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Tackling geometric uncertainty with stochastic projection schemes

Nair, Prasanth B. (2008) Tackling geometric uncertainty with stochastic projection schemes At 8th World Congress on Computational Mechanics (WCCM8): 5th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2008). 30 Jun - 05 Jul 2008. 2 pp.

Record type: Conference or Workshop Item (Paper)

Abstract

Geometric uncertainties are commonly encountered in computational modeling of a wide variety of engineered and natural systems. A motivating example is statistical analysis of the biomechanical integrity of total hip replacements, where there is a pressing need to consider inter- and intra-patient variability in the femur geometry and desnity distribution. There is currently very little work in the literature on how to incoporate such models of geometric uncertainty in stochastic finite element methods.

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More information

Published date: 2008
Venue - Dates: 8th World Congress on Computational Mechanics (WCCM8): 5th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2008), 2008-06-30 - 2008-07-05
Keywords: geometric uncertainty, polynomial chaos, stochastic krylov methods

Identifiers

Local EPrints ID: 64450
URI: http://eprints.soton.ac.uk/id/eprint/64450
PURE UUID: e5b68b36-fdcf-41f8-8b2e-8f068d15bd0b

Catalogue record

Date deposited: 24 Dec 2008
Last modified: 17 Jul 2017 14:13

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