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

Probabilistic finite element methods...

Thacker, Ben Howard.

Linked to FindBook

Google Book

Amazon

博客來

Probabilistic finite element methods for transient analysis of nonlinear continua.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Probabilistic finite element methods for transient analysis of nonlinear continua./
Author:	Thacker, Ben Howard.
Description:	189 p.
Notes:	Source: Dissertation Abstracts International, Volume: 58-01, Section: B, page: 0324.
Contained By:	Dissertation Abstracts International58-01B.
Subject:	Applied Mechanics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9719507
ISBN:	0591280574

Probabilistic finite element methods for transient analysis of nonlinear continua.
Thacker, Ben Howard.

Probabilistic finite element methods for transient analysis of nonlinear continua. - 189 p.

Source: Dissertation Abstracts International, Volume: 58-01, Section: B, page: 0324.

Thesis (Ph.D.)--The University of Texas at Austin, 1996.

Strategies for performing probabilistic finite element analysis of dynamically-loaded structures in nonlinear continua are presented. The application is the response of tunnels in rock subjected to stress-wave loading, which is well-suited for efficient probabilistic methods because the problems require computationally-intensive numerical calculations and also possess significant uncertainties in material properties and loading. The probabilistic methods employed, however, are general and can be applied to any problem in structural or solid mechanics. An analytical model is developed for a circular tunnel in a Mohr-Coulomb material subjected to static axisymmetric pressure. Several numerical tunnel models are also developed that employ an explicit dynamic finite element solution. Significant attention is paid to the development and validation of the deterministic finite element constitutive model. Strategies are developed, implemented, and verified for treating non-normal correlated random variables and for computing probabilistic sensitivity measures from sampling information. Efficient and accurate probabilistic methods are applied to the tunnel models and their use is demonstrated with several examples.

ISBN: 0591280574Subjects--Topical Terms:

1018410
Applied Mechanics.

Probabilistic finite element methods for transient analysis of nonlinear continua.
LDR:02143nam 2200289 a 45 001 926623
005 20110422
008 110422s1996 eng d
020 $a 0591280574
035 $a (UnM)AAI9719507
035 $a AAI9719507
040 $a UnM $c UnM
100 1 $a Thacker, Ben Howard. $3 1250208
245 1 0 $a Probabilistic finite element methods for transient analysis of nonlinear continua.
300 $a 189 p.
500 $a Source: Dissertation Abstracts International, Volume: 58-01, Section: B, page: 0324.
500 $a Supervisor: Jose M. Roesset.
502 $a Thesis (Ph.D.)--The University of Texas at Austin, 1996.
520 $a Strategies for performing probabilistic finite element analysis of dynamically-loaded structures in nonlinear continua are presented. The application is the response of tunnels in rock subjected to stress-wave loading, which is well-suited for efficient probabilistic methods because the problems require computationally-intensive numerical calculations and also possess significant uncertainties in material properties and loading. The probabilistic methods employed, however, are general and can be applied to any problem in structural or solid mechanics. An analytical model is developed for a circular tunnel in a Mohr-Coulomb material subjected to static axisymmetric pressure. Several numerical tunnel models are also developed that employ an explicit dynamic finite element solution. Significant attention is paid to the development and validation of the deterministic finite element constitutive model. Strategies are developed, implemented, and verified for treating non-normal correlated random variables and for computing probabilistic sensitivity measures from sampling information. Efficient and accurate probabilistic methods are applied to the tunnel models and their use is demonstrated with several examples.
590 $a School code: 0227.
650 4 $a Applied Mechanics. $3 1018410
650 4 $a Engineering, Civil. $3 783781
650 4 $a Engineering, Mechanical. $3 783786
690 $a 0346
690 $a 0543
690 $a 0548
710 2 0 $a The University of Texas at Austin. $3 718984
773 0 $t Dissertation Abstracts International $g 58-01B.
790 $a 0227
790 1 0 $a Roesset, Jose M., $e advisor
791 $a Ph.D.
792 $a 1996
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9719507