Stiffness Separation Method for Damage Identification of Steel Truss Bridge: Exploring Diverse Separation Interfaces
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| Publicado en: | Structural Control and Health Monitoring (Online) vol. 2025, no. 1 (2025) |
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| Otros Autores: | , , |
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John Wiley & Sons, Inc.
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| Acceso en línea: | Citation/Abstract Full Text Full Text - PDF |
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|---|---|---|---|
| 001 | 3271171039 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 1545-2263 | ||
| 024 | 7 | |a 10.1155/stc/1827097 |2 doi | |
| 035 | |a 3271171039 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 239329 |2 nlm | ||
| 100 | 1 | |a Xiao, Feng |u School of Safety Science and Engineering, , Nanjing University of Science and Technology, , Nanjing, , , Jiangsu, China, <url href="http://njust.edu.cn">njust.edu.cn</url> | |
| 245 | 1 | |a Stiffness Separation Method for Damage Identification of Steel Truss Bridge: Exploring Diverse Separation Interfaces | |
| 260 | |b John Wiley & Sons, Inc. |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Effective identification and quantification of bridge damage are critical for ensuring infrastructure safety and longevity. This study introduces a damage identification approach for steel truss bridges based on the stiffness separation method. This method simplifies large‐scale problems by partitioning structures into substructures through separation interfaces. To enhance interface adaptability, the method conducts distinct analyses of nodes and members and a combined analysis involving both. A case study of the New Yellow River Bridge validated the effectiveness of the proposed method. Furthermore, a comparative analysis of the Nelder–Mead (NM) simplex and Interior Point (IP) methods was performed across various damage and separation scenarios. The findings confirm the accuracy and efficiency of the proposed method for damage detection, highlighting its importance for maintaining the safety of large bridge structures. | |
| 653 | |a Steel bridges | ||
| 653 | |a Comparative analysis | ||
| 653 | |a Truss bridges | ||
| 653 | |a Bridge maintenance | ||
| 653 | |a Identification | ||
| 653 | |a Stiffness | ||
| 653 | |a Separation | ||
| 653 | |a Sensors | ||
| 653 | |a Effectiveness | ||
| 653 | |a Damage detection | ||
| 653 | |a Localization | ||
| 653 | |a Data compression | ||
| 653 | |a Interfaces | ||
| 653 | |a Parameter estimation | ||
| 653 | |a Steel structures | ||
| 653 | |a Environmental | ||
| 700 | 1 | |a Tian, Geng |u School of Safety Science and Engineering, , Nanjing University of Science and Technology, , Nanjing, , , Jiangsu, China, <url href="http://njust.edu.cn">njust.edu.cn</url> | |
| 700 | 1 | |a Mao, Yuxue |u School of Safety Science and Engineering, , Nanjing University of Science and Technology, , Nanjing, , , Jiangsu, China, <url href="http://njust.edu.cn">njust.edu.cn</url> | |
| 700 | 1 | |a Xiang, Yujiang |u Mechanical and Aerospace Engineering, , Oklahoma State University, , Stillwater, , , Oklahoma, USA, <url href="http://okstate.edu">okstate.edu</url> | |
| 773 | 0 | |t Structural Control and Health Monitoring (Online) |g vol. 2025, no. 1 (2025) | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3271171039/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3271171039/fulltext/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3271171039/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |