Optimality and acceptance criteria in offshore design
The optimal design of offshore structures is formulated as a decision theoretical problem The objective is to maximize the net present value of the service life benefit. The general optimization problem is simplified by taking into account the cost impacts of only one possible reconstruction of the...
Published in: | 21st International Conference on Offshore Mechanics and Arctic Engineering, Volume 2 |
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ftalborgunivpubl:oai:pure.atira.dk:publications/3d79a8e1-4e29-4ea9-8449-fefb47814062 2024-05-12T07:57:23+00:00 Optimality and acceptance criteria in offshore design Kübler, Oliver Faber, Michael Havbro 2002-12-14 https://vbn.aau.dk/da/publications/3d79a8e1-4e29-4ea9-8449-fefb47814062 https://doi.org/10.1115/OMAE2002-28427 http://www.scopus.com/inward/record.url?scp=0036441151&partnerID=8YFLogxK eng eng https://vbn.aau.dk/da/publications/3d79a8e1-4e29-4ea9-8449-fefb47814062 info:eu-repo/semantics/restrictedAccess Kübler , O & Faber , M H 2002 , ' Optimality and acceptance criteria in offshore design ' , Paper presented at Proceedings of the 21st International Conference on Offshore Mechanics and Arctic Engineering (OMAE) , Oslo , Norway , 23/06/2002 - 28/06/2002 pp. 401-409 . https://doi.org/10.1115/OMAE2002-28427 conferenceObject 2002 ftalborgunivpubl https://doi.org/10.1115/OMAE2002-28427 2024-04-15T00:45:08Z The optimal design of offshore structures is formulated as a decision theoretical problem The objective is to maximize the net present value of the service life benefit. The general optimization problem is simplified by taking into account the cost impacts of only one possible reconstruction of the structure. The analytical solution to this problem has been derived for the case, where failure events follow a stationary Poisson process. The service life benefit is formulated in terms of the production profile, the design and construction costs, the costs of failure and the costs of reconstruction. In order to assess the effect of potential loss of lives, the costs of fatalities are included applying the concept of the Imp lied Costs of Averting a Fatality (ICAF). The suggested approach to optimal design, which can be applied for any type of offshore structure, is exemplified considering the special case of steel structures. Here it is standard to represent the ultimate structural capacity in terms of the Reserve Strength Ratio (RSR). For the purpose of illustration, the relation between material usage and RSR valid for monopod structures is applied. Optimal RSR's and annual failure rates are assessed for both manned and un-manned structures covering a wide range of different realistic ratios between the potential income and costs of construction, failure and reconstruction costs. Conference Object Arctic Aalborg University's Research Portal Lied ENVELOPE(65.532,65.532,-70.502,-70.502) 21st International Conference on Offshore Mechanics and Arctic Engineering, Volume 2 401 409 |
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Aalborg University's Research Portal |
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ftalborgunivpubl |
language |
English |
description |
The optimal design of offshore structures is formulated as a decision theoretical problem The objective is to maximize the net present value of the service life benefit. The general optimization problem is simplified by taking into account the cost impacts of only one possible reconstruction of the structure. The analytical solution to this problem has been derived for the case, where failure events follow a stationary Poisson process. The service life benefit is formulated in terms of the production profile, the design and construction costs, the costs of failure and the costs of reconstruction. In order to assess the effect of potential loss of lives, the costs of fatalities are included applying the concept of the Imp lied Costs of Averting a Fatality (ICAF). The suggested approach to optimal design, which can be applied for any type of offshore structure, is exemplified considering the special case of steel structures. Here it is standard to represent the ultimate structural capacity in terms of the Reserve Strength Ratio (RSR). For the purpose of illustration, the relation between material usage and RSR valid for monopod structures is applied. Optimal RSR's and annual failure rates are assessed for both manned and un-manned structures covering a wide range of different realistic ratios between the potential income and costs of construction, failure and reconstruction costs. |
format |
Conference Object |
author |
Kübler, Oliver Faber, Michael Havbro |
spellingShingle |
Kübler, Oliver Faber, Michael Havbro Optimality and acceptance criteria in offshore design |
author_facet |
Kübler, Oliver Faber, Michael Havbro |
author_sort |
Kübler, Oliver |
title |
Optimality and acceptance criteria in offshore design |
title_short |
Optimality and acceptance criteria in offshore design |
title_full |
Optimality and acceptance criteria in offshore design |
title_fullStr |
Optimality and acceptance criteria in offshore design |
title_full_unstemmed |
Optimality and acceptance criteria in offshore design |
title_sort |
optimality and acceptance criteria in offshore design |
publishDate |
2002 |
url |
https://vbn.aau.dk/da/publications/3d79a8e1-4e29-4ea9-8449-fefb47814062 https://doi.org/10.1115/OMAE2002-28427 http://www.scopus.com/inward/record.url?scp=0036441151&partnerID=8YFLogxK |
long_lat |
ENVELOPE(65.532,65.532,-70.502,-70.502) |
geographic |
Lied |
geographic_facet |
Lied |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Kübler , O & Faber , M H 2002 , ' Optimality and acceptance criteria in offshore design ' , Paper presented at Proceedings of the 21st International Conference on Offshore Mechanics and Arctic Engineering (OMAE) , Oslo , Norway , 23/06/2002 - 28/06/2002 pp. 401-409 . https://doi.org/10.1115/OMAE2002-28427 |
op_relation |
https://vbn.aau.dk/da/publications/3d79a8e1-4e29-4ea9-8449-fefb47814062 |
op_rights |
info:eu-repo/semantics/restrictedAccess |
op_doi |
https://doi.org/10.1115/OMAE2002-28427 |
container_title |
21st International Conference on Offshore Mechanics and Arctic Engineering, Volume 2 |
container_start_page |
401 |
op_container_end_page |
409 |
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1798837734940344320 |