Application of weighted latin hypercube sampling in stochastic modelling of shear strength of rc beams

Ngoc Linh Tran; Khuong Le-Nguyen

doi:10.1007/978-981-15-0802-8_46

Application of weighted latin hypercube sampling in stochastic modelling of shear strength of rc beams

Ngoc Linh Tran, Khuong Le-Nguyen

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

Stochastic modelling and probabilistic analysis of concrete members are very time-demanding, especially for nonlinear finite element analysis of concrete structures. This paper presents an application of weighted Latin hypercube sampling method in stochastic modelling of shear strength of reinforced concrete beams, which takes into account the sensitivity factors regarding the behaviour of the considered system. The results show with only a few simulations the statistical values of the load-bearing capacities of concrete structures can be determined with high accuracy if weighted Latin hypercube sampling is used.

Original language	English
Title of host publication	Lecture Notes in Civil Engineering
Editors	Cuong Ha-Minh, Dong Van Dao, Farid Benboudjema, Sybil Derrible, Dat Vu Khoa Huynh, Anh Minh Tang
Place of Publication	Singapore
Publisher	Springer
Pages	305-310
Number of pages	6
Volume	54
Edition	1
ISBN (Electronic)	9789811508028
ISBN (Print)	9789811508011
DOIs	https://doi.org/10.1007/978-981-15-0802-8_46
Publication status	Published - 2020
Externally published	Yes
Event	5th International Conference on Geotechnics, Civil Engineering Works and Structures: Innovation for Sustainable Infrastructure - Ha Noi, Ha Noi, Viet Nam Duration: 31 Oct 2019 → 1 Nov 2019 https://cigos2019.sciencesconf.org/

Publication series

Name	Lecture Notes in Civil Engineering
Volume	54
ISSN (Print)	2366-2557
ISSN (Electronic)	2366-2565

Conference

Conference	5th International Conference on Geotechnics, Civil Engineering Works and Structures
Abbreviated title	CIGOS 2019
Country/Territory	Viet Nam
City	Ha Noi
Period	31/10/19 → 1/11/19
Internet address	https://cigos2019.sciencesconf.org/

Access to Document

10.1007/978-981-15-0802-8_46

Cite this

Tran, N. L., & Le-Nguyen, K. (2020). Application of weighted latin hypercube sampling in stochastic modelling of shear strength of rc beams. In C. Ha-Minh, D. V. Dao, F. Benboudjema, S. Derrible, D. V. K. Huynh, & A. M. Tang (Eds.), Lecture Notes in Civil Engineering (1 ed., Vol. 54, pp. 305-310). (Lecture Notes in Civil Engineering; Vol. 54). Springer. https://doi.org/10.1007/978-981-15-0802-8_46

Tran, Ngoc Linh ; Le-Nguyen, Khuong. / Application of weighted latin hypercube sampling in stochastic modelling of shear strength of rc beams. Lecture Notes in Civil Engineering. editor / Cuong Ha-Minh ; Dong Van Dao ; Farid Benboudjema ; Sybil Derrible ; Dat Vu Khoa Huynh ; Anh Minh Tang. Vol. 54 1. ed. Singapore : Springer, 2020. pp. 305-310 (Lecture Notes in Civil Engineering).

@inproceedings{d18443725c9b43cc8ff18da822f4ab99,

title = "Application of weighted latin hypercube sampling in stochastic modelling of shear strength of rc beams",

abstract = "Stochastic modelling and probabilistic analysis of concrete members are very time-demanding, especially for nonlinear finite element analysis of concrete structures. This paper presents an application of weighted Latin hypercube sampling method in stochastic modelling of shear strength of reinforced concrete beams, which takes into account the sensitivity factors regarding the behaviour of the considered system. The results show with only a few simulations the statistical values of the load-bearing capacities of concrete structures can be determined with high accuracy if weighted Latin hypercube sampling is used.",

keywords = "Stochastic modelling, Weighted Latin hypercube sampling",

author = "Tran, {Ngoc Linh} and Khuong Le-Nguyen",

note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd 2020.; 5th International Conference on Geotechnics, Civil Engineering Works and Structures : Innovation for Sustainable Infrastructure, CIGOS 2019 ; Conference date: 31-10-2019 Through 01-11-2019",

