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Prediction of Uplift Capacity of Cylindrical Caissons in Anisotropic and Inhomogeneous Clays Using Multivariate Adaptive Regression Splines

Author

Listed:
  • Thira Jearsiripongkul

    (Department of Mechanical Engineering, Faculty of Engineering, Thammasat School of Engineering, Thammasat University, Pathumthani 12120, Thailand)

  • Van Qui Lai

    (Faculty of Civil Engineering, Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet Street, District 10, Ho Chi Minh City 700000, Vietnam
    Vietnam National University Ho Chi Minh City (VNU-HCM), Linh Trung Ward, Thu Duc District, Ho Chi Minh City 700000, Vietnam)

  • Suraparb Keawsawasvong

    (Department of Civil Engineering, Faculty of Engineering, Thammasat School of Engineering, Thammasat University, Pathumthani 12120, Thailand)

  • Thanh Son Nguyen

    (Faculty of Civil Engineering, Mien Trung of Civil Engineering, Tuy Hoa City 620000, Vietnam)

  • Chung Nguyen Van

    (Faculty of Civil Engineering, Ho Chi Minh City University of Technology and Education, Ho Chi Minh City 71307, Vietnam)

  • Chanachai Thongchom

    (Department of Civil Engineering, Faculty of Engineering, Thammasat School of Engineering, Thammasat University, Pathumthani 12120, Thailand)

  • Peem Nuaklong

    (Department of Civil Engineering, Faculty of Engineering, Thammasat School of Engineering, Thammasat University, Pathumthani 12120, Thailand)

Abstract

The uplift capacity factor of cylindrical suction caisson in anisotropic and inhomogeneous clays considering the adhesion factor at the interface is investigated in this paper. The finite element limit analysis based on lower bound and upper bound analyses is used for analyzing purposes. The anisotropic undrained shear model is employed to describe the anisotropic and inhomogeneous clay. The impact of these dimensionless parameters on the ratio of inhomogeneity or strength gradient ratio, the adhesion factor, the ratio of depth over diameter, and the ratio of anisotropic undrained shear strengths on the uplift resistance and the collapse mechanisms of suction caisson foundations are determined. The multivariate adaptive regression splines technique is employed to access the sensitivity of all considered dimensionless parameters on the uplift capacity factor and to propose an empirical design equation as an effective tool for predicting the uplift capacity factor. The results presented in this paper can be guidance for the preliminary design of suction caissons in anisotropic and non-homogeneous clays that are useful for engineering practitioners.

Suggested Citation

  • Thira Jearsiripongkul & Van Qui Lai & Suraparb Keawsawasvong & Thanh Son Nguyen & Chung Nguyen Van & Chanachai Thongchom & Peem Nuaklong, 2022. "Prediction of Uplift Capacity of Cylindrical Caissons in Anisotropic and Inhomogeneous Clays Using Multivariate Adaptive Regression Splines," Sustainability, MDPI, vol. 14(8), pages 1-21, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:8:p:4456-:d:789769
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    References listed on IDEAS

    as
    1. Sayan Sirimontree & Thira Jearsiripongkul & Van Qui Lai & Alireza Eskandarinejad & Jintara Lawongkerd & Sorawit Seehavong & Chanachai Thongchom & Peem Nuaklong & Suraparb Keawsawasvong, 2022. "Prediction of Penetration Resistance of a Spherical Penetrometer in Clay Using Multivariate Adaptive Regression Splines Model," Sustainability, MDPI, vol. 14(6), pages 1-16, March.
    Full references (including those not matched with items on IDEAS)

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