Artificial-intelligence Based Multi-objective Optimisation for Concrete Incorporating Solid Wastes
The construction industry is a major contributor to carbon emissions and resource depletion. This thesis advances sustainable construction by integrating solid waste recycling, advanced construction materials, 3D concrete printing, machine learning, optimisation techniques, and life cycle assessment...
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| Format: | Thesis |
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Curtin University
2025
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| Online Access: | http://hdl.handle.net/20.500.11937/98102 |
| _version_ | 1848766360676466688 |
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| author | Wang, Yufei |
| author_facet | Wang, Yufei |
| author_sort | Wang, Yufei |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The construction industry is a major contributor to carbon emissions and resource depletion. This thesis advances sustainable construction by integrating solid waste recycling, advanced construction materials, 3D concrete printing, machine learning, optimisation techniques, and life cycle assessment. By developing predictive models, optimisation strategies, and environmental evaluations, this research enhances material efficiency and mitigates environmental impact. The findings provide a scientific foundation for transitioning towards resilient, sustainable, and circular construction practices. |
| first_indexed | 2025-11-14T11:49:55Z |
| format | Thesis |
| id | curtin-20.500.11937-98102 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:49:55Z |
| publishDate | 2025 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-981022025-07-17T03:43:30Z Artificial-intelligence Based Multi-objective Optimisation for Concrete Incorporating Solid Wastes Wang, Yufei The construction industry is a major contributor to carbon emissions and resource depletion. This thesis advances sustainable construction by integrating solid waste recycling, advanced construction materials, 3D concrete printing, machine learning, optimisation techniques, and life cycle assessment. By developing predictive models, optimisation strategies, and environmental evaluations, this research enhances material efficiency and mitigates environmental impact. The findings provide a scientific foundation for transitioning towards resilient, sustainable, and circular construction practices. 2025 Thesis http://hdl.handle.net/20.500.11937/98102 Curtin University restricted |
| spellingShingle | Wang, Yufei Artificial-intelligence Based Multi-objective Optimisation for Concrete Incorporating Solid Wastes |
| title | Artificial-intelligence Based Multi-objective Optimisation
for Concrete Incorporating Solid Wastes |
| title_full | Artificial-intelligence Based Multi-objective Optimisation
for Concrete Incorporating Solid Wastes |
| title_fullStr | Artificial-intelligence Based Multi-objective Optimisation
for Concrete Incorporating Solid Wastes |
| title_full_unstemmed | Artificial-intelligence Based Multi-objective Optimisation
for Concrete Incorporating Solid Wastes |
| title_short | Artificial-intelligence Based Multi-objective Optimisation
for Concrete Incorporating Solid Wastes |
| title_sort | artificial-intelligence based multi-objective optimisation
for concrete incorporating solid wastes |
| url | http://hdl.handle.net/20.500.11937/98102 |