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Reliability-based bearing capacity d...

Zhang, Xianyue.

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Reliability-based bearing capacity design of shallow foundations.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Reliability-based bearing capacity design of shallow foundations./
Author:	Zhang, Xianyue.
Description:	132 p.
Notes:	Source: Dissertation Abstracts International, Volume: 68-05, Section: B, page: 3179.
Contained By:	Dissertation Abstracts International68-05B.
Subject:	Engineering, General. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NR27655
ISBN:	9780494276556

Reliability-based bearing capacity design of shallow foundations.
Zhang, Xianyue.

Reliability-based bearing capacity design of shallow foundations. - 132 p.

Source: Dissertation Abstracts International, Volume: 68-05, Section: B, page: 3179.

Thesis (Ph.D.)--Dalhousie University (Canada), 2007.

Geotechnical engineers have primarily used a traditional approach, Working Stress Design (WSD), for the bearing capacity design of shallow foundations, in which a single factor of safety is applied to capture all uncertainty. One problem with WSD is that there is no rational consideration of different modes of failure and their consequences. The structural community largely abandoned WSD several decades ago in favor of Reliability-Based Design (RBD) methods which have been implemented using Load and Resistance Factor Design (LRFD).

ISBN: 9780494276556Subjects--Topical Terms:

1020744
Engineering, General.

Reliability-based bearing capacity design of shallow foundations.
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020 $a 9780494276556
035 $a (UMI)AAINR27655
035 $a AAINR27655
040 $a UMI $c UMI
100 1 $a Zhang, Xianyue. $3 1278408
245 1 0 $a Reliability-based bearing capacity design of shallow foundations.
300 $a 132 p.
500 $a Source: Dissertation Abstracts International, Volume: 68-05, Section: B, page: 3179.
502 $a Thesis (Ph.D.)--Dalhousie University (Canada), 2007.
520 $a Geotechnical engineers have primarily used a traditional approach, Working Stress Design (WSD), for the bearing capacity design of shallow foundations, in which a single factor of safety is applied to capture all uncertainty. One problem with WSD is that there is no rational consideration of different modes of failure and their consequences. The structural community largely abandoned WSD several decades ago in favor of Reliability-Based Design (RBD) methods which have been implemented using Load and Resistance Factor Design (LRFD).
520 $a The Load and Resistance Factor Design (LRFD) is an evolution of WSD, with the consideration of different possible failure modes and separate load and resistance factors. LRFD is a convenient and rational way of accounting for the sources of uncertainty in design. The application of LRFD in geotechnical engineering helps harmonize with the structural community and should reduce expense. The geotechnical community is currently working on the transition from Working Stress Design (WSD) to Load and Resistance Factor Design (LRFD).
520 $a In this research, LRFD has been considered in some detail for bearing capacity design of shallow foundations. The actual performance of any geotechnical footing can be quite different than expected due to the soil's spatial variability. A novel mathematical theory was developed to analytically estimate the probability of bearing capacity failure. The spatial random soil field was modeled using random field theory, in which three parameters were considered: the mean, the standard deviation of soil properties, and the correlation length of the soil field. Monte Carlo simulation was then used to simulate the soil field, estimate the probability of bearing capacity failure, and validate the theory. Specifically, Random Finite Element Method (RFEM) was used to simulate the soil's spatial variability and estimate failure probabilities. Once the theory has been validated, the 'optimal' resistance factors required to achieve certain levels of reliability were suggested using the proposed theory.
590 $a School code: 0328.
650 4 $a Engineering, General. $3 1020744
650 4 $a Mathematics. $3 515831
690 $a 0405
690 $a 0537
710 2 $a Dalhousie University (Canada). $3 1017625
773 0 $t Dissertation Abstracts International $g 68-05B.
790 $a 0328
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NR27655