Prediction of Penetration Resistance of a Spherical Penetrometer in Clay Using Multivariate Adaptive Regression Splines Model

Sustainability

Alireza Eskandarinejad¹  Jintara Lawongkerd²  Suraparb Keawsawasvong²  Sorawit Seehavong²  Chanachai Thongchom²  Peem Nuaklong²  Sayan Sirimontree²  Thira Jearsiripongkul³  Van Qui Lai⁴ 

[1] Department of Civil Engineering, Faculty of Engineering, Golestan University, Gorgan P.O. Box 155, Iran;Department of Civil Engineering, Faculty of Engineering, Thammasat School of Engineering, Thammasat University, Pathumthani 12120, Thailand;Department of Mechanical Engineering, Faculty of Engineering, Thammasat School of Engineering, Thammasat University, Pathumthani 12120, Thailand;Faculty of Civil Engineering, Ho Chi Minh City University of Technology (HCMUT), Ho Chi Minh City 700000, Vietnam;

关键词: penetration resistance;    penetrometer;    T-bar;    MARS;    limit analysis;   

DOI  :  10.3390/su14063222

来源: DOAJ

【 摘 要 】

This paper presents the technique for solving the penetration resistance factor of a spherical penetrometer in clay under axisymmetric conditions by taking the adhesion factor, the embedded ratio, the normalized unit weight, and the undrained shear strength into account. The finite element limit analysis (FELA) is used to provide the upper bound (UB) or lower bound (LB) solutions, then the multivariate adaptive regression splines (MARS) model is used to train the optimal data between input and output database. The accuracy of MARS equations is confirmed by comparison with the finite element method and the validity of the present solutions was established through comparison to existing results. All numerical results of the penetration resistance factor have significance with three main parameters (i.e., the adhesion factor, the embedded ratio, the normalized unit weight, and the undrained shear strength). The failure mechanisms of spherical penetrometers in clay are also investigated, the contour profiles that occur around the spherical penetrometers also depend on the three parameters. In addition, the proposed technique can be used to estimate the problems that are related or more complicated in soft offshore soils.

【 授权许可】

Unknown