Dynamic accident modelling to improve risk analysis in the context of Bhopal industries / Nurul Izzatul Nadia Adnan, Mohd Azahar Mohd Ariff and Noor ‘Aina Abdul Razak
Chemical industries are complicated and dynamic to handle. Dynamic characteristics could include inspection time interval, ageing of components in plants and other dependent criteria can influence dynamic processes. The conventional risk assessment could measure dynamic changes in processes but only...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
2020
|
| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/81577/1/81577.pdf https://ir.uitm.edu.my/id/eprint/81577/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1833077716283293696 |
|---|---|
| author | Adnan, Nurul Izzatul Nadia Mohd Ariff, Mohd Azahar Abdul Razak, Noor ‘Aina |
| author_facet | Adnan, Nurul Izzatul Nadia Mohd Ariff, Mohd Azahar Abdul Razak, Noor ‘Aina |
| author_sort | Adnan, Nurul Izzatul Nadia |
| building | Tun Abdul Razak Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Mara |
| content_source | UiTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Chemical industries are complicated and dynamic to handle. Dynamic characteristics could include inspection time interval, ageing of components in plants and other dependent criteria can influence dynamic processes. The conventional risk assessment could measure dynamic changes in processes but only in limited capacity. Hence, it is significant to develop method for timedependent effects to predict the probabilities failure rates for components in plant with time. In this study, dynamic risk assessment has been developed a technique based on Bayesian network (BN). BN is a structure optimal which organize cause-effect relations and dynamic BN capture change variables over time. This study proposed to develop dynamic accident modelling to improve risk analysis in the context of Bhopal industries. A methyl isocyanate (MIC) gas leakage scenario in the plant was quantified through identifying hazards through fault tree analysis. It has been observed that the developed method was able to provide updated probability failure of different components with time. In this study, Bhopal cases would be illustrated the mapping procedure of FT into BN and to identify factors to have significant influence on an event occurrence. Rupture disk, gas leakage and water accumulation in pipe contribute into gas explosion in Bhopal where the components and safety barriers started to fail by year and no inspection had done. Therefore, the finding showed a method for dynamic risk assessment which enable of providing updated probability of event occurrences through failure rates, considering sequential dependencies with time. The failure rates were simulated in GeNIe software. Therefore, dynamic characteristics could reduce cost of inspection, downtime and other maintenances. The possibilities of failure rate values for components tend to increase with time. But with maintenance work were done on equipment in every one year, then possibilities of failure rates become decreases and low possibilities of breakdown. The Bhopal failures were demonstrated the effect of sequential; dependency of one component on another component contributes to the risk. It could be concluded that with the increases in year of inspection interval, the probability of top event, MIC gas released to the surrounding would be reduced. |
| format | Conference or Workshop Item |
| id | my.uitm.ir-81577 |
| institution | Universiti Teknologi Mara |
| language | en |
| publishDate | 2020 |
| record_format | eprints |
| spelling | my.uitm.ir-815772023-07-25T01:11:53Z https://ir.uitm.edu.my/id/eprint/81577/ Dynamic accident modelling to improve risk analysis in the context of Bhopal industries / Nurul Izzatul Nadia Adnan, Mohd Azahar Mohd Ariff and Noor ‘Aina Abdul Razak Adnan, Nurul Izzatul Nadia Mohd Ariff, Mohd Azahar Abdul Razak, Noor ‘Aina Air pollution and its control Chemical industries are complicated and dynamic to handle. Dynamic characteristics could include inspection time interval, ageing of components in plants and other dependent criteria can influence dynamic processes. The conventional risk assessment could measure dynamic changes in processes but only in limited capacity. Hence, it is significant to develop method for timedependent effects to predict the probabilities failure rates for components in plant with time. In this study, dynamic risk assessment has been developed a technique based on Bayesian network (BN). BN is a structure optimal which organize cause-effect relations and dynamic BN capture change variables over time. This study proposed to develop dynamic accident modelling to improve risk analysis in the context of Bhopal industries. A methyl isocyanate (MIC) gas leakage scenario in the plant was quantified through identifying hazards through fault tree analysis. It has been observed that the developed method was able to provide updated probability failure of different components with time. In this study, Bhopal cases would be illustrated the mapping procedure of FT into BN and to identify factors to have significant influence on an event occurrence. Rupture disk, gas leakage and water accumulation in pipe contribute into gas explosion in Bhopal where the components and safety barriers started to fail by year and no inspection had done. Therefore, the finding showed a method for dynamic risk assessment which enable of providing updated probability of event occurrences through failure rates, considering sequential dependencies with time. The failure rates were simulated in GeNIe software. Therefore, dynamic characteristics could reduce cost of inspection, downtime and other maintenances. The possibilities of failure rate values for components tend to increase with time. But with maintenance work were done on equipment in every one year, then possibilities of failure rates become decreases and low possibilities of breakdown. The Bhopal failures were demonstrated the effect of sequential; dependency of one component on another component contributes to the risk. It could be concluded that with the increases in year of inspection interval, the probability of top event, MIC gas released to the surrounding would be reduced. 2020 Conference or Workshop Item PeerReviewed text en https://ir.uitm.edu.my/id/eprint/81577/1/81577.pdf Dynamic accident modelling to improve risk analysis in the context of Bhopal industries / Nurul Izzatul Nadia Adnan, Mohd Azahar Mohd Ariff and Noor ‘Aina Abdul Razak. (2020) In: UNSPECIFIED. |
| spellingShingle | Air pollution and its control Adnan, Nurul Izzatul Nadia Mohd Ariff, Mohd Azahar Abdul Razak, Noor ‘Aina Dynamic accident modelling to improve risk analysis in the context of Bhopal industries / Nurul Izzatul Nadia Adnan, Mohd Azahar Mohd Ariff and Noor ‘Aina Abdul Razak |
| title | Dynamic accident modelling to improve risk analysis in the context of Bhopal industries / Nurul Izzatul Nadia Adnan, Mohd Azahar Mohd Ariff and Noor ‘Aina Abdul Razak |
| title_full | Dynamic accident modelling to improve risk analysis in the context of Bhopal industries / Nurul Izzatul Nadia Adnan, Mohd Azahar Mohd Ariff and Noor ‘Aina Abdul Razak |
| title_fullStr | Dynamic accident modelling to improve risk analysis in the context of Bhopal industries / Nurul Izzatul Nadia Adnan, Mohd Azahar Mohd Ariff and Noor ‘Aina Abdul Razak |
| title_full_unstemmed | Dynamic accident modelling to improve risk analysis in the context of Bhopal industries / Nurul Izzatul Nadia Adnan, Mohd Azahar Mohd Ariff and Noor ‘Aina Abdul Razak |
| title_short | Dynamic accident modelling to improve risk analysis in the context of Bhopal industries / Nurul Izzatul Nadia Adnan, Mohd Azahar Mohd Ariff and Noor ‘Aina Abdul Razak |
| title_sort | dynamic accident modelling to improve risk analysis in the context of bhopal industries / nurul izzatul nadia adnan, mohd azahar mohd ariff and noor ‘aina abdul razak |
| topic | Air pollution and its control |
| url | https://ir.uitm.edu.my/id/eprint/81577/1/81577.pdf https://ir.uitm.edu.my/id/eprint/81577/ |
| url_provider | http://ir.uitm.edu.my/ |