Reliability Assessment of a Full-ocean-depth Pressure-retaining Sediment Sampler Using Fault Tree Analysis

Seabed sediment samples are vital to the study of marine geology, microbial communities, and the history of life on earth, and pressure-retaining samplers are fundamental to obtaining sediment samples while maintaining in situ conditions. Due to the harsh environment, with extremely high pressures,...

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Autores principales: Shudong He, Youduo Peng, Yongping Jin, Xiong Shu, Buyan Wan
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Lenguaje:EN
Publicado: Tamkang University Press 2021
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spelling oai:doaj.org-article:c61ca440be2b4a2fb971640bc6d26fed2021-11-23T14:49:33ZReliability Assessment of a Full-ocean-depth Pressure-retaining Sediment Sampler Using Fault Tree Analysis10.6180/jase.202202_25(1).00182708-99672708-9975https://doaj.org/article/c61ca440be2b4a2fb971640bc6d26fed2021-11-01T00:00:00Zhttp://jase.tku.edu.tw/articles/jase-202202-25-1-0018https://doaj.org/toc/2708-9967https://doaj.org/toc/2708-9975Seabed sediment samples are vital to the study of marine geology, microbial communities, and the history of life on earth, and pressure-retaining samplers are fundamental to obtaining sediment samples while maintaining in situ conditions. Due to the harsh environment, with extremely high pressures, low temperatures, and no light, samplers can easily fail as structural components are stressed beyond their limits. Therefore, it is essential to develop a pressure-retaining sampler with high reliability. In this paper, a sediment sampler that we developed was used as the research object. A fault tree model of the sampler was established using the fault tree analysis method, and the failure rate, reliability, and importance index of each component in the sampler were calculated under different working conditions. The results showed that the sampler’s O-ring seals were the component most likely to fail, with failure rates as high as 29.86. Furthermore, as operational time increased, the reliability of the sampler gradually decreased. Under ultra-high pressure, the reliability index decreased from 90.97 % after running for 1000 hours to 35.30 % after running for 11000 hours. These new discoveries have provided important insight for increasing the robustness of the design and establishing maintenance priorities for samplers to ensure high reliability.Shudong HeYouduo PengYongping JinXiong ShuBuyan WanTamkang University Pressarticledeep-sea samplerpressure-retainingreliabilityfault tree modelfailure ratesEngineering (General). Civil engineering (General)TA1-2040Chemical engineeringTP155-156PhysicsQC1-999ENJournal of Applied Science and Engineering, Vol 25, Iss 1, Pp 173-185 (2021)
institution DOAJ
collection DOAJ
language EN
topic deep-sea sampler
pressure-retaining
reliability
fault tree model
failure rates
Engineering (General). Civil engineering (General)
TA1-2040
Chemical engineering
TP155-156
Physics
QC1-999
spellingShingle deep-sea sampler
pressure-retaining
reliability
fault tree model
failure rates
Engineering (General). Civil engineering (General)
TA1-2040
Chemical engineering
TP155-156
Physics
QC1-999
Shudong He
Youduo Peng
Yongping Jin
Xiong Shu
Buyan Wan
Reliability Assessment of a Full-ocean-depth Pressure-retaining Sediment Sampler Using Fault Tree Analysis
description Seabed sediment samples are vital to the study of marine geology, microbial communities, and the history of life on earth, and pressure-retaining samplers are fundamental to obtaining sediment samples while maintaining in situ conditions. Due to the harsh environment, with extremely high pressures, low temperatures, and no light, samplers can easily fail as structural components are stressed beyond their limits. Therefore, it is essential to develop a pressure-retaining sampler with high reliability. In this paper, a sediment sampler that we developed was used as the research object. A fault tree model of the sampler was established using the fault tree analysis method, and the failure rate, reliability, and importance index of each component in the sampler were calculated under different working conditions. The results showed that the sampler’s O-ring seals were the component most likely to fail, with failure rates as high as 29.86. Furthermore, as operational time increased, the reliability of the sampler gradually decreased. Under ultra-high pressure, the reliability index decreased from 90.97 % after running for 1000 hours to 35.30 % after running for 11000 hours. These new discoveries have provided important insight for increasing the robustness of the design and establishing maintenance priorities for samplers to ensure high reliability.
format article
author Shudong He
Youduo Peng
Yongping Jin
Xiong Shu
Buyan Wan
author_facet Shudong He
Youduo Peng
Yongping Jin
Xiong Shu
Buyan Wan
author_sort Shudong He
title Reliability Assessment of a Full-ocean-depth Pressure-retaining Sediment Sampler Using Fault Tree Analysis
title_short Reliability Assessment of a Full-ocean-depth Pressure-retaining Sediment Sampler Using Fault Tree Analysis
title_full Reliability Assessment of a Full-ocean-depth Pressure-retaining Sediment Sampler Using Fault Tree Analysis
title_fullStr Reliability Assessment of a Full-ocean-depth Pressure-retaining Sediment Sampler Using Fault Tree Analysis
title_full_unstemmed Reliability Assessment of a Full-ocean-depth Pressure-retaining Sediment Sampler Using Fault Tree Analysis
title_sort reliability assessment of a full-ocean-depth pressure-retaining sediment sampler using fault tree analysis
publisher Tamkang University Press
publishDate 2021
url https://doaj.org/article/c61ca440be2b4a2fb971640bc6d26fed
work_keys_str_mv AT shudonghe reliabilityassessmentofafulloceandepthpressureretainingsedimentsamplerusingfaulttreeanalysis
AT youduopeng reliabilityassessmentofafulloceandepthpressureretainingsedimentsamplerusingfaulttreeanalysis
AT yongpingjin reliabilityassessmentofafulloceandepthpressureretainingsedimentsamplerusingfaulttreeanalysis
AT xiongshu reliabilityassessmentofafulloceandepthpressureretainingsedimentsamplerusingfaulttreeanalysis
AT buyanwan reliabilityassessmentofafulloceandepthpressureretainingsedimentsamplerusingfaulttreeanalysis
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