Structural optimisation of diffusion driven degradation processes
(2021) In Structural and Multidisciplinary Optimization 64(2). p.889-903- Abstract
In this article, we propose an optimisation framework that can contribute to the prevention of premature failure or damage to building structures and can thereby strengthen their longevity. We concentrate on structures that are contaminated by chemical substances and that have strong destructive effects on the material. The aim of this contribution is a mathematical algorithm that allows the optimisation of a structure exposed to chemical influences and thus the assurance of the static load capacity. To achieve this, we present a coupled mechanical-diffusion-degradation approach embedded in a finite element (FE) framework. Furthermore, we integrate an optimisation algorithm to reduce material degradation. In this paper, we establish... (More)
In this article, we propose an optimisation framework that can contribute to the prevention of premature failure or damage to building structures and can thereby strengthen their longevity. We concentrate on structures that are contaminated by chemical substances and that have strong destructive effects on the material. The aim of this contribution is a mathematical algorithm that allows the optimisation of a structure exposed to chemical influences and thus the assurance of the static load capacity. To achieve this, we present a coupled mechanical-diffusion-degradation approach embedded in a finite element (FE) framework. Furthermore, we integrate an optimisation algorithm to reduce material degradation. In this paper, we establish shape optimisation of a structure with a gradient based optimisation algorithm.
(Less)
- author
- Waschinsky, Navina ; Barthold, Franz Joseph and Menzel, Andreas LU
- organization
- publishing date
- 2021
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Coupled problems, Degradation, Mechanical diffusion coupling, Shape optimisation
- in
- Structural and Multidisciplinary Optimization
- volume
- 64
- issue
- 2
- pages
- 15 pages
- publisher
- Springer
- external identifiers
-
- scopus:85107080890
- ISSN
- 1615-147X
- DOI
- 10.1007/s00158-021-02900-8
- language
- English
- LU publication?
- yes
- id
- 8b77d232-a662-4b25-b440-a70f1f20e864
- date added to LUP
- 2021-12-10 11:18:25
- date last changed
- 2022-04-27 06:33:16
@article{8b77d232-a662-4b25-b440-a70f1f20e864,
abstract = {{<p>In this article, we propose an optimisation framework that can contribute to the prevention of premature failure or damage to building structures and can thereby strengthen their longevity. We concentrate on structures that are contaminated by chemical substances and that have strong destructive effects on the material. The aim of this contribution is a mathematical algorithm that allows the optimisation of a structure exposed to chemical influences and thus the assurance of the static load capacity. To achieve this, we present a coupled mechanical-diffusion-degradation approach embedded in a finite element (FE) framework. Furthermore, we integrate an optimisation algorithm to reduce material degradation. In this paper, we establish shape optimisation of a structure with a gradient based optimisation algorithm.</p>}},
author = {{Waschinsky, Navina and Barthold, Franz Joseph and Menzel, Andreas}},
issn = {{1615-147X}},
keywords = {{Coupled problems; Degradation; Mechanical diffusion coupling; Shape optimisation}},
language = {{eng}},
number = {{2}},
pages = {{889--903}},
publisher = {{Springer}},
series = {{Structural and Multidisciplinary Optimization}},
title = {{Structural optimisation of diffusion driven degradation processes}},
url = {{http://dx.doi.org/10.1007/s00158-021-02900-8}},
doi = {{10.1007/s00158-021-02900-8}},
volume = {{64}},
year = {{2021}},
}