Bearing capacity analysis of offshore pipe piles with CPTs by considering uncertainly
Bearing capacity of offshore pipe pile is difficult to predict due to the soil variability and uncertainly associated with the field investigation and soil-pile interactions. This paper examines factors affected prediction errors of bearing capacity based on the in-situ cone penetration test (CPT) r...
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description | Bearing capacity of offshore pipe pile is difficult to predict due to the soil variability and uncertainly associated with the field investigation and soil-pile interactions. This paper examines factors affected prediction errors of bearing capacity based on the in-situ cone penetration test (CPT) results for pipe piles. The uncertainly of transformation, geomaterials and field experiments were characterized with 33 experimental bearing capacity test results. A modified CPT based bearing capacity calculation approach was proposed by a probability evaluation method. A field full-scale bearing capacity test for offshore pipe piles was carried out. The test results were presented and discussed. Then, the American Petroleum Institute (API) and Det Norske Veritas (DNV) and the proposed modified approach were used to verify with the measurement results. Through the comparative analysis, it shown that the API approach has better performance than the DNV method for this field project case. However, both the API and DNV approaches have prediction errors greater than 5.3% which is higher than that from the modified approach. Apart from that, the modified approach could indicate results with various confidence intervals, which would helpful for the design of pipe piles. |
doi_str_mv | 10.1016/j.compgeo.2020.103731 |
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This paper examines factors affected prediction errors of bearing capacity based on the in-situ cone penetration test (CPT) results for pipe piles. The uncertainly of transformation, geomaterials and field experiments were characterized with 33 experimental bearing capacity test results. A modified CPT based bearing capacity calculation approach was proposed by a probability evaluation method. A field full-scale bearing capacity test for offshore pipe piles was carried out. The test results were presented and discussed. Then, the American Petroleum Institute (API) and Det Norske Veritas (DNV) and the proposed modified approach were used to verify with the measurement results. Through the comparative analysis, it shown that the API approach has better performance than the DNV method for this field project case. However, both the API and DNV approaches have prediction errors greater than 5.3% which is higher than that from the modified approach. Apart from that, the modified approach could indicate results with various confidence intervals, which would helpful for the design of pipe piles.</description><identifier>ISSN: 0266-352X</identifier><identifier>EISSN: 1873-7633</identifier><identifier>DOI: 10.1016/j.compgeo.2020.103731</identifier><language>eng</language><publisher>New York: Elsevier Ltd</publisher><subject>Bayesian approach ; Bearing capacity ; Comparative analysis ; Cone penetration test ; Cone penetration tests ; Confidence intervals ; Errors ; Field investigations ; Field tests ; Geomaterials ; Monopile capacity ; Offshore ; Petroleum ; Piles ; Pipe piles ; Probability theory ; Soil ; Soil investigations ; Soil plug effect ; Soil-pile interaction ; Soils ; Statistical analysis ; Uncertainty</subject><ispartof>Computers and geotechnics, 2020-10, Vol.126, p.103731, Article 103731</ispartof><rights>2020 Elsevier Ltd</rights><rights>Copyright Elsevier BV Oct 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c337t-c8b9ff2e5667f8a353d7c6dc41a9abc50c2a94963987bcad875ec09e5f53060b3</citedby><cites>FETCH-LOGICAL-c337t-c8b9ff2e5667f8a353d7c6dc41a9abc50c2a94963987bcad875ec09e5f53060b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.compgeo.2020.103731$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3541,27915,27916,45986</link.rule.ids></links><search><creatorcontrib>Xu, Dong-sheng</creatorcontrib><creatorcontrib>Liu, Zhuo-wen</creatorcontrib><creatorcontrib>Chen, Bo</creatorcontrib><creatorcontrib>Xu, Xue-yong</creatorcontrib><title>Bearing capacity analysis of offshore pipe piles with CPTs by considering uncertainly</title><title>Computers and geotechnics</title><description>Bearing capacity of offshore pipe pile is difficult to predict due to the soil variability and uncertainly associated with the field investigation and soil-pile interactions. This paper examines factors affected prediction errors of bearing capacity based on the in-situ cone penetration test (CPT) results for pipe piles. The uncertainly of transformation, geomaterials and field experiments were characterized with 33 experimental bearing capacity test results. A modified CPT based bearing capacity calculation approach was proposed by a probability evaluation method. A field full-scale bearing capacity test for offshore pipe piles was carried out. The test results were presented and discussed. Then, the American Petroleum Institute (API) and Det Norske Veritas (DNV) and the proposed modified approach were used to verify with the measurement results. Through the comparative analysis, it shown that the API approach has better performance than the DNV method for this field project case. However, both the API and DNV approaches have prediction errors greater than 5.3% which is higher than that from the modified approach. Apart from that, the modified approach could indicate results with various confidence intervals, which would helpful for the design of pipe piles.