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Computational design is a field that involves the use of computer algorithms, simulations, and data analysis to support and enhance the design process. It enables designers to generate, explore, visualise, and store vast design spaces, find better solutions to complex design problems, and make informed decisions based on data-driven insights. We use computational design to improve the efficiency, accuracy, and effectiveness of the design process, and to deliver optimal results for our clients, communities and the environment.
This use of the latest technology enables our teams to manage a growing number of client requirements – geotechnical details, sunlight levels, materials costs, commercial goals, almost anything measurable – and rapidly explore thousands of relevant design outcomes. Computational design helps us to produce more robust solutions, de-risking the decision-making process, leading to the best possible designs for our clients and the planet.
How computational design supports you
Across our industry, the new mantra is that ‘form follows sustainability goals’ – but this necessitates a new approach to engineering. We need to be proactive and provide clients and collaborators with a validated framework of sustainable options to inform and shape the initial brief, well before the design direction is selected.
Multi-disciplinary computational design platforms enable us to generate options, perform analysis, employ ‘best fit’ solution algorithms, extract and store relevant data, and visualise results in a compelling, informative, and compelling way.
For clients like municipal authorities or local government planners, this is a powerful way to balance competing demands such as environmental criteria and plot densities. For investors and developers, these tools and techniques help reveal the business potential of land acquisitions. For architects, they are an effective way to explore the implications of different design directions.
How we help you
Overall, computational design provides designers with powerful tools and methods for addressing the challenges of modern design and engineering, enabling them to create more effective, efficient and sustainable solutions.
Quantifiably better designs
Using computational design we are able to explore the whole design space regardless of size and complexity. This allows our clients to make informed data-driven decisions during the design process considering rules, regulations and requirements. We embrace complexity and analysis-based data to design quantifiably better.
Once projects progress new challenges and questions are likely to arise. Through flexibility and adaptability, we can address these challenges and de-risk projects.
Tools to tackle big issues
Alongside the use of standard industry tools, we develop our own software to bring new rigour and creativity to client challenges. This is our latest generative design tool. Watch the video to learn more:
