語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Practice of Optimisation Theory in G...
~
SpringerLink (Online service)
Practice of Optimisation Theory in Geotechnical Engineering
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Practice of Optimisation Theory in Geotechnical Engineering/ by Zhen-Yu Yin, Yin-Fu Jin.
作者:
Yin, Zhen-Yu.
其他作者:
Jin, Yin-Fu.
面頁冊數:
XXXVII, 356 p. 304 illus., 276 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Engineering geology. -
電子資源:
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)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入