Efficient uncertainty quantification for mechanical properties of randomly perturbed elastic rods

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Patrick Dondl - , Albert-Ludwigs-Universität Freiburg (Autor:in)
  • Yongming Luo - , Shenzhen MSU-BIT University (Autor:in)
  • Stefan Neukamm - , Professur für Angewandte Analysis (Autor:in)
  • Steve Wolff-Vorbeck - , Albert-Ludwigs-Universität Freiburg (Autor:in)

Abstract

Motivated by an application involving additively manufactured bioresorbable polymer scaffolds supporting bone tissue regeneration, we investigate the impact of uncertain geometry perturbations on the effective mechanical properties of elastic rods. To be more precise, we consider elastic rods modeled as three-dimensional linearly elastic bodies occupying randomly perturbed domains. Our focus is on a model where the cross-section of the rod is shifted along the longitudinal axis with stationary increments. To efficiently obtain accurate estimates on the resulting uncertainty of the effective elastic moduli, we use a combination of analytical and numerical methods. Specifically, we rigorously derive a one-dimensional surrogate model by analyzing the slender-rod Gamma-limit. Additionally, we establish qualitative and quantitative stochastic homogenization results for the one-dimensional surrogate model. To compare the fluctuations of the surrogate with the original three-dimensional model, we perform numerical simulations by means of finite element analysis and Monte Carlo methods.

Details

OriginalspracheEnglisch
Seiten (von - bis)1267-1325
Seitenumfang59
FachzeitschriftMultiscale Modeling and Simulation
Jahrgang22(2024)
Ausgabenummer4
Frühes Online-Datum7 Okt. 2024
PublikationsstatusVeröffentlicht - Dez. 2024
Peer-Review-StatusJa

Externe IDs

Scopus 85206321276

Schlagworte

Schlagwörter

  • elastic rods, stochastic homogenization, uncertainty quantification