Risk Assessment in Geotechnical Engineering

This text presents a thorough examination of the theories and methodologies available for risk assessment in geotechnical engineering, spanning the full range from established single-variable and "first order" methods to the most recent, advanced numerical developments. In response to the...

Full description

Saved in:
Bibliographic Details
Main Authors: Fenton, Gordon A. (Author), Griffiths, D. V. (Author)
Format: Book
Language:English
Published: Hoboken, NJ John Wiley & Sons 2008
Subjects:
Online Access:Click Here to View Status and Holdings.
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000cam#a2200000#i#4501
001 wils-387992
005 2022417153656
008 220902t20082008NJU ag# ##001 |#eng#D
020 # # |a 9780470178201  |q hardback 
020 # # |a 0470178205  |q hardback 
040 # # |a DLC  |b eng  |c DLC  |d UiTM  |e rda 
041 0 # |a eng 
090 0 0 |a TA710  |b .F46 2008 
100 1 # |a Fenton, Gordon A.  |e author 
245 1 0 |a Risk Assessment in Geotechnical Engineering  |c Gordan A. Fenton, D.V. Griffiths 
264 # 1 |a Hoboken, NJ  |b John Wiley & Sons  |c 2008 
264 # 4 |c ©2008 
300 # # |a xvii, 461 pages  |b illustrations  |c 29 cm 
336 # # |a text  |2 rdacontent 
337 # # |a unmediated  |2 rdamedia 
338 # # |a volume  |2 rdacarrier 
504 # # |a Includes bibliographical references (p. 435-442) and index 
520 # # |a This text presents a thorough examination of the theories and methodologies available for risk assessment in geotechnical engineering, spanning the full range from established single-variable and "first order" methods to the most recent, advanced numerical developments. In response to the growing application of LRFD methodologies in geotechnical design, coupled with increased demand for risk assessments from clients ranging from regulatory agencies to insurance companies, authors Fenton and Griffiths have introduced an innovative reliability-based risk assessment method, the Random Finite Element Method (RFEM). The authors have spent more than fifteen years developing this statistically based method for modeling the real spatial variability of soils and rocks. As demonstrated in the book, RFEM performs better in real-world applications than traditional risk assessment tools that do not properly account for the spatial variability of geomaterials. 
650 # 0 |a Soil mechanics 
650 # 0 |a Rock mechanics 
650 # 0 |a Risk assessment 
700 1 # |a Griffiths, D. V.  |e author 
856 4 0 |z Click Here to View Status and Holdings.  |u https://opac.uitm.edu.my/opac/detailsPage/detailsHome.jsp?tid=387992 
964 # # |c BOK  |d 01 
998 # # |a 00264#1a002.8.2||00264#1b002.8.4||00300##a003.4.1||00300##b003.6.1||00300##c003.5.1||00520##a007.2||00520##b007.2||