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Structure and Infrastructure Engineering
Maintenance, Management, Life-Cycle Design and Performance
Volume 17, 2021 - Issue 8
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Research Article

Data-driven damage identification technique for steel truss railroad bridges utilizing principal component analysis of strain response

Md Riasat AzimDepartment of Civil & Environmental Engineering, University of Alberta, Edmonton, AB, CanadaView further author information
&
Mustafa GülDepartment of Civil & Environmental Engineering, University of Alberta, Edmonton, AB, CanadaCorrespondence[email protected]
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Pages 1019-1035 | Received 15 Aug 2019, Accepted 23 Mar 2020, Published online: 09 Jul 2020

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Hao Wang, Giorgio Barone & Alister Smith. (2023) Current and future role of data fusion and machine learning in infrastructure health monitoring. Structure and Infrastructure Engineering 0:0, pages 1-30.
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Articles from other publishers (13)

Pei Cao, Shengli Zhang, Zequn Wang & Kai Zhou. (2023) Damage identification using piezoelectric electromechanical Impedance: A brief review from a numerical framework perspective. Structures 50, pages 1906-1921.
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Lijun Liu, Xin Zhang & Ying Lei. (2023) Data-driven identification of structural damage under unknown seismic excitations using the energy integrals of strain signals transformed from transmissibility functions. Journal of Sound and Vibration 546, pages 117490.
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Meisam Gordan, Saeed-Reza Sabbagh-Yazdi, Khaled Ghaedi, David P. Thambiratnam & Zubaidah Ismail. 2022. Applied Methods in Design and Construction of Bridges, Highways and Roads - Theory and Practice. Applied Methods in Design and Construction of Bridges, Highways and Roads - Theory and Practice.
Shaoyi Zhang, Yongliang Wang & Kaiping Yu. (2022) Steady-State Data Baseline Model for Nonstationary Monitoring Data of Urban Girder Bridges. Sustainability 14:19, pages 12134.
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Alexander L. Bowler, Michael P. Pound & Nicholas J. Watson. (2022) A review of ultrasonic sensing and machine learning methods to monitor industrial processes. Ultrasonics 124, pages 106776.
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Shuai Luo, Dehai Song, Kangli Shen, Rui Fang & Wei Wang. (2022) Influence of the Order Exchange of the Node Connection in the Force Analysis of Steel Structures. Frontiers in Materials 9.
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Jibao Shen, Zhike Li, Shuai Luo & Wei Wang. (2022) A Structural Damage Identification Method Based on Arrangement of the Static Force Residual Vector. Frontiers in Materials 9.
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Meisam Gordan, Saeed-Reza Sabbagh-Yazdi, Zubaidah Ismail, Khaled Ghaedi, Páraic Carroll, Daniel McCrum & Bijan Samali. (2022) State-of-the-art review on advancements of data mining in structural health monitoring. Measurement 193, pages 110939.
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Yan Wang, Dong-Hui Yang & Ting-Hua Yi. (2021) Displacement model error-based method for symmetrical cable-stayed bridge performance warning after eliminating variable load effects. Journal of Civil Structural Health Monitoring 12:1, pages 81-99.
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Rafaelle Piazzaroli Finotti, Flávio de Souza Barbosa, Alexandre Abrahão Cury & Roberto Leal Pimentel. (2021) Numerical and Experimental Evaluation of Structural Changes Using Sparse Auto-Encoders and SVM Applied to Dynamic Responses. Applied Sciences 11:24, pages 11965.
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Peng Ren & Zhi Zhou. (2021) Two-Step Approach to Processing Raw Strain Monitoring Data for Damage Detection of Structures under Operational Conditions. Sensors 21:20, pages 6887.
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Georgios I. Dadoulis & George D. Manolis. (2021) Model Bridge Span Traversed by a Heavy Mass: Analysis and Experimental Verification. Infrastructures 6:9, pages 130.
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Md Riasat Azim & Mustafa Gül. (2021) Development of a Novel Damage Detection Framework for Truss Railway Bridges Using Operational Acceleration and Strain Response. Vibration 4:2, pages 422-443.
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