Abstract

Abstract: One of the basic works which is frequently done in any landscape project is designing a paving pattern. It sounds easy, but to derive a pattern with a set of design goals, requires various hit and trails to get into the final one. There are lot of parameters which we have to cover based on the requirements and context of the site. For Example, Choosing the right proportion of colors, Right Proportion of the material types, Right Sizes of the paving material, Various arrangements and possibility of pattern design, testing various arrangements using different materials of various shapes and sizes and the list goes on. To do all those things manually is a very complex and impossible job, and even if it’s possible the time invested is too high and there is a limitation on the number of design options we can test to achieve our design goal with regular tools. In this article with the help of a test example, we will see how we can solve the above issue by using generative design process, which is very iterative, where we create a parametric model first which has a set of design goals, then using the same data-set we can use optimization engine to go through all alternatives and gives the best filtered results in no time

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