year = "2020",

doi = "10.1007/978-981-15-0802-8_46",

language = "English",

isbn = "9789811508011",

volume = "54",

series = "Lecture Notes in Civil Engineering",

publisher = "Springer",

pages = "305--310",

editor = "Cuong Ha-Minh and Dao, {Dong Van} and Farid Benboudjema and Sybil Derrible and Huynh, {Dat Vu Khoa} and Tang, {Anh Minh}",

booktitle = "Lecture Notes in Civil Engineering",

address = "Netherlands",

edition = "1",

url = "https://cigos2019.sciencesconf.org/",

}

Tran, NL & Le-Nguyen, K 2020, Application of weighted latin hypercube sampling in stochastic modelling of shear strength of rc beams. in C Ha-Minh, DV Dao, F Benboudjema, S Derrible, DVK Huynh & AM Tang (eds), Lecture Notes in Civil Engineering. 1 edn, vol. 54, Lecture Notes in Civil Engineering, vol. 54, Springer, Singapore, pp. 305-310, 5th International Conference on Geotechnics, Civil Engineering Works and Structures, Ha Noi, Viet Nam, 31/10/19. https://doi.org/10.1007/978-981-15-0802-8_46

Application of weighted latin hypercube sampling in stochastic modelling of shear strength of rc beams. / Tran, Ngoc Linh; Le-Nguyen, Khuong.
Lecture Notes in Civil Engineering. ed. / Cuong Ha-Minh; Dong Van Dao; Farid Benboudjema; Sybil Derrible; Dat Vu Khoa Huynh; Anh Minh Tang. Vol. 54 1. ed. Singapore: Springer, 2020. p. 305-310 (Lecture Notes in Civil Engineering; Vol. 54).

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

TY - GEN

T1 - Application of weighted latin hypercube sampling in stochastic modelling of shear strength of rc beams

AU - Tran, Ngoc Linh

AU - Le-Nguyen, Khuong

N1 - Publisher Copyright: © Springer Nature Singapore Pte Ltd 2020.

PY - 2020

Y1 - 2020

N2 - Stochastic modelling and probabilistic analysis of concrete members are very time-demanding, especially for nonlinear finite element analysis of concrete structures. This paper presents an application of weighted Latin hypercube sampling method in stochastic modelling of shear strength of reinforced concrete beams, which takes into account the sensitivity factors regarding the behaviour of the considered system. The results show with only a few simulations the statistical values of the load-bearing capacities of concrete structures can be determined with high accuracy if weighted Latin hypercube sampling is used.

AB - Stochastic modelling and probabilistic analysis of concrete members are very time-demanding, especially for nonlinear finite element analysis of concrete structures. This paper presents an application of weighted Latin hypercube sampling method in stochastic modelling of shear strength of reinforced concrete beams, which takes into account the sensitivity factors regarding the behaviour of the considered system. The results show with only a few simulations the statistical values of the load-bearing capacities of concrete structures can be determined with high accuracy if weighted Latin hypercube sampling is used.

KW - Stochastic modelling

KW - Weighted Latin hypercube sampling

UR - http://www.scopus.com/inward/record.url?scp=85073688923&partnerID=8YFLogxK

U2 - 10.1007/978-981-15-0802-8_46

DO - 10.1007/978-981-15-0802-8_46

M3 - Conference contribution

AN - SCOPUS:85073688923

SN - 9789811508011

VL - 54

T3 - Lecture Notes in Civil Engineering

SP - 305

EP - 310

BT - Lecture Notes in Civil Engineering

A2 - Ha-Minh, Cuong

A2 - Dao, Dong Van

A2 - Benboudjema, Farid

A2 - Derrible, Sybil

A2 - Huynh, Dat Vu Khoa

A2 - Tang, Anh Minh

PB - Springer

CY - Singapore

T2 - 5th International Conference on Geotechnics, Civil Engineering Works and Structures

Y2 - 31 October 2019 through 1 November 2019

ER -

Application of weighted latin hypercube sampling in stochastic modelling of shear strength of rc beams

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this