Application of monte carlo simulation method to estimate the reliability of design problem of the bored pile according to limited state

This paper applies Monte Carlo simulation method to estimate the reliability of bored pile for designing problem at “Tax Office of Phu Nhuan District”. Surveyed random variables are physico-mechanical properties of soil and loads are assumed that they follow the normal distribution. Limit state func...
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Autor*in:	Tran Ngoc Tuan [verfasserIn] Dang Xuan Vinh [verfasserIn] Tran Tuan Anh [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2016

Schlagwörter:	reliability monte carlo probability of failure bored pile limit state settlement.

Übergeordnetes Werk:	In: Ho Chi Minh City Open University Journal of Science - Engineering and Technology - HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE, 2021, 6(2016), 2, Seite 14-22
Übergeordnetes Werk:	volume:6 ; year:2016 ; number:2 ; pages:14-22

Links:	Link aufrufen Link aufrufen Journal toc Journal toc

Katalog-ID:	DOAJ053010655

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520			\|a This paper applies Monte Carlo simulation method to estimate the reliability of bored pile for designing problem at “Tax Office of Phu Nhuan District”. Surveyed random variables are physico-mechanical properties of soil and loads are assumed that they follow the normal distribution. Limit state functions developed from design requirements of Ultimate limit state (ULS) and Serviceability limit state (SLS). Results show that the probability of failure is 0 and the reliability index of ULS is 9.493 and of SLS is 37.076 when examining coefficient of variation of soil and loads of 10%. The paper also considers the safety level when evaluating different coefficients of variation in the range of 10 ~30%. The authors suggest applying the reliability method to design calculation for other construction to help the engineers have a visual perspective, increase safety and avoid wastage.
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spelling	(DE-627)DOAJ053010655 (DE-599)DOAJ611afa9429e447e2b5877220a5fdaaa5 DE-627 ger DE-627 rakwb eng TP248.13-248.65 Tran Ngoc Tuan verfasserin aut Application of monte carlo simulation method to estimate the reliability of design problem of the bored pile according to limited state 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper applies Monte Carlo simulation method to estimate the reliability of bored pile for designing problem at “Tax Office of Phu Nhuan District”. Surveyed random variables are physico-mechanical properties of soil and loads are assumed that they follow the normal distribution. Limit state functions developed from design requirements of Ultimate limit state (ULS) and Serviceability limit state (SLS). Results show that the probability of failure is 0 and the reliability index of ULS is 9.493 and of SLS is 37.076 when examining coefficient of variation of soil and loads of 10%. The paper also considers the safety level when evaluating different coefficients of variation in the range of 10 ~30%. The authors suggest applying the reliability method to design calculation for other construction to help the engineers have a visual perspective, increase safety and avoid wastage. reliability monte carlo probability of failure bored pile limit state settlement. Biotechnology Dang Xuan Vinh verfasserin aut Tran Tuan Anh verfasserin aut In Ho Chi Minh City Open University Journal of Science - Engineering and Technology HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE, 2021 6(2016), 2, Seite 14-22 (DE-627)1760270970 27349608 nnns volume:6 year:2016 number:2 pages:14-22 https://doaj.org/article/611afa9429e447e2b5877220a5fdaaa5 kostenfrei https://journalofscience.ou.edu.vn/index.php/tech-en/article/view/378 kostenfrei https://doaj.org/toc/2734-9330 Journal toc kostenfrei https://doaj.org/toc/2734-9608 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2016 2 14-22
allfields_unstemmed	(DE-627)DOAJ053010655 (DE-599)DOAJ611afa9429e447e2b5877220a5fdaaa5 DE-627 ger DE-627 rakwb eng TP248.13-248.65 Tran Ngoc Tuan verfasserin aut Application of monte carlo simulation method to estimate the reliability of design problem of the bored pile according to limited state 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper applies Monte Carlo simulation method to estimate the reliability of bored pile for designing problem at “Tax Office of Phu Nhuan District”. Surveyed random variables are physico-mechanical properties of soil and loads are assumed that they follow the normal distribution. Limit state functions developed from design requirements of Ultimate limit state (ULS) and Serviceability limit state (SLS). Results show that the probability of failure is 0 and the reliability index of ULS is 9.493 and of SLS is 37.076 when examining coefficient of variation of soil and loads of 10%. The paper also considers the safety level when evaluating different coefficients of variation in the