Omslagsbillede

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

Guardado en:
Udgivet i:Structural Control and Health Monitoring (Online) vol. 2025, no. 1 (2025)
Hovedforfatter: Xiao, Feng
Andre forfattere: Tian, Geng, Mao, Yuxue, Xiang, Yujiang
Udgivet:
John Wiley & Sons, Inc.
Fag:
Steel bridges
Comparative analysis
Truss bridges
Bridge maintenance
Identification
Stiffness
Separation
Sensors
Effectiveness
Damage detection
Localization
Data compression
Interfaces
Parameter estimation
Steel structures
Environmental
Online adgang:Citation/Abstract
Full Text
Full Text - PDF
Tags: Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!
Resumen: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
Fuente:Engineering Database