Powerful Software to Simulate Soil Consolidation Problems with Prefabricated Vertical Drains

García‐Ros, Gonzalo; Alhama, Iván; Cánovas, Manuel

doi:10.3390/w10030242

Cited by 11 publications

(10 citation statements)

References 23 publications

(27 reference statements)

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“…It means that the influence of the dewatering process plays a significant role in the appearance of deformation in building components. García-Ros et al [11] explain the program emulates consolidation with Vertical Drains, which is a tool for solving in heterogeneous soils with totally or partially penetrating prefabricated vertical drains. The code Next-Generation Simulation Software with Integrated Circuit Focus was used as a computational method, while the Matrix Laboratory (MATLAB) code was used to program and construct an interface with the user via interactive screens in order to provide a fully free program.…”

Section: Numerical Analysis Of Dewatering Processmentioning

confidence: 99%

Dewatering System Control by MATLAB Software

Mohammed

Shiekha

2021

E3S Web Conf.

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The aim was to design a MATLAB program to calculate the phreatic surface of the multi-well system and present the graphical shape of the water table drawdown induced by water extraction. Dupuit’s assumption is the base for representing the dewatering curve. The program will offer the volume of water to be extracted, the total number of wells, and the spacing between them as well as the expected settlement of soil surrounding the dewatering foundation pit. The dewatering well arrangement is required in execution works, and it needs more attention due to the settlement produced from increasing effective stress.

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Section: Numerical Analysis Of Dewatering Processmentioning

confidence: 99%

Dewatering System Control by MATLAB Software

Mohammed

Shiekha

2021

E3S Web Conf.

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“…, 2012; Duncan, 1993; Britto et al. , 1989), and the available software (García-Ros et al ., 2018c). For example, the parameters in the consolidation model can be reduced to the smallest number that best helps the researcher manage the solution by the non-dimensionalization techniques, resulting in an accurate solution to the problem (García-Ros et al.…”

Section: Introductionmentioning

confidence: 99%

Physics-informed neural networks for consolidation of soils

Zhang

Lan²,

Li³

et al. 2022

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PurposePrediction of excess pore water pressure and estimation of soil parameters are the two key interests for consolidation problems, which can be mathematically quantified by a set of partial differential equations (PDEs). Generally, there are challenges in solving these two issues using traditional numerical algorithms, while the conventional data-driven methods require massive data sets for training and exhibit negative generalization potential. This paper aims to employ the physics-informed neural networks (PINNs) for solving both the forward and inverse problems.Design/methodology/approachA typical consolidation problem with continuous drainage boundary conditions is firstly considered. The PINNs, analytical, and finite difference method (FDM) solutions are compared for the forward problem, and the estimation of the interface parameters involved in the problem is discussed for the inverse problem. Furthermore, the authors also explore the effects of hyperparameters and noisy data on the performance of forward and inverse problems, respectively. Finally, the PINNs method is applied to the more complex consolidation problems.FindingsThe overall results indicate the excellent performance of the PINNs method in solving consolidation problems with various drainage conditions. The PINNs can provide new ideas with a broad application prospect to solve PDEs in the field of geotechnical engineering, and also exhibit a certain degree of noise resistance for estimating the soil parameters.Originality/valueThis study presents the potential application of PINNs for the consolidation of soils. Such a machine learning algorithm helps to obtain remarkably accurate solutions and reliable parameter estimations with fewer and average-quality data, which is beneficial in engineering practice.

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“…Nevertheless, in most problems, the significant phenomenon of seepage happens close to the retaining structure, so using a constant reticulation means that either very small cells are being used in areas where the calculated information is not relevant or very big cells next to the most important region of the problem. This shortcoming is solved using a non-constant discretization, as the size of the cell can be adapted according to the needs (Huber and Helmig, 2000;Schroth et al, 1998;García-Ros et al, 2018a). This kind of variable reticulation presents another advantage: when calculating the pressure on the retaining structure due to the water flow; smaller cells are needed to simulate the contact surface between the structure and the soil; and as the information involved for these calculations is taken from these cells.…”

Section: Introductionmentioning

confidence: 99%

A different approach to the network method: continuity equation in flow through porous media under retaining structures

Martínez‐Moreno

García‐Ros

Alhama

2020

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Purpose This study aims to present a new numerical model for the simulation of water flow through porous media of anisotropic character, based on the network simulation method and with the use of the free code Ngspice. Design/methodology/approach For its design, it starts directly from the flow conservation equation, which presents several advantages in relation to the numerical simulation of the governing equation in terms of the potential head. The model provides very precise solutions of streamlines and potential patterns in all cases, with relatively small meshes and acceptable calculation times, both essential characteristics when developing a computational tool for engineering purposes. The model has been successfully verified with analytical results for non-penetrating dams in isotropic media. Findings Applications of the model are presented for the construction of the flow nets, calculation of uplift pressures, infiltrated flow and average exit gradient in anisotropic scenarios with penetrating dams with and without sheet piles, being all this output information part of the decision process in ground engineering problems involving these retaining structures. Originality/value This study presents, for the first time, a numerical network model for seepage problems that is not obtained from the Laplace's governing equation, but from the water flow conservation continuity equation.

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Powerful Software to Simulate Soil Consolidation Problems with Prefabricated Vertical Drains

Cited by 11 publications

References 23 publications

Dewatering System Control by MATLAB Software

Dewatering System Control by MATLAB Software

Physics-informed neural networks for consolidation of soils

A different approach to the network method: continuity equation in flow through porous media under retaining structures

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