A probabilistic framework based on statistical learning theory for structural reliability analysis of transmission line systems-Reference-Cited by-同舟云学术

A probabilistic framework based on statistical learning theory for structural reliability analysis of transmission line systems

Published:2017-03-13 Issue:12 Volume:13 Page:1538-1552
ISSN:1573-2479
Container-title:Structure and Infrastructure Engineering
language:en
Short-container-title:Structure and Infrastructure Engineering

Author:

Rezaei Seyedeh Nasim¹,Chouinard Luc¹,Langlois Sébastien²,Légeron Frédéric²

Affiliation:

1. Department of Civil Engineering and Applied Mechanics, McGill University, Montreal, Canada

2. Département de génie civil, Université de Sherbrooke, Sherbrooke, Canada

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Ocean Engineering,Geotechnical Engineering and Engineering Geology,Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15732479.2017.1299771

Reference52 articles.

1. Dynamic loads on transmission line structures due to galloping conductors

2. Quarterly Journal of the Royal Meteorological Society

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fragility of transmission tower-line system subjected to concurrent wind and ice accretion;Journal of Constructional Steel Research;2024-11

2. A data-driven method for the reliability analysis of a transmission line under wind loads;STEEL COMPOS STRUCT;2024

3. Model uncertainty applied to the failure analysis of transmission towers;Engineering Failure Analysis;2024-04

4. Multi-hazard assessment of transmission line systems subjected to independent non-concurrent turbulent winds and ground accelerations;Structural Safety;2023-11

5. Wind fragility assessment and sensitivity analysis for a transmission tower-line system;Journal of Wind Engineering and Industrial Aerodynamics;2022-12