In this paper we focus on the enhancement in accuracy approximating a function and its derivatives via smoothed particle hydrodynamics. We discuss about improvements in the solution by reformulating the original method by means of the Taylor series expansion and by projecting with the kernel function and its derivatives. The accuracy of a function and its derivatives, up to a fixed order, can be simultaneously improved by assuming them as unknowns of a linear system. The improved formulation has been assessed with gridded and scattered data points distribution and the convergence has been analyzed referring to a case study in a 2D domain
A truncation error analysis has been developed for the approximation of spatial derivatives in smoot...
AbstractThis paper presents a general approach to construct analytical smoothing functions for the m...
In this paper we consider two sources of enhancement for the meshfree Lagrangian particle method smo...
In this paper we focus on the enhancement in accuracy approximating a function and its derivatives v...
In this paper we consider sources of enhancement for the Smoothed Particle Hydrodynamics method in a...
An algorithm to improve the numerical evaluation of derivatives of a field function in Smoothed Part...
In this paper we focus on two sources of enhancement in accuracy and computational de manding in app...
Smoothed Particle Hydrodynamics is a meshless particle method able to evaluate unknown field functi...
In this paper we discuss on the enhancements in accuracy and computational demanding in approximatin...
In this paper we consider two sources of enhancement for the meshfree Lagrangian particle method smo...
Summary. In this paper we consider two sources of enhancement for the meshfree Lagrangian particle m...
25> (x \Gamma x 0 ) \Gamma! X i V i f i W (x \Gamma x i ) Then all spatial derivatives can b...
ABSTRACT Nowadays, events like severe earthquakes or man-made malicious actions are often taken into...
Starting from meshfree methods, the Smoothed Particle Hydrodynamics (SPH) is introduced as a complem...
In this paper some key elements of the Smoothed Particle Hydrodynamics methodology suitably reformul...
A truncation error analysis has been developed for the approximation of spatial derivatives in smoot...
AbstractThis paper presents a general approach to construct analytical smoothing functions for the m...
In this paper we consider two sources of enhancement for the meshfree Lagrangian particle method smo...
In this paper we focus on the enhancement in accuracy approximating a function and its derivatives v...
In this paper we consider sources of enhancement for the Smoothed Particle Hydrodynamics method in a...
An algorithm to improve the numerical evaluation of derivatives of a field function in Smoothed Part...
In this paper we focus on two sources of enhancement in accuracy and computational de manding in app...
Smoothed Particle Hydrodynamics is a meshless particle method able to evaluate unknown field functi...
In this paper we discuss on the enhancements in accuracy and computational demanding in approximatin...
In this paper we consider two sources of enhancement for the meshfree Lagrangian particle method smo...
Summary. In this paper we consider two sources of enhancement for the meshfree Lagrangian particle m...
25> (x \Gamma x 0 ) \Gamma! X i V i f i W (x \Gamma x i ) Then all spatial derivatives can b...
ABSTRACT Nowadays, events like severe earthquakes or man-made malicious actions are often taken into...
Starting from meshfree methods, the Smoothed Particle Hydrodynamics (SPH) is introduced as a complem...
In this paper some key elements of the Smoothed Particle Hydrodynamics methodology suitably reformul...
A truncation error analysis has been developed for the approximation of spatial derivatives in smoot...
AbstractThis paper presents a general approach to construct analytical smoothing functions for the m...
In this paper we consider two sources of enhancement for the meshfree Lagrangian particle method smo...