Computational Design on Modular Construction:
Automated system to generate modular building floor plans from textual descriptions to BIM model
Hanyu (Xue Zheng)
Wednesday, 11 September 2024
14:00–15:00
B38 Lenton Firs
Abstract:
This presentation is my year 1 progression review. It covers my first-year PhD research on computational design in modular construction, with a focus on developing an automated system for generating modular building floor plans from textual descriptions. The research is driven by the need for greater efficiency and smarter design processes in architecture, inspired by my professional experiences as an architectural designer.
The presentation begins with a systematic review of existing literature, exploring the integration of computational design methods—such as generative and parametric design—with modular construction techniques. Key challenges in the field are identified, including the need for improved interoperability, automation, and structural optimization.
The core of the presentation discusses the development of an innovative system that utilizes Natural Language Processing (NLP) and Graph Neural Networks (GNNs) to translate textual inputs into optimized building layouts. This system aims to streamline the design process, enhance stakeholder involvement, and address critical aspects such as sustainability, cost-efficiency, and constructability. By automating the generation of modular floor plans, this research contributes to advancing the design and construction of modular buildings, ultimately reducing the workload on architects and improving overall design efficiency.
Bio:
Hanyu (Xue Zheng) is a first-year PhD student at the University of Nottingham, where she is part of the Architecture, Culture, and Tectonics research group. Prior to her PhD, Hanyu worked for four years as an architectural designer at HKS and GAD, specializing in the design of commercial and residential buildings. Alongside her professional career, she also founded her own interior design studio, focusing on crafting unique interior spaces for both residential and commercial projects. Her research interests are a natural extension of her industry experience, fuelling her passion for developing smarter, more efficient architectural design strategies.