Saturday 6 September 2014

Architect merges virtual reality with big data

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Karen Kensek thinks of buildings as living organisms, self-adjusting and self-correcting, as they transmit a constant stream of data about themselves. Unlike most living organisms, however, many of a building’s attributes can be predicted before construction. Kensek, assistant professor at the USC School of Architecture, is a pioneer in these predictions, using computer applications to model a building’s features. It’s a career that started when she learned programming during her undergraduate days at the Massachusetts Institute of Technology. A summer research project at MIT on buildings and daylight led her to envision the future of digital tools in architecture. She went on to earn a master’s degree in architecture at the University of California, Berkeley, where she then taught in newly developed computer application courses and in computer-aided design (CAD) studios. Always an early adopter, she ushered in the successor to CAD: a system called building information modeling (BIM), which provides live views of three-dimensional virtual models that are rich with data. The benefits of BIM BIM used with analysis software can predict a building’s energy consumption, how structural components will perform, warn of clashes between mechanical systems, estimate costs and oversee a completed building’s maintenance, among other tasks. As

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