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Maximum-Entropy Based Estimates of Stress and Strain in Thermoelastic Random Heterogeneous Materials

Krause, Maximilian ORCID iD icon 1; Böhlke, Thomas ORCID iD icon 1
1 Institut für Technische Mechanik (ITM), Karlsruher Institut für Technologie (KIT)

Abstract:

Mean-field methods are a common procedure for characterizing random heterogeneous materials. However, they typically provide only mean stresses and strains, which do not always allow predictions of failure in the phases since exact localization of these stresses and strains requires exact microscopic knowledge of the microstructures involved, which is generally not available. In this work, the maximum entropy method pioneered by Kreher and Pompe (Internal Stresses in Heterogeneous Solids, Physical Research, vol. 9, 1989) is used for estimating one-point probability distributions of local stresses and strains for various classes of materials without requiring microstructural information beyond the volume fractions. This approach yields analytical formulae for mean values and variances of stresses or strains of general heterogeneous linear thermoelastic materials as well as various special cases of this material class. Of these, the formulae for discrete-phase materials and the formulae for polycrystals in terms of their orientation distribution functions are novel. To illustrate the theory, a parametric study based on Al-Al$_{2}$O$_{3}$ composites is performed. ... mehr


Postprint §
DOI: 10.5445/IR/1000122438
Veröffentlicht am 06.08.2020
Originalveröffentlichung
DOI: 10.1007/s10659-020-09786-5
Scopus
Zitationen: 9
Web of Science
Zitationen: 8
Dimensions
Zitationen: 8
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Technische Mechanik (ITM)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 0374-3535, 1573-2681
KITopen-ID: 1000122438
Erschienen in Journal of elasticity
Verlag Springer
Band 141
Heft 2
Seiten 321–348
Vorab online veröffentlicht am 23.07.2020
Nachgewiesen in Dimensions
Scopus
Web of Science
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