WO2015037296A1 - Dispositif d'analyse de système - Google Patents

Dispositif d'analyse de système Download PDF

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Publication number
WO2015037296A1
WO2015037296A1 PCT/JP2014/065672 JP2014065672W WO2015037296A1 WO 2015037296 A1 WO2015037296 A1 WO 2015037296A1 JP 2014065672 W JP2014065672 W JP 2014065672W WO 2015037296 A1 WO2015037296 A1 WO 2015037296A1
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analysis
model
fidelity
models
region
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PCT/JP2014/065672
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English (en)
Japanese (ja)
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和之 杉村
野中　紀彦
真行 海保
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株式会社日立製作所
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Priority to JP2015536463A priority Critical patent/JPWO2015037296A1/ja
Publication of WO2015037296A1 publication Critical patent/WO2015037296A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G06F30/23—Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]

Definitions

  • the present invention relates to a technique for analyzing an entire product system using simulation.
  • the following two approaches can be considered.
  • One is an approach based on detailed analysis by a finite element method or a finite volume method using an analysis grid. In this approach, there is no problem when the analysis target is small, but the analysis scale increases as the scale of the product system increases, making it difficult to perform the analysis in a realistic calculation time.
  • the second approach is a method based on a simple analysis based on a functional model such as a one-dimensional model without using an analysis grid. Although this approach makes it possible to analyze the macroscopic behavior of the entire product system within a practical time, it cannot elucidate complex phenomena that are not considered in modeling.
  • fidelity is defined as the fidelity and detail level of the phenomenon expressed in the analysis model, as described above, the simulation of the entire product system is performed by combining the analysis model with different fidelity and performing coupled calculations. Is possible. This concept will be referred to as multi-fidelity overall integration analysis.
  • Patent Document 1 describes a high-accuracy plain weave membrane material analysis system capable of minimizing elements only in parts that require accuracy and minimizing calculation costs. According to the material and analysis accuracy of the plain woven fabric, analysis models with different fidelities, a linear elastic body model and a nonlinear elastic body model, are prepared in the library and can be arbitrarily selected and used.
  • Patent Document 2 proposes a simulation technique aiming at high accuracy and short calculation time. Only the part that requires calculation accuracy is used as a high-precision simulation model, and other parts are calculated using a low-precision model. Further, it is described that a threshold for data deviation between simulation models can be set as a selection condition for connection switching with respect to a coupled calculation method between models with different accuracy.
  • Patent Document 1 it is stated as a requirement common to the analysis system that the analysis accuracy can be selected for each part and the boundary condition can also be selected.
  • the optimal way of passing analysis data at the connection interface differs depending on the combination. Therefore, in order to execute the analysis with high accuracy, it is necessary to appropriately select the interface information exchange method according to the fidelity to be combined.
  • an analysis model having a plurality of different fidelities is prepared for each analysis region, and the analysis model and a data coupling calculation method at an interface between the analysis models are respectively selected from a menu.
  • the data coupling calculation method of the interface between the analytical models can be switched according to the combination of fidelity of the analytical models connected to each other and the direction of data transmission. It is characterized by.
  • an analysis model having a plurality of different fidelities is prepared for each analysis region, and the data coupling calculation method at the interface between the analysis model and the analysis model is determined by a menu.
  • a system analysis device that performs coupled analysis by selecting each of them, and has a function of generating a new analysis model by fusing together analysis models of different fidelity for the same analysis area It is.
  • an analysis model having a plurality of different fidelities is prepared for each analysis region, and the data coupling calculation method at the interface between the analysis model and the analysis model is determined by a menu.
  • the system analysis apparatus that selects and executes the coupled analysis has a function of generating a lower fidelity analysis model from a high fidelity analysis result in the same analysis region.
  • the analysis region has a different range for each fidelity, and when the fidelity to be analyzed is selected, the range of the analysis region to be analyzed is automatically adjusted. To do.
