Simulate segmentation method of cylinder and pie cake digital models

A simulate segmentation method of a pie cake digital model, comprising:

• selecting a three-dimensional model and a reference point according to a nuclear reactor structure, and obtaining a model height and a model width according to a highest point and a lowest point of the three-dimensional model on a first direction axis and a second direction axis;
• simulating segmentation of the nuclear reactor along the first direction axis to make the nuclear reactor have a first cross section at each first cutting position, wherein a first cross-sectional area of each of the first cross section is obtained by means of the three-dimensional model and the reference point, and a distance between each of the first cutting positions is a first cutting height;
• using a genetic algorithm to calculate a cutting information, and the genetic algorithm comprising:
• setting a first positional chromosome having a first corresponding block corresponding to each of the first cutting positions, and each of the first corresponding blocks having the corresponding first cutting height;
• repeatedly generating the first positional chromosome until number of the first positional chromosome reaches a first constant, wherein the first positional chromosome with the first constant is a first initial population;
• calculating a sum of a cross-sectional area and a number of each of the first corresponding blocks of the first initial population as a plurality of the first fitness values;
• crossing over and mutating each of the first positional chromosomes of the first initial population to obtain a plurality of first positional abnormal chromosomes, and calculating the sum of the cross-sectional area and the number of the first corresponding blocks of each of the first positional abnormal chromosomes as a first abnormal adaptive value;
• arranging an order of each of the first fitness values and each of the first abnormal fitness values, and selecting a plurality of first fine chromosomes according to a first selective condition;
• simulating segmentation of the first fine chromosomes along a second direction axis to make each of the first fine chromosomes have a second cross section at each of the second cutting positions, wherein a second cross-sectional area of each of the second cross sections is obtained by means of the three-dimensional model and the reference point, and a distance between each of the second cutting positions is a cutting width;
• setting a second positional chromosome having a second corresponding block corresponding to each of the second cutting positions, and each of the second corresponding blocks having the corresponding cutting width;
• repeatedly generating the second positional chromosome until number of the second positional chromosome reaches a second constant, wherein the second positional chromosome with the second constant is a second initial population;
• calculating the sum of the second cross-sectional area and the number of the second corresponding blocks of the second initial population as a plurality of second fitness values;
• crossing over and mutating each of the second positional chromosomes of the second initial population to obtain a plurality of second positional abnormal chromosomes, and calculating the sum of the second cross-sectional area and the number of the second corresponding blocks of each of the second positional abnormal chromosomes as a second abnormal adaptive value;
• arranging an order of each of the second fitness values and each of the second abnormal fitness values, and selecting a plurality of second fine chromosomes according to a second selective condition;
• and
• repeatedly calculating the genetic algorithm until an optimal chromosome is selected and each of the first cutting positions and each of the second cutting positions corresponding to the optimal chromosome is a cutting information;
• and
• segmenting the nuclear reactor structure according to the cutting information.