Improving the performance of a CAE-based reduced-order model for predicting turbulent airflow field around an isolated high-rise building-Reference-Cited by-同舟云学术

Improving the performance of a CAE-based reduced-order model for predicting turbulent airflow field around an isolated high-rise building

Published:2022-12 Issue: Volume:87 Page:104252
ISSN:2210-6707
Container-title:Sustainable Cities and Society
language:en
Short-container-title:Sustainable Cities and Society

Author:

Masoumi-Verki Shahin^ORCID,Haghighat Fariborz^ORCID,Eicker Ursula

Funder

Canada Excellence Research Chairs, Government of Canada

Concordia University

Publisher

Elsevier BV

Subject

Transportation,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering,Geography, Planning and Development

Reference69 articles.

1. http://www.wind.arch.t-kougei.ac.jp/info_center/pollution/Non-Isothermal_Flow.html, (2021).

2. Model order reduction for linear and nonlinear systems: A system-theoretic perspective;Baur;Archives of Computational Methods in Engineering,2014

3. Borggaard, J., Duggleby, A., Hay, A., Iliescu, T., & Wang,.Z. (2008)Reduced-order modeling of turbulent flows, in: 18th Int. Symp. Math. Theory Networks Syst., Blacksburg, Virginia.

4. Reduced-order modeling of transonic flows around an airfoil submitted to small deformations;Bourguet;Journal of Computational Physics,2011

5. Multivariable functional interpolation and adaptive networks;Broomhead;Complex Systems,1988

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