  • the data coupling calculation method that can be selected uses a spatio-temporal main mode or design meta information of a design rule.
  • transfer of calculation data at the connection interface of analysis models having different fidelity can be made variable depending on the combined fidelity and the direction of data transmission, instead of performing a uniform arithmetic averaging process. .
  • the analysis accuracy of the low fidelity model can be improved without increasing the calculation load much.
  • FIG. 1 shows various fidelity analysis model groups in the library when the analysis region is plotted on the horizontal axis and the analysis region is plotted on the vertical axis.
  • a model-based analysis based on a one-dimensional analysis model is prepared as a low fidelity model
  • a three-dimensional mesh-based steady analysis model is prepared as a medium fidelity model
  • 3 A dimensional mesh-based transient analysis model is prepared.
  • two-dimensional mesh-based stationary and non-stationary analysis models are conceivable and are arbitrarily prepared. The same applies to the analysis region ⁇ , even when the number of analysis regions and fidelity is larger.
  • the analysis model with the desired fidelity is selected from the analysis models prepared for each analysis area, and the overall analysis is realized by performing mutual calculations. To do.
  • the selection of the fidelity to be used as described above and the selection menu for the coupling calculation method between models are prepared, which is the minimum necessary basic requirement of the system analysis apparatus of the present invention. It shall have characteristics.
  • the configuration of the first feature in the present invention is the optimal selection of the model cooperation method.
  • the model cooperation method defines a method for transferring calculation data at a connection interface between different analysis regions, as shown in the model cooperation method 100 or the model cooperation method 101 in FIG.
  • the model cooperation method 100 indicates that a low fidelity model is selected in the analysis region ⁇ and a high fidelity model is selected in the analysis region ⁇ , and the two are coupled and calculated.
  • the model cooperation method 101 indicates that the analysis region ⁇ selects the low fidelity model and the analysis region ⁇ selects the medium fidelity model, and the two are coupled.
  • the model to be connected can be arbitrarily selected in this way, there is an optimal delivery method depending on the combination of the fidelity of the analysis model to be connected and the direction in which the calculation data is passed from which to which. These can be selected automatically or manually.
  • FIG. 2 shows an example of a matrix table that defines the optimal delivery method. This figure takes up steady 1D analysis, unsteady 1D analysis, steady 2D analysis, unsteady 2D analysis, steady 3D analysis, and unsteady 3D analysis as fidelity of the analysis model.
  • the vertical direction of the table shows the fidelity of the analysis model on the side that sends the coupled data
  • the horizontal direction shows the fidelity of the analysis model on the side that receives the coupled data.
  • the cells to be noted are 200 and 201.
  • the output value at one point of the interface on the one-dimensional analysis side can be transferred to the three-dimensional analysis side, although the time variation effect can be passed.
  • the following method can be considered as a more advanced delivery method. That is, it is a system in which main fluctuation modes are extracted by mode analysis of interface fluctuations in the unsteady three-dimensional analysis, and only information on these main modes is transferred. Such a method is particularly effective when analyzing periodic phenomena, and it is not necessary to transfer all analysis data, leading to a reduction in analysis scale. In addition, there is a merit that it can be applied to an analysis purpose for selectively analyzing the influence of a specific fluctuation mode on a product system. As described above, in the present invention, data is coupled by extracting main spatiotemporal modes using information reduction techniques such as mode analysis and principal component analysis.
  • connection method specifically shown in the cell of FIG. 2 is merely an example, and other connection methods such as a method applying the above-described design rules and a method of transmitting the main mode may be assigned.
  • the configuration of the second feature of the present invention is the model fusion method selection 102 shown in FIG.
  • This is a procedure for fusing a plurality of analysis models having different fidelity provided in the same analysis area.
  • This figure shows that a high fidelity model in the analysis region ⁇ and a medium fidelity model are merged to create a new analysis model.
  • high fidelity analysis has high calculation accuracy but high calculation load.
  • the low fidelity analysis has a low calculation load but a low calculation accuracy.
  • a system that improves the analysis accuracy without degrading the analysis speed by incorporating a small number of high fidelity analysis results into an analysis model having a lower fidelity is incorporated as a feature of the system analysis apparatus. This function is called model fusion.
