Complex System Simulation: Proposition of a MBSE Framework for Design-Analysis Integration

Graignic, Pascal; Vosgien, Thomas; Janković, Marija; Tuloup, Vincent; Berquet, Jennifer; Troussier, Nadège

doi:10.1016/j.procs.2013.01.007

Cited by 34 publications

(26 citation statements)

References 8 publications

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“…Its purpose is by defining products via annotating models in the upstream of PLM to ensure the smooth progress of works in downstream. [5,6]. Model based analysis takes the PDM system as the platform; it integrates the 3D design tools and simulation analysis tools to build a proper design and analysis environment.…”

Section: Figure 3 Mbse Integration Model  Model-based Engineeringmentioning

confidence: 99%

Aeronautics design and manufacture integrated enterprise model

Song

Yang

et al. 2017

MATEC Web Conf.

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Abstract. In order to realize the integration and concurrent of design and manufacture, enhance the efficiency of aircraft development enterprises, a model centre based design and manufacturing integrated enterprise model is proposed. The model centre consists of central system models, product models and process model. The design and manufacture integrated development model based on the unified model centre is discussed. Finally, a maturity control method supporting design and manufacturing integration is proposed.

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Section: Figure 3 Mbse Integration Model  Model-based Engineeringmentioning

confidence: 99%

Aeronautics design and manufacture integrated enterprise model

Song

Yang

et al. 2017

MATEC Web Conf.

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“…and output data (results, representations, reports, etc.). Other kinds of data were added to data models to support multi-domain, multi-component and multi-model simulation processes [4,11,[17][18][19], simulation workflow management [20] and simulation loops management [5]. In addition to these multiple data types, SDM has to deal with different data provenance.…”

Section: Data Modelsmentioning

confidence: 99%

“…Re-using data and best practices from previous analysis is a challenge for industry [11,17,30]. It may shorten simulation processes by taking advantage of accumulated expertise and avoiding long data retrieval operations, rework operations, or other operations with no added value.…”

Section: Data Re-use For Automation Of Simulation Processmentioning

confidence: 99%

Simulation data management for adaptive design of experiments: A litterature review

Blondet

Duigou

Boudaoud

et al. 2015

Mechanics & Industry

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-Recent evolutions of computer-aided product development and massive integration of numerical simulations to the design process require new methodologies to manage the continuously increasing flow of data and decrease the computational costs of numerical design of experiments. This paper presents a literature review of Simulation Data Management strategy and adaptive design of experiments methodology to detect possible links between these two fields and identify potential improvements for simulation process shortening. Adaptive design of experiments is based on several methods implying a profusion of different technics. Re-using best practices may help designers to choose relevant methods to reduce computational cost and simulation process duration.

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“…In this context, the input data of the INS have been utilized for computing the INS's outputs precisely; besides, the outputs also are a basis of estimating the geographic location of the vessel in water. Thus, understandable and reliable interfaces between the subsystems are the main prerequisite to organize the subsystems as an integrated system at the corporate level [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Interface Data Modeling to Detect and Diagnose Intersystem Faults for Designing and Integrating System of Systems

Seo

Park

2018

Complexity

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In system of systems engineering, system integrators are in charge of compatible and reliable interfaces between subsystems. This study explains a systematic solution to identify and diagnose interface faults during designing and integrating systems of systems. Because the systems targeted in this study are real underwater vessels, we first have anatomized 188 interface data transferred between 22 subsystems of them. Based on this, two interface data models are proposed, which include data sets regarding messages and inner fields and transition and decision functions for them. Specifically, a structure model at the message level evaluates how inner fields belong to a message, and a logic model at the field level assesses how each field is interpreted and if the interpreted value is understandable. The software that supports the modeling is implemented using the following concepts: (1) a model-view-viewmodel pattern for overall software design and (2) a computer network for representing sequential properties of field interpretations. The proposed modeling and software facilitate diagnostic decisions by checking the consistency between interface protocols and obtained real data. As a practical use, the proposed work was applied to an underwater shipbuilding project. Within 10 interfaces, 14 fault cases were identified and diagnosed. They were gradually resolved during the system design and integration phases, which formed the basis of successful submarine construction.

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Complex System Simulation: Proposition of a MBSE Framework for Design-Analysis Integration

Cited by 34 publications

References 8 publications

Aeronautics design and manufacture integrated enterprise model

Aeronautics design and manufacture integrated enterprise model

Simulation data management for adaptive design of experiments: A litterature review

Interface Data Modeling to Detect and Diagnose Intersystem Faults for Designing and Integrating System of Systems

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