基于模拟退火算法的多孔介质三维重建

摘要

In order to study fluid flow in a porous transducer,a three-dimensional random reconstruction strategy of porous media is proposed based on simulated annealing.On the basis of dynamic temperature reduction factor,the simulated annealing was conducted using an improved status update method.Binary images of pore and solid phase,which were considered as reference model,were acquired by processing slice images collected by micro CT.The sampling,processing and reconstruction of the porous media were realized with the porosity of the porous media unchanged.Experimental results show that the proposed three-dimensional reconstruction strategy can increase the reconstruction speed and accuracy of permeability calculation,and the pore fraction dimension as well as two-point correlation function of the reconstructed model coincides with the reference model.%为了研究固相转换器内部流体的流动状态,将动态退火系数的模拟退火算法与基于改进的状态更新的随机重建方法相结合,提出一种对固相转换器这类多孔介质进行软件重建的三维随机重建策略.首先对显微CT采集得到的多孔介质图像进行处理,得到基于孔隙相与固体相的二值化图像,并将其作为参考模型;然后在保持多孔介质孔隙率不变的前提下对多孔介质进行重建,实现了对其采样、图像处理与重建的过程.实验结果表明,该策略可以提升重建速度与渗透率的精度,重建模型与参考模型的两点相关函数与孔隙分形维数有很好的一致性.