Updating the reliability of existing rc structures in a marine environment incorporating spatial variations

K. Masuda, S. Srivaranun, M. Akiyama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A novel procedure for updating the reliability of existing reinforced concrete (RC) structures in a marine environment by incorporating spatial variations of steel weight loss is proposed. Since the properties of concrete and steel bars are uncertain, it is necessary to deal with the long-term structural performance based on probabilistic concepts and reliability-based methods. In this paper, epistemic uncertainties of material properties are updated using inspection results associated with steel weight loss prediction using Sequential Monte Carlo Simulation (SMCS). Possible distributions of steel weight loss over RC members are generated by a stochastic field method based on simple Kriging and inspection results at several observational points. Effect of the distance from the observational points on the reliability is discussed in an illustrative example.

Original languageEnglish
Title of host publicationEASEC16 - Proceedings of the 16th East Asian-Pacific Conference on Structural Engineering and Construction, 2019
EditorsChien Ming Wang, Sritawat Kitipornchai, Vinh Dao
PublisherSpringer Science and Business Media Deutschland GmbH
Pages1283-1288
Number of pages6
ISBN (Print)9789811580789
DOIs
Publication statusPublished - 2021
Event16th East Asian-Pacific Conference on Structural Engineering and Construction, 2019 - Brisbane, Australia
Duration: 2019 Dec 32019 Dec 6

Publication series

NameLecture Notes in Civil Engineering
Volume101
ISSN (Print)2366-2557
ISSN (Electronic)2366-2565

Conference

Conference16th East Asian-Pacific Conference on Structural Engineering and Construction, 2019
CountryAustralia
CityBrisbane
Period19/12/319/12/6

Keywords

  • RC structure
  • Spatial variability
  • Stochastic field
  • Updating

ASJC Scopus subject areas

  • Civil and Structural Engineering

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