Tackling geometric uncertainty with stochastic projection schemes

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


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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)
Keywords: geometric uncertainty, polynomial chaos, stochastic krylov methods
Subjects: R Medicine > RD Surgery
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TA Engineering (General). Civil engineering (General)
Divisions : University Structure - Pre August 2011 > School of Engineering Sciences > Computational Engineering and Design
ePrint ID: 64450
Accepted Date and Publication Date:
Date Deposited: 24 Dec 2008
Last Modified: 31 Mar 2016 12:49
URI: http://eprints.soton.ac.uk/id/eprint/64450

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