Session: CIE-22-01 - AMS-CAPPD: Digital Twin: Advanced Human Modeling and Simulation in Engineering

Paper Number: 89531

89531 - Resilience Modeling in Complex Engineered Systems With Human-Machine Interactions 

In recent times, there has been a growing interest in resilience-based design. Resilience-based design operates on the concept that failures and unexpected events will happen, and when they occur, complex engineered systems should be able to operate within acceptable bounds and recover reasonably. Humans can contribute to the resilience of a system by quickly detecting unforeseen events and taking corrective measures. To this effect, researchers have proposed guidelines and design approaches that can help promote human-system resilience. However, there is no early design stage tool to validate if a system is indeed resilient after applying these guidelines and design methods. In this research, we integrate the Human Error and Functional Failure Reasoning (HEFFR) framework into the fmdtools toolkit to enable designers to model the combined (machine, human, and joint) failures, including their propagation and dynamic effects, during early design stages. This integrated tool also allows designers to model the effects of performance shaping factors, team dynamics, and human-machine interactions in systems of systems. A demonstrative example where a rover is operated remotely by an operator to follow a predefined path is explored to demonstrate how this approach can be applied to understand resilience in complex engineered systems with human interactions.

Presenting Author: Lukman Irshad KBR Inc (NASA Ames Research Center)

Presenting Author Biography: I am a Research Engineer in the Robust Software Engineering (RSE) Group of the Intelligent Systems Division at the NASA Ames Research Center. Broadly, my research interests are in human-machine interactions, fault modeling and simulation, human-autonomy interactions, and risk and resilience-based design. My current research is focused on developing design tools to improve system safety and resilience in complex engineered systems. Specifically, I am studying ways to simulate human-machine interaction-related failures during early design stages in systems and systems of systems.

Authors:

Lukman Irshad KBR Inc (NASA Ames Research Center)
Daniel Hulse NASA Ames Research Center