id |
caadria2021_448 |
authors |
Koh, Seow Jin, Mok, Chiew Kai, Tan, Rachel and Chen, Edmund |
year |
2021 |
title |
Optimising Harbour Typology in the Form Finding Process using Computational Design: A case study of a Greenfield port facility |
doi |
https://doi.org/10.52842/conf.caadria.2021.2.619
|
source |
A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 619-628 |
summary |
The bulk of computational design strategies and research have been focused on issues related to architectural form and building systems. This is done by employing computational tools to optimise architectural forms, building performance and generally, improve quality of living. Many of these methodologies are based on the concept of form finding - varying geometric elements to generate and evaluate options to derive optimised solutions. However, beyond building designs, the concept of form finding can find its relevance in other design applications too such as engineering, landscape, and in our case, the design of ports, or more specifically harbour typology. In most building scenarios, the plot of land earmarked for development is typically selected beforehand, hence little exploration have been done to optimise land topology, when in fact the profile of land is the governing feature in most designs. For performance driven facilities like ports with high economic and political impact, there is value in optimizing topology to maximise throughput. Through the multi-disciplinary and collaborative effort of stakeholders and specialists, our project explored optimizing harbour topology via performance-based approach using computational design. The phenomenon, including impact and effects of trade-offs, are discussed and presented in this paper through a case study of a Greenfield port facility. |
keywords |
form finding; form optimisation; port masterplanning; harbour typology; computational design |
series |
CAADRIA |
email |
|
full text |
file.pdf (10,287,519 bytes) |
references |
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2022/06/07 07:51 |
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