range of 10 ~30%. The authors suggest applying the reliability method to design calculation for other construction to help the engineers have a visual perspective, increase safety and avoid wastage. reliability monte carlo probability of failure bored pile limit state settlement. Biotechnology Dang Xuan Vinh verfasserin aut Tran Tuan Anh verfasserin aut In Ho Chi Minh City Open University Journal of Science - Engineering and Technology HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE, 2021 6(2016), 2, Seite 14-22 (DE-627)1760270970 27349608 nnns volume:6 year:2016 number:2 pages:14-22 https://doaj.org/article/611afa9429e447e2b5877220a5fdaaa5 kostenfrei https://journalofscience.ou.edu.vn/index.php/tech-en/article/view/378 kostenfrei https://doaj.org/toc/2734-9330 Journal toc kostenfrei https://doaj.org/toc/2734-9608 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2016 2 14-22
allfieldsGer	(DE-627)DOAJ053010655 (DE-599)DOAJ611afa9429e447e2b5877220a5fdaaa5 DE-627 ger DE-627 rakwb eng TP248.13-248.65 Tran Ngoc Tuan verfasserin aut Application of monte carlo simulation method to estimate the reliability of design problem of the bored pile according to limited state 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper applies Monte Carlo simulation method to estimate the reliability of bored pile for designing problem at “Tax Office of Phu Nhuan District”. Surveyed random variables are physico-mechanical properties of soil and loads are assumed that they follow the normal distribution. Limit state functions developed from design requirements of Ultimate limit state (ULS) and Serviceability limit state (SLS). Results show that the probability of failure is 0 and the reliability index of ULS is 9.493 and of SLS is 37.076 when examining coefficient of variation of soil and loads of 10%. The paper also considers the safety level when evaluating different coefficients of variation in the range of 10 ~30%. The authors suggest applying the reliability method to design calculation for other construction to help the engineers have a visual perspective, increase safety and avoid wastage. reliability monte carlo probability of failure bored pile limit state settlement. Biotechnology Dang Xuan Vinh verfasserin aut Tran Tuan Anh verfasserin aut In Ho Chi Minh City Open University Journal of Science - Engineering and Technology HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE, 2021 6(2016), 2, Seite 14-22 (DE-627)1760270970 27349608 nnns volume:6 year:2016 number:2 pages:14-22 https://doaj.org/article/611afa9429e447e2b5877220a5fdaaa5 kostenfrei https://journalofscience.ou.edu.vn/index.php/tech-en/article/view/378 kostenfrei https://doaj.org/toc/2734-9330 Journal toc kostenfrei https://doaj.org/toc/2734-9608 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2016 2 14-22
allfieldsSound	(DE-627)DOAJ053010655 (DE-599)DOAJ611afa9429e447e2b5877220a5fdaaa5 DE-627 ger DE-627 rakwb eng TP248.13-248.65 Tran Ngoc Tuan verfasserin aut Application of monte carlo simulation method to estimate the reliability of design problem of the bored pile according to limited state 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper applies Monte Carlo simulation method to estimate the reliability of bored pile for designing problem at “Tax Office of Phu Nhuan District”. Surveyed random variables are physico-mechanical properties of soil and loads are assumed that they follow the normal distribution. Limit state functions developed from design requirements of Ultimate limit state (ULS) and Serviceability limit state (SLS). Results show that the probability of failure is 0 and the reliability index of ULS is 9.493 and of SLS is 37.076 when examining coefficient of variation of soil and loads of 10%. The paper also considers the safety level when evaluating different coefficients of variation in the range of 10 ~30%. The authors suggest applying the reliability method to design calculation for other construction to help the engineers have a visual perspective, increase safety and avoid wastage. reliability monte carlo probability of failure bored pile limit state settlement. Biotechnology Dang Xuan Vinh verfasserin aut Tran Tuan Anh verfasserin aut In Ho Chi Minh City Open University Journal of Science - Engineering and Technology HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE, 2021 6(2016), 2, Seite 14-22 (DE-627)1760270970 27349608 nnns volume:6 year:2016 number:2 pages:14-22 https://doaj.org/article/611afa9429e447e2b5877220a5fdaaa5 kostenfrei https://journalofscience.ou.edu.vn/index.php/tech-en/article/view/378 kostenfrei https://doaj.org/toc/2734-9330 Journal toc kostenfrei https://doaj.org/toc/2734-9608 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2016 2 14-22
language	English
source	In Ho Chi Minh City Open University Journal of Science - Engineering and Technology 6(2016), 2, Seite 14-22 volume:6 year:2016 number:2 pages:14-22
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callnumber-first	T - Technology
author	Tran Ngoc Tuan
