Efficient uncertainty quantification for mechanical properties of randomly perturbed elastic rods

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Patrick Dondl - , University of Freiburg (Author)
  • Yongming Luo - , Shenzhen MSU-BIT University (Author)
  • Stefan Neukamm - , Chair of Applied Analysis (Author)
  • Steve Wolff-Vorbeck - , University of Freiburg (Author)

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

Original languageEnglish
Pages (from-to)1267-1325
Number of pages59
JournalMultiscale Modeling and Simulation
Volume22(2024)
Issue number4
Early online date7 Oct 2024
Publication statusPublished - Dec 2024
Peer-reviewedYes

External IDs

Scopus 85206321276

Keywords

Keywords

  • elastic rods, stochastic homogenization, uncertainty quantification