Adjustment method of bridge seismic importance factor based on bridge network connectivity reliability

Lian, Qiang; Zhang, Penghui; Li, Huaifeng; Yuan, Wancheng; Dang, Xiaohong

doi:10.1016/j.istruc.2021.03.113

Cited by 7 publications

(1 citation statement)

References 24 publications

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“…This paper perused the short-span bridge construction with the sustainability elements. Lian et al, (2021) analyzed the adjustment of the connectivity nature of the bridge, and investigated the reliability in this concept.…”

Section: Introductionmentioning

confidence: 99%

An integrated soft computing-based criteria interdependencies and intuitionistic fuzzy information to evaluate the urban concrete bridge maintenance models

Ahmad

Adlparvar

Shahbazi

2022

Preprint

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Given the advances in technology and the development of urban development and progress in people's lifestyles, the use of bridges is considered as an important and necessary way of esophageal communication. Bridges are one of the most important tools for connecting roads and different cities, which connect different areas and create connections between people. One of the most important and necessary measures in the bridge industry is related to the repair and maintenance of bridges, which cost less than building a bridge and help to create connections between people. To this end, the present study examines the effects affecting the maintenance and repair of bridges in urban contexts and for this issue an approach under conditions of intuitive fuzzy uncertainty based on analytic network process and comprise solution methods to calculate weights and option ranking offers. Finally, in order to validate the proposed method, a case study is used along with a comparison of the proposed method and existing methods in the literature. The final results indicate the strength and efficiency of the proposed method in calculating weights and ranking options for the project of maintenance and repair of urban bridges in Rasht.

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Section: Introductionmentioning

confidence: 99%