Buildings become unattractive in the transition from digital design to physical building.
No one sets out to make an ugly building. And yet, this is often the result - a walk of any size in any place shows building after building that did not start where it seems to have ended up. By conforming to mediocre construction standards and allowing the tools of the digital age to limit the range of what is possible, the industry has created an environment where what is designed is seldom what is built. Indeed, our first experience of a new design is often a digital rendering or a quick sketch; image manipulation notwithstanding, this is the nicest version of a design we will ever see. In other words, buildings become unattractive in the transition from digital design to physical building.
At VIATechnik, we are changing this by using digital workflows that integrate design practices and construction methods. These workflows are critical to better buildings - a recent report from Dodge Data + Analytics shows that 76% of respondents believe an integrated workflow will have a “high or very high” impact on realizing design intent. From streamlining the design-fabrication-construction process to automation and generative design, VIATechnik, in partnership with Dassault Systèmes, is creating more efficient, more intelligent 3D models that carefully balance the realities of construction with the possibilities of digital design. This is how we will achieve buildings that are both beautiful and functional. In the words of Marcel Dassault, the Founder of Dassault Systèmes: “Ce qui est beau vole bien” or “If it is beautiful, it will fly well.”
Rapid Design to Fabrication Models
Design model in Rhino 3D into Assembly Design app Source: Rhino 3D and 3DExperience.
Design never wants to stop and construction always wants to start right away - between these two competing ideas is where compromise takes root. As lead times and other construction realities bear down on the design process, the answer is almost always to compromise the design intent. To avoid this, we must directly connect design and fabrication using an intelligent digital workflow known as Model-Based Engineering, in which the design model is the source of all data pertinent to fabrication. In simple terms, it ties together previously disparate digital modeling and fabrication platforms with one language, ensuring the synchronization of geometry, design assumptions, tolerances, and other parameters throughout the versioning process. For example, by importing a faceted glass facade into CATIA from another 3D modeling program, key information can be extracted, such as the size and location of panels. This is then converted to geometric data points that yield a coordination location as well as the number of sides of a panel.
A highly detailed engineering template is then created to link the design model and the fabrication data, and since CATIA returns an ordered list of parts with a unique identifier, each part can be traced back to its origin in the design model. This link allows the level of development of a model to be increased at any time - the template will adjust and update automatically. There is no longer a need to hand-off the model to the fabricator for the more detailed work, where there is a risk of the design intent getting lost. By creating such a flexible, continuous and more collaborative system, we can avoid a “pencils down” approach to design in order to achieve the best design possible.
Bottom of Pipe data is computed in Revit and made available in the Navisworks model Source: Revit and Navisworks.
Generative design mimics the evolutionary processes and patterns found in the natural world, creating novel, optimized solutions based on a set of input parameters and prioritized design goals. These algorithms can be used to produce complex building forms with optimized modular pieces, demonstrated here by Nicolas Senemaud of Dassault Systèmes. In this example a tower is populated with a series of modular framed openings. The designer controls the overall form, size and number of windows, their orientation, and other parameters, while the algorithm populates the model. Combining this with our rapid fabrication example, one can imagine using this parametric model to create a continuously updating engineering template for prefabrication of these panels, and the ability to trace each module to its precise location in the model.
Modular tower design with parameters driving the design Source: 3DExperience.
Taking generative design a step further, these modular panels can be optimized based on other parameters such as cost, ability to be transported by truck, solar exposure; the panels can even be used to drive the form by minimizing the number of curved pieces. In this way, we can use the tools of the digital design age to expand the possibilities of tried-and-true construction techniques, instead of allowing those techniques to limit our imagination.
Now that the age of drafting has ended and building designs are computer generated, it is clear that the capabilities of a software can augment or severely limit the realization of a design, realizing or crippling the possibilities of what can be built. This results in leaky buildings, due to poor building layout and fabrication practices, with little aesthetic value, due to cookie-cutter or sub-par designs limited by the software that was used to generate them, as the accepted standard. VIATechnik strives to balance the realities of construction with digital workflows that bring the design process up to speed. The measure of success is the creation of intelligent 3D models; the reward is a design that is actually constructed into a beautiful building - one without compromise.