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Application of an evolutionary-based approach in evaluating pile bearing capacity using CPT results
Predicting ultimate axial bearing capacity of pile foundations is an important and complicated problem in geotechnical engineering. Cone penetration test (CPT) is a reliable in situ test widely used in the analysis and design of pile foundations. In this study, new CPT-based axial pile bearing capac...
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Published in: | Ships and offshore structures 2017-10, Vol.12 (7), p.937-953 |
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creator | Ebrahimian, Babak Movahed, Vahid |
description | Predicting ultimate axial bearing capacity of pile foundations is an important and complicated problem in geotechnical engineering. Cone penetration test (CPT) is a reliable in situ test widely used in the analysis and design of pile foundations. In this study, new CPT-based axial pile bearing capacity models are presented for both cohesionless and cohesive soils using evolutionary polynomial regression (EPR), a branch of evolutionary approaches. A relatively comprehensive database is gathered and divided into training and testing sub-sets to avoid over-fitting. This database includes both coarse and fine grain soils, cone tip resistance and sleeve friction of CPTs, geometry and bearing capacity of piles. The presented models are compared to some previously published ones and their preferences are demonstrated statistically and probabilistically. Proper applicability of the models in predicting axial pile bearing capacity is then confirmed by field verification, compared to analytical and empirical models available in the literature. |
doi_str_mv | 10.1080/17445302.2015.1116243 |
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Cone penetration test (CPT) is a reliable in situ test widely used in the analysis and design of pile foundations. In this study, new CPT-based axial pile bearing capacity models are presented for both cohesionless and cohesive soils using evolutionary polynomial regression (EPR), a branch of evolutionary approaches. A relatively comprehensive database is gathered and divided into training and testing sub-sets to avoid over-fitting. This database includes both coarse and fine grain soils, cone tip resistance and sleeve friction of CPTs, geometry and bearing capacity of piles. The presented models are compared to some previously published ones and their preferences are demonstrated statistically and probabilistically. 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Cone penetration test (CPT) is a reliable in situ test widely used in the analysis and design of pile foundations. In this study, new CPT-based axial pile bearing capacity models are presented for both cohesionless and cohesive soils using evolutionary polynomial regression (EPR), a branch of evolutionary approaches. A relatively comprehensive database is gathered and divided into training and testing sub-sets to avoid over-fitting. This database includes both coarse and fine grain soils, cone tip resistance and sleeve friction of CPTs, geometry and bearing capacity of piles. The presented models are compared to some previously published ones and their preferences are demonstrated statistically and probabilistically. Proper applicability of the models in predicting axial pile bearing capacity is then confirmed by field verification, compared to analytical and empirical models available in the literature.</description><subject>Bearing capacity</subject><subject>Building construction</subject><subject>Cohesion</subject><subject>Cohesive soils</subject><subject>cone penetration test</subject><subject>Design</subject><subject>Design analysis</subject><subject>Design engineering</subject><subject>Empirical analysis</subject><subject>evolutionary polynomial regression</subject><subject>Fittings</subject><subject>Friction</subject><subject>Friction resistance</subject><subject>Geotechnical engineering</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Penetration</subject><subject>pile foundation</subject><subject>Pile foundations</subject><subject>Piles</subject><subject>Regression analysis</subject><subject>Soil</subject><subject>Soil bearing capacity</subject><subject>statistical analysis</subject><subject>Testing</subject><subject>Training</subject><issn>1744-5302</issn><issn>1754-212X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp9UE1Lw0AQDaJgrf4EYcFz6s5-JNmbpfgFBT1U8LZMNhtN2WbjbqL035vQevU085j33sy8JLkGugBa0FvIhZCcsgWjIBcAkDHBT5IZ5FKkDNj76dQLkU6k8-Qixi2lMi8KMUvMsutcY7BvfEt8TbAl9tu7YcIY9mmJ0VYEuy54NJ-kmcbohpHffpCucZaUFsMEDHZomn5PhjjB1euGBBsH18fL5KxGF-3Vsc6Tt4f7zeopXb88Pq-W69RwXvQpEyrLQIKkUpVZVeQVGGGQ2dwi1MqKrC5RGcONElxBhVCUpaxVRhlSlmd8ntwcfMdjvwYbe731Q2jHlRoUzRSnkqmRJQ8sE3yMwda6C81u_FUD1VOe-i9PPeWpj3mOuruDrmlrH3b444OrdI9750MdsDVN1Px_i18AI3zh</recordid><startdate>20171003</startdate><enddate>20171003</enddate><creator>Ebrahimian, Babak</creator><creator>Movahed, Vahid</creator><general>Taylor & Francis</general><general>Taylor & Francis Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TN</scope><scope>F1W</scope><scope>H96</scope><scope>L.G</scope></search><sort><creationdate>20171003</creationdate><title>Application of an evolutionary-based approach in evaluating pile bearing capacity using CPT results</title><author>Ebrahimian, Babak ; Movahed, Vahid</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c338t-249661515059b6d87d1c4ca2e7ea1f9e46fba9cc3c94391da18bb5f9602a02763</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Bearing capacity</topic><topic>Building construction</topic><topic>Cohesion</topic><topic>Cohesive soils</topic><topic>cone penetration test</topic><topic>Design</topic><topic>Design analysis</topic><topic>Design engineering</topic><topic>Empirical analysis</topic><topic>evolutionary polynomial regression</topic><topic>Fittings</topic><topic>Friction</topic><topic>Friction resistance</topic><topic>Geotechnical engineering</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>Penetration</topic><topic>pile foundation</topic><topic>Pile foundations</topic><topic>Piles</topic><topic>Regression analysis</topic><topic>Soil</topic><topic>Soil bearing capacity</topic><topic>statistical analysis</topic><topic>Testing</topic><topic>Training</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ebrahimian, Babak</creatorcontrib><creatorcontrib>Movahed, Vahid</creatorcontrib><collection>CrossRef</collection><collection>Oceanic Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Ships and offshore structures</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ebrahimian, Babak</au><au>Movahed, Vahid</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Application of an evolutionary-based approach in evaluating pile bearing capacity using CPT results</atitle><jtitle>Ships and offshore structures</jtitle><date>2017-10-03</date><risdate>2017</risdate><volume>12</volume><issue>7</issue><spage>937</spage><epage>953</epage><pages>937-953</pages><issn>1744-5302</issn><eissn>1754-212X</eissn><abstract>Predicting ultimate axial bearing capacity of pile foundations is an important and complicated problem in geotechnical engineering. Cone penetration test (CPT) is a reliable in situ test widely used in the analysis and design of pile foundations. In this study, new CPT-based axial pile bearing capacity models are presented for both cohesionless and cohesive soils using evolutionary polynomial regression (EPR), a branch of evolutionary approaches. A relatively comprehensive database is gathered and divided into training and testing sub-sets to avoid over-fitting. This database includes both coarse and fine grain soils, cone tip resistance and sleeve friction of CPTs, geometry and bearing capacity of piles. The presented models are compared to some previously published ones and their preferences are demonstrated statistically and probabilistically. 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subjects | Bearing capacity Building construction Cohesion Cohesive soils cone penetration test Design Design analysis Design engineering Empirical analysis evolutionary polynomial regression Fittings Friction Friction resistance Geotechnical engineering Mathematical analysis Mathematical models Penetration pile foundation Pile foundations Piles Regression analysis Soil Soil bearing capacity statistical analysis Testing Training |
title | Application of an evolutionary-based approach in evaluating pile bearing capacity using CPT results |
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