spellingShingle	Tran Ngoc Tuan misc TP248.13-248.65 misc reliability misc monte carlo misc probability of failure misc bored pile misc limit state misc settlement. misc Biotechnology Application of monte carlo simulation method to estimate the reliability of design problem of the bored pile according to limited state
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topic_title	TP248.13-248.65 Application of monte carlo simulation method to estimate the reliability of design problem of the bored pile according to limited state reliability monte carlo probability of failure bored pile limit state settlement
topic	misc TP248.13-248.65 misc reliability misc monte carlo misc probability of failure misc bored pile misc limit state misc settlement. misc Biotechnology
topic_unstemmed	misc TP248.13-248.65 misc reliability misc monte carlo misc probability of failure misc bored pile misc limit state misc settlement. misc Biotechnology
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title	Application of monte carlo simulation method to estimate the reliability of design problem of the bored pile according to limited state
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title_full	Application of monte carlo simulation method to estimate the reliability of design problem of the bored pile according to limited state
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title_sort	application of monte carlo simulation method to estimate the reliability of design problem of the bored pile according to limited state
callnumber	TP248.13-248.65
title_auth	Application of monte carlo simulation method to estimate the reliability of design problem of the bored pile according to limited state
abstract	This paper applies Monte Carlo simulation method to estimate the reliability of bored pile for designing problem at “Tax Office of Phu Nhuan District”. Surveyed random variables are physico-mechanical properties of soil and loads are assumed that they follow the normal distribution. Limit state functions developed from design requirements of Ultimate limit state (ULS) and Serviceability limit state (SLS). Results show that the probability of failure is 0 and the reliability index of ULS is 9.493 and of SLS is 37.076 when examining coefficient of variation of soil and loads of 10%. The paper also considers the safety level when evaluating different coefficients of variation in the range of 10 ~30%. The authors suggest applying the reliability method to design calculation for other construction to help the engineers have a visual perspective, increase safety and avoid wastage.
abstractGer	This paper applies Monte Carlo simulation method to estimate the reliability of bored pile for designing problem at “Tax Office of Phu Nhuan District”. Surveyed random variables are physico-mechanical properties of soil and loads are assumed that they follow the normal distribution. Limit state functions developed from design requirements of Ultimate limit state (ULS) and Serviceability limit state (SLS). Results show that the probability of failure is 0 and the reliability index of ULS is 9.493 and of SLS is 37.076 when examining coefficient of variation of soil and loads of 10%. The paper also considers the safety level when evaluating different coefficients of variation in the range of 10 ~30%. The authors suggest applying the reliability method to design calculation for other construction to help the engineers have a visual perspective, increase safety and avoid wastage.
abstract_unstemmed	This paper applies Monte Carlo simulation method to estimate the reliability of bored pile for designing problem at “Tax Office of Phu Nhuan District”. Surveyed random variables are physico-mechanical properties of soil and loads are assumed that they follow the normal distribution. Limit state functions developed from design requirements of Ultimate limit state (ULS) and Serviceability limit state (SLS). Results show that the probability of failure is 0 and the reliability index of ULS is 9.493 and of SLS is 37.076 when examining coefficient of variation of soil and loads of 10%. The paper also considers the safety level when evaluating different coefficients of variation in the range of 10 ~30%. The authors suggest applying the reliability method to design calculation for other construction to help the engineers have a visual perspective, increase safety and avoid wastage.
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title_short	Application of monte carlo simulation method to estimate the reliability of design problem of the bored pile according to limited state
url	https://doaj.org/article/611afa9429e447e2b5877220a5fdaaa5 https://journalofscience.ou.edu.vn/index.php/tech-en/article/view/378 https://doaj.org/toc/2734-9330 https://doaj.org/toc/2734-9608
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Application of monte carlo simulation method to estimate the reliability of design problem of the bored pile according to limited state

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