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Transforming system modeling with Declarative Methods and Generative AI

Transforming System Modeling with Declarative Methods and Ge...

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AIAA SciTech Forum

作者： Fuchs, Jared Helmericht, Christopher Holland, Steven Celedon Solut Inc 108 Sorrelweed Dr Madison AL 35756 USA

ISBN: (数字)9781624107115

ISBN: (纸本)9781624107115

The advancement of fully digital engineering methods hinges on the widespread adoption of model-based system engineering (MBSE) processes, which are essential for effectively managing the escalating complexity of projects. A pivotal aspect of MBSE lies in the creation and utilization of detailed system models that digitally encapsulate project information. However, the current bottleneck in digital engineering primarily stems from the task of model creation. This paper explores the transformative potential of large language models (LLMs) in automating the model creation process within a novel declarative framework. Here, users engage with the system by expressing information or instructions in natural language, presenting a paradigm shift in how models can be created. The paper also presents the tangible impacts of incorporating LLMs on both cost and time factors associated with object creation, content review, and artifact creation. Real-world examples of LLM interactions are provided, offering concrete references to underscore the practical applicability and efficacy of this innovative approach with some tasks seeing a 10x-15x improvement in speed and cost. This research seeks to illuminate the path toward a more streamlined, efficient, and automated future for digital engineering, ushered in by the fusion of MBSE and the capabilities of LLMs.

关键词： model based system engineering Digital engineering Satellites International Space Station Data Products Transformer Natural Language Processing Data Structures Thermal Imaging NASA

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A modeling Framework for Evaluating Safety of Complex Aerospace systems

A Modeling Framework for Evaluating Safety of Complex Aerosp...

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AIAA Science and Technology Forum and Exposition (AIAA SciTech Forum)

作者： Chatterjee, Trina Cheng, Jennifer W. Healy, Brian E. Davies, Misty D. Univ Space Res Assoc Moffett Blvd Mountain View CA 94035 USA NASA Ames Res Ctr Moffett Blvd Mountain View CA 94035 USA

ISBN: (数字)9781624106095

ISBN: (纸本)9781624106095

Currently, aviation regulations and requirements are created in response to accidents. While these rules may be effective in preventing similar accidents, they do not help avert accidents that occur under different conditions. This project is an effort to identify potentially unsafe combinations of factors at a broader level by creating a unified modeling framework. The systems modeling Language (SysML) is used to model a variety of accidents at a high level. Those models are then used to identify key risk factors and safety metrics capable of characterizing a wide range of accidents. A unified modeling framework is created based on these metrics, which allows for the comparison of dissimilar accidents. This framework enables future research into the modeling of specific metrics, and the combined effect of these metrics on overall system safety. It should be considered as a proof of concept for SysML modeling of safety incidents and is designed to allow the addition of future models.

关键词： Aerospace system model based system engineering Air Travel Factor of Safety Aeroplane Crew Resource Management Tenerife Airport Disaster American Airlines Crew Member Minimum Safe Altitude Warning systems

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Towards a model-based Method for Resilient Critical Infrastructure engineering How to model Critical Infrastructures and evaluate its Resilience? 13

Towards a Model-Based Method for Resilient Critical Infrastr...

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13th system of systems engineering Conference (SoSE)

作者： Chapurlat, Vincent Daclin, Nicolas Bony-Dandrieux, Aurelia Tixier, Jerome Kamissoko, Daouda Benaben, Frederick Nastov, Blazo Univ Montpellier IMT Mines Ales Site Louis Leprince Ringuet Ales France Univ Toulouse Ctr Genie Ind IMT Mines Albi Campus Jarlard F-81013 Albi 09 Albi Ct France Axellience 4 Ave Saules F-59000 Lille France

ISBN: (纸本)9781538648766

This article introduces a tool-equipped method for modeling and simulating behaviors of a Critical Infrastructure (CI) considered here as system of systems, then evaluating its resilience. The method is based on modelling concepts, languages and tools from model based system engineering (MBSE), system of systems engineering (SoSE) and non-functional Properties management domains. It proposes an evaluation technique to evaluate nonfunctional properties, and particularly here considered resilience for which a metric is proposed. Simulation and evaluation are done by using a Multi Agent systems (MAS).

