The building design and engineering industries are changing very fast. Tools like Grasshopper for Rhino and Revit or any other open source software make it easier than ever for architects, engineers and contractors to leverage the power of coding to automate tasks and analyze data. How Computational Design can help design better, save time and reduce project costs?
Benefits of Computational Design?
Implementing computational design methods requires a cultural shift and extensive programming on the frontend, but once a design firm overcomes the initial learning curve, they will be able to:
- Design Better Solutions. Designers can explore hundreds of design options rather than just the few they would produce with manual drafting. They can also take advantage of the unique design solutions generated that veer away from conventional thinking. Design algorithms can be refined to continuously improve outcomes.
- Automate Repetitive Tasks. Updating a dimension or renaming a surface is simple when it just applies to one element, but it becomes tedious and profit shrinking when necessary across hundreds. With computational design tools connected to modeling software, a designer can create an algorithm that modifies the entire model in real-time.
- Improve Productivity. Once firm-specific design processes are programmed into a computational tool, designers can essentially outsource design tasks to these programs. With computational design, architects can design faster with fewer iterations—improving productivity and accomplishing more with fewer resources.
- Mitigate Design Risks. Iterative design processes and easy-to-use visual programming tools enable a designer to improve design quality above human capabilities. Artificial intelligence can be leveraged to test a design under multiple scenarios. Error-free designs reduce risk and liability for all parties involved.
- Reduce Project Costs. Shifting tedious design tasks and design thinking over to computational design tools reduces the level of staff needed for a project. Additionally, algorithmically-produced designs will have fewer errors, reducing the likelihood of field design changes. With fewer resources and changes, projects costs will shrink.
Professional Computational design services
It is clear that the benefits of parametric and data-driven design are significant, automating traditionally repetitive workflows and enabling engineers to instead focus more time and attention on delivering added value on a project, whether in terms of design optimisation or a structure’s geometric complexity.
Let our team solve your challenges. We have experience to make your design process easier and better.