Load Prediction Model of Accidental Hydrogen Explosion
| dc.contributor.author | Hu, Qingchun | |
| dc.contributor.supervisor | Hong Hao | en_US |
| dc.contributor.supervisor | Xihong Zhang | en_US |
| dc.date.accessioned | 2025-09-26T04:32:21Z | |
| dc.date.available | 2025-09-26T04:32:21Z | |
| dc.date.issued | 2025 | en_US |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/98570 | |
| dc.description.abstract |
This thesis investigates hydrogen explosion hazards and develops predictive models to improve safety assessment and structural resilience. A combination of CFD simulations, machine learning, and analytical methods is used to estimate key blast parameters with high accuracy. The study also proposes a novel model for liquid hydrogen BLEVE scenarios. These contributions support safer hydrogen infrastructure design and risk mitigation, facilitating the broader adoption of hydrogen as a clean energy carrier. | en_US |
| dc.publisher | Curtin University | en_US |
| dc.title | Load Prediction Model of Accidental Hydrogen Explosion | en_US |
| dc.type | Thesis | en_US |
| dcterms.educationLevel | PhD | en_US |
| curtin.department | School of Civil and Mechanical Engineering (CME) | en_US |
| curtin.accessStatus | Fulltext not available | en_US |
| curtin.faculty | Science and Engineering | en_US |
| curtin.contributor.orcid | Hu, Qingchun [0000-0001-6725-330X] | en_US |
| dc.date.embargoEnd | 2027-09-08 |