Publication: Computer aidid quantitative risk assesment
| datacite.subject.fos | oecd::Engineering and technology::Chemical engineering | |
| dc.contributor.author | Haingkharran a/l Gunasekaran | |
| dc.date.accessioned | 2025-08-25T08:32:38Z | |
| dc.date.available | 2025-08-25T08:32:38Z | |
| dc.date.issued | 2021-07 | |
| dc.description.abstract | Chemical industries often deal with hazardous chemicals, whereby when an accident occurs; it results in significant loss in terms of lives and properties. Quantitative risk analysis (QRA) is a series of techniques used in various industries to prevent any incidents by pre-investigating all possible incident initiating scenarios. In this study, the QRA model was developed on MATLAB, consisting of consequence analysis, frequency analysis, and individual risk (IR) calculation. The model requires user-defined inputs to obtain the parameters and constants data of the chemical analyzed and the scenario studied. The hazards that were included in this modelling were jet fire, pool fire, toxic dispersion, and vapor cloud explosion (VCE). Series of equations were used in consequence analysis to obtain the impact distances at high, medium, and low-level threat zones. Thermal radiation for pool fire, gas concentration for toxic dispersion, and overpressure for VCE were used as main consequences to identify the respective impact distances. Event trees were proposed for the frequency analysis of specific equipment. IR was then calculated to plot the risk contour, which is the final step of this risk assessment model. The obtained IR will be analyzed with the societal risk curves FN to determine the effect of risk on people in the surroundings. Case study was done with the model on MATLAB to obtain the impact distances which was then compared with ALOHA and BREEZE. The highest and lowest error percentage obtained between MATLAB model and ALOHA are 75 % and 1 %, while the highest and lowest error percentage obtained between MATLAB model and BREEZE are 37 % and 15 %. | |
| dc.identifier.uri | https://erepo.usm.my/handle/123456789/22469 | |
| dc.language.iso | en | |
| dc.title | Computer aidid quantitative risk assesment | |
| dc.type | Resource Types::text::report::technical report | |
| dspace.entity.type | Publication | |
| oairecerif.author.affiliation | Universiti Sains Malaysia |