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This paper is one of a series being presented at this conference summarizing the technical outcomes of NATO AVT-297. It presents the framework for a process that may be used to identify the requirements for physical referent data ...
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This paper is one of a series being presented at this conference summarizing the technical outcomes of NATO AVT-297. It presents the framework for a process that may be used to identify the requirements for physical referent data in support of computational model validation. This relies upon applying the principles of systems engineering to develop systematic abstractions and decompositions of the problem space. Rather than contriving to prescribe a specific, structured series of activities a priori, the framework relies on empirical observation and learning to facilitate the identification of candidate Points of Entry into model validation experiments. In order to avoid the inappropriate conflation of one form of abstraction with another, the framework builds on three architectures: functional, physical and modeling. Guidelines are provided as to how these may be distinguished and traversed consistently as they, themselves, mature. Particular attention is drawn to (i) the challenges that may be faced when handling mismatches in abstraction typical of those encountered in multidisciplinary modeling scenarios, and (ⅱ) the potential utility of multi-fidelity analyses as mechanisms for estimating model form uncertainty and assessing the suitability of candidate Points of Entry into model validation experiments. The importance of technique verification and validation dialog is reinforced throughout, highlighting the mutual accountability of those engaged in the computational and physical sciences to provide the learning and, subsequently, the capabilities that will be required to realize our digital transformation ambitions.
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摘要 :
Design of a complex product such as an aircraft is a long, costly, inter-disciplinary process that often take many years. Thanks to the increase in computational capabilities, engineers rely on computer models to make predictions ...
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Design of a complex product such as an aircraft is a long, costly, inter-disciplinary process that often take many years. Thanks to the increase in computational capabilities, engineers rely on computer models to make predictions about the expected performance of a designed product. However, the degree to which computational tools abstract the actual problem and its implications are commonly overlooked. In the absence of prior experience or validation data, it is very difficult to estimate the gap between the tool predictions and actual performance. In this paper, a systematic framework based on established Systems Engineering methods is proposed to ensure the fitness-for-purpose of possible models, keep a track of simplifying assumptions and requirements, and make a selection. The framework includes the description of the problem ontology, and how it relates to requirements, functional and physical decompositions. Furthermore, a scenario where more than one modeling option may be appropriate is used to illustrate the implications of propagated uncertainty on mission-level metrics obtained from using two different workflows for the same problem.
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Aircraft families are effectively used in the commercial market for reducing costs and for rapidly responding to emerging market needs. A conceptual-level platform design decision support environment with cost evaluation is create...
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Aircraft families are effectively used in the commercial market for reducing costs and for rapidly responding to emerging market needs. A conceptual-level platform design decision support environment with cost evaluation is created for a commercial transport aircraft family through an integrated Model-Based Systems Engineering (MBSE) approach in MagicDraw and Design Space Exploration (DSE) in JMP. System elements and family requirements are represented within the MagicDraw 19.0 environment as well as their relationships to promote consistency and traceability of the model elements. Design space exploration and interactive visualizations are used to enable both the selection of platform variables and product-specific variables, balancing the trade-off between commonality and performance criteria among a set of solutions obtained through aircraft sizing and synthesis. Finally, cost analysis is performed for the aircraft family variants and the results are compared against individual designs for quantifying the value of commonality for design and manufacturing costs.
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摘要 :
Aircraft families are effectively used in the commercial market for reducing costs and for rapidly responding to emerging market needs. A conceptual-level platform design decision support environment with cost evaluation is create...
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Aircraft families are effectively used in the commercial market for reducing costs and for rapidly responding to emerging market needs. A conceptual-level platform design decision support environment with cost evaluation is created for a commercial transport aircraft family through an integrated Model-Based Systems Engineering (MBSE) approach in MagicDraw and Design Space Exploration (DSE) in JMP. System elements and family requirements are represented within the MagicDraw 19.0 environment as well as their relationships to promote consistency and traceability of the model elements. Design space exploration and interactive visualizations are used to enable both the selection of platform variables and product-specific variables, balancing the trade-off between commonality and performance criteria among a set of solutions obtained through aircraft sizing and synthesis. Finally, cost analysis is performed for the aircraft family variants and the results are compared against individual designs for quantifying the value of commonality for design and manufacturing costs.
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摘要 :
Model-based systems engineering (MBSE) is increasingly being used for the design and development of complex systems. An MBSE approach can create a cohesive model of the system architecture and integrate various aspects of the desi...
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Model-based systems engineering (MBSE) is increasingly being used for the design and development of complex systems. An MBSE approach can create a cohesive model of the system architecture and integrate various aspects of the design. A key component of formulating an MBSE approach is having the capability to specify and express fundamental concepts about the system, and a systems modeling language gives that capability. In the past, Systems Modeling Language (SysML) has been widely implemented as an enabler of MBSE. However, several limitations of SysML have become apparent over the years that could not be resolved through simple revisions alone, so SysML v2 is under development. The primary limitation of SysML that this paper will address is the lack of interactivity and interoperability, which limits the ability to perform multidisciplinary analysis using the SysML model as input. This limitation has been alleviated using software solutions with SysML; however, the solutions are not guaranteed work together. This paper will evaluate the new innovations of SysML v2 with the primary emphasis on the new standard API and sophisticated textual language for enhancing interactivity and interoperability, especially with analysis tools, and propose a framework for leveraging these new capabilities in the design of a novel, hydrogen-powered aircraft. Development of this framework enables the automatic capture of decision-making based on new analysis or changes in requirements to update the system model and creates a method for coupling MBSE and MDAO activities.
