Together with Digital Blue Foam we lead a workshop at DigitalFUTURES 2022 and participated in the High-Performance Computing Innvocation Challenge hosted by National Supercomputing Centre (NSCC) in Singapore.

The building industry urgently needs to transition to carbon sequestering structural materials to meet UN climate targets. However, the time-intensive nature of structural design creates a significant bottleneck; In early design stages, low budgets and sharp deadlines mean engineers will likely stick to tried-and-tested, but environmentally harmful, options like steel and concrete. As a result, to speed-up adoption of more sustainable structural materials, like mass timber, early-stage structural design must be re-imagined. We present a novel data-driven structural design process which leverages synthetic data generation, and machine learning to meet this need. We show how this new process informs the development of a user-friendly design tool which allows project stakeholders to quickly generate and compare structural design options and scenarios with respect to cost, embodied carbon and sequestered carbon.

Test the Prototoype

Generate and compare structural design options and scenarios with respect to cost, embodied carbon and sequestered carbon.

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