國立虎尾科技大學 |

Practice of Optimisation Theory in Geotechnical Engineering

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Practice of Optimisation Theory in Geotechnical Engineering/ by Zhen-Yu Yin, Yin-Fu Jin.
Author:	Yin, Zhen-Yu.
other author:	Jin, Yin-Fu.
Description:	XXXVII, 356 p. 304 illus., 276 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Engineering geology. -
Online resource:	https://doi.org/10.1007/978-981-13-3408-5
ISBN:	9789811334085

Practice of Optimisation Theory in Geotechnical Engineering
Yin, Zhen-Yu.

Practice of Optimisation Theory in Geotechnical Engineering[electronic resource] /by Zhen-Yu Yin, Yin-Fu Jin. - 1st ed. 2019. - XXXVII, 356 p. 304 illus., 276 illus. in color.online resource.

Introduction -- Methodology of parameter identification -- Optimisation algorithms -- Laboratory tests for mechanical behaviours of soils -- Constitutive modeling of soils -- ErosOpt platform -- Appendix A: NMS -- Appendix B: NMGA -- Appendix C: NMDE.

This book presents the development of optimization platform for geotechnical engineering which is one of the key components in smart geotechnics. The book discusses the fundamentals of the optimization algorithm with constitutive models of soils. Helping readers easily understand the optimization algorithm applied in geotechnical engineering, this book first introduces the methodology of the optimization-based parameter identification, and then elaborates the principle of three newly developed efficient optimization algorithms, followed by the ideas of a variety of laboratory tests and formulations of constitutive models. Moving on to the application of optimization methods in geotechnical engineering, this book presents an optimization-based parameter identification platform with a practical and concise interface based on the above theories. The book is intended for undergraduate and graduate-level teaching in soil mechanics and geotechnical engineering and other related engineering specialties. It is also of use to industry practitioners, due to the inclusion of real-world applications, opening the door to advanced courses on both modeling and algorithm development within the industrial engineering and operations research fields.

ISBN: 9789811334085

Standard No.: 10.1007/978-981-13-3408-5doiSubjects--Topical Terms:

558458
Engineering geology.

LC Class. No.: TA703-705.4

Dewey Class. No.: 624.15

Practice of Optimisation Theory in Geotechnical Engineering
LDR:02851nam a22004095i 4500 001 1007160
003 DE-He213
005 20200629153527.0
007 cr nn 008mamaa
008 210106s2019 si | s |||| 0|eng d
020 $a 9789811334085 $9 978-981-13-3408-5
024 7 $a 10.1007/978-981-13-3408-5 $2 doi
035 $a 978-981-13-3408-5
050 4 $a TA703-705.4
050 4 $a TA775-787
072 7 $a RBP $2 bicssc
072 7 $a SCI042000 $2 bisacsh
072 7 $a RBP $2 thema
072 7 $a RBGK $2 thema
082 0 4 $a 624.15 $2 23
100 1 $a Yin, Zhen-Yu. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1226041
245 1 0 $a Practice of Optimisation Theory in Geotechnical Engineering $h [electronic resource] / $c by Zhen-Yu Yin, Yin-Fu Jin.
250 $a 1st ed. 2019.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2019.
300 $a XXXVII, 356 p. 304 illus., 276 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a Introduction -- Methodology of parameter identification -- Optimisation algorithms -- Laboratory tests for mechanical behaviours of soils -- Constitutive modeling of soils -- ErosOpt platform -- Appendix A: NMS -- Appendix B: NMGA -- Appendix C: NMDE.
520 $a This book presents the development of optimization platform for geotechnical engineering which is one of the key components in smart geotechnics. The book discusses the fundamentals of the optimization algorithm with constitutive models of soils. Helping readers easily understand the optimization algorithm applied in geotechnical engineering, this book first introduces the methodology of the optimization-based parameter identification, and then elaborates the principle of three newly developed efficient optimization algorithms, followed by the ideas of a variety of laboratory tests and formulations of constitutive models. Moving on to the application of optimization methods in geotechnical engineering, this book presents an optimization-based parameter identification platform with a practical and concise interface based on the above theories. The book is intended for undergraduate and graduate-level teaching in soil mechanics and geotechnical engineering and other related engineering specialties. It is also of use to industry practitioners, due to the inclusion of real-world applications, opening the door to advanced courses on both modeling and algorithm development within the industrial engineering and operations research fields.
650 0 $a Engineering geology. $3 558458
650 0 $a Engineering—Geology. $3 1253941
650 0 $a Foundations. $3 565339
650 0 $a Hydraulics. $3 636781
650 0 $a Geotechnical engineering. $3 1024219
650 0 $a Mechanics. $3 527684
650 0 $a Mechanics, Applied. $3 596630
650 0 $a Numerical analysis. $3 527939
650 0 $a Computer simulation. $3 560190
650 1 4 $a Geoengineering, Foundations, Hydraulics. $3 768429
650 2 4 $a Geotechnical Engineering & Applied Earth Sciences. $3 815187
650 2 4 $a Solid Mechanics. $3 1211586
650 2 4 $a Numerical Analysis. $3 671433
650 2 4 $a Simulation and Modeling. $3 669249
700 1 $a Jin, Yin-Fu. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1226042
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811334078
776 0 8 $i Printed edition: $z 9789811334092
856 4 0 $u https://doi.org/10.1007/978-981-13-3408-5
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)