CN110427711A - MD the and KMC coupling process of reactor critical material Parallel Simulation - Google Patents

MD the and KMC coupling process of reactor critical material Parallel Simulation Download PDF

Info

Publication number
CN110427711A
CN110427711A CN201910724903.7A CN201910724903A CN110427711A CN 110427711 A CN110427711 A CN 110427711A CN 201910724903 A CN201910724903 A CN 201910724903A CN 110427711 A CN110427711 A CN 110427711A
Authority
CN
China
Prior art keywords
simulation
module
kmc
dynamics
defect
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201910724903.7A
Other languages
Chinese (zh)
Inventor
贾丽霞
储根深
陈丹丹
王东杰
贺新福
杨文�
胡长军
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Institute of Atomic of Energy
Original Assignee
China Institute of Atomic of Energy
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China Institute of Atomic of Energy filed Critical China Institute of Atomic of Energy
Priority to CN201910724903.7A priority Critical patent/CN110427711A/en
Publication of CN110427711A publication Critical patent/CN110427711A/en
Pending legal-status Critical Current

Links

Abstract

The present invention relates to a kind of MD and KMC coupling process of reactor critical material Parallel Simulation, this method carries out the simulation of molecular dynamics cascade collision by MD module;After MD module complete call, defect statistics and analysis are carried out for the state of atom after the completion of MD module simulation;It sends the initial imperfection information of cascade collision to KMC module and carries out KMC simulation;Finally KMC module simulation is waited to terminate, export the defect evolution structure of long period or defect information is passed into Rate Theory (RT) module, carries out the defect evolution analysis of longer time.The present invention improves the efficiency of coupled simulation by close coupled system, by the design of calling interface and unified atom and lattice-site representation method and task division mode, facilitates program interaction.

