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A Virtual Simulation Experiment of Mechanics: Material Deformation and Failure Based on Scanning Electron Microscopy

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A content analysis-based approach to explore simulation verification and identify its current challenges.

Christopher J Lynch¹, Saikou Y Diallo¹, Hamdi Kavak²

¹Virginia Modeling, Analysis and Simulation Center, Old Dominion University, Suffolk, VA, United States of America.

|May 14, 2020

Summary

This summary is machine-generated.

This study analyzes simulation verification in 4,047 publications from 1963-2015. It reveals evolving concepts and identifies key challenges for future research in modeling and simulation (M&S).

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Area of Science:

Computer Science
Engineering
Simulation and Modeling

Background:

Simulation verification is essential for identifying and rectifying errors.
The concept of simulation verification has evolved significantly over time.
Understanding this evolution is crucial for advancing M&S practices.

Purpose of the Study:

To analyze semantic changes in simulation verification over six decades (1963-2015).
To identify distinct characteristics and challenges of verification in each publication decade.
To provide insights for researchers, students, and practitioners in modeling and simulation.

Main Methods:

Automated content analysis of a large corpus (4,047 publications).
Publications were collected from 1963 to 2015, focusing on modeling and simulation (M&S).
Analysis included concept positioning, comparison of verification, validation, and V&V, and decade-specific characteristics.

Main Results:

Distinct semantic characterizations of simulation verification were identified for each decade.
The prominence of verification, validation, and Verification and Validation (V&V) varied across decades.
Analysis revealed evolving defining characteristics of verification over the study period.

Conclusions:

Three categories of verification challenges were identified: confidence/ease of use, handling complexity, and error feedback.
These challenges highlight areas for future research and improved understanding in M&S.
The study provides a historical perspective on simulation verification to inform current and future practices.