Parametric design of pipe bridges: a case of automation and optimization in structural design
Parametric design has demonstrated in recent years its ability to revolutionize the construction world, especially in the design phase, where a large number of changes take place. In this context, a Grasshopper script originally developed by Baptiste Woerli, and later continued by Joel Wahlstein and...
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2023 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/397634 |
| Acceso en línea: | https://hdl.handle.net/2117/397634 |
| Access Level: | acceso abierto |
| Palabra clave: | Bridges--Design and construction Parametric modeling Model theory Grasshopper RFEM parametric design optimization pipe bridge Ponts--Disseny i construcció Models, Teoria dels Àrees temàtiques de la UPC::Enginyeria civil::Materials i estructures::Tipologies estructurals |
| Sumario: | Parametric design has demonstrated in recent years its ability to revolutionize the construction world, especially in the design phase, where a large number of changes take place. In this context, a Grasshopper script originally developed by Baptiste Woerli, and later continued by Joel Wahlstein and Andreas Granberg, regarding parametric design of pipe bridges in industry, is further developed. Therefore, the Grasshopper plug-in Parametric FEM Toolbox developed by Diego Apellániz is implemented in the script to export all data related to the pipe bridge to RFEM 5, carry out the corresponding finite element calculations there, and import the desired results back to Grasshopper automatically. In addition, a component able to perform the design of single foundations according to Eurocode and the Swedish national annex developed by Sweco, the company with which the thesis is carried out, is combined with the implementation of a multi-objective optimization process using the Wallacei X plug-in to determine the optimal dimensions of the foundations of the structure that minimize cost and CO2 emissions. The results extracted from the RFEM 5 implementation show that the data exchange with Grasshopper is successfully achieved, allowing the correct export of most of the options and alternatives offered by the script, with the exception only of the presence of different pipe bridge sections running in parallel, and the design of structural members, which are expected to be implemented in future studies. In the case of the foundation design optimization, the penalty functions defined and the absence of null values after the optimization process indicate that this implementation works correctly too. Therefore, it can be concluded that the main objectives of this work have been satisfactorily fulfilled, with both implementations being robust. |
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