关键词： system of systems engineering model based system engineering Non-functional property Resilience Resilience Evaluation

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A Process Improvement model and Visualization Environment for Unmanned Aerial system (UAS) Noise Certification Flight Testing

A Process Improvement Model and Visualization Environment fo...

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AIAA SciTech Forum

作者： Balchanos, Michael Mali, Hajar Rameshbabu, Rahul Harrison, Evan D. Mavris, Dimitri Georgia Inst Technol Sch Aerosp Engn Aerosp Syst Design Lab Atlanta GA 30332 USA

ISBN: (数字)9781624107115

ISBN: (纸本)9781624107115

The focus of this research is the development of a framework for analyzing the process effectiveness and the outcomes of noise testing for Unmanned Aerial systems (UAS). Process effectiveness in noise testing is quantified in terms of metrics of interest such as time, cost, process complexity, and risks. Simulating the noise certification process through the proposed framework provides a better understanding and characterization of the process, including gaps, bottlenecks and unnecessary redundancies. Furthermore, exploration of potential improvements to for noise testing procedures may be realized through sampling of certification process time and cost via the use of Design-of-Experiments, enabling downstream analysis and optimization of test procedures. For selection of improvement strategies, the visualization of the process and the respective analysis outputs is achieved through an integrated decision making dashboard. Through this environment, it is possible to review critical analysis results and alternative testing procedures by assessing the adherence to regulatory practices and the performance improvements of alternative noise testing processes with respect to the metrics of interest.

关键词： Unmanned Aircraft system Flight Testing Design of Experiments Flight Planning model based system engineering Cumulative Distribution Function Federal Aviation Administration Monte Carlo Simulation Feedback Loop Data Analysis

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system Architecture Optimization: An Open Source Multidisciplinary Aircraft Jet Engine Architecting Problem

System Architecture Optimization: An Open Source Multidiscip...

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AIAA Aviation Forum and Exposition

作者： Bussemaker, J. H. De Smedtt, T. La Rocca, G. Ciampa, P. D. Nagel, B. DLR German Aerosp Ctr Inst Syst Architectures Aeronaut MDO Grp Aircraft Design & Syst Integrat Hamburg Germany Delft Univ Technol Fac Aerosp Engn Flight Performance & Prop Delft Netherlands

ISBN: (数字)9781624106101

ISBN: (纸本)9781624106101

Decisions regarding the system architecture are important and taken early in the design process, however suffer from large design spaces and expert bias. systematic design space exploration techniques, like optimization, can be applied to system architecting. Realistic engineering benchmark problems are needed to enable development of optimization algorithms that can successfully solve these black-box, hierarchical, mixed-discrete, multi-objective architecture optimization problems. Such benchmark problems support the development of more capable optimization algorithms, more suitable methods for modeling system architecture design space, and educating engineers and other stakeholders on system architecture optimization in general. In this paper, an engine architecting benchmark problem is presented that exhibits all this behavior and is based on the open-source simulation tools pyCycle and OpenMDAO. Next to thermodynamic cycle analysis, the proposed benchmark problem includes modules for the estimation of engine weight, length, diameter, noise and NOx emissions. The problem is defined using modular interfaces, allowing to tune the complexity of the problem, by varying the number of design variables, objectives and constraints. The benchmark problem is validated by comparing to pyCycle example cases and existing engine performance data, and demonstrated using both a simple and a realistic problem formulation, solved using the multiobjective NSGA-II algorithm. It is shown that realistic results can be obtained, even though the design space is subject to hidden constraints due to the engine evaluation not converging for all design points.

关键词： Aircrafts Afterburner Thermodynamic Cycles Optimization Algorithm Black Box Space Exploration Thrust Specific Fuel Consumption Turbofan Engines Airframes model based system engineering

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From BERTopic to SysML: Informing model-based Failure Analysis with Natural Language Processing for Complex Aerospace systems

From BERTopic to SysML: Informing Model-Based Failure Analys...