Description

MD the and KMC coupling process of reactor critical material Parallel Simulation
Technical field
The present invention relates to nuclear material irradiation damage computer modeling technique, and in particular to a kind of reactor critical material is parallel The molecular dynamics (MD) of simulation and the coupling process of dynamics Monte Carlo (KMC).
Background technique
The dynamic behavior evolution of material is Multiscal process, the materials such as pressure vessel, involucrum especially in nuclear reactor Material.Under the high temperature of reactor, high pressure, high radiation environment, due to the effect by high-energy neutron, generated by cascade collision initial Defect;Defect nucleation growth process and subsequent fault in material long-time evolutionary process are arrived again, and material property to the end loses Effect.Whole process is related to different time scales and space scale.In multi-dimension analogy method, usually using molecular dynamics side Defect under method (Molecular dynamics, MD) Lai Jinhang atomic scale generates the simulation of process;Since MD method cannot Carry out the limitation of long-time Evolution Simulation, it is also necessary to use dynamics Monte Carlo (Kinetic Monte Carlo, KMC) Method carries out the simulation of long-time defect evolution and eliminates the space correlation row of defect.KMC method is by focus from the " former of MD Son " has been promoted " system ", " the atomic motion track " of MD is roughened as " transition of system configuration ", thus by the time of simulation Span is increased to the scale of configuration transition from the scale of atomic vibration.MD method can simulate the cascade collision mistake in the short period Journey counts initial imperfection, as the input of KMC method, with the simulation for supporting the long-time of KMC method to develop.
On the other hand, since the limitation of computing capability and storage capacity, single machine or small-scale cluster are unable to complete expected rule The simulation calculus of mould, the introducing of High Performance Computing allow to simulate to more on a large scale and for more time.Simultaneously as high The introducing of performance computing technique needs to consider the problems such as task is divided, communicated, but also parallel MD method and parallel KMC method Coupled simulation realize it is more complicated.Current existing correlative study mostly uses the loose coupling mode of reading and writing of files, this side Formula coupled modes, which introduce a large amount of IO, reduces duration performance, along with intermediate individually defect analysis process, so that simulating Journey is not coherent enough.
Summary of the invention
It is a kind of for parallel MD and parallel KMC method it is an object of the invention in view of the drawbacks of the prior art, provide Close coupling method is used for reactor critical material Parallel Simulation, so as to convenience, is combined using MD-KMC method to high-performance Carry out fault in material simulation.
Technical scheme is as follows: a kind of MD and KMC coupling process of reactor critical material Parallel Simulation, packet It includes:
(1) it determines simulated domain range, and generates the required call parameters of parallel molecular dynamics simulation;
(2) molecular dynamics (MD) module is called to carry out the simulation of molecular dynamics cascade collision;
(3) defect statistical analysis is carried out for the state of atom after the completion of molecular dynamics module simulation;
(4) defect statistical analysis result is sent to dynamics together with call parameters needed for dynamics Monte Carlo simulation Monte Carlo (KMC) module carries out Parallel Dynamics Monte Carlo simulation;
(5) it after dynamics Monte Carlo simulation, exports the defect evolution structure of long period or passes defect information Rate Theory (RT) module is passed, the defect evolution analysis of longer time is carried out.
Further, MD the and KMC coupling process of reactor critical material Parallel Simulation as described above, in step (1) point Call parameters needed for subdynamics simulation include: simulated time step, first lattice atoms PKA to be offed normal by neutron bombardment Energy size, space size.
Further, MD the and KMC coupling process of reactor critical material Parallel Simulation as described above, step make in (3) Defect statistical analysis is carried out with Wigner-Seitz primitive unit cell method, the atomic coordinates in analyzing molecules dynamics simulation result, system Count the coordinate position and quantity of polyatom cluster, vacancy, the input as dynamics Monte Carlo module.
Further, MD the and KMC coupling process of reactor critical material Parallel Simulation as described above moves in step (4) Call parameters needed for mechanics Monte Carlo simulation include: time span, random number seed, space size.
Further, MD the and KMC coupling process of reactor critical material Parallel Simulation as described above, in step (2) The simulation of molecular dynamics cascade collision uses unified lattice-site and atomicity with the dynamics Monte Carlo simulation in step (4) According to structure representation mode, in task division, be all made of the mode of space division, and guarantee to be divided into molecular dynamics module with Lattice-site id in the module of dynamics Monte Carlo on each parallel computation unit is consistent, to make to be divided into molecular dynamics Module and the lattice-site being divided into the module of dynamics Monte Carlo can set up one-to-one mapping relations.
Further, MD the and KMC coupling process of reactor critical material Parallel Simulation as described above, wherein described The concrete form of unified lattice-site and atomic data structure representation mode are as follows: set three-dimensional simulation area size as x*y*z (x, y, Z is integer, and unit is lattice constant), then three-dimensional array array [z] [y] [2*x] is constructed, to save lattice-site or atom Information;Wherein, it sets the length of first dimension of array to twice of the first dimension lattice in the space points of simulated domain, Remaining dimension remains unchanged.
Further, MD the and KMC coupling process of reactor critical material Parallel Simulation as described above, wherein pass through tune With the design of interface, dynamics to is sent defect statistical analysis result using unified data interaction structure in step (4) Monte Carlo module.
Beneficial effects of the present invention are as follows: MD the and KMC coupling of reactor critical material Parallel Simulation provided by the present invention Conjunction method realizes the close coupled system of parallel MD and parallel KMC, by the non-loose coupling mode of file interaction, improves coupling The quasi- efficiency of molding, facilitates program interaction, breaches 1012The simulation scale of atom, second rank.Pass through unified data interaction Structure ensure that efficient, the convenient transmitting of data.
