Efficient domain decomposition based reliability analysis for polymorphic uncertain material parameters

  • Realistic uncertainty description incorporating aleatoric and epistemic uncertainties can be described within the framework of polymorphic uncertainty, which is computationally demanding. Utilizing a domain decomposition approach for random field based uncertainty models the proposed level-based sampling method can reduce these computational costs significantly and shows good agreement with aRealistic uncertainty description incorporating aleatoric and epistemic uncertainties can be described within the framework of polymorphic uncertainty, which is computationally demanding. Utilizing a domain decomposition approach for random field based uncertainty models the proposed level-based sampling method can reduce these computational costs significantly and shows good agreement with a standard sampling technique. While 2-level configurations tend to get unstable with decreasing sampling density 3-level setups show encouraging results for the investigated reliability analysis of a structural unit square.show moreshow less

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Metadaten
Document Type:Article
Author: Albrecht SchmidtGND, Prof. Dr. rer. nat. Tom LahmerORCiDGND
DOI (Cite-Link):https://doi.org/10.1002/pamm.202100014Cite-Link
URN (Cite-Link):https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20220112-45563Cite-Link
URL:https://onlinelibrary.wiley.com/doi/full/10.1002/pamm.202100014
Parent Title (English):Proceedings in Applied Mathematics & Mechanics
Publisher:Wiley-VHC
Place of publication:Weinheim
Language:English
Date of Publication (online):2022/01/11
Date of first Publication:2021/12/14
Release Date:2022/01/12
Publishing Institution:Bauhaus-Universität Weimar
Institutes and partner institutions:Fakultät Bauingenieurwesen / Institut für Strukturmechanik
Volume:2021
Issue:Volume 21, issue 1
Pagenumber:4
First Page:1
Last Page:4
Tag:Materialverhalten; hybride Werkstoffe; polymorphe Unschärfemodellierung
GND Keyword:Polymorphie; Stoffeigenschaft; Stochastik
Dewey Decimal Classification:600 Technik, Medizin, angewandte Wissenschaften / 620 Ingenieurwissenschaften
BKL-Classification:31 Mathematik / 31.80 Angewandte Mathematik
51 Werkstoffkunde / 51.70 Polymerwerkstoffe, Kunststoffe
56 Bauwesen / 56.45 Baustoffkunde
Licence (German):License Logo Creative Commons 4.0 - Namensnennung-Nicht kommerziell-Keine Bearbeitung (CC BY-NC-ND 4.0)