A Novel Gan-Based Method For Building Surface Wind Pressure Prediction

Lin Sun, Shuqi Cao, Likai Wang, Guohua Ji

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

1 Citation (Scopus)

Abstract

The wind pressure on the surface of buildings can be critical, especially for high-rise buildings. To overcome the limitations in applying time-consuming CFD simulations to early design stage, we introduce a novel approach for generating real-time surface wind pressure in high-rise buildings through Deep Learning (DL). The DL model is trained on datasets of hundreds of buildings geometries generated by Grasshopper plugin EvoMass, and their corresponding surface wind pressure is simulated by RhinoCFD. Moreover, regarding the current performance prediction using DL, we have noted that the common labeling map and DL model may hinder the efficiency of training. Thus, we proposed a new labeling approach and a modified DL model to assess the accuracy of the prediction. To demonstrate the validity of the approach, the experiments of simulation predictions were conducted, and the results shows that the presented method can greatly enhance the accuracy.

Original languageEnglish
Title of host publicationProceedings of the 2022 Annual Modeling and Simulation Conference, ANNSIM 2022
EditorsCristina Ruiz Martin, Niloufar Emami, Maria Julia Blas, Roya Rezaee
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages512-522
Number of pages11
ISBN (Electronic)9781713852889
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event2022 Annual Modeling and Simulation Conference, ANNSIM 2022 - San Diego, United States
Duration: 18 Jul 202220 Jul 2022

Publication series

NameProceedings of the 2022 Annual Modeling and Simulation Conference, ANNSIM 2022

Conference

Conference2022 Annual Modeling and Simulation Conference, ANNSIM 2022
Country/TerritoryUnited States
CitySan Diego
Period18/07/2220/07/22

Keywords

  • Deep Learning
  • Surface Wind Pressure Simulation
  • Surrogate Model

Fingerprint

Dive into the research topics of 'A Novel Gan-Based Method For Building Surface Wind Pressure Prediction'. Together they form a unique fingerprint.

Cite this