1996
DOI: 10.1061/(asce)0733-9399(1996)122:8(788)
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Stochastic Damage Model for Brittle Materials Subjected to Monotonic Loading

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Cited by 69 publications
(31 citation statements)
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“…According to Kandarpa et al (1996) and Li and Zhang (2001), a structural element in uniaxial loading condition can be idealized as a series of micro-elements jointed in parallel (Fig. 1).…”
Section: Uniaxial Stochastic Damage Modelmentioning
confidence: 99%
“…According to Kandarpa et al (1996) and Li and Zhang (2001), a structural element in uniaxial loading condition can be idealized as a series of micro-elements jointed in parallel (Fig. 1).…”
Section: Uniaxial Stochastic Damage Modelmentioning
confidence: 99%
“…However, even above-mentioned models are capable of addressing and modelling the nonlinearity emerged in stress-strain relationship of CA mortar, they are in deficiency of describing relative stochastic properties (e.g., the variation of strain-stress relationships induced by loading for a group of identical specimens), which limit the application of CA mortar in the engineering field inevitably. Usually, nonlinearity and randomness are two essential characteristics of materials' mechanical behaviors and could be easily observed in experiments [47,[49][50][51][52][53][54]. For heterogeneous material subjected to external load, internal pre-existing flaws (initial damage) will develop and further result in the appearance of nonlinearity in the stress-strain relationship.…”
Section: Of 31mentioning
confidence: 99%
“…The development of damage evolution function is refer to [17] and [23]. The stochastic damage evolution functions under static loading are expressed as follows (32) where Δ(x) is the 1-D micro-fracture strain random field;…”
Section: Damage Evolutionmentioning
confidence: 99%
“…[17] investigated the stochastic damage model and developed the standard deviation of damage evolution. Li and Ren [23] further improved the results of [17] and implemented the stochastic damage model into the energy based multiaxial damage-plasticity framework.…”
Section: Introductionmentioning
confidence: 99%