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On calibration of micro-crack model of thermally induced cracks through inverse analysis
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Journal of Material Sciences & Engineering

ISSN: 2169-0022

Open Access

On calibration of micro-crack model of thermally induced cracks through inverse analysis


2nd International Conference and Expo on Ceramics & Composite Materials

July 25-26, 2016 Berlin, Germany

Vladimir Buljak

University of Belgrade, Serbia

Scientific Tracks Abstracts: J Material Sci Eng

Abstract :

Micro-cracking induced by cooling within polycrystalline ceramics with strong anisotropy of crystal thermal expansion is a well-acknowledge phenomenon. Formation of such cracks is directly affecting macroscopic elastic properties, as polycrystalline ceramics are presenting a drop in Young�s modulus value when cooled down from firing temperature. This effect can be numerically modeled, but the adopted approach has to be multi-scale, what makes it particularly challenging. This study presents some preliminary results, obtained considering a multi-scale model for thermally induced microcracking. Modeling of grain-boundary micro cracking is performed by insertion of cohesive elements. Developed numerical model is first used for qualitative analysis of the influence of grain size and their orientation to the macroscopic properties of polycrystalline ceramics. In a subsequent phase, a calibration procedure is designed based on inverse analysis in which macroscopic properties are used to calibrate parameters of cohesive crack model. Such approach is centered on a minimization of discrepancy function designed to quantify the difference between experimentally measured quantities and their computed counterpart. Resulting minimization problem is solved by a non-linear mathematical programming, using the quadratic form of discrepancy function. Results from preliminary computational exercises corroborate the conclusion that the employment of inverse analysis is advantageous in the present context. This methodology leads from experimental data to parameter estimates through computer simulation, connecting micro-scale parameter�s values to macroscopic properties of interest.

Biography :

Vladimir Buljak has completed his PhD at Politecnico di Milano in the year 2009. Currently, he holds the position of Associate Professor at the University of Belgrade and he is also in charge of a course Theory of Plasticity at Politecnico di Milano, as a visiting Professor. He has published more than 10 papers in reputed journals and one monograph on Inverse Analysis published by Springer. He is the Scientist in charge for the University of Belgrade within the PF7 project CERMAT2.

Email: vladimir.buljak@polimi.it

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