All Stories

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