Structural frequency-based maintenance management method for steel truss bridges under atmospheric corrosion

被引:0
|
作者
Saylan, Ali Alper [1 ]
Secer, Mutlu [1 ]
机构
[1] Izmir Katip Celebi Univ, Civil Engn Dept, Izmir, Turkiye
关键词
Atmospheric corrosion; coating; essential maintenance; life cycle cost; preventive maintenance; steel truss bridge; structural frequency; CYCLE COST-ANALYSIS; PERFORMANCE; MODEL; OPTIMIZATION; SELECTION; PROFILES; NETWORKS; SUBJECT;
D O I
10.1080/15732479.2024.2401373
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Deterioration of steel truss bridges due to atmospheric corrosion can result in a degradation of performance that fails to meet basic safety requirements before the structure has fulfilled its design life. In order to prevent unexpected costs and premature structural damages caused by deterioration in steel truss bridges, cost-effective corrosion protection and maintenance strategies are required. In this study, a novel maintenance management method was proposed to keep the structural frequencies of steel truss bridges in between predefined boundaries throughout the service life. To pursue this aim, preventive and essential maintenance techniques were applied to provide appropriate atmospheric corrosion protection to steel truss bridges in a cost-effective way. Different repetitive repainting intervals were used for preventive maintenance, and member replacement alternatives with different ratios of total members were applied for essential maintenance approaches. Moreover, the replacement of members using conventional carbon steel, or A709-50CR was investigated separately. For the illustration of the proposed maintenance management method, a planar and a spatial steel truss bridge were selected from the literature, and maintenance strategies were applied considering two different corrosion classes. Life cycle cost analyses of steel truss bridges were conducted to evaluate different maintenance alternatives. Consequently, a cost-effective maintenance strategy was determined for each steel truss bridge in different corrosion environments.
引用
收藏
页数:16
相关论文
共 35 条
  • [21] Atmospheric corrosion protection method for corroded steel members using sacrificial anode of Al-based alloy
    Yang, Muye
    Kainuma, Shigenobu
    Ishihara, Shuji
    Kaneko, Akira
    Yamauchi, Takao
    CONSTRUCTION AND BUILDING MATERIALS, 2020, 234
  • [22] Micromechanical and microstructural investigation of steel corrosion layers of variable age developed under impressed current method, atmospheric or saline conditions
    Dehoux, A.
    Bouchelaghem, F.
    Berthoud, Y.
    CORROSION SCIENCE, 2015, 97 : 49 - 61
  • [23] Fatigue damage prognosis of steel bridges under traffic loading using a time-based crack growth method
    Yu, Yang
    Kurian, Bianca
    Zhang, Wei
    Cai, C. S.
    Liu, Yongming
    ENGINEERING STRUCTURES, 2021, 237
  • [24] EXPERIMENTAL STUDIES ON DAMAGE LOCATION OF THE LONG-SPAN TRUSS STEEL BRIDGE MODEL BASED ON SDLV METHOD UNDER AMBIENT EXCITATION
    An, Yonghui
    Ou, Jining
    INTERNATIONAL SYMPOSIUM ON LIFE-CYCLE PERFORMANCE OF BRIDGES AND STRUCTURES, 2010, : 189 - 195
  • [25] A novel double-hybrid learning method for modal frequency-based damage assessment of bridge structures under different environmental variation patterns
    Entezami, Alireza
    Sarmadi, Hassan
    Behkamal, Bahareh
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2023, 201
  • [26] Study on corrosion models of structural steel exposed in urban industrial atmospheric and laboratory simulated environments based on the 3D profile
    Wu, Haiying
    Lei, Honggang
    Frank, Chen Y.
    THIN-WALLED STRUCTURES, 2021, 168
  • [27] Suspender Replacement Method for Long-Span Concrete-Filled Steel Tubular Arch Bridges and Cable Force Measurement Based on Frequency Method
    Deng, Yulin
    Deng, Luming
    ADVANCES IN CIVIL ENGINEERING, 2021, 2021
  • [28] Structural damage detection method based on the complete ensemble empirical mode decomposition with adaptive noise: a model steel truss bridge case study
    Mousavi, Asma Alsadat
    Zhang, Chunwei
    Masri, Sami F.
    Gholipour, Gholamreza
    STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2022, 21 (03): : 887 - 912
  • [29] A hybrid deep learning model for predicting atmospheric corrosion in steel energy structures under maritime conditions based on time-series data
    Ben, Mohamed El Amine Seghier
    Truong, Tam T.
    Feiler, Christian
    Hoeche, Daniel
    RESULTS IN ENGINEERING, 2025, 25
  • [30] A numerical model based on finite element method for predicting the corrosion of carbon steel under supercritical CO2 conditions
    Li, Y. Y.
    Zhu, G. Y.
    Hou, B. S.
    Zhang, Q. H.
    Zhang, G. A.
    PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2021, 149 : 866 - 884