CN104361215A - Monte Carlo fusion reactor repeat processing method based on label information - Google Patents
Monte Carlo fusion reactor repeat processing method based on label information Download PDFInfo
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Abstract
The invention discloses a Monte Carlo fusion reactor repeat processing method based on label information. The method comprises the following steps: obtaining a calculating input parameter, establishing a geometric tree shaped structural relation according to the calculating input parameter, only storing a basic model and a corresponding relation between the basic model and a model repeated with the basic model, transforming a counting zone to the basic model and storing the serial number of the model and a transformation relation namely the label information of the counting zone, transforming particles to the basic model to transport the particles during particle transport tracking, storing the serial number of the model and transformation relations namely label information of the particles, and performing subsequent calculating when the label information of the particles is consistent with the label information of the counting zone. The method actually reflects space positions and directions of the particles, improves the authenticity and reliability of results, reduces unnecessary memory overhead, so as to improve the calculating efficiency, and can be applied to fields of reactor physics and neutronics analysis.
Description
Technical field
The present invention relates to a kind of Monte Carlo fusion reactor repetitive structure disposal route based on label information, belong to reactor physics, neutronics technical field of information processing.
Background technology
In reacter phyics design and analytic process, it is basis and core content that radiation transport calculates.Radiation transport calculates and mainly contains analytic method and Monte Carlo method two kinds, and analytic method has the advantage of quick and high computational accuracy for the problem of geometry and distribution of material comparison rule, but maybe cannot solve comparatively greatly for the problem error of complexity; Monte Carlo method is a kind of method of probability statistics, the macroscopic statistics characteristic of descriptive system is carried out with the behavior of the almost each particle of approaching to reality simulation, be not subject to the restriction of problem geometry and material, all can keep degree of precision in all regions, but be cost with computing time.Along with developing rapidly of computer technology in recent years, Monte Carlo method is more and more widely used in the aspect such as reactor physics, Neutronics analysis.
Particularly extensive actual response heap problem simulation in reactor Monte Carlo simulation, the problem of calculator memory has become one of challenge maximum in current practical application.For fusion reactor neutronics calculation and analysis, the restriction of computing machine single node internal memory is subject to due to itself basic geometric units complex structure, but its geometry and distribution of material have reasonable symmetry and repeatability, therefore in practical application, the mode adopting fan-shaped model (as 40 °) to add border reflecting surface (mirror-reflection, diffuse reflection etc.) carries out computational analysis more, because it is symmetrical and repeated, carries out copying can obtain full model with this model.
For the method, as shown in Fig. 1 rough schematic view, region A is identical with region B geometry material, material is reduced to vacuum, the track of particle is represented with the line segment of band arrow, wherein scheme (a) and represent real particles track, owing to passing through counting region without particle, be zero as carried out flux estimation result, but employing the method, use region A to represent region B, use when particle enters region B reflecting surface to be offset by particle trajectory, then can count on the particle that reality does not enter this counting region for the statistics of counting region.From the angle of a large amount of particle statistics, the defect in the method not necessarily can cause very large deviation to result, but does not meet the situation of particle real simulation.
Simultaneously inner at the fan-shaped model of fusion reactor, there are the parts that the identical relative position of geometry is different, a kind of basic and the most frequently used geometric description and processing mode are the method for repetitive structure, there is provided a kind of simple repetitive structure geometric ways efficiently to describe the geometry of Whole core to user on the one hand, on the other hand, due to solids a large amount of in repetitive structure and geometric description mode all quite similar, therefore adopt special storage mode can reduce program taking internal memory to this repetitive structure.In addition, utilize the geometrical property of repetitive structure, can be optimized and then realize speed-up computation for the particle localization in computation process, the solid process such as to search based on this describing mode, as used the MCNP of Los Alamos National Laboratories of U.S. exploitation widely, use the interlayer accelerated method based on user's input information, namely use territory number (No. Universe) to represent the more high-rise border of discord, border of this lattice cell is intersected when specifying the level of certain lattice cell, when searching can premature termination boundary surface search realize accelerating.This processing mode in fact just simplifies geometry storage, but in stationary source and CRITICAL CALCULATION, Particle tracking, counting and fission source particles still launch geometry when storing, the generation often walking in track, the counting of this step correspondence, CRITICAL CALCULATION source particles of fissioning of particle all needs to determine positional information and residing lattice cell therefore there is the coordinate conversion of a large amount of particle and counting region with storing.
