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Bibliographic Details
Main Authors: Sande, Åsmund Hausken, Wind, Johan S.
Format: Preprint
Published: 2023
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Online Access:https://arxiv.org/abs/2308.01753
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author Sande, Åsmund Hausken
Wind, Johan S.
author_facet Sande, Åsmund Hausken
Wind, Johan S.
contents We develop a numerical method for the computation of a minimal convex and compact set, $\mathcal{B}\subset\mathbb{R}^N$, in the sense of mean width. This minimisation is constrained by the requirement that $\max_{b\in\mathcal{B}}\langle b , u\rangle\geq C(u)$ for all unit vectors $u\in S^{N-1}$ given some Lipschitz function $C$. This problem arises in the construction of environmental contours under the assumption of convex failure sets. Environmental contours offer descriptions of extreme environmental conditions commonly applied for reliability analysis in the early design phase of marine structures. Usually, they are applied in order to reduce the number of computationally expensive response analyses needed for reliability estimation. We solve this problem by reformulating it as a linear programming problem. Rigorous convergence analysis is performed, both in terms of convergence of mean widths and in the sense of the Hausdorff metric. Additionally, numerical examples are provided to illustrate the presented methods.
format Preprint
id arxiv_https___arxiv_org_abs_2308_01753
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Minimal Convex Environmental Contours
Sande, Åsmund Hausken
Wind, Johan S.
Numerical Analysis
65D18, 90B25, 90C05
We develop a numerical method for the computation of a minimal convex and compact set, $\mathcal{B}\subset\mathbb{R}^N$, in the sense of mean width. This minimisation is constrained by the requirement that $\max_{b\in\mathcal{B}}\langle b , u\rangle\geq C(u)$ for all unit vectors $u\in S^{N-1}$ given some Lipschitz function $C$. This problem arises in the construction of environmental contours under the assumption of convex failure sets. Environmental contours offer descriptions of extreme environmental conditions commonly applied for reliability analysis in the early design phase of marine structures. Usually, they are applied in order to reduce the number of computationally expensive response analyses needed for reliability estimation. We solve this problem by reformulating it as a linear programming problem. Rigorous convergence analysis is performed, both in terms of convergence of mean widths and in the sense of the Hausdorff metric. Additionally, numerical examples are provided to illustrate the presented methods.
title Minimal Convex Environmental Contours
topic Numerical Analysis
65D18, 90B25, 90C05
url https://arxiv.org/abs/2308.01753