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作者:

Huang, Yimiao (Huang, Yimiao.) | Ma, Guowei (Ma, Guowei.) | Li, Jingde (Li, Jingde.)

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EI Scopus SCIE

摘要:

When assessing explosion risks of super-large offshore structures such as Floating Liquefied Natural Gas (FLNG) facilities, there are neither design rules nor industry standards available as FLNG is a new technology. Meanwhile, a large amount of Computational Fluid Dynamic (CFD) calculation time is required due to its super-large size and highly complicated topside structures. A multi-level explosion risk analysis method (MLERA) is developed in this paper, which divides the whole structure into subsections and applies detailed CFD calculations only to the areas with the highest level of potential risks so that the computational time can be reduced to a realistic and acceptable level. The MLERA includes three levels, which are qualitative risk screening, semi-quantitative risk classification, and quantitative risk assessment. A CFD tool called FLACS is used as a calculation tool for detailed risk quantification, and an ALARP (as low as reasonably practical) method is selected as a calibration tool and used to determine the acceptance of the explosion risk. Meanwhile, since the current design standards for normal offshore platforms are not sufficient for super-large structures, during the risk screening and risk classification processes, safety barriers are used as extra risk indicators in addition to the traditional ones. A case study is conducted based on a cylindrical FLNG model, and the result of the case study proves that the proposed MLERA method is able to save a large amount of computational time. (C) 2016 Elsevier Ltd. All rights reserved.

关键词:

ALARP FLNG Risk analysis Multi-level Explosion assessment CFD

作者机构:

  • [ 1 ] [Huang, Yimiao]Univ Western Australia, Sch Civil Environm & Min Engn, 35 Stirling Highway, Crawley, WA 6009, Australia
  • [ 2 ] [Ma, Guowei]Univ Western Australia, Sch Civil Environm & Min Engn, 35 Stirling Highway, Crawley, WA 6009, Australia
  • [ 3 ] [Ma, Guowei]Beijing Univ Technol, Beijing Univ Technol & Univ Western Australia Joi, 100 Pingleyuan, Beijing 100124, Peoples R China
  • [ 4 ] [Li, Jingde]Ctr Infrastruct Monitoring & Protect, Kent St, Bentley, WA 6102, Australia

通讯作者信息:

  • 马国伟

    [Ma, Guowei]Univ Western Australia, Sch Civil Environm & Min Engn, 35 Stirling Highway, Crawley, WA 6009, Australia

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来源 :

JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES

ISSN: 0950-4230

年份: 2017

卷: 45

页码: 242-254

3 . 5 0 0

JCR@2022

ESI学科: CHEMISTRY;

ESI高被引阀值:212

中科院分区:4

被引次数:

WoS核心集被引频次: 17

SCOPUS被引频次: 24

ESI高被引论文在榜: 0 展开所有

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