Summary of the invention
The technology of the present invention is dealt with problems: overcome the deficiencies in the prior art, a kind of Monte Carlo fusion reactor repetitive structure disposal route based on label information is provided, for fusion reactor core, particle realistic simulation situation can be reflected more realistically, result more accurately and reliably, unnecessary coordinate conversion can be reduced in a large number for traditional repetitive structure part simultaneously, improve computing velocity.In addition, the present invention truly reflects locus and the direction of particle, improves the true and reliable property of result, reduces unnecessary memory cost, improve counting yield.
The technical solution adopted in the present invention realizes as follows: the invention discloses a kind of Monte Carlo fusion reactor repetitive structure disposal route based on label information, comprise following steps: obtain input data; Build geometry tree-like structural relation according to input data, only store the corresponding relation of basic model and duplication model with it, counting region transformed to basic model place and store the label information of this pattern number and transformation relation and counting region; In PARTICLE TRANSPORT FROM tracking, particle is transformed in basic model and carry out transporting and the transformation relation storing this pattern number and go through, the i.e. label information of particle; When the label information of particle and the label information of counting region consistent time carry out subsequent counter again.
As shown in Figure 3, a kind of Monte Carlo fusion reactor repetitive structure disposal route based on label information of the present invention, comprises following steps:
Step (1) obtains input data, and described input parameter comprises the geological information of fusion reactor, material information, source information and count information, wherein:
Described geological information refers to that the geometry entity comprising constitutional repeating unit describes, the corresponding relation of repetitive structure and constitutional repeating unit, non-duplicate structure division geometry entity describe, the interlayer relation of geometry entity and combination thereof; Described constitutional repeating unit R
1, R
2represent dissimilar constitutional repeating unit, use R
1→ 1, R
1→ 2 ... represent and R
1there is identical geometry and material structure region relative to R
1corresponding relation, use F
1, F
2represent non-duplicate construction geometry;
Described material information refers to the nucleic composition of the material of filling in geometry, and the various reaction cross-sections data of often kind of nucleic;
Described source information refers to the kind of source particles, space, energy, directional spreding;
Described count information refer to need computational physics amount counting type, counting region, counting power spectrum, calculating scale;
Step (2) builds the tree-like structural relation of geometry and stored count zone marker information according to the input parameter of calculation procedure (1), is implemented as follows:
Build and store geometry tree structure as shown in Figure 2, tree structure represents the interlayer relation of geometric units, and the solid that the solid that namely a certain node represents is represented by its child node forms, storage entity geometry and corresponding relation in this tree structure;
From root node, the counting region of all inputs is searched for according to this geometry tree structure, counting region increases label information: the constitutional repeating unit corresponding to lattice cell (i.e. single solid) at this place, region is numbered and from root node to the node at this place, region all repetitive structures corresponding relation, and counting region is corresponded on constitutional repeating unit according to all repetitive structure corresponding relations stored, if there is no repetitive structure corresponding relation in search procedure, label information is empty, does not need to carry out coordinate transform;
Step (3) is followed the tracks of based on the PARTICLE TRANSPORT FROM of label information, and specific implementation step is:
The geometry tree structure of particle in transport process constructed by step (2) positions tracking, relative to existing Monte Carlo PARTICLE TRANSPORT FROM tracking, in the track information of particle, increase label information: the constitutional repeating unit numbering R corresponding to the lattice cell at the current place of particle
nand from root node to all repetitive structure corresponding relations of the node of current place lattice cell, wherein current place lattice cell and R
ncorresponding relation R
n→ i represents, the sequence number wherein in the corresponding geometry tree structure of n and i;
Particle each step in tracing process needs to judge the lattice cell at current place and carries out geometric operation and judgement with place lattice cell, particle relies on the interlayer relation of geometry in geometry tree structure, with the lattice cell position that the method for backtracking and traversal child node judges residing for next step, when entering into the node storing repetitive structure corresponding relation, in this particle track information, first store the constitutional repeating unit numbering R corresponding to lattice cell at current place
nand and R
ncorresponding relation, be labeled as R
n→ i, then by particle according to corresponding relation R
n→ i carries out particle position, direction transformation at constitutional repeating unit R
nin carry out transporting calculating according to Monte Carlo PARTICLE TRANSPORT FROM flow process, if having repetitive structure and corresponding relation thereof in the child node of this node, but when particle goes out to store the node of repetitive structure corresponding relation, by particle according to corresponding relation R
n→ i carries out the inverse transformation in particle position, direction, to adjust to the state of the constitutional repeating unit corresponding relative to present node;
If carry out CRITICAL CALCULATION, the sampling at actual collision point in this generation PARTICLE TRANSPORT FROM process is depended in the position of carrying out producing in iterative process follow-on fission source particles, relative to existing Monte Carlo PARTICLE TRANSPORT FROM tracking, fission source particles of future generation inherits the label information producing this particle when storing, follow-uply carry out iterative computation according to Monte Carlo PARTICLE TRANSPORT FROM flow process;
Based on the counting of label information in step (4) tracing process, specific as follows:
Based on step (2), (3) the tracking of particle and counting region are transformed into the lattice cell of actual storage, and store corresponding label information so that judge and recover original position, direction, the counting of particle in tracing process, relative to existing Monte Carlo PARTICLE TRANSPORT FROM tracking, first the label information of particle track and counting region respective stored was contrasted successively before each timing point counting, namely current place the constitutional repeating unit corresponding to lattice cell numbering and from root node to all repetitive structure corresponding relations of the node of current place lattice cell, if particle track particle consistent with the label information of counting region respective stored is just likely actual arrive this counting lattice cell, carry out subsequent counter statistics, and namely the relative direction of particle and this counting lattice cell and position are the situations after conversion, therefore do not need to carry out coordinate transform more directly to carry out counting according to Monte Carlo PARTICLE TRANSPORT FROM flow process.
