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Polynomial Chaos Expansion in Bio-and Structural Mechanics

Abstract

This monograph presents a probabilistic approach to modelling the mechanics of materials and structures where the modelled performance is influenced by uncertainty in the input parameters. The work is interdisciplinary and the methods described are applied to medical and civil engineering problems. The motivation for this work was the necessity of mechanics-based approaches in the modelling and simulation of implants used in the repair of ventral hernias. Many uncertainties appear in the modelling of the implant-abdominal wall system. The probabilistic approach proposed in this monograph enables these uncertainties to be propagated to the output of the model and the investigation of their respective influences. The regression-based polynomial chaos expansion method is used here. However, the accuracy of such non-intrusive methods depends on the number and location of sampling points. Finding a universal method to achieve a good balance between accuracy and computational cost is still an open question so different approaches are investigated in this monograph in order to choose an efficient method. Global sensitivity analysis is used to investigate the respective influences of input uncertainties on the variation of the outputs of different models. The uncertainties are propagated to the implant-abdominal wall models in order to draw some conclusions important for further research. Using the expertise acquired from biomechanical models, modelling of historic timber joints and simulations of their mechanical behaviour is undertaken. Such an investigation is important owing to the need for efficient planning of repairs and renovation of buildings of historical value.

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Category:
Monographic publication
Type:
książka - monografia autorska /podręcznik o zasięgu krajowym
Language:
English
Publication year:
2022
Bibliographic description:
Szepietowska K.: Polynomial Chaos Expansion in Bio-and Structural Mechanics. Gdańsk: Politechnika Gdańska, 2022. ISBN 978-83-7348-866-3
Sources of funding:
Verified by:
Gdańsk University of Technology

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