Detailed description of the invention
Fig. 1 is the program architecture figure of the MD and KMC coupling process of reactor critical material Parallel Simulation provided by the invention.
Fig. 2 is the atom storage mode and lattice-site storage mode schematic diagram that MD module and KMC module are used uniformly.
Fig. 3 is the flow chart of MD-KMC coupled simulation, is supported including individual MD and independent KMC simulation.
Specific embodiment
The present invention is described in detail below with reference to the accompanying drawings and embodiments.
The molecular dynamics (MD) of reactor critical material Parallel Simulation provided by the present invention and dynamics Monte Carlo (KMC) coupling process is coupled MD program and KMC program by a coupling procedure, practical when carrying out program compiling On be that the compiling of three programs is become to a program, centre call each program be substantially function/module call (based on this, MD program and KMC program before coupling are hereafter referred to MD module, KMC module), specific coupling framework is as shown in Figure 1.Couple journey Sequence calls MD module to carry out the simulation of cascade collision process, generates initial imperfection, then carries out the statistics and analysis of defect, and will It counts the initial imperfection completed and KMC module is passed to by unified data-interface, KMC module is called to carry out lacking for long period Fall into Evolution Simulation.
Coupling procedure by its input parameter produce MD module needed for parameter (such as simulated time step, first hit by neutron Hit energy size, the space size etc. of the lattice atoms PKA to off normal), call MD module to be simulated;In MD module complete call Afterwards, coupling procedure carries out defect statistics and analysis for the state of atom (mainly atomic coordinates) after the completion of MD module simulation; Meanwhile coupling procedure can also generate KMC module needed for parameter (such as time span, random number seed, space size), with lack Falling into the output of statistical analysis module --- the initial imperfection information of cascade collision is transmitted to KMC module together and carries out KMC simulation;Finally It waits KMC module simulation to terminate, exports the defect evolution structure of long period or defect information is passed into Rate Theory (RT) Procedures/modules carry out the defect evolution analysis of longer time.It should be pointed out that the initial imperfection information transmitting of cascade collision When to KMC module, need to design a kind of unified data interaction structure, to guarantee efficient, the convenient transmitting of data.
Meanwhile the coupled modes between the characteristics of taking into account concurrent program and concurrent program, MD module are used with KMC module Identical atom and lattice-site representation method and task division mode.It is specific as follows: for the metal material lattice of BCC structure, Using lattice-site shown in Fig. 2 and atomic data representation mode in MD and KMC;In task division, it is all made of space The mode of division, and guarantee each parallel computation unit (being herein MPI process) being divided into MD module and KMC module On lattice-site id it is consistent, that is, an a pair can be set up with the lattice-site that is divided into KMC module by being divided into MD module The mapping relations answered.For BCC lattice structure, unified lattice-site is specifically expressed as follows with atomic data representation mode: As shown in Fig. 2, setting three-dimensional simulation area size as x*y*z (x, y, z are integer, and unit is lattice constant), then three-dimensional is constructed Array array [2*x] [y] [z], to save lattice-site or atom information;Wherein, it sets the length of first dimension of array to The first dimension lattice in the space points of simulated domain twice (because of BCC lattice dot matrix feature: each atom in 8 angles, in body One atom of the heart;When choosing an axis work storage projection, the storage of body central atom needs another opening space), remaining dimension is protected It holds constant.For convenience of displaying, Fig. 2 shows only the storage of the atom under two-dimensional case and lattice-site storage mode.Such as [4] [2] Indicate that first dimension index of the lattice-site in array is 4,2-d index is 2.The two-dimensional case can regard BCC dot matrix as in x- The projection of the face y, [0] [0], [0] [1], [2] [0], [2] [1] can regard atom on 8 angles of BCC dot matrix as and project in the face x-y, [1] [0] It is projected for body central atom in the face x-y.It is projected using x-axis as storage, then needs to open up one 2 times of memory space more, with storage Body central atom.
Defect statistical analysis module of the invention mainly uses Wigner-Seitz primitive unit cell method, analyzes in MD analog result Atomic coordinates, statistics polyatom cluster, vacancy coordinate position and quantity, using the input as KMC module.
The specific steps of coupling process of the present invention are described below with reference to Fig. 3:
1) according to input parameter (such as simulated domain size, process number), carry out task divides to obtain the mould of each process Quasi- regional scope;
2) call parameters (such as PKA energy size, simulation of parallel molecular dynamics (MD) module are generated according to input parameter Time step, space size etc.);
3) MD module is called, each process generates atom information, wherein each according to oneself space size and process number The storage mode of atomic data on lattice-site is as shown in Figure 2;
4) setting input parameter, calls MD module, executes formal molecular dynamics cascade collision simulation;
5) molecular dynamics module simulation terminates, and each atomic coordinates information according at the end of uses Wigner- The statistical analysis of Seitz primitive unit cell method progress defect;
6) defect of statistics is passed into dynamics Monte Carlo (KMC) module by unified data-interface, as KMC The input of module;
7) call parameters of parallel Monte Carlo module are produced (such as simulation duration, random number seed, sky according to input parameter Between size etc.);
8) KMC module is called, each process generates lattice-site information according to oneself space size and process number, wherein The storage mode of each lattice-site is as shown in Figure 2;
9) setting input parameter, calls KMC module, reads the initial imperfection that passes over of MD module, execute it is formal and Row Monte Carlo simulation;
10) MD-KMC coupled simulation result is exported.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art Mind and range.If in this way, belonging to the model of the claims in the present invention and its equivalent technology to these modifications and changes of the present invention Within enclosing, then the present invention is also intended to include these modifications and variations.

