Ensemble Classifiers and Feature-Based Methods for Structural Damage Assessment by Hossein Babajanian Bisheh, Gholamreza Ghodrati Amiri, Ehsan Darvishan

“…In this paper, a new structural damage detection framework is proposed based on vibration analysis and pattern recognition, which consists of two stages: (1) signal processing and feature extraction and (2) damage detection by combining the classification result. …”
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Optimal Filtering Methods to Structural Damage Estimation under Ground Excitation by Chien-Shu Hsieh, Der-Cherng Liaw, Tzu-Hsuan Lin

“…This paper considers the problem of shear building damage estimation subject to earthquake ground excitation using the Kalman filtering approach. The structural damage is assumed to take the form of reduced elemental stiffness. …”
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Alkali Solution Erodes Shale: Influencing Factors and Structural Damage Characteristics by Jiping She, Hao Zhang, Ying Zhong, Yang Yuan, Jiachun You

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Machine learning-based estimation of seismic structural damage via an accessible web application by Vasile Calofir, Mircea-Ștefan Simoiu, Ruben-Iacob Munteanu, Emil Calofir, Sergiu-Stelian Iliescu

“…Trained on 120,000 nonlinear dynamic simulations, DIGITERRA provides accurate structural damage assessments without requiring specialized software or advanced technical expertise. …”
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Experimental Study of an Adaptive Sequential Nonlinear LSE with Unknown Inputs for Structural Damage Tracking by Tengfei Mu, Li Zhou, Jann N. Yang

“…An improved adaptive sequential nonlinear LSE with unknown inputs (ASNLSE-UI) approach was proposed to real-time-track the structural damage when it occurs for structural safety and management after emergency event. …”
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Bridge Structural Damage Identification Technique Based on BPNN and Vehicle-bridge Interaction Analysis by Lingling Li, Yibo Zhang

“…Taken together, the proposed bridge structure damage identification method can achieve high localization accuracy as well as quantitative accuracy. …”
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A Revised Counter-Propagation Network Model Integrating Rough Set for Structural Damage Detection by Shao-Fei Jiang, Chun Fu, Chun-Ming Zhang, Zhao-Qi Wu

“…This paper proposes a revised counter-propagation network (CPN) model by integrating rough set in structural damage detection, applicable for processing redundant and uncertain information as well as assessing structural health states. …”
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Research on concrete structure damage detection based on piezoelectric sensing technology and morphological fractal method by Hanqing Zhong, Liwei Shuai, Dongmin Deng

“…Third, it innovatively constructs an intelligent structural damage recognition model integrating morphological fractal theory and artificial neural network (ANN), and conducts a systematic comparative analysis with the traditional wavelet packet transform (WPT) method, verifying the effectiveness of the proposed MFD-ANN intelligent recognition model in this paper. …”
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Data-driven structural damage monitoring and assessment based on unmanned aerial vehicle images: a survey by Zhuoyue Yang, Yuxin Xu, Hao Song, Kang Yu

“…The collection of image information and the assessment of structural damage based on drones are key technologies for rapidly responding to disasters and providing strategic planning and deployment. …”
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Developing Dynamic Digital Image Correlation Technique to Monitor Structural Damage of Old Buildings under External Excitation by Ming-Hsiang Shih, Wen-Pei Sung

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Enhancing beam structural damage detection using spectral moment values and spectral moment cumulative function models by Thanh Q Nguyen, Thuy T Nguyen, Phuoc T Nguyen

“…Evaluation and identification of structural damage play a crucial role in ensuring the safety and reliability of structures. …”
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Structural Damage Early Warning Method of Quayside Container Crane Based on Fuzzy Entropy Ratio Variation Deviation by Jiahui Liu, Jian Zhao, Dong Zhao, Xianrong Qin

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Structural damage, clogging, collapsing: Analysis of the bridge damage at the rivers Ahr, Inde and Vicht caused by the flood of 2021 by Lisa Burghardt, Elena‐Maria Klopries, Holger Schüttrumpf

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Chondrocyte-specific knockout of Piezo1 and Piezo2 protects against post-traumatic osteoarthritis structural damage and pain in mice by Erica V. Ely, Kristin L. Lenz, Sophie G. Paradi, Seth Ack, Abraham Behrmann, Sarah Dunivan, Lauryn Braxton, Wolfgang Liedtke, Yong Chen, Kelsey H. Collins, Farshid Guilak

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Model updating method for detect and localize structural damage using generalized flexibility matrix and improved grey wolf optimizer algorithm (I-GWO) by Sina Sadraei, Majid Gholhaki, Omid Rezaifar

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Study of Structural Deterioration Behavior of Mining Method Tunnels Under Steel Reinforcement Corrosion by Gang Liu, Xingyu Zhu, Jiayong Yang, Zhiqiang Zhang, Jilin Song, Yuda Yang

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Bridge Damage Identification Using Time-Varying Filtering-Based Empirical Mode Decomposition and Pre-Trained Convolutional Neural Networks by Shenghuan Zeng, Jian Cui, Ding Luo, Naiwei Lu

Subjects: “…structural damage identification…”
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Structural Parameter Identification Using Multi-Objective Modified Directional Bat Algorithm by LIU Li-jun, LIN Ying-hai, SU Yong-hui, LEI Ying

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The Impact of Endoscopic Linear Stapling Device Stability in Thoracic Surgery: A Delphi Panel Approach by Daniel Miller, Diego Gonzalez Rivas, Kellie L. Meyer, Ryan S. Clark, Tadasu Kohno

“…Panelists unanimously agreed that: 1) an endoscopic linear stapling device with improved stability would result in less stress/concern for critical firings, surgeries where a fellow is trained, and robot-assisted surgeries requiring an assistant; 2) reduced unintentional tissue/structure damage and reduced tension on tissue being fired upon may result from use of an endoscopic linear stapling device that provides improvement in stability; and 3) endoscopic linear stapling device stability had more clinical importance in video-assisted thoracic surgery compared to open thoracic surgery…”
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Deformation Study of Strongly Structured Clays Considering Damage Effects by Yansong Shi, Bin Tang, Yinchuan Wang, Yanhua Xie

“…One-dimensional compression tests were performed to examine the relationship between soil deformation parameters and overburden pressure, alongside an analysis of the deformation process and pore structure damage in the highly structured clay. A fitting process using Origin software was utilized to develop a deformation modulus calculation model that accounted for disturbance and damage effects, aiming to enhance the accuracy of foundation settlement predictions. …”
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