Results 271 to 280 of about 8,161,887 (352)

A Hybrid Deep Learning Model for Enhanced Structural Damage Detection: Integrating ResNet50, GoogLeNet, and Attention Mechanisms. [PDF]

Sensors (Basel)
Singh V, Baral A, Kumar R, Tummala S, Noori M, Yadav SV, Kang S, Zhao W.   +7 more
europepmc   +1 more source

Graph Feature Refinement and Fusion in Transformer for Structural Damage Detection. [PDF]

Sensors (Basel)
Hu T, Ma K, Xiao J.
europepmc   +1 more source

Damage Detection in FRP-Reinforced Concrete Elements. [PDF]

Materials (Basel)
Malla P, Khedmatgozar Dolati SS, Ortiz JD, Mehrabi AB, Mehrabi AB, Nanni A, Ding J.   +6 more
europepmc   +1 more source

Enhancing geotechnical damage detection with deep learning: a convolutional neural network approach. [PDF]

PeerJ Comput Sci
de Araujo TMA, Teixeira CAM, Francês CRL.   +2 more
europepmc   +1 more source

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Review of artificial intelligence-based bridge damage detection

Advances in Mechanical Engineering, 2022
Bridges are often located in harsh environments and are thus extremely susceptible to damage. If the initial damage is not detected in time, it can develop further causing safety hazards.
Yang Zhang, K. Yuen
semanticscholar   +1 more source

Multicategory damage detection and safety assessment of post‐earthquake reinforced concrete structures using deep learning

Comput. Aided Civ. Infrastructure Eng., 2022
Earthquake damage investigation is critical to post‐earthquake structural recovery and reconstruction. In this study, a method of assessing the component failure mode and damage level was established based on object detection and recognition.
D. Zou, Ming Zhang, Zhilin Bai, Tiejun Liu, A. Zhou, Xi Wang, W. Cui, Shaodong Zhang   +7 more
semanticscholar   +1 more source

Towards probabilistic data‐driven damage detection in SHM using sparse Bayesian learning scheme

Structural Control & Health Monitoring, 2022
Despite continuous evolution and development of structural health monitoring (SHM) technology, interpreting a huge amount of sensed data from a sophisticated SHM system to extract useful information about structural health condition remains a challenge ...
Qi‐Ang Wang, Yang Dai, Zhan-guo Ma, Y. Ni, Jia‐Qi Tang, Xiao‐Qi Xu, Zi-yan Wu   +6 more
semanticscholar   +1 more source

Road Damage Detection and Classification with YOLOv7

2022 IEEE International Conference on Big Data (Big Data), 2022
Maintaining the roadway infrastructure is one of the essential factors in enabling a safe, economic, and sustainable transportation system. Manual roadway damage data collection is laborious and unsafe for humans to perform.
Vung V. Pham, D. Nguyen, Christopher Donan   +2 more
semanticscholar   +1 more source

Structural damage detection method based on the complete ensemble empirical mode decomposition with adaptive noise: a model steel truss bridge case study

Structural Health Monitoring, 2021
Signal processing is one of the essential components in vibration-based approaches and damage detection for structural health monitoring. Since signals in the real world are often nonlinear and non-stationary, especially in extended and complex ...
A. Mousavi, Chunwei Zhang, S. Masri, Gholamreza Gholipour   +3 more
semanticscholar   +1 more source

Damage Detection and Damage Detectability— Analysis and Experiments

Journal of Aerospace Engineering, 1997
A technique to identify structural damage in real time using limited instrumentation is presented. Contrast maximization is used to find the excitation forces that create maximum differences in the response of the damaged structure and the analytical response of the undamaged structure. The optimal excitations for the damaged structure are then matched
Vikas Juneja, R. T. Haftka, H. H. Cudney
openaire   +1 more source