Computational Design
New perspectives in integrated design with BIM
Lila PanahiKazemi
Albert Achammer
The importance of computational design (CD) in increasing the speed, precision, and sustainability of planning processes is growing constantly. CD supports integrated design with BIM by using advanced algorithms and data that boost cooperation, efficiency, and innovation. The method enables us to develop design solutions that exploit the full potential of integrated design.
Why computational design?
We have been leaders in the use of BIM (Building Information Modeling) for more than a decade and we are constantly seeking to develop our processes further with the help of new technologies. The term computational design (CD) refers to a series of methods that automate, analyze, and optimize planning processes by using algorithms, data, or other computer-supported tools. The potential of integrated design can be fully exhausted and expanded with BIM and CD, especially as a means of promoting sustainability and interdisciplinary cooperation. These aspects are the focus of the corporate values and strategic orientation of ATP.
Computational Design is a broader term that includes Parametric design, Generative design, Digital Fabrication, Data-Driven Design, Performance optimization and the integration of Machine Learning and AI. in essence, it harnesses the power of programming and algorithms to streamline AEC Processes.
Core aspects of CD in integrated design
Automation: CD uses algorithms to automate repetitive tasks. This speeds up processes and minimizes human error so that teams can focus on the more important and creative aspects of projects.
Optimization: The objective is to find optimal solutions to complex problems by automatically running through many possible designs on the basis of defined criteria and limitations.
Simulation: The use of digital models enables CD to employ simulations that can predict how designs will behave under certain conditions, which leads to well-founded design decisions.
Interdisciplinarity: CD supports the interdisciplinary use of integrated design in the shape of jointly usable, interactive digital models that make it easier for software to cooperate and exchange operating information.
Integration of computational design into integrated design with BIM
Thanks to many years of working cooperatively within and between offices, ATP has a perfect foundation for the internal development of the necessary algorithms for CD. In addition to this, the design company has organized its employees into specialized disciplinary groups, consisting of five teams, which focus on different subjects, sectors, and projects. Their role is to identify repetitive processes and to develop tools that automate these. In this way, ATP has been able to develop solutions that can, for example, draw up office facades for design studies, estimate the required number of underground parking spaces, or automatically generate office bathrooms.
Our vision is to establish computational design as an integral part of BIM. The intelligent linking of all data with geometrical and functional information opens up a range of possibilities for comprehensively optimizing our design process in line with our ATP Green Deal.
Albert Achammer
Architect ETH, Partner, Managing Director in Hamburg
Computational design as an integral component in the design process
Within a CAD (Computer Aided Design) environment, computational design also enables us to access analytical and simulation data. This allows, for example, the process of generating a facade and the related information to be parametrized and linked with the geometrical volume of a building. If the plan or volume is changed, the overall integrated design is automatically updated, leading, in turn, to a reduction in the error rate. In addition to this, a wide range of facade parameters can be linked to environmentally-related, structural, or other data as a means of simplifying adaptation and individual design.
Automation, the development of variants, and the delivery of precise results in the early design phase optimize our processes. Continuous quality assurance vis-à-vis local regulations and norms support universally sustainable and efficient design.
Lila Panahi Kazemi, architect, computational design lead in Hamburg
Intelligent networking for innovative, sustainable solutions
ATP can turn to a broad portfolio and a large team in order to optimally employ computational design for its own purposes. Besides integrating members of the CD team into projects, the integrated design office organizes regular CD hackathons. Here, experts from a range of disciplines get together to develop intelligent solutions to complex tasks. In addition to this, the hackathons encourage networking and knowledge sharing, independent of ongoing project work. CD offers ATP’s designers the opportunity to use what they have in order to develop what they want. The future of integrated design is becoming fascinating!
The advantages of computational design at a glance
Efficiency optimization: more precise design processes save resources
Better bases for taking decisions: more targeted variants of sustainable and energy-efficient solutions can be created in the early design phases
Flexibility: simple adaptation of designs in line with altered requirements
Cost efficiency: less susceptibility to errors and optimized use of materials
Innovative solutions: facilitation of more complex design concepts
More collaboration: easier cooperation and more participation by the various disciplines thanks to clear visualizations and models
Sustainability: better resource efficiency and lower environmental impact
