Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Prediction of ultimate bearing capacity of shallow foundations on cohesionless soils: An evolutionary approach
Abstract 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.
Prediction of ultimate bearing capacity of shallow foundations on cohesionless soils: An evolutionary approach
Abstract 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.
Prediction of ultimate bearing capacity of shallow foundations on cohesionless soils: An evolutionary approach
Shahnazari, Habib (Autor:in) / Tutunchian, Mohammad A. (Autor:in)
KSCE Journal of Civil Engineering ; 16 ; 950-957
01.09.2012
8 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Bearing Capacity of Shallow Foundations on Cohesionless Soils: A Random Forest Based Approach
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