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Statements

Subject Item
n2:RIV%2F00216305%3A26110%2F04%3APU44806%21RIV06-GA0-26110___
rdf:type
skos:Concept n14:Vysledek
dcterms:description
Quasibrittle materials such as concrete, fiber composites, rocks, tough ceramics, sea ice, dry snow slabs, wood and some biomaterials, fail at different nominal strengths with respect to their structural size. Smaller structures fail in a ductile mannerwhich usually involves distributed cracking with strain-softening. The stress redistribution that is caused by fracture and distributed cracking engenders an energetic size effect, i.e., decrease of the nominal strength of structures with increasing sttructure size. A structure far larger than the fracture process zone (FPZ) fails in an almost perfectly brittle manner and, if the failure occurs right at the crack initiation,the failure load is governed by the statistically weakest point in the structure, which gives a basis to the statistical size effect. Strategies for capturing the statistical size effect using the stochastic finite element method in the sense of extreme value statistics are presented. They combine feasible types of Monte Car Quasibrittle materials such as concrete, fiber composites, rocks, tough ceramics, sea ice, dry snow slabs, wood and some biomaterials, fail at different nominal strengths with respect to their structural size. Smaller structures fail in a ductile mannerwhich usually involves distributed cracking with strain-softening. The stress redistribution that is caused by fracture and distributed cracking engenders an energetic size effect, i.e., decrease of the nominal strength of structures with increasing sttructure size. A structure far larger than the fracture process zone (FPZ) fails in an almost perfectly brittle manner and, if the failure occurs right at the crack initiation,the failure load is governed by the statistically weakest point in the structure, which gives a basis to the statistical size effect. Strategies for capturing the statistical size effect using the stochastic finite element method in the sense of extreme value statistics are presented. They combine feasible types of Monte Car Quasibrittle materials such as concrete, fiber composites, rocks, tough ceramics, sea ice, dry snow slabs, wood and some biomaterials, fail at different nominal strengths with respect to their structural size. Smaller structures fail in a ductile mannerwhich usually involves distributed cracking with strain-softening. The stress redistribution that is caused by fracture and distributed cracking engenders an energetic size effect, i.e., decrease of the nominal strength of structures with increasing sttructure size. A structure far larger than the fracture process zone (FPZ) fails in an almost perfectly brittle manner and, if the failure occurs right at the crack initiation,the failure load is governed by the statistically weakest point in the structure, which gives a basis to the statistical size effect. Strategies for capturing the statistical size effect using the stochastic finite element method in the sense of extreme value statistics are presented. They combine feasible types of Monte Car
dcterms:title
Stochastic fracture mechanics and size effect Stochastická lomová mechanika a vliv velikosti Stochastic fracture mechanics and size effect
skos:prefLabel
Stochastická lomová mechanika a vliv velikosti Stochastic fracture mechanics and size effect Stochastic fracture mechanics and size effect
skos:notation
RIV/00216305:26110/04:PU44806!RIV06-GA0-26110___
n4:aktivita
n7:P n7:Z
n4:aktivity
P(GA103/00/0603), P(GA103/02/1030), P(GV103/97/K003), Z(MSM 261100007)
n4:dodaniDat
n16:2006
n4:domaciTvurceVysledku
n10:1352687
n4:druhVysledku
n15:V
n4:duvernostUdaju
n19:S
n4:entitaPredkladatele
n18:predkladatel
n4:idSjednocenehoVysledku
588187
n4:idVysledku
RIV/00216305:26110/04:PU44806
n4:jazykVysledku
n12:eng
n4:klicovaSlova
Probabilistic-based assessment, failure probability, reliability, reliability, software, Latin Hypercube Sampling, sensitivity analysis, quasibrittle materials, concrete,multi-filament yarn, fiber bundle models, delayed activation,nonlinear fracture mech
n4:klicoveSlovo
n5:Probabilistic-based%20assessment n5:failure%20probability n5:multi-filament%20yarn n5:sensitivity%20analysis n5:quasibrittle%20materials n5:software n5:reliability n5:delayed%20activation n5:Latin%20Hypercube%20Sampling n5:concrete n5:nonlinear%20fracture%20mech n5:fiber%20bundle%20models
n4:kontrolniKodProRIV
[0F1C471F93BC]
n4:mistoVydani
Brno
n4:objednatelVyzkumneZpravy
VUT v Brně
n4:obor
n6:JM
n4:pocetDomacichTvurcuVysledku
1
n4:pocetTvurcuVysledku
1
n4:projekt
n11:GA103%2F00%2F0603 n11:GA103%2F02%2F1030 n11:GV103%2F97%2FK003
n4:rokUplatneniVysledku
n16:2004
n4:tvurceVysledku
Vořechovský, Miroslav
n4:verzeVyzkumneZpravy
Doktorská dizertační práce
n4:zamer
n20:MSM%20261100007
s:numberOfPages
170
n13:isbn
80-214-2695-0
n8:organizacniJednotka
26110