Framework of Variables Impacting Form Generation in Parametric Architecture Using Computational Design Tools (Rhino-Grasshopper)

Ayoub, Shady Adel; El- Attar, Sherif M.Sabry; Shaqoor, Eman; Farag, Mamdoh Ahmed

doi:10.21608/jesaun.2025.387981.1525

Framework of Variables Impacting Form Generation in Parametric Architecture Using Computational Design Tools (Rhino-Grasshopper)

Document Type : Case Study

Authors

¹ Architecture department, Fayoum University, Faculty of Engineering, Egypt. Architecture Department, Faculty of Engineering, Nahda University (NUB), Beni Suef, Egypt

² Professor of Architecture, Architecture Department, Fayoum, University,Egypt

³ Assistant Professor of Architecture ,Architecture Department Nahda University ,Bani suef ,Egypt

⁴ Doctor of Architecture, Architecture Department, Fayoum University, Egypt

10.21608/jesaun.2025.387981.1525

Abstract

There are many variables that, in turn, affect the formation in architecture and architectural form, and there are various trends with different bases for generating the form. The study aims to formulate a matrix containing many variables for parametric form generation. The research methodology is divided into three approaches: the first approach is a literature review, the second approach is an analysis, and the last one is a case study. The matrix contains architectural style, formal characteristics, mathematical parameters, parametric tools, generation method, and application using Rhino/Grasshopper. The process of designing a building's exterior begins with identifying influencing factors, such as spatial context, programming needs, and parametric variables, followed by classifying and describing parameters, including geometric dimensions and their roles. Possible values for each parameter are determined to set design boundaries. Parametric tools like Rhino and Grasshopper are then integrated to facilitate modeling, simulation, and iterative exploration of design alternatives. While performance simulations evaluate factors like energy efficiency and thermal comfort. The design undergoes iterative improvements until it meets the project's specific goals and requirements, ensuring a systematic and efficient approach to achieving an optimal exterior design. The conclusion is that the proposed matrix can evaluate the generated forms to select a more suitable form based on Height, Number of Floors, Number of Faces, Bending Angle, and Rotation Angle, according to the matrix variables.

Keywords