東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

A three layered framework for annual...

Wang, Yue.

Linked to FindBook

Google Book

Amazon

博客來

A three layered framework for annual indoor airflow CFD simulation.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	A three layered framework for annual indoor airflow CFD simulation./
Author:	Wang, Yue.
Description:	108 p.
Notes:	Source: Dissertation Abstracts International, Volume: 74-10(E), Section: B.
Contained By:	Dissertation Abstracts International74-10B(E).
Subject:	Computer Science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3566347
ISBN:	9781303174490

A three layered framework for annual indoor airflow CFD simulation.
Wang, Yue.

A three layered framework for annual indoor airflow CFD simulation. - 108 p.

Source: Dissertation Abstracts International, Volume: 74-10(E), Section: B.

Thesis (Ph.D.)--University of Pennsylvania, 2013.

Computational fluid dynamics (CFD) is one of the branches of fluid mechanics that uses numerical methods and algorithms to solve and analyze problems that involve fluid flows. Computers are used to perform the millions of calculations required to simulate the interaction of liquids and gases with surfaces defined by boundary conditions. Indoor airflow simulations are necessary for building emergency management, preliminary design of sustainable buildings, and real-time indoor environment control.

ISBN: 9781303174490Subjects--Topical Terms:

626642
Computer Science.

A three layered framework for annual indoor airflow CFD simulation.
LDR:03093nam a2200313 4500 001 1959866
005 20140520124928.5
008 150210s2013 ||||||||||||||||| ||eng d
020 $a 9781303174490
035 $a (MiAaPQ)AAI3566347
035 $a AAI3566347
040 $a MiAaPQ $c MiAaPQ
100 1 $a Wang, Yue. $3 1908045
245 1 2 $a A three layered framework for annual indoor airflow CFD simulation.
300 $a 108 p.
500 $a Source: Dissertation Abstracts International, Volume: 74-10(E), Section: B.
500 $a Adviser: Ali M. Malkawi.
502 $a Thesis (Ph.D.)--University of Pennsylvania, 2013.
520 $a Computational fluid dynamics (CFD) is one of the branches of fluid mechanics that uses numerical methods and algorithms to solve and analyze problems that involve fluid flows. Computers are used to perform the millions of calculations required to simulate the interaction of liquids and gases with surfaces defined by boundary conditions. Indoor airflow simulations are necessary for building emergency management, preliminary design of sustainable buildings, and real-time indoor environment control.
520 $a The simulation should also be informative since the airflow motion, temperature distribution, and contaminant concentration is important. However, CFD computation is usually time-consuming, and not suitable for simulating real-time indoor air movement. Many researchers are concentrating on both hardware utilization and CFD algorithms, to make simulation much faster. Fast flow simulations are important for some applications in the building industry, such as the conceptual design of indoor environment, or they are coupled with energy simulation to provide deep analysis on the performance of the buildings. Such application does not require the same high level of accuracy as traditional CFD simulation because it only requires conceptual or semi-accurate distributions of the flow but within a short computing time. However, year round simulation is needed rather than the analysis of two or three extreme cases in order to help the designer investigate the problem clearly. To meet these special needs, an efficient and informative fluid simulation method is needed to provide fast airflow simulation with an inevitable but nominal compromise in accuracy.
520 $a This research provides a comprehensive workflow for the designer to simulate and analyze the annual indoor environment. In addition to the hardware acceleration deployed, fast fluid simulation algorithm is developed, and a machine learning based interpolation is used to allow the simulation coverage to be conducted annually. The outcome of this research is a methodology that allows the annual simulation time similar to the one used to perform two or three extreme cases of simulation using current methods.
590 $a School code: 0175.
650 4 $a Computer Science. $3 626642
650 4 $a Engineering, Environmental. $3 783782
650 4 $a Engineering, Mechanical. $3 783786
690 $a 0984
690 $a 0775
690 $a 0548
710 2 $a University of Pennsylvania. $b Architecture. $3 2095402
773 0 $t Dissertation Abstracts International $g 74-10B(E).
790 $a 0175
791 $a Ph.D.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3566347