Engineering Computations: Volume 29 Issue 8

Adaptive simulation of free surface flows with discrete least squares meshless (DLSM) method using a posteriori error estimator

G. Shobeyri, M.H. Afshar

The purpose of this paper is to propose an adaptive refinement strategy based on a posteriori error estimate for the efficient simulation of free surface flows using discrete…

On the role of enrichment and statical admissibility of recovered fields in a posteriori error estimation for enriched finite element methods

Octavio Andrés González‐Estrada, Juan José Ródenas, Stéphane Pierre Alain Bordas, Marc Duflot, Pierre Kerfriden, Eugenio Giner

The purpose of this paper is to assess the effect of the statical admissibility of the recovered solution and the ability of the recovered solution to represent the singular…

Committee neural network for estimating preconsolidation pressure from piezocone test result

Y.S. Kim, H.I. Park

The purpose of this paper is to examine the feasibility of committee neural network (CNN) theory for the improvement of accuracy and consistency of the neural network model on the…

Modified spline‐based differential quadrature method applied to vibration analysis of truncated conical shells

Artur Krowiak

The purpose of this paper is to present some modifications in the spline‐based differential quadrature method (DQM), in order to accelerate the convergence of the method. The…

MHD natural convection flow from an isothermal horizontal circular cylinder under consideration of temperature dependent viscosity

Mamun Molla, Suvash C. Saha, M.A.I. Khan

The purpose of this paper is to discuss, with numerical simulations, magnetohydrodynamic (MHD) natural convection laminar flow from an isothermal horizontal circular cylinder…

Parallel simulation of patient‐specific atherosclerotic arteries for the enhancement of intravascular ultrasound diagnostics

D. Balzani, D. Böse, D. Brands, R. Erbel, A. Klawonn, O. Rheinbach, J. Schröder

The purpose of this paper is to present a computational framework for the simulation of patient‐specific atherosclerotic arterial walls. Such simulations provide information…

Least squares and stochastic gradient parameter estimation for multivariable nonlinear Box‐Jenkins models based on the auxiliary model and the multi‐innovation identification theory

Jing Chen, Feng Ding

The purpose of this paper is to study the identification methods for multivariable nonlinear Box‐Jenkins systems with autoregressive moving average (ARMA) noises, based on the…