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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Bibliographic Details
Published in:KSCE journal of civil engineering 2012, 16(6), , pp.950-957
Main Authors: Shahnazari, Habib, Tutunchian, Mohammad A.
Format: Article
Language:English
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
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Summary: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.
ISSN:1226-7988
1976-3808
DOI:10.1007/s12205-012-1651-0