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摘要 :
Model-based systems engineering (MBSE) is increasingly being used for the design and development of complex systems. An MBSE approach can create a cohesive model of the system architecture and integrate various aspects of the desi...
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Model-based systems engineering (MBSE) is increasingly being used for the design and development of complex systems. An MBSE approach can create a cohesive model of the system architecture and integrate various aspects of the design. A key component of formulating an MBSE approach is having the capability to specify and express fundamental concepts about the system, and a systems modeling language gives that capability. In the past, Systems Modeling Language (SysML) has been widely implemented as an enabler of MBSE. However, several limitations of SysML have become apparent over the years that could not be resolved through simple revisions alone, so SysML v2 is under development. The primary limitation of SysML that this paper will address is the lack of interactivity and interoperability, which limits the ability to perform multidisciplinary analysis using the SysML model as input. This limitation has been alleviated using software solutions with SysML; however, the solutions are not guaranteed work together. This paper will evaluate the new innovations of SysML v2 with the primary emphasis on the new standard API and sophisticated textual language for enhancing interactivity and interoperability, especially with analysis tools, and propose a framework for leveraging these new capabilities in the design of a novel, hydrogen-powered aircraft. Development of this framework enables the automatic capture of decision-making based on new analysis or changes in requirements to update the system model and creates a method for coupling MBSE and MDAO activities.
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摘要 :
Model-based systems engineering (MBSE) is increasingly being used for the design and development of complex systems. An MBSE approach can create a cohesive model of the system architecture and integrate various aspects of the desi...
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Model-based systems engineering (MBSE) is increasingly being used for the design and development of complex systems. An MBSE approach can create a cohesive model of the system architecture and integrate various aspects of the design. A key component of formulating an MBSE approach is having the capability to specify and express fundamental concepts about the system, and a systems modeling language gives that capability. In the past, Systems Modeling Language (SysML) has been widely implemented as an enabler of MBSE. However, several limitations of SysML have become apparent over the years that could not be resolved through simple revisions alone, so SysML v2 is under development. The primary limitation of SysML that this paper will address is the lack of interactivity and interoperability, which limits the ability to perform multidisciplinary analysis using the SysML model as input. This limitation has been alleviated using software solutions with SysML; however, the solutions are not guaranteed work together. This paper will evaluate the new innovations of SysML v2 with the primary emphasis on the new standard API and sophisticated textual language for enhancing interactivity and interoperability, especially with analysis tools, and propose a framework for leveraging these new capabilities in the design of a novel, hydrogen-powered aircraft. Development of this framework enables the automatic capture of decision-making based on new analysis or changes in requirements to update the system model and creates a method for coupling MBSE and MDAO activities.
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摘要 :
A conceptual design sizing and synthesis tool implementation in SysML with visualizations in JMP is demonstrated. Various system elements and their attributes are represented in the MagicDraw environment which improved collaborati...
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A conceptual design sizing and synthesis tool implementation in SysML with visualizations in JMP is demonstrated. Various system elements and their attributes are represented in the MagicDraw environment which improved collaboration within the team during the development of the model. The visualizations proved to be valuable artifacts to communicate details about the current system design, display available design decisions, and inform decision makers with immediate consequences of their ideas. After decisions have been made, the relevant metrics are transferred back to the system model and the design can be evaluated and analyzed further by requirements checks as well as other external computations that are also connected to the system model for the purpose of traceability of design decisions. The flexibility of the model-based systems engineering methods enable greater consistency of the design across many computational analyses.
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摘要 :
A conceptual design sizing and synthesis tool implementation in SysML with visualizations in JMP is demonstrated. Various system elements and their attributes are represented in the MagicDraw environment which improved collaborati...
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A conceptual design sizing and synthesis tool implementation in SysML with visualizations in JMP is demonstrated. Various system elements and their attributes are represented in the MagicDraw environment which improved collaboration within the team during the development of the model. The visualizations proved to be valuable artifacts to communicate details about the current system design, display available design decisions, and inform decision makers with immediate consequences of their ideas. After decisions have been made, the relevant metrics are transferred back to the system model and the design can be evaluated and analyzed further by requirements checks as well as other external computations that are also connected to the system model for the purpose of traceability of design decisions. The flexibility of the model-based systems engineering methods enable greater consistency of the design across many computational analyses.
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This research details the development of a design process and decision-making environment to support the acquisition of an air-based, interoperable, autonomous system-of-systems to support suppression of enemy air defenses mission...
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This research details the development of a design process and decision-making environment to support the acquisition of an air-based, interoperable, autonomous system-of-systems to support suppression of enemy air defenses missions. The design is done using a three part process, which includes the concurrent development of the DoDAF products, modeling and simulation environment, and decision support environment. In particular, the research focuses on understanding how the interactions, interoperability, and autonomy level of the unmanned aircraft affect the overall mission performance.
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