Probabilistic Analysis of Precast Concrete Element

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F19%3A00331783" target="_blank" >RIV/68407700:21110/19:00331783 - isvavai.cz</a>

Výsledek na webu

<a href="http://hdl.handle.net/10467/85927" target="_blank" >http://hdl.handle.net/10467/85927</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Probabilistic Analysis of Precast Concrete Element

Popis výsledku v původním jazyce

Precast concrete pavement technology belongs to construction methods which provide rapid construction and minimal on site work in comparison with cast-in-place concrete pavement technology. Mainly, it is used for repairs and rehabilitation of existing pavements. Nowadays, it is being developed an innovative precast concrete pavement system whose advantages consist in rapid and easy construction and use of recycled material. The presented paper focuses on the probabilistic analysis of a selected precast concrete element developed for a surface course of the system. The analysis was conducted on a computational model of the selected element by using a stochastic method and nonlinear finite element method in order to observe the effect of uncertainties and variations in material properties, load and geometrical imperfection on the element behavior. Namely, it concerns geometrical imperfections, young's modulus of elasticity and reinforcement position. The probabilistic analyzes were evaluated with respect to element deflection, tensile stress in reinforcement, compressive stress in concrete and crack width. The obtained findings will serve for the optimization of the precast concrete element before the pavement test section is going to be constructed.

Název v anglickém jazyce

Probabilistic Analysis of Precast Concrete Element

Popis výsledku anglicky

Precast concrete pavement technology belongs to construction methods which provide rapid construction and minimal on site work in comparison with cast-in-place concrete pavement technology. Mainly, it is used for repairs and rehabilitation of existing pavements. Nowadays, it is being developed an innovative precast concrete pavement system whose advantages consist in rapid and easy construction and use of recycled material. The presented paper focuses on the probabilistic analysis of a selected precast concrete element developed for a surface course of the system. The analysis was conducted on a computational model of the selected element by using a stochastic method and nonlinear finite element method in order to observe the effect of uncertainties and variations in material properties, load and geometrical imperfection on the element behavior. Namely, it concerns geometrical imperfections, young's modulus of elasticity and reinforcement position. The probabilistic analyzes were evaluated with respect to element deflection, tensile stress in reinforcement, compressive stress in concrete and crack width. The obtained findings will serve for the optimization of the precast concrete element before the pavement test section is going to be constructed.

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/TH02010375" target="_blank" >TH02010375: Vývoj prefabrikovaných dílců určených pro výstavbu montovaných letištních drah</a><br>

Návaznosti

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

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

CONCRETE Innovations in Materials, Design and Structures - Proceedings of the fib Symposium 2019

ISBN

978-2-940643-00-4

ISSN

2617-4820

e-ISSN

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Počet stran výsledku

7

Strana od-do

773-779

Název nakladatele

Fédération Internationale du Béton

Místo vydání

Lausanne

Místo konání akce

Krakow

Datum konání akce

27. 5. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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