What question did this study set out to answer?

This research aims to develop a new method for analyzing low-probability cases in simulations of design parameters.

March 26, 2026Open Access

Proposal of a Method for Analyzing the Effects of Variations in Design Parameters Using 1D-CAE and Voronoi Diagrams

Key Points

This research aims to develop a new method for analyzing low-probability cases in simulations of design parameters.
Applied Voronoi diagrams to calculate probability density
Used Monte Carlo simulations for variability analysis
Implemented the method on a 1D-CAE brake model
Successfully computed low-probability cases with fewer samples
Demonstrated increased efficiency in analyzing design parameters

Abstract

This study addresses the challenge of analyzing low-probability regions in Monte Carlo simulations for variability Analysis. We propose a novel method using Voronoi Diagram to calculate probability density from the volume each parameter set occupies in the probability space. The proposed method is applied to a 1D-CAE brake model, demonstrating its ability to compute low-probability cases with a reduced number of samples.

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