Publicação
Development of a platform for building design, validation, and optimization of modules transportation
| Resumo: | In a world where each day is becoming more intertwined with technology, numerous companies strive to discover solutions for new project developments or enhance existing complex systems. Their aim is to reduce material wastage, energy consumption, labor dependency, project timelines, and overall costs. A recent trend in civil construction is to use pre-fabricated components such as walls, beams, columns, and other components. These components can be implemented in many different types of buildings and along with technology the system can save information about them, preventing risks during the construction, reducing costs for the companies, and improving the efficiency of the company as also being the producers of the components. The development of this API was carried out using the Python programming language, which facilitated rapid development. It leveraged the FastAPI framework, offering the flexibility to create diverse methods for validating structural and architectural regulations for buildings. The API also provides an estimate of the required pre-fabricated components for construction. Additionally, it incorporates optimization for cargo loading, a pivotal aspect of civil engineering. A genetic algorithm is employed to identify the optimal solution for fitting components within a container. This not only enhances delivery times but also reduces costs by avoiding unnecessary containers. As a comprehensive system designed for the market, this API includes endpoints for essential web app functionalities. It aims to prevent user errors and has been rigorously tested and approved by architects specialized in buildings featuring pre-fabricated components. Any identified errors have already been rectified. |
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| Autores principais: | Italiano, Enzo Dornelles |
| Assunto: | Modular construction Cargo loading optimization Civil engineering Hybrid genetic algorithm |
| Ano: | 2023 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Instituto Politécnico de Bragança |
| Idioma: | inglês |
| Origem: | Biblioteca Digital do IPB |
| Resumo: | In a world where each day is becoming more intertwined with technology, numerous companies strive to discover solutions for new project developments or enhance existing complex systems. Their aim is to reduce material wastage, energy consumption, labor dependency, project timelines, and overall costs. A recent trend in civil construction is to use pre-fabricated components such as walls, beams, columns, and other components. These components can be implemented in many different types of buildings and along with technology the system can save information about them, preventing risks during the construction, reducing costs for the companies, and improving the efficiency of the company as also being the producers of the components. The development of this API was carried out using the Python programming language, which facilitated rapid development. It leveraged the FastAPI framework, offering the flexibility to create diverse methods for validating structural and architectural regulations for buildings. The API also provides an estimate of the required pre-fabricated components for construction. Additionally, it incorporates optimization for cargo loading, a pivotal aspect of civil engineering. A genetic algorithm is employed to identify the optimal solution for fitting components within a container. This not only enhances delivery times but also reduces costs by avoiding unnecessary containers. As a comprehensive system designed for the market, this API includes endpoints for essential web app functionalities. It aims to prevent user errors and has been rigorously tested and approved by architects specialized in buildings featuring pre-fabricated components. Any identified errors have already been rectified. |
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