Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Convolutional neural networks-based surrogate model for fast computational fluid dynamics simulations of indoor airflow distribution
https://orcid.org/0000-0001-6005-1051
Convolutional neural networks-based surrogate model for fast computational fluid dynamics simulations of indoor airflow distribution
https://orcid.org/0000-0001-6005-1051
Convolutional neural networks-based surrogate model for fast computational fluid dynamics simulations of indoor airflow distribution
https://orcid.org/0000-0001-6005-1051
Convolutional neural networks-based surrogate model for fast computational fluid dynamics simulations of indoor airflow distribution
Energy and Buildings
Zhang, Wenkai (Autor:in) / Zhang, Chaobo (Autor:in) / Zhao, Yang (Autor:in) / Wang, Zihan (Autor:in) / Liu, Yuce (Autor:in) / Zhou, Chaohui (Autor:in) / Hu, Yue (Autor:in)
Energy and Buildings ; 326 ; 115020
01.01.2025
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Coupled Outdoor and Indoor Airflow Prediction for Buildings Using Computational Fluid Dynamics (CFD)
| DOAJ | 2013
| Taylor & Francis Verlag | 2018
| Taylor & Francis Verlag | 2025