The invention has the advantages that:
(1) Particle tracking is carried out based on particle label information, use fan-shaped model relative to traditional fusion reactor and add the disposal route of reflecting surface, the method stores faithfully and reflects the real locus of particle and be easy to recover particle true coordinate, improves the reliability of result; Storage only stores essential information, comprising: constitutional repeating unit geometry, the geometry of non-duplicate structure, the relative track of particle, and true geometric structure and particle track are relative to the relativeness of these essential informations, reduce memory cost; Only need to carry out particle coordinate conversion and label information renewal when particle enters or go out repetitive structure node, do not need often to walk particle all to carry out coordinate transform, improve computing velocity;
(2) result statistics is carried out based on counting region label information, due to particle is separated with the label information of counting region, the relative position conversion that the comparison of label information and unorthodox method carry out particle and counting region is first directly carried out before counting, carry out label information relatively rear coupling as both and just carry out next step counting, now namely namely relative direction and position are the essential informations that this particle and counting region store to the transformational relation of particle and counting region always, do not need to carry out coordinate transform more directly to carry out counting according to general method, the method simplifies computation process and improves counting yield.
Accompanying drawing explanation
Fig. 1 is fusion reactor reflecting surface disposal route schematic diagram;
Fig. 2 is the tree-like structural representation of geometry;
Fig. 3 is flow chart of steps of the present invention;
Fig. 4 is that International Thermal-Nuclear Experimental Reactor benchmark example part lattice cell flux calculates schematic diagram;
Fig. 5 is the tree-like structural representation of International Thermal-Nuclear Experimental Reactor benchmark example geometry.
Embodiment
The present invention is calculated as example with the part lattice cell flux of disclosed International Thermonuclear heap experimental reactor ITER benchmark example, and specific embodiment of the invention step is described.This benchmark example model is complicated, 360 ° of full models comprise nearly ten thousand lattice cells, common PC is subject to that the restriction of internal memory is actual cannot be calculated, 40 ° of fan-shaped models can only be adopted to add the method for reflecting surface, the signal that this example part lattice cell flux calculates only is provided in the present invention, as shown in Figure 4, the Computing Principle of complete model is identical, 360 ° of full models be the 40 ° of fan-shaped models in the right copy arrangement, different in the just the same only position of 40 ° of model inner bulk A and body B, body A ' and body B ' and body A, body B are corresponding, but are in next 40 ° of fan-shaped models.Use the concrete implementation step of the present invention as follows:
Step (1), acquisition input data, comprise following content:
Geological information: definition constitutional repeating unit, uses R
1represent 40 ° of fan-shaped models, R of Fig. 4 rightmost side
2represent body A, then in 360 ° of full models, 320 ° of model parts are expressed as R
1→ 1, R
1→ 2 ... R
1→ 8, body B is expressed as R
2in → Isosorbide-5-Nitrae 0 ° of fan-shaped model except body A, body B remainder F
1represent, and to R
1, R
2, F
1the interlayer relation carrying out geometry entity and geometry entity combination is described;
Material information: corresponding R
1, R
2, F
1material species composition, and the various reaction cross-sections database data corresponding to nucleic;
Source information: the kind of source particles is neutron, carries out space, energy distribution, direction isotropic according to model plasma;
Count information: in calculating chart, body B and body B ' 2 count the body flux of lattice cell, calculating scale is 10
8individual particle;
Step (2), build the tree-like structural relation of geometry stored count zone marker information according to input data:
Build and store geometry tree structure as shown in Figure 5;
From root node, the counting region of all inputs is searched for according to this geometry tree structure, increase counting region and increase label information: the constitutional repeating unit corresponding to the lattice cell at this place, region is numbered and from root node to the node at this place, region all repetitive structures corresponding relation, then body B stores numbering R
2and corresponding relation R
2→ 1, body B ' stores numbering R
2and corresponding relation R
1→ 1, R