</description><subject>Bayesian approach</subject><subject>Bearing capacity</subject><subject>Comparative analysis</subject><subject>Cone penetration test</subject><subject>Cone penetration tests</subject><subject>Confidence intervals</subject><subject>Errors</subject><subject>Field investigations</subject><subject>Field tests</subject><subject>Geomaterials</subject><subject>Monopile capacity</subject><subject>Offshore</subject><subject>Petroleum</subject><subject>Piles</subject><subject>Pipe piles</subject><subject>Probability theory</subject><subject>Soil</subject><subject>Soil investigations</subject><subject>Soil plug effect</subject><subject>Soil-pile interaction</subject><subject>Soils</subject><subject>Statistical analysis</subject><subject>Uncertainty</subject><issn>0266-352X</issn><issn>1873-7633</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNqFkF9LwzAUxYMoOKcfQQj43Jk2TdI8iQ7_gaAPG_gW0vRmS9mamnRKv72t3btwuRcu5xw4P4SuU7JIScpv64Xx-3YDfpGRbPxRQdMTNEsLQRPBKT1FM5JxnlCWfZ6jixhrMvhkIWdo_QA6uGaDjW61cV2PdaN3fXQRezuMjVsfALeuHdcOIv5x3RYvP1YRlz02vomugr-EQ2MgdNo1u_4SnVm9i3B1vHO0fnpcLV-St_fn1-X9W2IoFV1iilJamwHjXNhCU0YrYXhl8lRLXRpGTKZlLjmVhSiNrgrBwBAJzDJKOCnpHN1MuW3wXweInar9IQwFosryvJCMsZwOKjapTPAxBrCqDW6vQ69SokaCqlZHgmokqCaCg-9u8sFQ4dtBUNE4GFpWLoDpVOXdPwm_XTJ9Qg</recordid><startdate>202010</startdate><enddate>202010</enddate><creator>Xu, Dong-sheng</creator><creator>Liu, Zhuo-wen</creator><creator>Chen, Bo</creator><creator>Xu, Xue-yong</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H96</scope><scope>JQ2</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>202010</creationdate><title>Bearing capacity analysis of offshore pipe piles with CPTs by considering uncertainly</title><author>Xu, Dong-sheng ; Liu, Zhuo-wen ; Chen, Bo ; Xu, Xue-yong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c337t-c8b9ff2e5667f8a353d7c6dc41a9abc50c2a94963987bcad875ec09e5f53060b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Bayesian approach</topic><topic>Bearing capacity</topic><topic>Comparative analysis</topic><topic>Cone penetration test</topic><topic>Cone penetration tests</topic><topic>Confidence intervals</topic><topic>Errors</topic><topic>Field investigations</topic><topic>Field tests</topic><topic>Geomaterials</topic><topic>Monopile capacity</topic><topic>Offshore</topic><topic>Petroleum</topic><topic>Piles</topic><topic>Pipe piles</topic><topic>Probability theory</topic><topic>Soil</topic><topic>Soil investigations</topic><topic>Soil plug effect</topic><topic>Soil-pile interaction</topic><topic>Soils</topic><topic>Statistical analysis</topic><topic>Uncertainty</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xu, Dong-sheng</creatorcontrib><creatorcontrib>Liu, Zhuo-wen</creatorcontrib><creatorcontrib>Chen, Bo</creatorcontrib><creatorcontrib>Xu, Xue-yong</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Computers and geotechnics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xu, Dong-sheng</au><au>Liu, Zhuo-wen</au><au>Chen, Bo</au><au>Xu, Xue-yong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Bearing capacity analysis of offshore pipe piles with CPTs by considering uncertainly</atitle><jtitle>Computers and geotechnics</jtitle><date>2020-10</date><risdate>2020</risdate><volume>126</volume><spage>103731</spage><pages>103731-</pages><artnum>103731</artnum><issn>0266-352X</issn><eissn>1873-7633</eissn><abstract>Bearing capacity of offshore pipe pile is difficult to predict due to the soil variability and uncertainly associated with the field investigation and soil-pile interactions. This paper examines factors affected prediction errors of bearing capacity based on the in-situ cone penetration test (CPT) results for pipe piles. The uncertainly of transformation, geomaterials and field experiments were characterized with 33 experimental bearing capacity test results. A modified CPT based bearing capacity calculation approach was proposed by a probability evaluation method. A field full-scale bearing capacity test for offshore pipe piles was carried out. The test results were presented and discussed. Then, the American Petroleum Institute (API) and Det Norske Veritas (DNV) and the proposed modified approach were used to verify with the measurement results. Through the comparative analysis, it shown that the API approach has better performance than the DNV method for this field project case. However, both the API and DNV approaches have prediction errors greater than 5.3% which is higher than that from the modified approach. Apart from that, the modified approach could indicate results with various confidence intervals, which would helpful for the design of pipe piles.</abstract><cop>New York</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.compgeo.2020.103731</doi></addata></record> |
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subjects | Bayesian approach Bearing capacity Comparative analysis Cone penetration test Cone penetration tests Confidence intervals Errors Field investigations Field tests Geomaterials Monopile capacity Offshore Petroleum Piles Pipe piles Probability theory Soil Soil investigations Soil plug effect Soil-pile interaction Soils Statistical analysis Uncertainty |
title | Bearing capacity analysis of offshore pipe piles with CPTs by considering uncertainly |
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