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AIAA SciTech Forum

作者： Mbaye, Seydou Walsh, Hannah S. Infeld, Samantha I. Davies, Misty D. Jones, Garfield NASA Ames Res Ctr Intelligent Syst Div Moffett Field CA 94035 USA NASA Langley Res Ctr Hampton VA 23665 USA Morgan State Univ Dept Ind & Syst Engn Baltimore MD 21251 USA NASA Syst Wide Safety Moffett Field CA USA Morgan State Univ Ind & Syst Engn Baltimore MD 21239 USA

ISBN: (数字)9781624107115

ISBN: (纸本)9781624107115

The development of emerging complex aerospace systems will require new approaches for capturing safety incident scenarios as early as possible in the design phase. However, for novel systems, relevant data available is limited. In this work, we propose a framework informing model-based mission assurance activities with historical incident reports, lessons learned, or other relevant engineering documents using natural language processing. In doing so, we investigate whether there is useful information in data sets that are relevant, if not identical, to the system under design and whether, through rigorous systems engineering practice, this information can be effectively leveraged through model-based failure analysis. In a worked case study, we apply state-of-the-art topic modeling techniques to two data sets, a mission relevant data set and a system relevant data set. The sets of topics are merged and interpreted to form a preliminary list of failure topics that can be used to inform the identification of off-nominal modes in the model-based failure modes and effects analysis development. Once data from the system in operation is available, it can be used to update the topics identified. By extracting information about likely failures from relevant historical data sets and utilizing model-based mission assurance to ensure relevance and rigor, unanticipated failures can be reduced, and projects can more effectively learn from past missions.

关键词： Aerospace system Failure Modes and Effects Analysis Natural Language Processing model based system engineering Controlled Airspace Unmanned Aircraft system Aviation Safety Reporting system National Airspace system National Aeronautics and Space Administration International Civil Aviation Organization

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system engineering for Radio Frequency Communication Consolidation with Parabolic Antenna Stacking

System Engineering for Radio Frequency Communication Consoli...

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作者： Sugama, Clive Colorado State University

学位级别：Ph.D.

This dissertation implements system engineering (SE) practices while utilizing model based system engineering (MBSE) methods through software applications for the design and development of a parabolic stacked antenna. Parabolic antenna stacking provides communication system consolidation by having multiple antennas on a single pedestal which reduces the number of U.S. Navy shipboard topside antennas. The dissertation begins with defining early phase system lifecycle processes and the correlation of these early processes to activities performed when the system is being developed. Performing SE practices with the assistance of MBSE, Agile, Lean methodologies and SE/engineering software applications reduces the likelihood of system failure, rework, schedule delays, and cost overruns. Using this approach, antenna system consolidation via parabolic antenna stacking is investigated while applying SE principles and utilizing SE software applications. SE/engineering software such as IBM Rational Software, Innoslate, Antenna Magus, ExtendSim, and CST Microwave Studio were used to perform SE activities denoted in ISO, IEC, and IEEE standards. A method to achieve multi-band capabilities on a single antenna pedestal in order to reduce the amount of U.S. Navy topside antennas is researched. An innovative approach of parabolic antenna stacking is presented to reduce the amount of antennas that take up physical space on shipboard platforms. Process simulation is presented to provide an approach to improve predicting delay times for operational availability measures and to identify process improvements through lean methodologies. Finally, this work concludes with a summary and suggestions for future work.

关键词： Antenna Radiation Patterns model based system engineering systems engineering Communication systems Antenna Measurements Satellite Communication

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Towards a reasoning framework for digital clones using the digital thread 55

Towards a reasoning framework for digital clones using the d...

