Module+: Towards Affordable and Qualitative Student Housing

This Master Thesis is an attempt to address the lack of a sufficient number of affordable and qualitative student housing by creating an experimental, universal design strategy called MODULE+, combining computational design and modular architecture. The strategy consists of three main elements - individually designed flexible timber modules, an...

Deep Generative Design: A Deep Learning Framework for Optimized Spatial Truss Structures with Stock Constraints

Energy use, CO2 emissions, and waste production are all significant causes of environmental issues. The building sector is a major contributor to these problems, specifically the manufacturing of (structural) steel elements. Application of reuse and/or remanufacturing, as done in a circular economy, will reduce these effects. Therefore, these...

Deep Generative Designs: A Deep Learning Framework for Optimized Shell Structures

In an urban context that needs to be constantly adapted to global crises, population movements, climate change and economic crises, designers and engineers strive to configure solutions that respond to multiple criteria. Within this framework, the concept of generative design is gaining more and more ground in the construction field, allowing...