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Prediction of ultimate bearing capacity of shallow foundations on cohesionless soils: An evolutionary approach
This study proposes an innovative mathematical formula that uses multigene Genetic Programming (GP), a recently developed soft computing technique, to predict the ultimate bearing capacity of shallow foundations on cohesionless soils. The real performance of previously developed approaches is also i...
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Published in: | KSCE journal of civil engineering 2012, 16(6), , pp.950-957 |
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container_title | KSCE journal of civil engineering |
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creator | Shahnazari, Habib Tutunchian, Mohammad A. |
description | This study proposes an innovative mathematical formula that uses multigene Genetic Programming (GP), a recently developed soft computing technique, to predict the ultimate bearing capacity of shallow foundations on cohesionless soils. The real performance of previously developed approaches is also investigated. The multigene GP-based formula was calibrated and validated using an experimental database consisting of approximately one hundred load tests. One half of the data was obtained from full-scale foundations and the other half was obtained from small-scale laboratory footing load tests. The results revealed that the proposed formula by multigene GP could predict the ultimate bearing capacity precisely under the described conditions with a coefficient of correlation of about 98%. Additionally, a comprehensive parametric study on the proposed multigene GP-based formula was conducted to confirm the new methodology’s geotechnical aspects. |
doi_str_mv | 10.1007/s12205-012-1651-0 |
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source | ScienceDirect; Springer Nature |
subjects | Bearing capacity Calibration Civil Engineering Cohesionless soils Engineering Formulas (mathematics) Foundations Genetic algorithms Geotechnical Engineering & Applied Earth Sciences Industrial Pollution Prevention Load tests Mathematical models Research Paper Shallow foundations Soft computing 토목공학 |
title | Prediction of ultimate bearing capacity of shallow foundations on cohesionless soils: An evolutionary approach |
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