@inproceedings{dec2ed7984f14c6eaff9743a493d9fb2,
title = "Effect of different steel weight loss distributions on the life-cycle reliability of PC girders",
abstract = "In this paper, the time-dependent reliability of PC girders in a marine environment is estimated considering the spatial variability of steel weight loss. Non-linear finite element (FE) analysis of aging PC girders is performed. Spatial variation of steel weight loss represented by uniform, Gaussian and non-Gaussian stochastic fields is included in the FE modelling. To obtain the relationship between input parameters and computational results from FE analysis, the response surface method is used for reducing the time required to repeat the structural analysis. The life-cycle reliability outcomes associated with three different models for the steel weight loss distribution are compared and discussed in an illustrative example. The authors would like to acknowledge Mr. Vasileios Christou for his help during the development of the random simulation algorithm.",
author = "N. Nishiya and H. Fukushima and A. Sakurai and M. Akiyama and P. Bocchini and Frangopol, {D. M.}",
note = "Publisher Copyright: {\textcopyright} 2018 Taylor & Francis Group, London. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 9th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2018 ; Conference date: 09-07-2018 Through 13-07-2018",
year = "2018",
language = "English",
isbn = "9781138730458",
series = "Maintenance, Safety, Risk, Management and Life-Cycle Performance of Bridges - Proceedings of the 9th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2018",
publisher = "CRC Press/Balkema",
pages = "1001--1006",
editor = "Nigel Powers and Frangopol, {Dan M.} and Riadh Al-Mahaidi and Colin Caprani",
booktitle = "Maintenance, Safety, Risk, Management and Life-Cycle Performance of Bridges - Proceedings of the 9th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2018",
}