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

Finite element response sensitivity,...

Barbato, Michele.

Linked to FindBook

Google Book

Amazon

博客來

Finite element response sensitivity, probabilistic response and reliability analyses of structural systems with applications to earthquake engineering.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Finite element response sensitivity, probabilistic response and reliability analyses of structural systems with applications to earthquake engineering./
Author:	Barbato, Michele.
Description:	636 p.
Notes:	Adviser: Joel P. Conte.
Contained By:	Dissertation Abstracts International68-07B.
Subject:	Engineering, Civil. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3274842
ISBN:	9780549151043

Finite element response sensitivity, probabilistic response and reliability analyses of structural systems with applications to earthquake engineering.
Barbato, Michele.

Finite element response sensitivity, probabilistic response and reliability analyses of structural systems with applications to earthquake engineering. - 636 p.

Adviser: Joel P. Conte.

Thesis (Ph.D.)--University of California, San Diego, 2007.

The geometric, mechanical, material and loading parameters used to define the mechanics-based finite element (FE) models of structural systems as well as their seismic input are characterized by significant uncertainties. The rational treatment of uncertainties in computational mechanics has been the object of increasing attention in recent years. Modern design codes indirectly account for parameter and model uncertainties in order to ensure satisfactory designs. Thus, in addition to accurate deterministic models, methods are needed to propagate uncertainties from the parameters defining the FE model of a structure to the engineering demand parameters.

ISBN: 9780549151043Subjects--Topical Terms:

783781
Engineering, Civil.

Finite element response sensitivity, probabilistic response and reliability analyses of structural systems with applications to earthquake engineering.
LDR:03898nam 2200349 a 45 001 954991
005 20110622
008 110622s2007 ||||||||||||||||| ||eng d
020 $a 9780549151043
035 $a (UMI)AAI3274842
035 $a AAI3274842
040 $a UMI $c UMI
100 1 $a Barbato, Michele. $3 1278456
245 1 0 $a Finite element response sensitivity, probabilistic response and reliability analyses of structural systems with applications to earthquake engineering.
300 $a 636 p.
500 $a Adviser: Joel P. Conte.
500 $a Source: Dissertation Abstracts International, Volume: 68-07, Section: B, page: 4668.
502 $a Thesis (Ph.D.)--University of California, San Diego, 2007.
520 $a The geometric, mechanical, material and loading parameters used to define the mechanics-based finite element (FE) models of structural systems as well as their seismic input are characterized by significant uncertainties. The rational treatment of uncertainties in computational mechanics has been the object of increasing attention in recent years. Modern design codes indirectly account for parameter and model uncertainties in order to ensure satisfactory designs. Thus, in addition to accurate deterministic models, methods are needed to propagate uncertainties from the parameters defining the FE model of a structure to the engineering demand parameters.
520 $a FE response sensitivities (RSs) to both model and loading parameters represent an essential ingredient in studying this complex uncertainty propagation. New RS algorithms based on the Direct Differentiation Method (DDM) are derived and implemented in general-purpose nonlinear structural analysis frameworks. The use of the DDM is extended to (1) force-based frame elements, (2) steel-concrete composite structures, and (3) three-field mixed FEs. In addition, the effects on RS continuity of using smooth versus non-smooth material constitutive models are thoroughly examined.
520 $a An efficient simulation technique for an existing fully non-stationary stochastic earthquake ground motion model is developed. The definition of non-geometric spectral characteristics is extended to general complex-valued non-stationary stochastic processes. Closed-form approximate solutions of the first-passage problem are developed for single- and multi-degree-of-freedom linear elastic systems.
520 $a First-order second-moment approximations of the first- and second-order statistics of the response of linear/nonlinear structural systems with random/uncertain parameters and subjected to quasi-static and/or dynamic load(s) are computed efficiently using DDM-based FE RSs. The probability of a structural response quantity exceeding a specified threshold level is obtained by using the First-Order Reliability Method in conjunction with the DDM-based FE RSs in the search for the Design Point(s) (DP). A new method, referred to as Multidimensional Visualization in the Principal Planes, is developed to explore the geometry of limit-state surfaces near the DP(s) in reduced-spaces defined by planes of major principal curvatures at the DP. A new hybrid reliability analysis method (DP search - Response Surface - Importance Sampling) is developed and tested. Based on pushover and time history analyses, examples of both time-invariant and time-variant reliability analysis of structural systems are presented to illustrate the probabilistic methods developed.
590 $a School code: 0033.
650 4 $a Engineering, Civil. $3 783781
690 $a 0543
710 2 $a University of California, San Diego. $b Structural Engineering. $3 1020656
773 0 $t Dissertation Abstracts International $g 68-07B.
790 $a 0033
790 1 0 $a Conte, Joel P., $e advisor
790 1 0 $a Gill, Philip E. $e committee member
790 1 0 $a Kosmatka, John B. $e committee member
790 1 0 $a Krysl, Petr $e committee member
790 1 0 $a Llewellyn Smith, Stefan G. $e committee member
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3274842