The climate crisis has shifted priorities in all sectors. For structural engineers, improving performance, such as reducing emissions embodied in structural materials, can improve low-carbon building design. Parametric design can enhance current structural design methods by enabling designers to more readily explore the design space, the space of available design solutions, and optimize within it for single or multiple objectives. This exploration can reveal high-performance or optimal structural solutions that may otherwise have been overlooked. While many architects have started using parametric design methods in recent years, there are untapped opportunities for structural engineers to use such approaches to enhance collaborations with architects and play a more active role in the design process. This article presents both theoretical background and practical tips for structural engineers to implement parametric design in their work.
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Author Archives : Caitlin T. Mueller, Ph.D.
Caitlin Mueller is an Associate Professor at MIT in the Building Technology Program within the Architecture and Civil and Environmental Engineering departments. She directs the Digital Structures Research Group, whose work focuses on new computational methods for designing and constructing innovative structures in the built environment.
Engineering Habitats for the Moon and Mars
Several decades after the first space age, there is renewed interest in space exploration and specifically in future human habitation far beyond the Earth’s surface. NASA recently received funding with an ambitious target: to send a manned mission to Mars by the 2030s and allow for future human habitats and even cities. …
Technologies for 3D printing, or more broadly additive manufacturing, have proliferated in recent years, and have captured the public’s imagination as a revolutionary way to democratize small-scale, customized manufacturing for the DIY community. In the design of buildings and bridges, 3D printing has proven to be a valuable technique for creating intricately detailed scale models in a fraction of the time required by traditional methods. …
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