What is Computational Design?
Computational Design. Image Source: Parametricarchitecture.com
Associating computational strategies in design projects is termed computational design. Designers have traditionally relied on intuition and experience to solve design problems, but computational design aims to improve this process by encoding design decisions using a computer language. The goal is not necessarily to document the final result but the steps required to achieve that result.
Computational design environments depend on visual programming rather than traditional text-based programming. In visual programming, you build a program graphically instead of writing code. The output from one node is connected to the input of another node. A program or "graph" flows from node to node along with the connector's network. The result is a graphic representation of the steps required to achieve the final design.
Why is Computational Design Important?
Computational design can have a substantial impact on digital products, sensors, actuators, high-speed processors, and cloud computing including all the elements that bring amazing benefits to everyday life.
The iPhone 11 camera integrates artificial intelligence into every image, allowing users to take great pictures even in dark places or with unstable hands. When the user takes a picture, the camera takes eight pictures and compares and combines each to get the best result. This process was called "deep fusion", Phil Schiller, Apple's senior vice president of worldwide marketing, called it "computational photography/ crazy science". This process is not autofocus but a combination of processor (A13 Bionic) and machine learning technology that can make all other camera makers obsolete.
Computing is dramatically changing how digital products react to human interactions. Previously, designers managed feedback related to latency and draft time. Now they have an immediate answer. Humans are accustomed to thinking linearly, but machines are designed to work exponentially. It works on different scales without changing performance. This repetition and scale allow designers to make a broader impact on digital products.
In his book, Manda discovers that machines are also "alive”, can sense the world, and respond to given stimuli like humans. IoT technology allows devices to understand the world around them, but artificial intelligence means that machines react and take certain actions. In the past, computers had to be programmed to respond to something, but nowadays, machine learning allows computers to "learn" through observation, just like humans do.
Benefits of Computational Design
Computational design is a broad term that includes many activities, from design generation to task automation. A common thread is the use of visual programming tools.
There are five ways you can benefit from computational design.
1) Varied Design Options
By encoding design rules in a computational framework, you can use those rules to generate hundreds, if not thousands, of options very easily. In addition, each option can be evaluated against specific criteria to determine the best solution. We're not just talking about twist towers and creating quirky geometry. You can easily create a tool to generate a toilet design based on a set of four walls. Let's face it; most toilets are pretty similar. By coding your company's default theme into your visual program, you can quickly generate a set of options that meet your company's criteria. You can then use your time on more interesting parts of the building.
2) Data Management
Just as software companies want us to do all the work with their software, we need to use the most appropriate tools for the task (and are often preferred). Unfortunately, this means transferring data from one format to another. Also, not all softwares work together, so you often need to export your data to Excel. Computational design tools make this process more manageable. For example, you can use Dynamo to create a two-way link to your Revit model and export all Revit room data to Excel. Once this data is saved in Excel, you can modify it and import it back into your model or use it to create a project dashboard. All of this can be achieved with a fairly simple dynamo diagram. If you need to sync data from PostgreSQL to Snowflake, for example, you'll need to employ migration or integration tools. They guarantee smooth ELT processes, facilitating efficient data transfer and synchronization between databases.
3) Manage Complex Repetitive Tasks
The secret of Working Smarter. Image Source: Archdaily.com
Much of what we can see from computational design involves complex geometries and advanced design. However, these tools can do much more. They work with software APIs or application programming interfaces, most computational design tools can automate tedious tasks such as renaming and copying elements and views. In fact, many of the tools you create for the ArchSmarter Toolbox can be duplicated in Dynamo. Dynamo provides an easier way to access the Revit API. This is one of the biggest promises of computer design. The ability to create your own tools that work the way you want is the best way to work smarter, not harder.
4) Simulate Building Performance
How do you know that your design works the way you imagine? You can wait for the building to be built or test it when it's much easier (and cheaper) to make changes during the design phase. Computational design tools facilitate the simulation of building performance during the design process. Want to know how much sunlight is expected on a partially cloudy day in March? Create a tool to measure this. Simulation data is not a substitute for real-world data, but it does provide a way to evaluate your design based on similar criteria. The quicker you can determine which strategy is measurable better than the others, the longer it takes to perform a detailed simulation with that optimized design. Computational design tools allow you to make that decision not only at the end of the process but as your plan progresses.
5) Algorithm-Based Design
Finally, computational design needs to be considered logically and in order. Most architects rely on intuition and creativity to solve problems. This kind of thinking does not always fit into the logical process of the left brain. But what if you could encode that intuition? You can take a look at each step and understand why it works. Even better, you can reuse this design logic and improve it over time. Use the computer-aided design process to code your design. Each step in the procedure is a set of instructions that can be evaluated, revised, and improved. Similarly, each step requires specific parameters. By reviewing each step of the design problem and reviewing all the inputs and outputs, you can effectively create a process that you can understand and repeat.
How Computational Design Will Affect the Future of Design
In the past, designing anything from a building to a piece of furniture was a lengthy and painstaking process that required hours of work by skilled craftsmen. However, with the advent of computational design, that is all beginning to change. Computational design can involve anything from generating 3D models to fabricating finished products. Thanks to computational design, the future of design are poised to be faster, easier, and more efficient than ever before.
One of the most important applications of computational design is in the field of architecture. In the past, architects would have to spend hours drafting plans by hand or using complicated software programs. However, with computational design, they can now create 3D models with ease. This not only saves time but also allows for more accurate designs. As a result, we are likely to see an increase in the popularity of computer-aided design in the years to come.
In addition to its applications in architecture, computational design is also starting to revolutionize the world of product design. In the past, designing a new product could take months or even years. However, with computational design, it is now possible to create prototypes quickly and test them. One of the challenges in Computational design is choosing the right tool. CAD software is one of the most important tools one can use, however, getting the one that is easy to use and doesn’t take much time to learn is a challenge, thanks to SelfCAD.
SelfCAD is a scene-based computational design tool that enables users to create and edit 3D models in a three-dimensional environment. Unlike other CAD tools, which tend to be focused on individual objects, SelfCAD allows users to work with entire scenes. This makes it ideal for designing complex structures or for exploring different design options. In addition, SelfCAD has a number of powerful features that make it unique among CAD tools. For example, its real-time rendering engine enables users to see their designs come to life as they are working on them. This allows for a much more intuitive and responsive design process. Additionally,
SelfCAD's use of subdivision surfaces gives it an edge in terms of modeling organic shapes. Finally, its built-in texture and the material system allow for a wide range of material and lighting options, giving users the ability to create truly realistic renders. All of these factors combine to make SelfCAD the best tool for computational design.
Conclusion
Computational design tools provide an easy way to harness the power of computation in the design process without learning how to write code. These tools allow architects and designers to create their own means. If you want to take your design skills to another level, you can learn 3D modeling software like SelfCAD.
Enjoy powerful modeling, rendering, and 3D printing tools without the steep learning curve.
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