2018
DOI: 10.1590/1679-78254945
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Micro-mechanical numerical analyses on the effect of stress state on ductile damage under dynamic loading conditions

Abstract: The paper deals with the effect of stress state on the dynamic damage behavior of ductile materials. The rate-and temperature-dependent continuum damage model has been enhanced to take into account the influence of the stress triaxiality and the Lode parameter on damage condition and on rate equations of damage strains. Different branches of these criteria depending on the current stress state are considered based on different damage and failure processes on the micro-level. To get more insight in the dynamic … Show more

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Cited by 3 publications
(3 citation statements)
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“…Among them, the simplest is RSM, which is basically a polynomial regression. Independently of the adopted technique, the general form of the method results in an approximation of the exact solution, 𝑦 = 𝑦 + 𝜖 (47) where, for a given state 𝑖 of input variables, 𝑦 is the exact solution from the numerical model, 𝑦 is the approximate response surface and 𝜖 is the error between the exact solution and the approximation. The approximations 𝑦 are those that minimize the sum of squared errors (SSE), defined as,…”
Section: Discussionmentioning
confidence: 99%
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“…Among them, the simplest is RSM, which is basically a polynomial regression. Independently of the adopted technique, the general form of the method results in an approximation of the exact solution, 𝑦 = 𝑦 + 𝜖 (47) where, for a given state 𝑖 of input variables, 𝑦 is the exact solution from the numerical model, 𝑦 is the approximate response surface and 𝜖 is the error between the exact solution and the approximation. The approximations 𝑦 are those that minimize the sum of squared errors (SSE), defined as,…”
Section: Discussionmentioning
confidence: 99%
“…where 𝜇 is the Lode parameter Gerke, Adulyasak and Brünig (2017) [46], Brünig, Gerke and Tix (2018) [47] and in Brünig, Gerke and Schmidt (2016, 2016a, 2018) [48], [49], [50].…”
Section: Measurements Derived From Invariantsmentioning
confidence: 99%
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