  • the model data with higher fidelity does not necessarily need to be an analysis (simulation) result, and can be realized even with measurement data.
  • Specific technical means for model fusion include Kalman filter and four-dimensional variational method.
  • the weather simulation illustrated in FIG. 3 there is an example of the weather simulation illustrated in FIG. 3, and a small number of actual observation data 300 on the earth indicated by black circles are taken into the fluid analysis 301 for meteorology, and the analysis result is measured. It is said that the weather prediction accuracy is improved by carrying out a fusion simulation that matches the results.
  • the present invention does not define a specific implementation technique, but proposes a system analysis apparatus incorporating such a fusion technique. By having this feature, it is possible to newly generate an analysis model having intermediate fidelity, which is not in the existing analysis model library, and there is an effect that the versatility and operability of the analysis apparatus can be expanded.
  • the configuration of the third feature in the present invention is selection 103 of the model relaxation method shown in FIG.
  • This shows an operation of generating a lower fidelity analysis model from a high fidelity analysis model in the same analysis area.
  • analysis of high fidelity is good at elucidating phenomena, but it is difficult to use for design as routine work because of the calculation time. Therefore, as illustrated in FIG. 4, a number of high fidelity analyzes are performed on some response value when parameters are set in advance, and the result 400 is stored as data, and is used for high-speed calculation.
  • a low fidelity analysis model 401 capable of performing the calculation is constructed and the calculation is performed.
  • Specific implementation means include a response surface model and a lookup table, all of which correspond to creating an approximate model that interpolates the high fidelity analysis results.
  • FIG. 5 shows a menu display example provided in the graphical user interface device 500 of the system analysis device of the present invention.
  • ⁇ Analysis area list 503 an analysis condition setting screen 501 for displaying a list 504 of connection interfaces between analysis areas, and a viewer 502 for a specific analysis model.
  • a detailed setting menu 505 is prepared for each analysis area, and a menu 506 indicating which fidelity model is selected and other option setting items 507 to be set for each selected fidelity are presented. For example, when an unsteady analysis model is selected as the fidelity, an item for specifying an option related to the time integration method that is not present when the steady analysis model is selected is displayed.
  • the connection interface list 504 it is assumed that a method for specifying data coupling at an interface can be selected and an option item can be specified.
  • the above menu shows the menu configuration related to the basic configuration and the first feature configuration of the present embodiment, but the configuration of the second feature and the configuration of the third feature described above are similarly passed through the user interface.
  • the display example in FIG. 5 is merely an example, and is not particularly limited to this screen image.
  • the viewer 502 portion of the analysis model can also be a block diagram.
  • FIG. 6 shows a second embodiment of the present invention.
  • a plurality of fidelity models are prepared for each analysis region.
  • a system configuration is shown in which the range of the target analysis region changes for each fidelity. That is, in the embodiment of FIG. 6, the low fidelity analysis model 600 is expressed as one model for all of the analysis areas A, B, and C, but the medium fidelity analysis models 601 and 602 are the analysis areas, respectively. Modeled for A, analysis area B + C.
  • the high fidelity analysis model is individually constructed as the high fidelity analysis models 603, 604, and 605 for each analysis region.
  • the analysis system when a specific analysis region is selected and a fidelity to be used in the analysis is selected from the specific analysis region, the analysis system is configured such that the range of the target analysis region is automatically changed.
  • the same configurations as the first to third features shown in the first embodiment and the setting operation / menu configuration of analysis conditions.
  • the system analysis apparatus based on the concept of multi-fidelity overall integration analysis has been described above using the first and second embodiments.
  • the analysis model library according to the present invention does not have to exist on a stand-alone system on the same computer platform, and can be implemented in a configuration in which the library is distributed on the Internet, such as cloud computing.
  • Fidelity selection menu 507 ... Option item setting menu by fidelity, 600 ... Low fidelity model , 601 ... medium fidelity model 1, 602 ... medium fidelity model 2, 603 ... high fidelity model 1, 604 ... high fidelity model 2, 605 ... high fidelity model 3

