Publications
Generative DfX in high-rise modular building:
An expert-augmented cascade graph learning
and optimisation approach
Publications
1. Built performance
Zhou, Q., & Xue, F. *(2023). Pushing the boundaries of modular-integrated construction: A symmetric skeleton grammar-based multi-objective optimization of passive design for energy savings and daylight autonomy. Energy and Buildings, 296, 113417. https://doi.org/10.1016/j.enbuild.2023.113417
Peng, Z., Lu, W.*, Hao, T., Tang, X., Huang, J., & Webster, C. (2023). Cost-aware generative design for urban ‘cool spots’: A Random Forest-Principal Component Analysis-augmented combinatorial optimization approach. Energy and Buildings, 295, 113317. (Also supported by the theme-based project) https://doi.org/10.1016/j.enbuild.2023.113317
Lou, J., Wang, B., Yuan, Z., & Lu, W.* (2023). Willingness to pay for well-being housing attributes driven by design layout: Evidence from Hong Kong. Building and Environment, 251, 111227. https://doi.org/10.1016/j.buildenv.2024.111227
Xu, Z., Lu, W. S., Peng, Z., Huang, J., Eric, S. (2024). Exploring floor plan design to achieve indoor thermal comfort in public housing: An integrated heat graph and machine learning approach. Building and Environment. Under Review.
2. Morphology and styles
Zhang, Y., Peng, Z., Lu, W.*, & Webster, C. (2024). Profit-sensitive generative design for high-rise building morphologies: innovations in 3D form generation and cost-revenue assessment. Building Research & Information. https://doi.org/10.1080/09613218.2024.2428804
Peng, Z., Zhang, Y., Lu, W., & Li, X. (2024). Data-driven generative contextual design model for building morphology in dense metropolitan areas. Automation in Construction, 168, 105820. https://doi.org/10.1016/j.autcon.2024.105820
3. Layout and spatial configuration
Lin, X., Chen, J., Lu, W.*, & Guo, H. (2024). An edge-weighted graph triumvirate to represent modular building layouts. Automation in Construction, 157, 105140. https://doi.org/10.1016/j.autcon.2023.105140
Su, P., Lu, W., Chen, J., & Hong, S. (2024). Floor plan graph learning for generative design of residential buildings: a discrete denoising diffusion model. Building Research & Information, 52(6), 627-643. https://doi.org/10.1080/09613218.2023.2288097
Zhang, Y.*, Peng, Z., & Lu, W. (2024). Participatory space auto-encapsulation: Bridging human relationships to building typology with machine intelligence. In Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024. https://papers.cumincad.org/data/works/att/caadria2024_71.pdf
Su, P., Lin, X., Lu, W., Xiong, F., Peng, Z., & Lu, Y. (2024). Generative design for complex floorplans in high-rise residential buildings: A Monte Carlo tree search-based self-organizing multi-agent system (MCTS-MAS) solution. Expert Systems with Applications, 258, 125167. https://doi.org/10.1016/j.eswa.2024.125167
Lin, X., Su, P., Lu, W., & Guo, H. (2024). ModulePacking: a Top-Down generative design approach for modular key plans. Journal of Computing in Civil Engineering, 39(1). https://doi.org/10.1061/jccee5.cpeng-6078
4. Façade
Wang, B., Li, M., Peng, Z., & Lu, W. (2024). Hierarchical attributed graph-based generative façade parsing for high-rise residential buildings. Automation in Construction, 164, 105471. https://doi.org/10.1016/j.autcon.2024.105471
5. Others
Zheng, L., Lu, W.*, & Zhou, Q. (2023). Weather image-based short-term dense wind speed forecast with a ConvLSTM-LSTM deep learning model. Building and Environment, 239, 110446. (Also supported by the theme-based project) https://doi.org/10.1016/j.buildenv.2023.110446
Zheng, L., Lu, W.*, Wu, L., & Zhou, Q. (2022). A review of integration between BIM and CFD for building outdoor environment simulation. Building and Environment, 228, 109862. (Also supported by the theme-based project) https://doi.org/10.1016/j.buildenv.2022.109862
Zheng, L., & Lu, W. (2024). Urban micro-scale street thermal comfort prediction using a ‘graph attention network’ model. Building and Environment, 262, 111780. . https://doi.org/10.1016/j.buildenv.2024.111780
An, H., Lu, W.., Wu, L., Peng, Z., Lou, J. Meta-Interaction: A metaverse and generative AI integrated, deployable framework for enhancing participatory building design. Automation in Construction. Under Review.
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