  172. Structural damage identification with power spectral density transmissibility: numerical and experimental studies
  173. Effect of High Speed Rail Transit and Impact Loads on Ballast Degradation
  174. Development of a relative displacement sensor for structural health monitoring
  175. Substructure damage identification based on wavelet-domain response reconstruction
  176. Dynamic Assessment of Shear Connectors in Composite Bridges with Ambient Vibration Measurements
  177. Parallel Decentralized Damage Detection of a Structure with Subsets of Parameters
  178. DAMAGE DETECTION OF SHEAR CONNECTORS IN BRIDGE STRUCTURES WITH TRANSMISSIBILITY IN FREQUENCY DOMAIN
  179. Structural Health Monitoring‐Oriented Data Mining, Feature Extraction, and Condition Assessment
  180. Improved damage identification in bridge structures subject to moving loads: Numerical and experimental studies
  181. Damage Detection of Shear Connectors Based on Power Spectral Density Transmissibility
  182. Damage Detection of a Substructure Based on Response Reconstruction in Frequency Domain
  183. Substructure damage identification based on response reconstruction in frequency domain and model updating
  184. Damage identification of a target substructure with moving load excitation
  185. Substructural Damage Detection With Incomplete Information of the Structure
  186. A response to the discussion of “Updating the reliability of a concrete bridge structure based on condition assessment with uncertainties”
  187. Structural response reconstruction with transmissibility concept in frequency domain
  188. Substructural Response Reconstruction in Wavelet Domain
  189. Updating the reliability of a concrete bridge structure based on condition assessment with uncertainties