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55th AIAA Aerospace Sciences Meeting

作者： French, Mathew Miled, Zina Ben Rolls-Royce North American Technologies Inc Indianapolis IN46241 United States Electrical and Computer Engineering Department Purdue School of Engineering and Technology IUPUI IndianapolisIN46205 United States

ISBN: (数字)9781624104473

ISBN: (纸本)9781624104473

The digital thread is a rapidly expanding concept being explored within many domains including aerospace, automotive, and health. The main focus of the digital thread is the digital representation of the target entity or product from one phase to the next of its lifecycle thereby creating a digital clone of the entity. This digital clone can help provide a better understanding of the entity and can sometimes replace the expensive physical simulation and diagnosis processes. To realize a digital clone, a common domain agnostic framework is needed. This framework must accommodate an important aspect of the digital clone which consists of the ability to manage product requirements and how they are influenced by external trends that may potentially necessitate solution modifications. These external trends can be collectively described by the PESTLE model which includes Political, Economic, Sociocultural, Technological, Legal, and Environmental factors. In this paper, we propose the use of category theory to introduce a reasoning framework that is applicable to simple, complicated, and most importantly complex systems for a product across its entire lifecycle. The framework allows knowledge about how the entire lifecycle of a product could be impacted through requirements modifications enabling continued product validity. © 2017 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

关键词： model based system engineering Mathematical models Gas Turbine Engines Unified modeling Language National Aeronautics and Space Administration Unmanned Aerial Vehicle Propulsion system Energy Storage Computing Product Lifecycle Management

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Implementing enterprise systems engineering enabled by the digital engineering approach

Implementing enterprise systems engineering enabled by the d...

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Accelerating Space Commerce, Exploration, and New Discovery Conference, ASCEND 2020

作者： Martin, James N. Noguchi, Ryan A. Minnichelli, Robert J. Wheaton, Marilee J. The Aerospace Corporation ChantillyVA20151 United States The Aerospace Corporation El SegundoCA90245 United States

ISBN: (数字)9781624106088

ISBN: (纸本)9781624106088

systems are becoming increasingly interdependent and interconnected while the enterprise charged with developing such systems faces a challenge in ensuring that these dependencies and interconnections are known and well understood such that the enterprise’s portfolio of programs, projects and systems will be balanced and robust. Enterprise systems engineering (ESE) is an emerging discipline that is designed to handle the challenges of helping to manage this portfolio and ensuring that the various mission and business systems are developed in a coherent, efficient and effective manner. As defined in the U.S. Department of Defense (DoD) Digital engineering (DE) Strategy, DE is "an integrated digital approach that uses authoritative sources of system data and models as a continuum across disciplines to support lifecycle activities from concept through disposal." That Strategy establishes a set of goals and objectives for DE within the Department. This paper describes the desired features of an ESE capability that can help the enterprise manage its portfolio as well as addressing the various non-system solutions that must be brought to bear. The strategy for realizing this ESE capability is described in terms of the goals and objectives that the enterprise should be expected to achieve. The paper then describes the roles and responsibilities needed for the effective and efficient implementation of DE principles and concepts in support of the systems engineering activities across the enterprise to facilitate the disciplined exercise of ESE at every organizational level. © 2020 The MITRE Corporation. All Rights Reserved.

关键词： model based system engineering Information Technology Information system Continuous Process Improvement Unmanned Aerial Vehicle Commercial off the Shelf Air Force Space Command Operating systems Pilot Intellectual Property

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A Meta model for systems engineering

A Meta Model for Systems Engineering

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AIAA Science and Technology Forum and Exposition (AIAA SciTech)

作者： Livingston, John W. Riverside Res Beavercreek OH 45431 USA

ISBN: (数字)9781624105951

ISBN: (纸本)9781624105951

This paper outlines the requirements and architecture of software suitable for supporting the development of a systems or system of systems by groups of distributed teams and stakeholders. A meta model is developed to guide such a development. This paper discusses the wide range of functionality needed. Team command and control structures are needed. Performance, Effectiveness, Risk Cost and Schedule (PERCS) needs are outlined. Complex system models need to be easily created navigated and modified. The ability to produce high quality CAD geometry is generally needed. Parametric models need to be built up quickly using pre-engineered parametric components driven by familiar engineering parameters. A library of pre-engineered parametric components is needed. The component library must be extensible by the user if different components are needed. Sensitivity analysis, uncertainty quantification and propagation are needed to support risk analysis. Unified model data storage and retrieval and automatic report generation are needed for a range different stakeholder.

关键词： model based system engineering Sensitivity Analysis Data Storage Feedback Loop Graphical User Interface Surrogate model Design for Manufacturing Space Exploration Computational Fluid Dynamics Code Finite Element Method Software

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