Promoting Process Efficiency With Automation
The successes of digital practice have been significantly driven by automating traditional design, engineering, and construction processes. These automated processes are a key component of integrated digital practice and a key efficiency of building information modeling. These capabilities reduce the cost of manual work, decrease cycle time, allow more iteration, and enable optimization of the end product.
The DBL brings a number of distinct capabilities that create a unique environment for advancing automated design and construction practices. The lab’s partner program connects technology partners with professional members who have specific aspects of practice they seek to advance.
The lab’s focus on advanced computing research -- from geometry and parametric modeling to machine learning and data analytics -- brings a spectrum of the industry's leading expertise and resources to develop and implement strategies for automating the design and engineering of specific projects and systems. Automated design methods in turn support follow-on capabilities, including design optimization and data analysis. These capabilities in design and engineering automation are matched by its capacities in fabrication and construction automation.
The College of Design is heavily invested in providing the technical infrastructure and facilities for design, fabrication, and testing of physical building systems. This infrastructure is centered in the Digital Fabrication Lab, which provides more than 13,000 square feet of fabrication space and a spectrum of traditional as well as CNC and robotic capabilities that extend the DBL’s connected systems into physical fabrication, construction, and operations. Its capabilities include human/robotic interaction; advanced digitally empowered construction of building systems; new materials and building products testing; and capabilities for design and fabrication of connected micro-controller, sensor, and robot-controlled fabrication equipment and building systems.