Blood simulation method based on PBF

Abstract

The embodiment of the invention discloses a blood simulation method based on PBF, wherein the method comprises the following steps of acquiring information data of particles and performing initialization processing; performing discretization on blood in the blood vessel according to the blood vessel position of each part of the human body, and obtaining discrete particles; conducting calculation processing on the multiple particles, and obtaining the dynamic information of the field particles of each particle; correcting the position of the particles through the PBD framework according to thedata information of the field particles of each particle, and carrying out iteration until the particles are finished. By implementing the embodiment of the invention, the limitation of a traditionalfluid simulation technology can be broken through, so that a larger time step is achieved in the simulation process, and has better real-time performance. The blood is simulated by combining multipleparticles, and appropriate modification can be carried out according to different application scenes by using the number of the particles, and meanwhile, the distribution conditions of the particles with different densities are constrained by using the density of the blood. The distribution condition of different types of particles in a unit volume is guaranteed, and the phenomenon of layering isavoided.

Description

technical field [0001] The invention relates to the technical field of computer graphics, in particular to a PBF-based blood simulation method. Background technique [0002] In the field of computer graphics, fluid simulation has always been a hot research direction, which is mainly divided into two categories, Lagrangian method and Euler method. The Euler method focuses on the study of "fields", defining the properties of fluids, such as mass, density, and temperature, as functions of spatial position plus time. In contrast, the Lagrangian method focuses on the study of "mass points", abstracts the fluid into discrete particles, each particle has its own physical properties, and simulates the fluid by tracking the trajectory of the particle. The SPH method is the main branch of the Lagrangian method. [0003] The SPH method is divided into two major directions, one is the micro-compressible SPH method, which allows the density of the fluid to fluctuate slightly when simul...

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Problems solved by technology

[0007] However, in the simulation process, if the time step is large, the density fluctuation of the fluid will be large, which exceeds the allowable range, resulting in scattered particles during the simulation process. Therefore, this method requires a small time step. In practical applications The amount of calculation is large, and the real-time effect of the simulation is not good; the current technology uses a single particle for simulation when simulating fluid. When this method is applied to simulate blood, only one particle will not be able to show the physiological characteristics of blood , because different components of blood have different effects in living organisms; if using the existing technology to forcibly add a variety of particles, then after a period of simulation, the particles with different densities will be stratified, and the denser particles will be settles at the bottom, while less dense particles will float up

The current simulation technology simulates all Newtonian fluids, and its viscosity will not change due to other external factors such as shear rate. When applied to blood simulation, blood is a non-Newtonian fluid, and its viscosity will be affected by external factors. At the same time, the change of blood viscosity plays an important role in the diagnosis of diseases in medicine. Many diseases will be accompanied by changes in blood viscosity. Using the current method will not be able to accurately describe the viscosity of blood

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