Claims (7)

1. a kind of MD and KMC coupling process of reactor critical material Parallel Simulation, comprising:
(1) it determines simulated domain range, and generates the required call parameters of parallel molecular dynamics simulation;
(2) molecular dynamics module is called to carry out the simulation of molecular dynamics cascade collision;
(3) defect statistical analysis is carried out for the state of atom after the completion of molecular dynamics module simulation;
(4) defect statistical analysis result is sent to dynamics together with call parameters needed for dynamics Monte Carlo simulation cover spy Carlow module carries out Parallel Dynamics Monte Carlo simulation;
(5) it after dynamics Monte Carlo simulation, exports the defect evolution structure of long period or passes to defect information Rate Theory module carries out the defect evolution analysis of longer time.
2. MD the and KMC coupling process of reactor critical material Parallel Simulation as described in claim 1, it is characterised in that: step Suddenly call parameters needed for molecular dynamics simulation include: simulated time step, first dot matrix offed normal by neutron bombardment in (1) The energy size of atom PKA, space size.
3. MD the and KMC coupling process of reactor critical material Parallel Simulation as described in claim 1, it is characterised in that: step Suddenly defect statistical analysis is carried out using Wigner-Seitz primitive unit cell method in (3), the original in analyzing molecules dynamics simulation result Subcoordinate counts the coordinate position and quantity of polyatom cluster, vacancy, the input as dynamics Monte Carlo module.
4. MD the and KMC coupling process of reactor critical material Parallel Simulation as described in claim 1, it is characterised in that: step Suddenly call parameters needed for dynamics Monte Carlo simulation include: time span, random number seed, space size in (4).
5. MD the and KMC coupling process of reactor critical material Parallel Simulation as described in claim 1, it is characterised in that: step Suddenly the molecular dynamics cascade collision simulation in (2) uses unified lattice with the dynamics Monte Carlo simulation in step (4) Point and atomic data structure representation mode are all made of the mode of space division in task division, and guarantee to be divided into Molecule Motion Mechanics module is consistent with the lattice-site id on each parallel computation unit in the module of dynamics Monte Carlo, to make to be divided into Molecular dynamics module and the lattice-site being divided into the module of dynamics Monte Carlo can set up one-to-one mapping and close System.
6. MD the and KMC coupling process of reactor critical material Parallel Simulation as claimed in claim 5, it is characterised in that: institute The concrete form of the unified lattice-site and atomic data structure representation mode stated are as follows: set three-dimensional simulation area size as x*y*z, X, y, z is integer, and unit is lattice constant, then constructs three-dimensional array array [z] [y] [2*x], to save lattice-site or Atom information;Wherein, the length of first dimension of array is set to first, the space dimension lattice points of simulated domain Twice, remaining dimension remains unchanged.
7. MD the and KMC coupling process of reactor critical material Parallel Simulation as described in claim 1, it is characterised in that: logical The design for crossing calling interface, the unified data interaction structure of use sends defect statistical analysis result to dynamic in step (4) Mechanics Monte Carlo module.
CN201910724903.7A 2019-08-07 2019-08-07 MD the and KMC coupling process of reactor critical material Parallel Simulation Pending CN110427711A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910724903.7A CN110427711A (en) 2019-08-07 2019-08-07 MD the and KMC coupling process of reactor critical material Parallel Simulation

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910724903.7A CN110427711A (en) 2019-08-07 2019-08-07 MD the and KMC coupling process of reactor critical material Parallel Simulation

Publications (1)

Publication Number Publication Date
CN110427711A true CN110427711A (en) 2019-11-08

Family

ID=68413052

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910724903.7A Pending CN110427711A (en) 2019-08-07 2019-08-07 MD the and KMC coupling process of reactor critical material Parallel Simulation

Country Status (1)

Country Link
CN (1) CN110427711A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111695243A (en) * 2020-05-20 2020-09-22 北京科技大学 Communication method for synchronous parallel spatial resolution random cluster dynamics
CN112885414A (en) * 2021-03-31 2021-06-01 中国核动力研究设计院 Irradiation damage simulation system and method based on rate theory and cluster dynamics
CN116167272A (en) * 2023-02-21 2023-05-26 北京科技大学 Atomic scale MD-KMC parallel simulation unified modeling method and system

