Computational design in Architecture
The development of computational design may be attributed to modernist thinking and technological breakthroughs around the end of the 1960s. Computational design processes are now widely employed in architecture, in part because of computer science concepts developed in the 1950s across research facilities in the US and the UK. The use of computational design in architecture started in the 1970s.
According to Mitchell’s definition from the late 1970s, the gadgets that can generate workable solutions are generative design systems. It is a principle of resolving complex design difficulties and producing sophisticated shapes and patterns from a basic specification that we seldom ever come across in traditional problem-solving approaches. By using the capabilities of computers and algorithms, computational design addresses the flaws in our current design methodology.
Image reference : http://www.wooddesignandbuilding.com/computational-design-timber/
A parametric construction built of wood is seen in the image above.
Computational design gives architects the ability to generate a wide range of design options using a set of specified parameters or constraints. By using algorithms and iterative techniques, architects may quickly evaluate design decisions and investigate a large range of options. This approach promotes innovation, creativity, and efficiency in the design process.
Creating digital models that are influenced by parameters and connections between various design aspects is known as parametric modelling. Designers may rapidly experiment with variants and iterations thanks to the automated updating and propagation of changes to a single parameter throughout the whole model. This adaptability enables architects to optimize designs in accordance with many standards, including functionality, aesthetics, and sustainability.
Performance Analysis: With the use of computational design tools, architects are able to model and assess a variety of building performance factors, such as structural integrity, energy efficiency, day lighting, acoustics, and thermal comfort. Architects may make wise judgements to raise the general quality and sustainability of the project by including performance analysis early in the design process.
Digital manufacturing techniques like computer numerical control (CNC) milling, laser cutting, and 3D printing may all be utilised in combination with computational design. The conversion of design information into machine-readable forms enables the precise fabrication of complex architectural components. This link between design and manufacture promotes the development of intricate geometries and specialist solutions.
The majority of platforms for computational design use visual programming. Visual programming makes it possible to put together programmes graphically and unquestionably has an impact on the development of computational designers. Without becoming distracted by complex programming, architects and designers can concentrate on the things they truly like developing. Once more, the computational design enables us to consider more options, automate laborious and time-consuming tasks, work together, and reduce overall seeming complexity.
To conclude, computational design in architecture provides architects with state-of-the-art instruments and methods to quicken the design process, research fresh concepts, enhance cooperation, and create durable and efficient buildings. Throughout the course of an architectural structure, it improves traditional design techniques and permits more complete and informed decision-making.
Dovetail, About the Author /. Computational Design with Timber – Wood Design & Building. www.wooddesignandbuilding.com/computational-design-timber/. Accessed 23 May 2023.
A book : Material Computation, Guest – Edited by Achim Menges.