The article discusses using copulas for multivariate modeling in engineering. Copulas help separate how variables are related from their individual behaviors. They are useful for analyzing non-normal data and have been applied in fields like insurance and finance. The study explains how copulas work and introduces two main types: elliptical and Archimedean copulas. The researchers show that copulas can be used to simulate random data and estimate relationships between variables.