2→ 1, then by counting region according to store all repetitive structure corresponding relations correspond on constitutional repeating unit, then body B and body B ' all reference numeral be R
2lattice cell, i.e. body A;
Step (3), to follow the tracks of based on the PARTICLE TRANSPORT FROM of label information:
The geometry tree structure of particle in transport process constructed by step (2) positions tracking, in tracing process particle track information in increase label information: the constitutional repeating unit numbering R corresponding to lattice cell at the current place of particle
nand from root node to all repetitive structure corresponding relations of the node of current place lattice cell.Particle each step in tracing process needs to judge the lattice cell at current place and carries out geometric operation and judgement with place lattice cell, particle relies on the interlayer relation of geometry in geometry tree structure, with the lattice cell position that the method for backtracking and traversal child node judges residing for next step, when entering into the node storing repetitive structure corresponding relation, in this particle track information, first store the constitutional repeating unit numbering R corresponding to lattice cell at current place
nand and R
nwhen corresponding relation R
n→ i, then by particle according to corresponding relation R
n→ i carries out particle position, direction transformation at constitutional repeating unit R
nin carry out transporting calculating according to general flow process, as having repetitive structure and corresponding relation thereof in the child node of this node, then recurrence is carried out according to the method described above, but when particle goes out to store the node of repetitive structure corresponding relation, by particle according to corresponding relation R
n→ i carries out the inverse transformation in particle position, direction, to adjust to the state of the constitutional repeating unit corresponding relative to present node.
If particle is from first 40 ° of fan-shaped model area, arrives next 40 ° of fan-shaped models from A face, then enter body B ', then numbering R in primary label information
1, corresponding relation is empty.When passing through the arrival next one 40 ° of fan-shaped models, in particle label information, be numbered R
1, corresponding relation is R
1→ 1, and by particle according to corresponding relation R
1→ 1 carries out coordinate transform moves on the B face of first fan-shaped model.Particle enters body B ', stores numbering R in particle label information
2and corresponding relation R
1→ 1, R
2→ 1, and by particle according to corresponding relation R
2→ 1 carries out coordinate transform again moves to R
2corresponding position.
Based on the counting of label information in step (4), tracing process:
Based on step (2), (3), the tracking of particle and counting region are transformed in first 40 ° of sector region or body A, and store corresponding label information so that judge and recover original position, direction, the counting of particle in tracing process, first the label information of particle track and counting region respective stored was contrasted successively before each timing point counting, for the body flux calculating body B, then first judge whether number in the label information of particle is R
2, whether corresponding relation is R
2→ 1, if consistent again by follow-up conventional method statistics flux, for the body flux calculating body B ', then first judge whether number in the label information of particle is R
2, corresponding relation whether R
1→ 1, R
2→ 1, if consistent again by follow-up conventional method statistics flux;
In a word, the present invention is by dividing whole geometric space according to symmetric relation, based on label information so that particle and its actual place geometry and counting region thereof are carried out relationship map, improved and upgrade mapping relations during particle entry/exit geometrical boundary, that only carries out particle at a geometric space transports calculating simulation, first mapping relations judgement is carried out when counting, more analog result can be ensured accurately and reliably while saving internal memory, in principle with 360 ° of full model result of calculations keep completely the same, reduce coordinate conversion a large amount of in traditional repetitive structure simultaneously, improve computing velocity.
The part that the present invention does not elaborate belongs to techniques well known.
Although be described the illustrative embodiment of the present invention above; so that the technician of this technology neck understands the present invention; but should be clear; the invention is not restricted to the scope of embodiment; to those skilled in the art; as long as various change to limit and in the spirit and scope of the present invention determined, these changes are apparent, and all innovation and creation utilizing the present invention to conceive are all at the row of protection in appended claim.
