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

Principal component analysisbased co...

Isaac, Benjamin J.

Linked to FindBook

Google Book

Amazon

博客來

Principal component analysisbased combustion models.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Principal component analysisbased combustion models./
Author:	Isaac, Benjamin J.
Description:	148 p.
Notes:	Source: Dissertation Abstracts International, Volume: 75-09(E), Section: B.
Contained By:	Dissertation Abstracts International75-09B(E).
Subject:	Engineering, Chemical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3620883
ISBN:	9781303915772

Principal component analysisbased combustion models.
Isaac, Benjamin J.

Principal component analysisbased combustion models. - 148 p.

Source: Dissertation Abstracts International, Volume: 75-09(E), Section: B.

Thesis (Ph.D.)--The University of Utah, 2014.

Energy generation through combustion of hydrocarbons continues to dominate as the most common method for energy generation. In the U.S., nearly 84% of the energy consumption comes from the combustion of fossil fuels. Because of this demand, there is a continued need for improvement, enhancement, and understanding of the combustion process. As computational power increases, and our methods for modelling these complex combustion systems improve, combustion modelling has become an important tool in gaining deeper insight and understanding of these complex systems. The constant state of change in computational ability leads to a continual need for new combustion models that can take full advantage of the latest computational resources. To this end, the research presented here encompasses the development of new models which can be tailored to the available resources, allowing one to increase or decrease the amount of modelling error based on the available computational resources and desired accuracy. Principal component analysis (PCA) is used to identify the low-dimensional manifolds which exist in turbulent combustion systems. These manifolds are unique in there ability to represent a larger dimensional space with fewer components, resulting in a minimal addition of error. PCA is well-suited for the problem at hand because of its ability to allow the user to define the amount of error in approximation, depending on the resources at hand. The research presented here looks into various methods which exploit the benefits of PCA in modelling combustion systems, demonstrating several models, and providing new and interesting perspectives for the PCA-based approaches to modelling turbulent combustion.

ISBN: 9781303915772Subjects--Topical Terms:

1018531
Engineering, Chemical.

Principal component analysisbased combustion models.
LDR:02588nmm a2200289 4500 001 2055663
005 20150217125030.5
008 170521s2014 ||||||||||||||||| ||eng d
020 $a 9781303915772
035 $a (MiAaPQ)AAI3620883
035 $a AAI3620883
040 $a MiAaPQ $c MiAaPQ
100 1 $a Isaac, Benjamin J. $3 3169342
245 1 0 $a Principal component analysisbased combustion models.
300 $a 148 p.
500 $a Source: Dissertation Abstracts International, Volume: 75-09(E), Section: B.
500 $a Adviser: Philp J. Smith.
502 $a Thesis (Ph.D.)--The University of Utah, 2014.
520 $a Energy generation through combustion of hydrocarbons continues to dominate as the most common method for energy generation. In the U.S., nearly 84% of the energy consumption comes from the combustion of fossil fuels. Because of this demand, there is a continued need for improvement, enhancement, and understanding of the combustion process. As computational power increases, and our methods for modelling these complex combustion systems improve, combustion modelling has become an important tool in gaining deeper insight and understanding of these complex systems. The constant state of change in computational ability leads to a continual need for new combustion models that can take full advantage of the latest computational resources. To this end, the research presented here encompasses the development of new models which can be tailored to the available resources, allowing one to increase or decrease the amount of modelling error based on the available computational resources and desired accuracy. Principal component analysis (PCA) is used to identify the low-dimensional manifolds which exist in turbulent combustion systems. These manifolds are unique in there ability to represent a larger dimensional space with fewer components, resulting in a minimal addition of error. PCA is well-suited for the problem at hand because of its ability to allow the user to define the amount of error in approximation, depending on the resources at hand. The research presented here looks into various methods which exploit the benefits of PCA in modelling combustion systems, demonstrating several models, and providing new and interesting perspectives for the PCA-based approaches to modelling turbulent combustion.
590 $a School code: 0240.
650 4 $a Engineering, Chemical. $3 1018531
650 4 $a Alternative Energy. $3 1035473
650 4 $a Engineering, General. $3 1020744
690 $a 0542
690 $a 0363
690 $a 0537
710 2 $a The University of Utah. $b Chemical Engineering. $3 2099917
773 0 $t Dissertation Abstracts International $g 75-09B(E).
790 $a 0240
791 $a Ph.D.
792 $a 2014
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3620883