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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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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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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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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RETRACTED: Simplicial Complex-Enhanced Manifold Embedding of Spatiotemporal Data for Structural Health Monitoring by Nan Xu, Zhiming Zhang, Yongming Liu

“…To address this challenge, this paper proposes a novel, automated structural damage detection technique called <i>Simplicial Complex</i> Enhanced Manifold Embedding (SCEME). …”
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Seismic Performance Assessment of Reinforced Concrete Frame-Shear Wall Structures in Hydropower Plants Based on Material Damage by Changzheng Shi, Lei Hu, He-Gao Wu, Qi-Ling Zhang, Kai Su

“…The case of x HP is provided as an example to illustrate the methodology and discuss the probable nonlinear response and structural damage state. The concrete damage evolution, reinforcement stresses, and drift ratios of the RCF-SW structure are presented, and the engineering limit states and structural damage states are identified. …”
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Electron Beam Irradiation Dose Dependently Damages the Bacillus Spore Coat and Spore Membrane by S. E. Fiester, S. L. Helfinstine, J. C. Redfearn, R. M. Uribe, C. J. Woolverton

“…The present study suggests that EB irradiation of spores in water results in substantial structural damage of the spore coat and inner membrane, and that, along with DNA fragmentation, results in dose-dependent spore inactivation.…”
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Significance of Operating Environment in Condition Monitoring of Large Civil Structures by Sreenivas Alampalli

“…Most studies reported in the literature concentrated on the effect of structural damage on modal parameters without emphasis on reliability of modal parameters. …”
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Histological synovitis and radiographic damage in knee osteoarthritis: insights from a comprehensive analysis of ultrasound-guided synovial biopsies in 161 patients by Maria-Antonietta D’Agostino, Barbara Tolusso, Stefano Alivernini, Marco Gessi, Pietro Rubortone, Enrico De Lorenzis, Dario Bruno, Marco Maria Lizzio, Flavia Leone

“…A moderate positive correlation emerged between KL grades and the proportion of patients with lymphocytes and plasma cells in synovial tissue.Conclusions More severe histological synovitis in patients with non-end-stage knee OA is associated with worse radiographic structural damage. In the advanced stages of structural damage, the likelihood of detecting a lymphoplasmacytic inflammatory infiltrate in the synovial membrane increases. …”
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