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Search Results (6)

Search Parameters:
Authors = Sorawit Seehavong

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25 pages, 5019 KiB  
Article
Design Equations for Predicting Stability of Unlined Horseshoe Tunnels in Rock Masses
by Jintara Lawongkerd, Jim Shiau, Suraparb Keawsawasvong, Sorawit Seehavong and Pitthaya Jamsawang
Buildings 2022, 12(11), 1800; https://doi.org/10.3390/buildings12111800 - 27 Oct 2022
Cited by 8 | Viewed by 3139
Abstract
This paper aims to propose new stability equations for the design of shallow, unlined horseshoe tunnels in rock masses. The computational framework of the upper- and lower-bound finite-element limit analysis is used to numerically derive the stability solutions of this problems using the [...] Read more.
This paper aims to propose new stability equations for the design of shallow, unlined horseshoe tunnels in rock masses. The computational framework of the upper- and lower-bound finite-element limit analysis is used to numerically derive the stability solutions of this problems using the Hoek–Brown failure criterion. Five dimensionless parameters including the width ratio and the cover-depth ratio of the tunnels, as well as the normalized uniaxial compressive strength, the geological strength index, and the yield parameters of the Hoek–Brown rock masses, are considered in the study. Selected failure mechanisms of the horseshoe tunnels in rock masses are presented to portray the effect of all dimensionless parameters. New design equations for stability analyses of horseshoe tunnels are developed using the technique of nonlinear regression analysis and the average bound solutions. The proposed stability equations are highly accurate and can be used with great confidence by practitioners. Full article
(This article belongs to the Special Issue Leading-Edge in Computational Methods for Tunnelling and Underground Construction)
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20 pages, 13046 KiB  
Article
Undrained Stability of Unsupported Rectangular Excavations: Anisotropy and Non-Homogeneity in 3D
by Van Qui Lai, Jim Shiau, Suraparb Keawsawasvong, Sorawit Seehavong and Lowell Tan Cabangon
Buildings 2022, 12(9), 1425; https://doi.org/10.3390/buildings12091425 - 10 Sep 2022
Cited by 14 | Viewed by 2701
Abstract
The stability of unsupported rectangular excavations in undrained clay is examined under the influence of anisotropy and heterogeneity using the three-dimensional finite element upper and lower bound limit analysis with the Anisotropic Undrained Shear (AUS) failure criterion. Three anisotropic undrained shear strengths are [...] Read more.
The stability of unsupported rectangular excavations in undrained clay is examined under the influence of anisotropy and heterogeneity using the three-dimensional finite element upper and lower bound limit analysis with the Anisotropic Undrained Shear (AUS) failure criterion. Three anisotropic undrained shear strengths are considered in the study, namely triaxial compression, triaxial extension, and direct simple shear. Special considerations are given to the study of the linearly-increased anisotropic shear strengths with depth. The numerical solutions are presented by an undrained stability number that is a function of four dimensionless parameters, i.e., the excavated depth ratio, the aspect ratio of the excavated site, the shear strength gradient ratio, and the anisotropic strength ratio. To the authors’ best knowledge, this is the first of its kind to present the stability solutions of 3D excavation considering soil anisotropy and heterogeneity. As such, this paper introduces a novel approach for predicting the stability of unsupported rectangular excavation in undrained clays in 3D space, accounting for soil anisotropy and non-homogeneity. Notably, it develops a basis to formulate a mathematical equation and design charts for estimating the stability factor of such type of excavation, which should be of great interest to engineering practitioners. Full article
(This article belongs to the Section Construction Management, and Computers & Digitization)
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24 pages, 7756 KiB  
Article
Stability Evaluations of Unlined Horseshoe Tunnels Based on Extreme Learning Neural Network
by Thira Jearsiripongkul, Suraparb Keawsawasvong, Rungkhun Banyong, Sorawit Seehavong, Kongtawan Sangjinda, Chanachai Thongchom, Jitesh T. Chavda and Chayut Ngamkhanong
Computation 2022, 10(6), 81; https://doi.org/10.3390/computation10060081 - 24 May 2022
Cited by 20 | Viewed by 2797
Abstract
This paper presents an Artificial Neural Network (ANN)-based approach for predicting tunnel stability that is both dependable and accurate. Numerical solutions to the instability of unlined horseshoe tunnels in cohesive-frictional soils are established, primarily by employing numerical upper bound (UB) and lower bound [...] Read more.
