Paik, JK;
(2019)
Computational models for offshore structural load analysis in collisions.
In:
Advanced Structural Safety Studies.
(pp. 145-187).
Springer: Singapore.
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Text
Chapter-07-Design collision loads-Final1.pdf - Accepted Version Access restricted to UCL open access staff Download (3MB) |
Abstract
Jacket type offshore platforms are used to produce offshore oil in shallow waters. Recently, fixed type wind turbines have been used to harvest offshore wind energy. To transport supplies such as food, equipment, and chemicals, offshore supply vessels (OSVs) regularly visit offshore platforms. Depending on environmental conditions and operational errors, collisions between OSVs and offshore platforms can occur. Such collisions result in the structural damage of local members, such as columns and braces, which can reduce the safety and integrity of the entire structural system. Various causes of collisions are considered relevant, such as human error, engine and equipment failure, and harsh environmental conditions. The dynamic and unpredictable nature of weather conditions must also be considered in association with volatile, uncertain, complex, and ambiguous environments. This chapter describes an advanced methodology for determining the design loads of collisions between OSVs and fixed (jacket) type offshore platforms.
Type: | Book chapter |
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Title: | Computational models for offshore structural load analysis in collisions |
ISBN-13: | 978-981-13-8244-4 |
DOI: | 10.1007/978-981-13-8245-1_7 |
Publisher version: | https://doi.org/10.1007/978-981-13-8245-1_7 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Mechanical Engineering |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10101989 |
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