Statistical Estimate of Uniaxial Compressive Strength of Rock Based on Shore Hardness

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F17%3APU124584" target="_blank" >RIV/00216305:26110/17:PU124584 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.sciencedirect.com/science/article/pii/S1877705817323184" target="_blank" >http://www.sciencedirect.com/science/article/pii/S1877705817323184</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.proeng.2017.05.178" target="_blank" >10.1016/j.proeng.2017.05.178</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Statistical Estimate of Uniaxial Compressive Strength of Rock Based on Shore Hardness

Popis výsledku v původním jazyce

The paper presents the use of advanced stochastic simulation techniques for estimating the strength behavior of rock materials. The Shore Rebound hardness was measured on fifty rock specimens coming from eleven different geological localities in Czech Republic. The dry unit weight of every tested rock material was determined also. Uniaxial compressive strength of rock was evaluated then by conducting the compression test on every specimen. Empirical distribution of Shore hardness and dry unit weight variables obtained from laboratory tests was approximated by the best fitted theoretical probability distribution. The stochastic simulation using Latin Hypercube Sampling was conducted based on those distributions. Two different equations used for estimating the compressive strength of rock on the basis of Shore hardness in practice was used as model functions. Comparison and statistical evaluation of uniaxial compressive strength of rock determined by compression test and those obtained as a result of stochastic simulation is discussed. The description of probability distribution of uniaxial strength is obtained as a result of introduced analysis, which can be used as input for fully probabilistic design models of rock materials.

Název v anglickém jazyce

Statistical Estimate of Uniaxial Compressive Strength of Rock Based on Shore Hardness

Popis výsledku anglicky

The paper presents the use of advanced stochastic simulation techniques for estimating the strength behavior of rock materials. The Shore Rebound hardness was measured on fifty rock specimens coming from eleven different geological localities in Czech Republic. The dry unit weight of every tested rock material was determined also. Uniaxial compressive strength of rock was evaluated then by conducting the compression test on every specimen. Empirical distribution of Shore hardness and dry unit weight variables obtained from laboratory tests was approximated by the best fitted theoretical probability distribution. The stochastic simulation using Latin Hypercube Sampling was conducted based on those distributions. Two different equations used for estimating the compressive strength of rock on the basis of Shore hardness in practice was used as model functions. Comparison and statistical evaluation of uniaxial compressive strength of rock determined by compression test and those obtained as a result of stochastic simulation is discussed. The description of probability distribution of uniaxial strength is obtained as a result of introduced analysis, which can be used as input for fully probabilistic design models of rock materials.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20101 - Civil engineering

Projekt

<a href="/cs/project/FR-TI4%2F329" target="_blank" >FR-TI4/329: Výzkum a Vývoj - tvorba aplikačního systému pro návrh a posouzení zemních a horninových kotev včetně vývoje monitorovacích prvků</a><br>

Návaznosti

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

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

ISRM European Rock Mechanics Symposium EUROCK 2017

ISBN

—

ISSN

1877-7058

e-ISSN

—

Počet stran výsledku

8

Strana od-do

248-255

Název nakladatele

Elsevier

Místo vydání

Ostrava

Místo konání akce

Ostrava

Datum konání akce

20. 6. 2017

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

000416996000032