Obálka

Stiffness Separation Method for Damage Identification of Steel Truss Bridge: Exploring Diverse Separation Interfaces

Uloženo v:
Vydáno v:Structural Control and Health Monitoring (Online) vol. 2025, no. 1 (2025)
Hlavní autor: Xiao, Feng
Další autoři: Tian, Geng, Mao, Yuxue, Xiang, Yujiang
Vydáno:
John Wiley & Sons, Inc.
Témata:
Steel bridges
Comparative analysis
Truss bridges
Bridge maintenance
Identification
Stiffness
Separation
Sensors
Effectiveness
Damage detection
Localization
Data compression
Interfaces
Parameter estimation
Steel structures
Environmental
On-line přístup:Citation/Abstract
Full Text
Full Text - PDF
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstrakt: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.
ISSN:1545-2263
DOI:10.1155/stc/1827097
Zdroj:Engineering Database