Prediction of ultimate bearing capacity of shallow foundations on cohesionless soils: An evolutionary approach

被引:28
|
作者
Shahnazari, Habib [1 ]
Tutunchian, Mohammad A. [1 ]
机构
[1] Iran Univ Sci & Technol, Sch Civil Engn, POB 16765-163, Tehran, Iran
关键词
multigene genetic programming; shallow foundations; ultimate bearing capacity; cohesionless soils; parametric study; LIQUEFACTION RESISTANCE; SETTLEMENT; BEHAVIOR; FOOTINGS; SAND;
D O I
10.1007/s12205-012-1651-0
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
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.
引用
收藏
页码:950 / 957
页数:8
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