OCOH...SCM 017. Rotorcraft Capability Assessment and Tradeoff Environment. Research Objective....

1
APPROVED FOR PUBLIC RELEASE; DISTRIBUTION IS UNLIMITED Title S&T Campaign: Sciences for Maneuver Platform Mechanics Eric Spero, (410) 278-8743, [email protected] Rajneesh Singh, Ph.D., (410) 278-4022, [email protected] SCM 017 Rotorcraft Capability Assessment and Tradeoff Environment Research Objective Develop a capability assessment and trade-off process to: Assess system-level impact of rotorcraft concepts with changes to mission requirements, design parameters, and technology insertion Recommend portfolios based on multiple objectives Understand the relationship between technology attributes and system capability gaps Challenges Maintaining a flexible and extensible process that can accommodate changing concepts and technologies Modeling fleet operations and support with reliability, maintainability, and supportability related technologies Tracking and controlling uncertainty propagation through the design process ARL Facilities and Capabilities Available to Support Collaborative Research Access to: High Performance Computing facilities, multifidelity rotorcraft conceptual design tools, and rotorcraft technology subject matter experts (SMEs) Status Interactive visual trade-off environment created Small set of technologies translated into model inputs using calibration factors from literature and SMEs Approach and tool verified; validation path forward Technology portfolios recommended to user based on min/max objectives Complementary Expertise, Facilities, and Capabilities Sought in Collaboration Development of interactive, web-based applications Application of statistical techniques to quantify technology impacts based on empirical data Multiple stakeholder interactions and value negotiation Incorporation of higher fidelity modeling and simulation into rotorcraft conceptual design and capability trades Reliability analysis of rotorcraft propulsion and mission systems linked to conceptual design process and tools Advanced technology modeling & representation techniques Interactive Technology Selection and Technology Portfolio Frontiers Related Publications and Presentations Bhattacharya et al. Modeling, Analysis, and Optimization of Rotorcraft and Fleet Availability. AHS 73rd Annual Forum; 9-11 May 2017; Fort Worth, TX. Best Paper Award, Systems Engineering Tools & Processes. Price et al. Integrated Discrete-Event Simulation Environment for Analysis of Rotorcraft Reliability, Availability, and Maintainability, AHS 73rd Annual Forum; 9-11 May 2017; Fort Worth, TX. Armstrong et al. Reconfigurable Discrete Event Simulation of Rotorcraft Maintenance and Operations, AHS 72nd Annual Forum; 17-19 May 2016; West Palm Beach, FL. Arruda et al. The Capability Assessment and Tradeoff Environment (CATE) for Advanced Aerospace Vehicle and Technology Assessment. Procedia Computer Science. 2014;28 (CSER 2014). Spero et al. A Research Agenda for Tradespace Exploration and Analysis of Engineered Resilient Systems. Procedia Computer Science. 2014;28 (CSER 2014). Discrete Event Simulation Rotorcraft Maintenance and Operations Model Vision for Integrated Decision Support

Transcript of OCOH...SCM 017. Rotorcraft Capability Assessment and Tradeoff Environment. Research Objective....

Page 1: OCOH...SCM 017. Rotorcraft Capability Assessment and Tradeoff Environment. Research Objective. Develop a capability assessment and trade-off process to: ...

APPROVED FOR PUBLIC RELEASE; DISTRIBUTION IS UNLIMITED

Title

S&T Campaign: Sciences for ManeuverPlatform Mechanics

Eric Spero, (410) 278-8743, [email protected]

Rajneesh Singh, Ph.D., (410) 278-4022, [email protected]

SCM 017

Rotorcraft Capability Assessment and Tradeoff Environment

Research ObjectiveDevelop a capability assessment and trade-off process to:

• Assess system-level impact of rotorcraft concepts with changes to mission requirements, design parameters, and technology insertion

• Recommend portfolios based on multiple objectives• Understand the relationship between technology

attributes and system capability gaps

Challenges• Maintaining a flexible and extensible process that can

accommodate changing concepts and technologies• Modeling fleet operations and support with reliability,

maintainability, and supportability related technologies• Tracking and controlling uncertainty propagation through

the design process

ARL Facilities and Capabilities Available to Support Collaborative ResearchAccess to: High Performance Computing facilities, multifidelity rotorcraft conceptual design tools, and rotorcraft technology subject matter experts (SMEs)

Status• Interactive visual trade-off environment created• Small set of technologies translated into model inputs

using calibration factors from literature and SMEs• Approach and tool verified; validation path forward• Technology portfolios recommended to user based on

min/max objectives

Complementary Expertise, Facilities, and Capabilities Sought in Collaboration• Development of interactive, web-based applications• Application of statistical techniques to quantify technology

impacts based on empirical data• Multiple stakeholder interactions and value negotiation• Incorporation of higher fidelity modeling and simulation into

rotorcraft conceptual design and capability trades• Reliability analysis of rotorcraft propulsion and mission

systems linked to conceptual design process and tools• Advanced technology modeling & representation techniques

Interactive Technology Selection and Technology Portfolio Frontiers

Related Publications and Presentations• Bhattacharya et al. Modeling, Analysis, and Optimization of Rotorcraft

and Fleet Availability. AHS 73rd Annual Forum; 9-11 May 2017; Fort Worth, TX. Best Paper Award, Systems Engineering Tools & Processes.

• Price et al. Integrated Discrete-Event Simulation Environment for Analysis of Rotorcraft Reliability, Availability, and Maintainability, AHS 73rd Annual Forum; 9-11 May 2017; Fort Worth, TX.

• Armstrong et al. Reconfigurable Discrete Event Simulation of Rotorcraft Maintenance and Operations, AHS 72nd Annual Forum; 17-19 May 2016; West Palm Beach, FL.

• Arruda et al. The Capability Assessment and Tradeoff Environment (CATE) for Advanced Aerospace Vehicle and Technology Assessment. Procedia Computer Science. 2014;28 (CSER 2014).

• Spero et al. A Research Agenda for Tradespace Exploration and Analysis of Engineered Resilient Systems. Procedia Computer Science. 2014;28 (CSER 2014).

Discrete Event Simulation Rotorcraft Maintenance and Operations Model

Vision for Integrated Decision Support