Regularized SPH model for soil–structure interaction with generalized frictional boundary
Abstract This paper proposes a regularized smoothed particle hydrodynamics (SPH) scheme to solve the problems of tensile instability and stress noise in large‐deformation soil–structure interaction. Particle shifting and stress regularization are combined to maintain uniform stresses and particle distributions.
Yadong Wang, Wei Wu, Chong Peng
wiley +1 more source
Abstract Accurate modeling of water flow and solute transport in unsaturated soils is of significant importance for precision agriculture, environmental protection and aquifer management. Traditional modeling approaches are considerably challenging since they require well‐defined boundaries and initial conditions.
P. Haruzi, Z. Moreno
wiley +1 more source
Sensitivity and Calibration of Three‐Dimensional SPH Formulations in Large‐Scale Landslide Modeling
Abstract Numerical prediction of landslide runout and deposition is important for estimating landslide risk and developing mitigation plans. The choice of a suitable model and its parameters and a confident calibration strategy are crucial for numerical simulations.
Shuai Li +8 more
wiley +1 more source
Abstract Large‐scale river models are being refined over coastal regions to improve the scientific understanding of coastal processes, hazards and responses to climate change. However, coarse mesh resolutions and approximations in physical representations of tidal rivers limit the performance of such models at resolving the complex flow dynamics ...
Dongyu Feng, Zeli Tan, QiZhi He
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An Improved Physics‐Informed Neural Network Algorithm for Predicting the Phreatic Line of Seepage
As new ways to solve partial differential equations (PDEs), physics‐informed neural network (PINN) algorithms have received widespread attention and have been applied in many fields of study. However, the standard PINN framework lacks sufficient seepage head data, and the method is difficult to apply effectively in seepage analysis with complex ...
Yunpeng Gao +8 more
wiley +1 more source
Progressive Failure Analysis of Soil Slope with Strain Softening Behavior Based on Peridynamics
In this study, the nonlocal, nonordinary state‐based peridynamics (NOSBPD) is introduced as a novel regularization technique to study the strain localization and progressive failure of soil slopes due to strain softening behavior. The NOSBPD formulations are introduced first, and then the strain‐softening Mohr–Coulomb model is incorporated into the ...
Chen Wang +3 more
wiley +1 more source
Regularized meshless method for antiplane piezoelectricity problems with multiple inclusions [PDF]
In this paper, solving antiplane piezoelectricity problems with multiple inclusions are attended by using the regularized meshless method (RMM). This is made possible that the troublesome singularity in the MFS disappears by employing the subtracting and
J.H. Kao, J.T. Chen, K.H. Chen
core +2 more sources
Revisiting the problem of a crack impinging on an interface: A modeling framework for the interaction between the phase field approach for brittle fracture and the interface cohesive zone model [PDF]
Artículo Open Access en el sitio web del editor. Pago por publicar en abierto.The problem of a crack impinging on an interface has been thoroughly investigated in the last three decades due to its important role in the mechanics and physics of solids. In
Paggi, Marco +1 more
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Numerical Computation, Data Analysis and Software in Mathematics and Engineering [PDF]
The present book contains 14 articles that were accepted for publication in the Special Issue “Numerical Computation, Data Analysis and Software in Mathematics and Engineering” of the MDPI journal Mathematics.
core +1 more source
Phase-field boundary conditions for the voxel finite cell method: surface-free stress analysis of CT-based bone structures [PDF]
The voxel finite cell method employs unfitted finite element meshes and voxel quadrature rules to seamlessly transfer CT data into patient-specific bone discretizations.
Baum, T. +6 more
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