All Stories

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