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Abstract

L'invention se rapporte à un dispositif d'analyse de système très rapide et très précis qui a une exploitabilité et une polyvalence excellentes. Dans ce dispositif d'analyse de système, plusieurs modèles d'analyse ayant des fidélités différentes sont préparés pour chaque région d'analyse d'un système, et ce dispositif d'analyse de système réalise une analyse couplée au moyen d'un menu servant à sélectionner un modèle d'analyse et d'un procédé permettant de calculer le couplage de données aux interfaces entre les modèles d'analyse. Ledit dispositif d'analyse de système est caractérisé en ce que : le procédé permettant de calculer le couplage de données aux interfaces entre les modèles d'analyse change conformément à la combinaison des fidélités des modèles d'analyse reliés les uns aux autres et à la direction de transfert de données; un nouveau modèle d'analyse est généré par combinaison de plusieurs modèles d'analyse ayant des fidélités différentes dans la même région d'analyse; et un modèle d'analyse ayant une fidélité plus basse est généré à partir du résultat de l'analyse d'un modèle à haute fidélité dans la même région d'analyse.
PCT/JP2014/065672 2013-09-11 2014-06-13 Dispositif d'analyse de système WO2015037296A1 (fr)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPWO2018030030A1 (ja) * 2016-08-08 2019-04-25 株式会社日立製作所 全体統合解析モデル支援装置
US11132616B2 (en) 2016-09-20 2021-09-28 Kabushiki Kaisha Toshiba Characteristic value estimation device and characteristic value estimation method
WO2024104485A1 (fr) * 2022-11-18 2024-05-23 中广核研究院有限公司 Procédé et appareil de construction de réseau multi-fidélité pour test de simulation de réacteur nucléaire

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000352545A (ja) * 1999-06-11 2000-12-19 Mitsubishi Heavy Ind Ltd 流体・構造連成解析装置
JP2004337792A (ja) * 2003-05-19 2004-12-02 Mitsui Chemicals Inc 化学装置内の流動状態を考慮した数値反応解析方法、その方法を実行する計算プログラム及びそれを記録した記録媒体
JP2007178830A (ja) * 2005-12-28 2007-07-12 Fuji Xerox Co Ltd シミュレーション装置及びシミュレーション方法、画像形成装置及び画像形成方法、並びにコンピュータ・プログラム

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000352545A (ja) * 1999-06-11 2000-12-19 Mitsubishi Heavy Ind Ltd 流体・構造連成解析装置
JP2004337792A (ja) * 2003-05-19 2004-12-02 Mitsui Chemicals Inc 化学装置内の流動状態を考慮した数値反応解析方法、その方法を実行する計算プログラム及びそれを記録した記録媒体
JP2007178830A (ja) * 2005-12-28 2007-07-12 Fuji Xerox Co Ltd シミュレーション装置及びシミュレーション方法、画像形成装置及び画像形成方法、並びにコンピュータ・プログラム

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPWO2018030030A1 (ja) * 2016-08-08 2019-04-25 株式会社日立製作所 全体統合解析モデル支援装置
US11132616B2 (en) 2016-09-20 2021-09-28 Kabushiki Kaisha Toshiba Characteristic value estimation device and characteristic value estimation method
WO2024104485A1 (fr) * 2022-11-18 2024-05-23 中广核研究院有限公司 Procédé et appareil de construction de réseau multi-fidélité pour test de simulation de réacteur nucléaire

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