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060069515A1 (en) * 2004-09-30 2006-03-30 International Business Machines Corporation Method and system for protein folding trajectory analysis using patterned clusters
CN104048997A (en) * 2014-05-27 2014-09-17 天津大学 Oil-water phase content measurement method based on multivariate phase space complex network and verification method thereof
CN104268120A (en) * 2014-09-26 2015-01-07 安徽大学 Monte carlo simulation parallel computing method for kinetic process of polymerization reaction
WO2015021540A1 (en) * 2013-08-15 2015-02-19 Zymeworks Inc. Systems and methods for in silico evaluation of polymers
CN106407005A (en) * 2016-08-31 2017-02-15 中国科学院计算机网络信息中心 Concurrent process merging method and system based on multi-scale coupling

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060069515A1 (en) * 2004-09-30 2006-03-30 International Business Machines Corporation Method and system for protein folding trajectory analysis using patterned clusters
WO2015021540A1 (en) * 2013-08-15 2015-02-19 Zymeworks Inc. Systems and methods for in silico evaluation of polymers
CN104048997A (en) * 2014-05-27 2014-09-17 天津大学 Oil-water phase content measurement method based on multivariate phase space complex network and verification method thereof
CN104268120A (en) * 2014-09-26 2015-01-07 安徽大学 Monte carlo simulation parallel computing method for kinetic process of polymerization reaction
CN106407005A (en) * 2016-08-31 2017-02-15 中国科学院计算机网络信息中心 Concurrent process merging method and system based on multi-scale coupling

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
GABRIEL KABBE 等: "A Coupled Molecular Dynamics/Kinetic Monte Carlo Approach for Protonation Dynamics in Extended Systems", 《JOURNAL OF CHEMICAL THEORY AND COMPUTATION》 *
李建江 等: "MD与KMC的耦合模拟研究与实现", 《电子科技大学学报》 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111695243A (en) * 2020-05-20 2020-09-22 北京科技大学 Communication method for synchronous parallel spatial resolution random cluster dynamics
CN111695243B (en) * 2020-05-20 2023-05-12 北京科技大学 Communication method for synchronous parallel space resolution random cluster dynamics
CN112885414A (en) * 2021-03-31 2021-06-01 中国核动力研究设计院 Irradiation damage simulation system and method based on rate theory and cluster dynamics
CN116167272A (en) * 2023-02-21 2023-05-26 北京科技大学 Atomic scale MD-KMC parallel simulation unified modeling method and system
CN116167272B (en) * 2023-02-21 2024-01-26 北京科技大学 Atomic scale MD-KMC parallel simulation unified modeling method and system

Similar Documents

Publication Publication Date Title
CN110427711A (en) MD the and KMC coupling process of reactor critical material Parallel Simulation
Brown et al. Monte Carlo methods for radiation transport analysis on vector computers
Mallinson et al. Cloverleaf: Preparing hydrodynamics codes for exascale
CN100576221C (en) A kind of fault injection system of verifying anti-single particle effect capability and method thereof
JP6605610B2 (en) Semiconductor device
CN108427861A (en) A method of material periodicities polycrystalline structure is built based on mpt kits
TW200424941A (en) Memory rewind and reconstruction for hardware emulator
Dayan et al. EagleTree: Exploring the design space of SSD-based algorithms
Yu et al. GPGPU-MiniBench: accelerating GPGPU micro-architecture simulation
Brown Accelerating advection for atmospheric modelling on Xilinx and Intel FPGAs
Abreu et al. PIC codes in new processors: A full relativistic PIC code in CUDA-enabled hardware with direct visualization
Moor et al. libFAUDES—An open source C++ library for discrete event systems
CN110032489A (en) The processor device of performance information is collected by the recurrence based on command set
Almadi et al. New methods and tools for design of tests memory
Vlassopoulos et al. An FPGA design for the stochastic Greenberg-Hastings cellular automata
Ho et al. Multi-agent simulation on multiple GPUs
JPH07140289A (en) Neutron transport simulator
Todorov et al. Automated construction of a cycle-approximate transaction level model of a memory controller
Levesque Application development for titan-a multi-petaflop hybrid-multicore MPP system
Lee et al. Toward Heterogeneous Virtual Platforms For Early SW Development
Saboori et al. Hybrid prototyping of multicore embedded systems
Conti et al. Performance evaluation of digital pixel readout chip architecture operating at very high rate through a reusable UVM simulation framework
Navaridas et al. Realistic evaluation of interconnection networks using synthetic traffic
US20230074456A1 (en) Trace buffer data management
Sirakoulis et al. Cellular Automata and Power Consumption.

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination