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MEGA | Parametric Design

In this page you can find tutorials regarding parametric design approaches, which take advantage of the potential provided by existing software, such as Rhino and Grasshopper. These can help you to investigate a larger design space for your project. Additionally, a parametric model can be later connected directly to an optimization solver in to order to find the optimal parameter values according to the project goals.

 

Content

> Introductory material (Refreshing knowledge)

> Digital Sketching

> Informed Computational Sketching

> Parametric design using Machine Learning

> Other Useful Links

> Introductory material (Refreshing knowledge)

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> Related Tutorials

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- Rhino introduction

- Rhino Curve based modelling

- Rhino Surface Editing

- Grasshopper tutorials overview

- Revit tutorials overview

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> Digital Sketching

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> Related Tutorials

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- Building a highrise with Grasshopper

- Quick panelizing of façade

> Informed Computational Sketching

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> Related Tutorials

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- Informed Computational Sketching (Friso Gouwetor)

> Parametric Design using Machine Learning

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> Related Tutorials

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- Clustering with K-means in Grasshopper (Lunchbox) | Basic Tools (Sebastian Stripp)

- Clustering with K-means in Grasshopper (Lunchbox) | Facade panels (Sebastian Stripp)

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> Related Grasshopper plug-ins

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- Pug

- Lunchbox

- Dodo

- Owl

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> Related MSc Theses

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- Deep Generative Designs: A Deep Learning Framework for Optimized Shell Structures | Student: Stella Pavlidou

- Integrated bio-inspired design by AI | Student: Namrata Baruah

- Humble Giants: Computational Intelligence for Designing More Sustainable High-rise Buildings using Surrogate Models | Student: Fredy Fortich Mora 

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> Featured External Tutorials

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- LunchboxML Tutorials Repository

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> Other references

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> Design exploration of quantitative performance and geometry typology for indoor arena based on self-organizing map and multi-layered perceptron neural network (Pan, W., Sun, Y., Turrin, M., Louter, C., Sariyildiz, S. (2020))

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> Application of surrogate models for building envelope design exploration and optimization (Yang, D., Sun, Y., Sileryte, R., D’Aquilio, A., Turrin, M. (2016))

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> Impacts of problem scale and sampling strategy on surrogate model accuracy: An application of surrogate-based optimization in building design (Yang, D., Sun, Y., Di Stefano, D., Turrin, M., Sariyildiz, S. (2016)

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> A Methodology for daylight optimisation of high-rise buildings in the dense urban district using overhang length and glazing type variables with surrogate modelling (Ekici, B., Kazanasmaz, T., Turrin, M., Tasgetiren, M.F., Sariyildiz, I.S. (2019).

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> Other Useful Links

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> Grasshopper

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- How to organize efficiently your Grasshopper script (Friso Gouwetor)

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