This paper presents an Artificial Neural Network (ANN)-based approach for predicting tunnel stability that is both dependable and accurate. Numerical solutions to the instability of unlined horseshoe tunnels in cohesive-frictional soils are established, primarily by employing numerical upper bound (UB) and lower bound (LB) finite element limit analysis (FELA). The training dataset for an ANN model is made up of these numerical solutions. Four dimensionless parameters are required in the parametric analyses, namely the dimensionless overburden factor γD/c′, the cover-depth ratio C/D, the width-depth ratio B/D, and the soil friction angle ϕ. The influence of these dimensionless parameters on the stability factor is explored and illustrated in terms of a design chart. Moreover, the failure mechanisms of a shallow horseshoe tunnel in cohesive-frictional soil that is influenced by the four dimensionless parameters are also provided. Therefore, the current stability solution, based on FELA and ANN models, is presented in this paper, allowing for the efficient and accurate establishment and evaluation of an optimum surcharge loading of shallow horseshoe tunnels in practice. Full article
(This article belongs to the Special Issue Numerical Methods in Geotechnical Engineering)
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21 pages, 6825 KiB  
Article
Neural Network-Based Prediction Model for the Stability of Unlined Elliptical Tunnels in Cohesive-Frictional Soils
by Sayan Sirimontree, Suraparb Keawsawasvong, Chayut Ngamkhanong, Sorawit Seehavong, Kongtawan Sangjinda, Thira Jearsiripongkul, Chanachai Thongchom and Peem Nuaklong
Buildings 2022, 12(4), 444; https://doi.org/10.3390/buildings12040444 - 5 Apr 2022
Cited by 30 | Viewed by 2871
Abstract
The scheme for accurate and reliable predictions of tunnel stability based on an artificial aeural network (ANN) is presented in this study. Plastic solutions of the stability of unlined elliptical tunnels in sands are first derived by using numerical upper-bound (UB) and lower-bound [...] Read more.
The scheme for accurate and reliable predictions of tunnel stability based on an artificial aeural network (ANN) is presented in this study. Plastic solutions of the stability of unlined elliptical tunnels in sands are first derived by using numerical upper-bound (UB) and lower-bound (LB) finite element limit analysis (FELA). These numerical solutions are later used as the training dataset for an ANN model. Note that there are four input dimensionless parameters, including the dimensionless overburden factor γD/c′, the cover–depth ratio C/D, the width–depth ratio B/D, and the soil friction angle ϕ. The impacts of these input dimensionless parameters on the stability factor σs/c′ of the stability of shallow elliptical tunnels in sands are comprehensively examined. Some failure mechanisms are carried out to demonstrate the effects of all input parameters. The solutions will reliably and accurately provide a safety assessment of shallow elliptical tunnels. Full article
(This article belongs to the Special Issue Advances in Soils and Foundations)
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16 pages, 4809 KiB  
Article
Prediction of Penetration Resistance of a Spherical Penetrometer in Clay Using Multivariate Adaptive Regression Splines Model
by Sayan Sirimontree, Thira Jearsiripongkul, Van Qui Lai, Alireza Eskandarinejad, Jintara Lawongkerd, Sorawit Seehavong, Chanachai Thongchom, Peem Nuaklong and Suraparb Keawsawasvong
Sustainability 2022, 14(6), 3222; https://doi.org/10.3390/su14063222 - 9 Mar 2022
Cited by 26 | Viewed by 2972
Abstract
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 [...] Read more.
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. Full article
(This article belongs to the Special Issue Geotechnical Stability Analysis for Sustainable Development of Infrastructure)
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14 pages, 6576 KiB  
Article
Sinkhole Stability in Elliptical Cavity under Collapse and Blowout Conditions
by Jim Shiau, Suraparb Keawsawasvong, Bishal Chudal, Kiritharan Mahalingasivam and Sorawit Seehavong
Geosciences 2021, 11(10), 421; https://doi.org/10.3390/geosciences11100421 - 9 Oct 2021
Cited by 17 | Viewed by 3447
Abstract
Road subsidence and sinkhole failures due to shallow cavities formed by defective water main have increased in recent decades and become one of the important research topics in geotechnical engineering. The present paper numerically studies the stability and its associated failure mechanism of [...] Read more.
Road subsidence and sinkhole failures due to shallow cavities formed by defective water main have increased in recent decades and become one of the important research topics in geotechnical engineering. The present paper numerically studies the stability and its associated failure mechanism of ellipse-shaped cavity above defective water mains using the finite element limit analysis technique. For a wide range of geometrical parameters, the pressure ratio method is used to formulate the stability solutions in both blowout and collapse scenarios. Even though there is no published solution for elliptical cavities under blowout failure conditions, the obtained numerical results are compared with available circular solutions. Several conclusions are drawn based on the failure mechanism study of the various ellipse shape transformations in this study, whilst design charts and equations proposed for practical uses. Full article
(This article belongs to the Collection New Advances in Geotechnical Engineering)
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