A Gaussian Process-Based emulator for modeling pedestrian-level wind field

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

3 Scopus Citations
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Author(s)

  • A.U. Weerasuriya
  • Xuelin Zhang
  • Bin Lu
  • K.T. Tse
  • C.H. Liu

Detail(s)

Original languageEnglish
Article number107500
Journal / PublicationBuilding and Environment
Volume188
Online published3 Dec 2020
Publication statusPublished - 15 Jan 2021

Abstract

Wind tunnel tests and computational fluid dynamics (CFD) simulations remain the main modeling techniques in wind engineering despite being expensive, time-consuming, and requiring special facilities and expert knowledge. There is a clear need for a fast, accurate, but, at the same time, computationally economical substitute. This study proposes a Gaussian Process-based (GP-based) emulator to predict the pedestrian-level wind environment near a lift-up building – an isolated, unconventionally configured building. The proposed GP-based emulator transcends the limitations of previous emulators as it can handle many inputs (8) and output parameters (384) and a large dataset (150 CFD simulations). To increase computational efficiency, the current study proposes a data reduction method based on Principal Component Analysis (PCA) and a technique to estimate hyper-parameters based on optimization. The latter can efficiently compute 250 hyper-parameters and requires no prior knowledge of their probability distributions. The emulator is faster, by a factor of 107 than CFD simulations in predicting wind speeds, and its accuracy is substantiated using both qualitative and quantitative analyses, which reveal that the emulator's predictions of all-prominent flow features near a building have no systematic bias, are highly accurate, and have great reproductivity.

Research Area(s)

  • Emulator, Gaussian process, Lift-up building, Model evaluation, Pedestrian-level wind environment

Citation Format(s)

A Gaussian Process-Based emulator for modeling pedestrian-level wind field. / Weerasuriya, A.U.; Zhang, Xuelin; Lu, Bin; Tse, K.T.; Liu, C.H.

In: Building and Environment, Vol. 188, 107500, 15.01.2021.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review