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Prediction of Ultimate Bearing Capacity of Shallow Foundations on Cohesionless Soils: An Evolutionary Approach

机译:无粘性土浅基础极限承载力的预测:一种进化方法

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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.
机译:这项研究提出了一种创新的数学公式,该公式使用了最近开发的软计算技术多基因遗传编程(GP)来预测无粘性土壤上浅层基础的极限承载力。还研究了以前开发的方法的实际性能。基于多基因GP的公式已使用包含大约一百次负载测试的实验数据库进行了校准和验证。数据的一半来自全面基础,另一半则来自小型实验室基础负载测试。结果表明,由多基因GP提出的公式可以在所述条件下准确预测极限承载力,相关系数约为98%。此外,对拟议的基于多基因GP的公式进行了全面的参数研究,以确认新方法论的岩土方面。

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