Claims (1)
1., based on a Monte Carlo fusion reactor repetitive structure disposal route for label information, it is characterized in that, comprise following steps:
Step (1) obtains input data, and described input parameter comprises the geological information of fusion reactor, material information, source information and count information, wherein:
Described geological information refers to that the geometry entity comprising constitutional repeating unit describes, the corresponding relation of repetitive structure and constitutional repeating unit, non-duplicate structure division geometry entity describe, the interlayer relation of geometry entity and combination thereof; Described constitutional repeating unit R
1, R
2represent dissimilar constitutional repeating unit, use R
1→ 1, R
1→ 2 ... represent and R
1there is identical geometry and material structure region relative to R
1corresponding relation, use F
1, F
2represent non-duplicate construction geometry;
Described material information refers to the nucleic composition of the material of filling in geometry, and the various reaction cross-sections database data of often kind of nucleic;
Described source information refers to the kind of source particles, space, energy, directional spreding;
Described count information refer to need computational physics amount counting type, counting region, counting power spectrum, calculating scale;
Step (2) builds the tree-like structural relation of geometry and stored count zone marker information according to the input parameter of calculation procedure (1), is implemented as follows:
(21) build the tree-like structural relation of geometry in order to represent the interlayer relation of geometric units, the solid that the solid that namely a certain node represents is represented by its child node forms, storage entity geometry and corresponding relation in this tree structure;
(22) from root node, the counting region of all inputs is searched for according to this geometry tree structure, counting region increases label information: the lattice cell at this place, region and the numbering of the constitutional repeating unit corresponding to single solid and from root node to the node at this place, region all repetitive structures corresponding relation, and counting region is corresponded on constitutional repeating unit according to all repetitive structure corresponding relations stored, if there is no repetitive structure corresponding relation in search procedure, label information is empty, does not need to carry out coordinate transform;
Step (3) is followed the tracks of based on the PARTICLE TRANSPORT FROM of label information, and specific implementation step is:
(31) the geometry tree structure of particle in transport process constructed by step (2) positions tracking, relative to existing Monte Carlo PARTICLE TRANSPORT FROM tracking, in the track information of particle, increase label information: the constitutional repeating unit numbering R corresponding to the lattice cell at the current place of particle
nand from root node to all repetitive structure corresponding relations of the node of current place lattice cell, wherein current place lattice cell and R
ncorresponding relation R
n→ i represents, the sequence number wherein in the corresponding geometry tree structure of n and i;
(32) particle each step in tracing process needs to judge the lattice cell at current place and carries out geometric operation and judgement with place lattice cell, particle relies on the interlayer relation of geometry in geometry tree structure, with the lattice cell position that the method for backtracking and traversal child node judges residing for next step, when entering into the node storing repetitive structure corresponding relation, in this particle track information, first store the constitutional repeating unit numbering R corresponding to lattice cell at current place
nand and R
ncorresponding relation, be labeled as R
n→ i, then by particle according to corresponding relation R
n→ i carries out particle position, direction transformation at constitutional repeating unit R
nin carry out transporting calculating according to Monte Carlo PARTICLE TRANSPORT FROM flow process, if having repetitive structure and corresponding relation thereof in the child node of this node, but when particle goes out to store the node of repetitive structure corresponding relation, by particle according to corresponding relation R
n→ i carries out the inverse transformation in particle position, direction, to adjust to the state of the constitutional repeating unit corresponding relative to present node;
If carry out CRITICAL CALCULATION, the sampling at actual collision point in this generation PARTICLE TRANSPORT FROM process is depended in the position of carrying out producing in iterative process follow-on fission source particles, relative to existing Monte Carlo PARTICLE TRANSPORT FROM tracking, fission source particles of future generation inherits the label information producing this particle when storing, follow-uply carry out iterative computation according to Monte Carlo PARTICLE TRANSPORT FROM flow process;
Based on the counting of label information in step (4) tracing process, specific as follows:
Based on step (2), (3) the tracking of particle and counting region are transformed into the lattice cell of actual storage, and store corresponding label information so that judge and recover original position, direction, the counting of particle in tracing process, relative to existing Monte Carlo PARTICLE TRANSPORT FROM tracking, first the label information of particle track and counting region respective stored was contrasted successively before each timing point counting, namely current place the constitutional repeating unit corresponding to lattice cell numbering and from root node to all repetitive structure corresponding relations of the node of current place lattice cell, if particle track particle consistent with the label information of counting region respective stored is just likely actual arrive this counting lattice cell, carry out subsequent counter statistics, and namely the relative direction of particle and this counting lattice cell and position are the situations after conversion, therefore do not need to carry out coordinate transform more directly to carry out counting according to Monte Carlo PARTICLE TRANSPORT FROM flow process.
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