Author: David Chau Co-author: Mitul Patel

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Presentation transcript:

Author: David Chau Co-author: Mitul Patel Engineered Resilient Systems: A Practical Armament Example and Study 19th Annual NDIA Systems Engineering Conference Author: David Chau Co-author: Mitul Patel Date: 27 October 2016 US Army Armaments Research, Development, and Engineering Center UNCLASSIFIED: DISTRIBUTION STATEMENT A: Approved for public release; distribution is unlimited. Instructions for saving charts in “Internal Review” shared folder: Save document under the following directory: T:\TACOM\TARDEC\Tech Director\Internal Review\(your respective program name) Name document as follows: <042QRev (year and quarter of review)> _<program name> (i.e.: 042QRev_ FCLAS ) DISTRIBUTION A l UNCLASSIFIED

ERS Tradespace Analysis Discover what building engineered resiliency means to Armaments Learn how to utilize ERS Tradespace Tools to support Army RDT&E projects Investigate Integrated Model Based Engineering best practices (MBE & MBSE) Advance Multi-Objective Decision Analysis methodology and tool UNCLASSIFIED: DISTRIBUTION STATEMENT A: Approved for public release; distribution is unlimited. DISTRIBUTION A l UNCLASSIFIED

Background Mortar Munition Case Study Goal To utilize ERS Tradespace software tools to implement ARDEC SE best practices utilizing an Integrated Model Based Engineering approach on RDT&E projects What Proof of Concept to exercise Engineered Resiliency in Munitions Systems Design Scope: Leverage Mortar Domain System Model example and executable physics based models to generate multi-objective Tradespace analysis for optimized system performance (lethality, effectiveness, cost) Analyze Execute Define UNCLASSIFIED: DISTRIBUTION STATEMENT A: Approved for public release; distribution is unlimited. DISTRIBUTION A l UNCLASSIFIED

Building Resiliency into Munitions System Design UNCLASSIFIED // FOR OFFICIAL USE ONLY Building Resiliency into Munitions System Design Can the use of ERS methods, processes, and tools improve the Systems Engineering design process? Better understand the exchange and integration of the Systems Model Concept Capture rationale from Concept Feasibility Studies Capture and link engineering analysis to support Requirements Analysis and Architecture Design Phases Improve the identification and prioritization of SE Trade Analysis Tradespace analysis for an optimized and resilient munition Science & Technology (S&T) Early Concepts & Design Systems Analysis Traditional Reiterative Process Anti-Materiel Lethality What IF $$$$$ “Illities” Anti-Personnel Lethality Many Other Competing Trades Hazard Analyses Changes in Mission Evolving Threats Changes in capabilities/technology UNCLASSIFIED: DISTRIBUTION STATEMENT A: Approved for public release; distribution is unlimited. DISTRIBUTION D l UNCLASSIFIED // FOR OFFICIAL USE ONLY

Trade Define: Model Based SE Requirements Diagrams Science & Technology (S&T) Early Concepts & Design Architecture MBSE approach to trace requirements to architecture. Traceability thru KPPs/KSAs to your architecture diagrams. Ability to feed MODA analysis downstream add value criteria against KPPs and evaluate during the Trade Analyze to evaluate optimal characteristics. Trade Define: Model Based Systems Engineering (MBSE) approach to conduct: Stakeholder Requirements Definition: Operational Requirements, CONOPS, MoEs/MoPs Requirements Analysis: Traceability, Visualize Relationships Architecture Design: Analysis to enable Tradespace Exploration, Conduct Systems Engineering Trade analysis, and Enable Multi-Objective Decision Analysis (MODA) UNCLASSIFIED: DISTRIBUTION STATEMENT A: Approved for public release; distribution is unlimited. DISTRIBUTION A l UNCLASSIFIED

Fragmentation Simulation Model Lethal Area Simulation Model Trade Execute: Multidisciplinary Design Analysis and Optimization (MDAO) “The Process” Early Concepts & Design Material Attributes Explosive Attributes Fragmentation Simulation Model Cost Model $$$$$ Unit Production Cost (USD) Shell Material Explosive Type Cylinder Length (mm) Cylinder Thickness (mm) Optimized Boom Average Fragment Mass (grains) Fragment Initial Velocity (ft/s) Number of Fragments Lethal Area Simulation Model RTD Simulation Model Delivery Accuracy Location Error Lethal Range Threshold (m) Rounds to Defeat (30% confidence) Modeling the Multidisciplinary Analysis Workflow Integrated multi-domain analysis into ERS execution Key Continuous Input Discrete Input UNCLASSIFIED: DISTRIBUTION STATEMENT A: Approved for public release; distribution is unlimited.

Trade Execute: MDAO Implementing “The Process” in ERS $$$$$ Unit Production Cost (USD) Optimized Boom Trade Define Trade Analyze Rounds to Defeat (30% confidence) Trade Execute Trade Execute: Model Based Systems Engineering (MBSE) approach to: Establish a Dynamic Model Execution Framework for your specific Problem Space/System of Interest (executable model) Comprehensive models/visualization of the multi-disciplinary system analysis process and workflow to analyze system level performance System Requirements, Architectures, Physical Design Space are all traced to enable System Analysis activities and SE Trades UNCLASSIFIED: DISTRIBUTION STATEMENT A: Approved for public release; distribution is unlimited.

