Generative DfX in high-rise modular building:

An expert-augmented cascade graph learning

and optimisation approach


Related Publications

  1. Peng, Z., Lu, W.S., Hao, T., Tang, X., Huang, J.X., Webster, C. (2023). Cost-aware generative design for urban ‘cool spots’: A Random Forest-Principal Component Analysis-augmented combinatorial optimization approach. Building and Energy.
  2. Zheng, L., Lu, W.S., and Zhou, Q.Y. (2023). Weather image-based short-term dense wind speed forecast with a ConvLSTM-LSTM deep learning model. Building and Environment.
  3. Zheng, L., Lu, W.S., Wu, L., and Zhou, Q.Y. (2022). A review of integration between BIM and CFD for building outdoor environment simulation. Building and Environment.
  4. 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.



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