A simplified statistic-based procedure for gas dispersion prediction of fixed offshore platform
© 2017 In explosion risk analysis, Frozen Cloud Approach (FCA) and Dimensionless Response Surface Method (DRSM) are both commonly used to achieve a balance between simulation workloads and accurate results. However, the drawbacks of these two approaches are obvious. FCA is not reliable for risk stud...
| Main Authors: | , , , , , |
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| Format: | Journal Article |
| Published: |
Elsevier
2018
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| Online Access: | http://hdl.handle.net/20.500.11937/66334 |
| _version_ | 1848761297761468416 |
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| author | Shi, Jihao Li, J. Zhu, Y. Hao, Hong Chen, G. Xie, B. |
| author_facet | Shi, Jihao Li, J. Zhu, Y. Hao, Hong Chen, G. Xie, B. |
| author_sort | Shi, Jihao |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 2017 In explosion risk analysis, Frozen Cloud Approach (FCA) and Dimensionless Response Surface Method (DRSM) are both commonly used to achieve a balance between simulation workloads and accurate results. However, the drawbacks of these two approaches are obvious. FCA is not reliable for risk study of fuel-dominated regions. Whereas DRSM usually couples the dimensionless parameters and generates a large numbers of correlations to predict the flammable cloud size, which brings a heavy computation burden for engineers. Therefore, this paper aims to propose a simplified procedure which can quickly and accurately provide a large number of non-simulation data based on limited CFD simulation data. Full Factorial Design of Experiment (FFDOE) based RSM is adopted. Codification is applied to couple all the dimensional parameters into a single correlation. Automatically Selected Model Technology (ASMT) is used to easily determine the suitable structure of correlation. Compared to the conventional procedures, the simplified procedure is proven to be more robust. For subsequent Explosion risk analyses (ERAs) in the fuel-dominated regions, the simplified procedure becomes a superior alternative. |
| first_indexed | 2025-11-14T10:29:26Z |
| format | Journal Article |
| id | curtin-20.500.11937-66334 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:29:26Z |
| publishDate | 2018 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-663342018-04-30T02:48:46Z A simplified statistic-based procedure for gas dispersion prediction of fixed offshore platform Shi, Jihao Li, J. Zhu, Y. Hao, Hong Chen, G. Xie, B. © 2017 In explosion risk analysis, Frozen Cloud Approach (FCA) and Dimensionless Response Surface Method (DRSM) are both commonly used to achieve a balance between simulation workloads and accurate results. However, the drawbacks of these two approaches are obvious. FCA is not reliable for risk study of fuel-dominated regions. Whereas DRSM usually couples the dimensionless parameters and generates a large numbers of correlations to predict the flammable cloud size, which brings a heavy computation burden for engineers. Therefore, this paper aims to propose a simplified procedure which can quickly and accurately provide a large number of non-simulation data based on limited CFD simulation data. Full Factorial Design of Experiment (FFDOE) based RSM is adopted. Codification is applied to couple all the dimensional parameters into a single correlation. Automatically Selected Model Technology (ASMT) is used to easily determine the suitable structure of correlation. Compared to the conventional procedures, the simplified procedure is proven to be more robust. For subsequent Explosion risk analyses (ERAs) in the fuel-dominated regions, the simplified procedure becomes a superior alternative. 2018 Journal Article http://hdl.handle.net/20.500.11937/66334 10.1016/j.psep.2017.12.002 Elsevier restricted |
| spellingShingle | Shi, Jihao Li, J. Zhu, Y. Hao, Hong Chen, G. Xie, B. A simplified statistic-based procedure for gas dispersion prediction of fixed offshore platform |
| title | A simplified statistic-based procedure for gas dispersion prediction of fixed offshore platform |
| title_full | A simplified statistic-based procedure for gas dispersion prediction of fixed offshore platform |
| title_fullStr | A simplified statistic-based procedure for gas dispersion prediction of fixed offshore platform |
| title_full_unstemmed | A simplified statistic-based procedure for gas dispersion prediction of fixed offshore platform |
| title_short | A simplified statistic-based procedure for gas dispersion prediction of fixed offshore platform |
| title_sort | simplified statistic-based procedure for gas dispersion prediction of fixed offshore platform |
| url | http://hdl.handle.net/20.500.11937/66334 |