PILOT COMPARISON OF SEMI-PROBABILISTIC METHODS APPLIED TO RC STRUCTURES WITH MULTIPLE FAILURE MODES

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F22%3APU146511" target="_blank" >RIV/00216305:26110/22:PU146511 - isvavai.cz</a>

Alternative codes found

RIV/68407700:21610/22:00361310

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

PILOT COMPARISON OF SEMI-PROBABILISTIC METHODS APPLIED TO RC STRUCTURES WITH MULTIPLE FAILURE MODES

Original language description

Non-linear finite element analysis (NLFEA) represents a powerful tool for researchers and engineers. Validated NLFEA provides an advanced approach that should be combined with adequate considerations of variability of material and geometrical parameters to provide a realistic description of complex structural systems. As coupling NLFEA with a fully probabilistic reliability analysis is often highly time-consuming, the engineering practice prefers using simplified semi-probabilistic methods. The key aspect in semi-probabilistic approaches is an estimation of coefficient of variation (ECoV) of structural resistance. In recent years, ECoV methods have been considerably developed, accompanied by some industrial applications. This contribution provides a critical comparison of well-known ECoV methods with the recently proposed modification using the Taylor Series Expansion and its adaptation referred to as Eigen ECoV. Selected fundamental situations, representative for systems including concrete columns, are analysed considering also the standard partial factor method (PFM). The obtained results suggest that the PFM, ECoV and its recent improvement Eigen ECoV may provide slightly conservative or unsafe estimates in the cases with multiple failure modes; the associated errors up to 10% are deemed to be of moderate importance for practice. These errors can be reduced by using the TSE or Latin Hypercube Sampling (LHS). The observed errors are attributed to the failure in identifying the type of the distribution of system resistance and to the errors in estimating the mean value and coefficient of variation of the system resistance. The errors of all methods may increase when a strongly non-lognormal distribution of the system resistance and/ or statistical correlation amongst important basic variables are inadequately considered

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

20102 - Construction engineering, Municipal and structural engineering

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Concrete Innovation for Sustainability Proceedings for the 6th fib International Congress 2022

ISBN

978-2-940643-15-8

ISSN

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e-ISSN

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Number of pages

10

Pages from-to

„“-„“

Publisher name

fib. The International Federation for Structural Concrete

Place of publication

Oslo, Norway

Event location

Oslo

Event date

Jun 12, 2022

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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