CAMBRIDGE, MA–Caitlin Mueller is an associate professor in the Building Technology Program at MIT, where she leads the Digital Structures research group.
Her goal is to employ machine learning to support the design process from both an architectural and engineering perspective.
“By creating software that generates design alternatives and simulates their performance, she hopes to qualitatively change how buildings are conceived and built,” reported MIT Spectrum. “A big part of that is encouraging architects and engineers to work together—every step of the way.”
In the traditional building process, a client hires an architect and provides a set of specifications—X square feet, X number of rooms, etc. After finalizing the design, the architect hires an engineer, who typically looks at the design and says the building can be constructed using X amount of steel, for example. There’s often little back and forth. Engineers generally don’t offer large-scale design suggestions in order to, for example, save a substantial amount of steel. As a result, buildings that look great can often prove expensive to build and operate, according to MIT Spectrum.
That is a wasted opportunity, MIT Spectrum reported Mueller as saying, arguing that engineers should be an integral part of the process from the beginning. The tools she creates make it easier for architects and engineers to work together to find design solutions and assess how changes can influence metrics ranging from the energy needed to heat a building to the cost of labor in construction.
Read on >>>> Source: Boston Real Estate Times MIT’s Caitlin Mueller uses digital tools to link architecture, engineering