Taylor Series Expansion for Statistical Analysis of Existing Concrete Bridge

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F21%3APU143774" target="_blank" >RIV/00216305:26110/21:PU143774 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-030-91877-4_27" target="_blank" >http://dx.doi.org/10.1007/978-3-030-91877-4_27</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-91877-4_27" target="_blank" >10.1007/978-3-030-91877-4_27</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Taylor Series Expansion for Statistical Analysis of Existing Concrete Bridge

Popis výsledku v původním jazyce

The paper is focused on semi-probabilistic assessment of existing prestressed concrete bridge using Taylor series expansion. Probabilistic assessment of existing structures represented by non-linear finite element models is computationally highly demanding and thus semi-probabilistic approach gets a growing attention in a recent decade. In semi-probabilistic approach, design value of resistance is estimated in a simplified way. For estimation of design value, it is crucial to estimate coefficient of variation of structural resistance with limited number of simulations. In this paper, recently proposed Taylor series expansion with adapted differentiation is employed and obtained results are compared to a reference solution obtained by latin hypercube sampling. Practical example is represented by an existing bridge structure failing in bending. It can be seen that results obtained by Taylor series expansion are in good agreement with reference solution but its efficiency is significantly higher. Moreover, it is shown that an accuracy of estimated variance can be easily improved by few additional samples in specific coordinates.

Název v anglickém jazyce

Taylor Series Expansion for Statistical Analysis of Existing Concrete Bridge

Popis výsledku anglicky

The paper is focused on semi-probabilistic assessment of existing prestressed concrete bridge using Taylor series expansion. Probabilistic assessment of existing structures represented by non-linear finite element models is computationally highly demanding and thus semi-probabilistic approach gets a growing attention in a recent decade. In semi-probabilistic approach, design value of resistance is estimated in a simplified way. For estimation of design value, it is crucial to estimate coefficient of variation of structural resistance with limited number of simulations. In this paper, recently proposed Taylor series expansion with adapted differentiation is employed and obtained results are compared to a reference solution obtained by latin hypercube sampling. Practical example is represented by an existing bridge structure failing in bending. It can be seen that results obtained by Taylor series expansion are in good agreement with reference solution but its efficiency is significantly higher. Moreover, it is shown that an accuracy of estimated variance can be easily improved by few additional samples in specific coordinates.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20102 - Construction engineering, Municipal and structural engineering

Projekt

<a href="/cs/project/GA20-01781S" target="_blank" >GA20-01781S: Modelování nejistot při hodnocení spolehlivosti betonových konstrukcí</a><br>

Návaznosti

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

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 1st Conference of the European Association on Quality Control of Bridges and Structures

ISBN

9783030918767

ISSN

2366-2557

e-ISSN

—

Počet stran výsledku

8

Strana od-do

228-235

Název nakladatele

Springer Science and Business Media Deutschland GmbH

Místo vydání

neuveden

Místo konání akce

Padova, Italy

Datum konání akce

29. 8. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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