Engineering with Computers

In this work, we present a general approach to incorporate the rate form finite elastoplasticity theory into the framework of state-based peridynamics. Specifically, we illustrate to how develop a state-based peridynamics of an associative finite ...

This work presents an efficient parallel implementation of density-based robust topology optimization (RTO) using adaptive mesh refinement (AMR) schemes permitting us to address the problem with modest computational resources. We use sparse grid ...

An improved nonintrusive parametric model order reduction (pMOR) approach is proposed for the flow field interpolation regarding fluid–structure interaction (FSI) objects. Flow field computation using computational fluid dynamics (CFD) requires ...

In this article, we are concerned with meshless methods to approximate and simulate the solution of semi-linear stochastic evolution equations. We first study the asymmetric Kansa method and then consider its regularized form. Kansa method is an ...

Failure possibility function (FPF) provides the relationship of failure possibility varying with distribution parameters of fuzzy inputs, and it is desired in the possibility-based design optimization under fuzzy uncertainty. However, estimating ...

Enrichment techniques that employ nonconforming mesh are effective in modeling structures with discontinuities because numerical issues regarding mesh quality are avoided. However, the accurate integration of the bilinear and linear forms on the ...

Three approaches for construction of a surrogate model of a result field consisting of multiple physical quantities are presented. The first approach uses direct interpolation of the result space on the input space. In the second and third ...

In this study, a physics-informed neural energy-force network (PINEFN) framework is first proposed to directly solve the optimum design of truss structures that structural analysis is completely removed from the implementation of the global ...

In this paper, a novel meshless method that can handle porous flow problems with singular source terms is developed by virtually constructing node control domains. By defining a connectable node cloud, this method uses the integral of the ...

An efficient topology optimization based on the adaptive auxiliary reduced model reanalysis (AARMR) method is proposed to improve computational efficiency and scale. In this method, a projection auxiliary reduced model (PARM) is integrated into ...

Infectious airborne diseases like the recent COVID-19 pandemic render confined spaces high-risk areas. However, in-person activities like teaching in classroom settings and government services are often expected to continue or restart quickly. It ...

This paper proposes a novel generalized nth-order perturbation isogeometric finite-element method (GNP-IGA-FEM) for uncertainty quantification of mechanical properties of piezoelectric materials. In this method, the IGA-FEM is used to simulate the ...$$

This paper proposes an algorithm to perform the inverse design of a low-frequency acoustic absorber using a deep convolutional autoencoder network. A hybrid sound-absorber configuration based on Helmholtz resonators with inserted curvy neck and ...$$

Combining performance and numerical stability is a key issue in co-simulation. The Transmission Line Modeling method uses physically motivated communication delays to ensure numerical stability for stiff connections. However, using a fixed ...

A local meshless collocation method has been designed for solving reaction–diffusion systems on surfaces. The proposed numerical procedure is based on Pascal polynomial approximation and closest point method. This method is geometrically flexible ...

In this study, we propose an efficient fixed-time increment-based numerical scheme for data-driven analysis of general multibody dynamics (MBD) problems combining deep neural network (DNN) modeling and principal component analysis (PCA), avoiding ...

This study presents a 3D peridynamic (PD) model to simulate the pyrolysis process and crack propagation of charring materials due to aerodynamic heating. The model is based on the coupled solution of the nonlinear thermal conduction with surface ...

Importance sampling methods are widely used in structural reliability analysis. However, owing to the complex shape of optimal importance sampling densities, it is usually difficult to fit the optimal importance sampling densities and sample from ...

Shear properties of fibre-reinforced polymer matrix composite materials are key design parameters in many applications of these materials. Experimental data show that a shear stress–strain curve of a cross-ply composite typically contains a ...

This paper presents the NTS-AR (node-to-segment with area regularization) method to analyze the three-dimensional dynamic frictional contact bodies under large deformation and plastic material behavior. The extended NTS-AR method considers the 3D ...

For some time-dependent structures, their failure states may be fuzzy rather than clear, leading to the so-called time-dependent profust reliability analysis. However, the studies on time-dependent profust reliability analysis are very limited at ...

This study investigates the application of physics-informed neural networks (PINN) for bending and free vibration analysis of three-dimensional functionally graded (TDFG) porous beams. The beam material properties are assumed to vary continuously ...

Modern computational science and engineering applications are being improved by advances in scientific machine learning. Data-driven methods such as dynamic mode decomposition (DMD) can extract coherent structures from spatio-temporal data ...$\mathcal{}{\mathrm{}}^{\mathrm{}}$

For enhancing the efficiency and accuracy of structural reliability estimation, a support vector machine-based pre-calculation error (PESVM) is proposed by integrating support vector machine (SVM), constraints conversion, and pre-calculation error ...

Volume decomposition is a technique to decompose a computer aided design (CAD) model into sweepable subvolumes, by which better types of mesh can be generated. A thin-shell part can be divided into a main body (thin shell) and protrusions that ...

This paper proposes a framework for implementing viscoelastic constitutive model from the classical continuum mechanics (CCM) theory within non-ordinary state-based peridynamics (NOSBPD). The motivation stems from the inadequacy of CCM to model ...

Based on two-grid discretizations, this paper introduces a parallel finite element method for the 2D/3D Navier–Stokes equations with damping. In this method, we first solve a fully nonlinear problem on a global coarse grid, and then solve ...

In this paper, we propose an efficient method suitable for 1D/2D/3D plus time wave propagation in homogeneous domains containing localized inhomogeneities. It is well-understood that the numerical solution of such problems, using finite difference ...

• A novel method for numerical wave propagation in homogeneous domains with localized inhomogeneities

• Direct solution in the time domain with less dispersion and higher efficiency compared to the finite element method

• Solving the problems ...

Modeling of hetero-agglomeration processes is invaluable for a variety of applications in particle technology. Traditionally, population balance equations (PBE) are employed; however, calculation of kinetic rates is challenging due to ...

This study presents the coupling of dual horizon bond-based, ordinary state-based and non-ordinary state-based peridynamic (PD) with traditional finite elements in ANSYS, a commercial software. Non-uniform mesh with a varying horizon causes ...