A truncation error analysis has been developed for the approximation of spatial derivatives in Smoothed Particle Hydrodynamics (SPH) and related first-order consistent methods such as the first-order form of the Reproducing Kernel Particle Method. Error is shown to depend on both the smoothing length h and the ratio of particle spacing to smoothing length, ∆x/h. For uniformly spaced particles in one dimension, analysis shows that as h is reduced while maintaining constant ∆x/h, error decays as h2 until a limiting discretisation error is reached, which is independent of h. If ∆x/h is reduced while maintaining constant h (i.e. if the number of neighbours per particle is increased), error decreases at a rate which depends on the kernel functio...
AbstractSmoothed particle hydrodynamics (SPH) simulations are often initialized on a regular Cartesi...
ABSTRACT Nowadays, events like severe earthquakes or man-made malicious actions are often taken into...
To solve (partial) differential equations it is necessary to have good numerical approximations. In ...
A truncation error analysis has been developed for the approximation of spatial derivatives in smoot...
Smoothed Particle Hydrodynamics is a meshless particle method able to evaluate unknown field functi...
In the smoothed particle hydrodynamics (SPH) method, the particle inconsistency problem significantl...
In this paper we focus on two sources of enhancement in accuracy and computational de manding in app...
The smoothing kernel is the back bone of Smoothed Particle Hydrodynamics (SPH), a modern technique t...
In this paper we discuss on the enhancements in accuracy and computational demanding in approximatin...
Smoothed particle hydrodynamics (SPH) is becoming increasingly common in the numerical simulation of...
This contribution is concerned with a novel, purely methodological strategy enabling to automaticall...
25> (x \Gamma x 0 ) \Gamma! X i V i f i W (x \Gamma x i ) Then all spatial derivatives can b...
In this paper we discuss on the enhancements in accuracy and computational demanding in approx- imat...
An algorithm to improve the numerical evaluation of derivatives of a field function in Smoothed Part...
The smoothed particle hydrodynamics (SPH) method has been popularly applied in various fields, inclu...
AbstractSmoothed particle hydrodynamics (SPH) simulations are often initialized on a regular Cartesi...
ABSTRACT Nowadays, events like severe earthquakes or man-made malicious actions are often taken into...
To solve (partial) differential equations it is necessary to have good numerical approximations. In ...
A truncation error analysis has been developed for the approximation of spatial derivatives in smoot...
Smoothed Particle Hydrodynamics is a meshless particle method able to evaluate unknown field functi...
In the smoothed particle hydrodynamics (SPH) method, the particle inconsistency problem significantl...
In this paper we focus on two sources of enhancement in accuracy and computational de manding in app...
The smoothing kernel is the back bone of Smoothed Particle Hydrodynamics (SPH), a modern technique t...
In this paper we discuss on the enhancements in accuracy and computational demanding in approximatin...
Smoothed particle hydrodynamics (SPH) is becoming increasingly common in the numerical simulation of...
This contribution is concerned with a novel, purely methodological strategy enabling to automaticall...
25> (x \Gamma x 0 ) \Gamma! X i V i f i W (x \Gamma x i ) Then all spatial derivatives can b...
In this paper we discuss on the enhancements in accuracy and computational demanding in approx- imat...
An algorithm to improve the numerical evaluation of derivatives of a field function in Smoothed Part...
The smoothed particle hydrodynamics (SPH) method has been popularly applied in various fields, inclu...
AbstractSmoothed particle hydrodynamics (SPH) simulations are often initialized on a regular Cartesi...
ABSTRACT Nowadays, events like severe earthquakes or man-made malicious actions are often taken into...
To solve (partial) differential equations it is necessary to have good numerical approximations. In ...