Uncertainty quantification for a 1D thermo-hyperelastic coupled problem using polynomial chaos projection and p-FEMs. (October 2015)
- Record Type:
- Journal Article
- Title:
- Uncertainty quantification for a 1D thermo-hyperelastic coupled problem using polynomial chaos projection and p-FEMs. (October 2015)
- Main Title:
- Uncertainty quantification for a 1D thermo-hyperelastic coupled problem using polynomial chaos projection and p-FEMs
- Authors:
- Weiss, Danny
Yosibash, Zohar - Abstract:
- <abstract xml:lang="en" abstract-type="author" id="a000005"> <title id="st000005">Abstract</title> <sec> <p id="sp000120">Numerical solutions of non-linear stochastic thermo-hyperelastic problems at finite strains are addressed. These belong to a category of non-linear coupled problems that impose challenges on their numerical treatment both in the physical and stochastic spaces. Combining the high order finite element methods (FEMs) for discretizing the physical space and the polynomial chaos projection (PCP) method for discretizing the stochastic space, a non-intrusive scheme is obtained manifesting an exponential convergence rate. The method is applied to a 1-D coupled, stationary, thermo-hyperelastic system with stochastic material properties.</p> <p id="sp000125">We derive exact stochastic solutions that serve for comparison to numerical results, allowing their verification. These demonstrate that stochastic coupled-problems intractable by standard Monte-Carlo (MC) methods may be easily computed by combining high-order FEMs with the PCP method controlling discretization errors.</p> </sec> </abstract>
- Is Part Of:
- Computers & mathematics with applications. Volume 70:issue 7(2015)
- Journal:
- Computers & mathematics with applications
- Issue:
- Volume 70:issue 7(2015)
- Issue Display:
- Volume 70, Issue 7 (2015)
- Year:
- 2015
- Volume:
- 70
- Issue:
- 7
- Issue Sort Value:
- 2015-0070-0007-0000
- Page Start:
- 1701
- Page End:
- 1720
- Publication Date:
- 2015-10
- Subjects:
- Electronic data processing -- Periodicals
Mathematics -- Data processing -- Periodicals
510.28541 - Journal URLs:
- http://www.sciencedirect.com/science/journal/08981221 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.camwa.2015.04.024 ↗
- Languages:
- English
- ISSNs:
- 0898-1221
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.730000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 3848.xml