Best Practices for Computational Tradespace Exploration, Analysis and Decision‐Making

Principal Investigators

• Cameron Turner (PI), Clemson University
• Georges Fadel, Margaret Wiecek, Yongjia Song, Rahul Rai, John Wagner (Co‐ PIs) Clemson University

Students

• Malena Agyemang, Travis Roberts, Julia Daniels, Philip Joel de Castro, Clemson University

Government

• Denise Rizzo, U.S. Army GVSC

Industry

• Vincent Holley, Geeglee
• Bruce Thompson, Sandia National Laboratory

Project duration: June 2020 - Q4 2022.

The ability to determine the appropriate balance between new vehicle capabilities or improved performance and project risk, budget, and schedule is a critical capability for ensuring project success. Integrating computational tradespace analysis tools can assist experts in making decisions informed by metrics for uncertainty, fidelity and technical project risk, resulting in better project decisions and requirements specifications. This project will therefore identify and improve the tradespace exploration, analysis and optimization capabilities of the GVSC to develop gap‐spanning solutions to existing gaps that enable human‐driven and computer‐aided tradespace exploration, analysis and decision‐making efforts for future autonomy‐enabled ground vehicles.

The objective of this project is to develop methods, process and supporting tools to enable rapid, effective exploration and analysis of the tradespace to guide the development of requirements for a vehicle concept. Concept decision making will be informed through a robust understanding of the fidelity, sensitivity, uncertainty and projected performance capabilities through design automation and optimization tools.

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