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.

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Description/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.

Item Type: Conference or Workshop Item (Paper)
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
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ePrint ID: 64450
Date :
Date Event
2008Published
Date Deposited: 24 Dec 2008
Last Modified: 16 Apr 2017 17:20
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/64450

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