Trade Analyze: Tradespace Analysis Trade Analyze: Across Multi-Criteria (system level requirement) Provides a powerful visualization workspace to quickly view analysis results across large tradespace Toolset includes histograms, scatterplots, boxplots, sensitivity analysis, etc. UNCLASSIFIED: DISTRIBUTION STATEMENT A: Approved for public release; distribution is unlimited.

Trade Analyze: Tradespace Analysis Trade Analyze: Focus on single criteria (individual requirement) Visualizations provide dynamic filtration tools Easily able to assess system relationships and behaviors UNCLASSIFIED: DISTRIBUTION STATEMENT A: Approved for public release; distribution is unlimited.

Trade Analyze: Tradespace Analysis Trade Analyze: Multi-Criteria Decision Making (MCDM) Ability to generate probabilistic solutions versus point solutions Tools are feature rich and capable of superimposing constraints for ease of use High volume data sets on the order of 103 can be reduced to ~25 UNCLASSIFIED: DISTRIBUTION STATEMENT A: Approved for public release; distribution is unlimited.

Trade Analyze: Tradespace Analysis Trade Analyze: Individual Requirement Enables the ability to compare configurations against specific requirements Requirements can be adjusted and effects of changes are seen on dynamic plots UNCLASSIFIED: DISTRIBUTION STATEMENT A: Approved for public release; distribution is unlimited.

Trade Analyze: Tradespace Analysis Trade Analyze: Set of Requirements (System Level) Full customization of weighted requirements is accessible Provides a view comparing various configurations ability to satisfy requirements UNCLASSIFIED: DISTRIBUTION STATEMENT A: Approved for public release; distribution is unlimited.

UNCLASSIFIED // FOR OFFICIAL USE ONLY Was the Boom Worth It? Modular Analysis & Tools to create reusable set of System Models Ability to integrate multi-disciplinary design analysis tools Powerful set of large Tradespace Analysis Tools Improves efficiency and reduce time to engineer concepts/designs to meet emerging requirements Optimized Boom Changes in Mission Evolving Threats Powerful ability to dynamically generate and visualize Tradespace with wide toolset including histograms, scatterplots, boxplots, sensitivity analysis, etc. Communicates clearly the system relationships and behaviors through graphically rich artifacts. Ideal for exploring Tradespace in Design of Experiments (DoE) ERS Trade Builder Tools (Define, Execute, Analyze) enforces SE process by ensuring traceability. This enables the ability to compare alternatives/configurations and how well it meets system requirements. Tap into High Performance Computing assets at the DoD HPC Centers. Changes in technology “Systems engineering (SE) establishes the technical framework for delivering materiel capabilities to the warfighter…. SE also enables the development of engineered resilient systems that are trusted, assured, and easily modified (agile).” DAG Chapter 4 UNCLASSIFIED: DISTRIBUTION STATEMENT A: Approved for public release; distribution is unlimited. DISTRIBUTION D l UNCLASSIFIED // FOR OFFICIAL USE ONLY

What’s Next Continue to partner with ERS Community & ERDC to continue research, development, and project pilots of ERS Tradespace Tools at ARDEC Implement Decision Management Process1, algorithms, and visualization into ERS Multi-Objective Decision Analysis (MODA) tool set Project Pilots/Use Cases to demonstrate utility and gain lessons learned to prepare for “culture shock” (introducing new methods, tools, and integration) Integrated Model Based Engineering (MBSE & MBE) Preparing to break down stove pipes Anticipate the learning curve and training Tradespace Tools to ARDEC SE Workforce, “another tool in the SE Tool Kit” Explore the state of the art and untapped potential of ERS Ability to generate a large Tradespace and powerful Execution and Visualization Ability to integrate multi-disciplinary analysis and visually assess across multi-domains on the same playing field Collaborative Web Based Tools 1Cilli, M., Improving Defense Acquisition Outcomes Using an Integrated Systems Engineering Decision Management (ISEDM) Approach. Ph.D. Dissertation. Stevens Institute of Technology, Hoboken, NJ, 2015 UNCLASSIFIED: DISTRIBUTION STATEMENT A: Approved for public release; distribution is unlimited.

Lessons Learned and Parting Thoughts ERS offers integration between traditional SE and ORSA Domains Ability to effectively re-use MBSE Artifacts for Systems Analysis, Tradespace Analysis, & Decision Analysis. Powerful set of tools to conduct dynamic analysis Re-useable set of models for alternatives/variant analysis Ability to conduct large Tradespace exploration Ability to develop probabilistic solutions versus point solutions Encourages the use and need for additional and rigorous SE Trade Analysis Supports informed decision making (give them the tool and they will come) Supports the Systems Model Concept Full Traceability between requirements, architectures, and models Enables IPT working in collaborative web integrated development environment UNCLASSIFIED: DISTRIBUTION STATEMENT A: Approved for public release; distribution is unlimited. DISTRIBUTION A l UNCLASSIFIED