Estimation of Composite Laminate Ply Angles Using an Inverse Bayesian Approach Based on Surrogate Models

Franz M, Pfingstl S, Zimmermann M, Wartzack S (2022)

Publication Type: Conference contribution

Publication year: 2022

Journal

Proceedings of the Design Society Cambridge University Press

Book Volume: 2

Pages Range: 1569-1578

DOI: 10.1017/pds.2022.159

Abstract

A digital twin (DT) relies on a detailed, virtual representation of a physical product. Since uncertainties and deviations can lead to significant changes in the functionality and quality of products, they should be considered in the DT. However, valuable product properties are often hidden and thus difficult to integrate into a DT. In this work, a Bayesian inverse approach based on surrogate models is applied to infer hidden composite laminate ply angles from strain measurements. The approach is able to find the true values even for ill-posed problems and shows good results up to 6 plies.

Authors with CRIS profile

Michael Franz Chair of Engineering Design Sandro Wartzack Chair of Engineering Design

Involved external institutions

Technische Universität München (TUM) DE Germany (DE)

How to cite

APA:

Franz, M., Pfingstl, S., Zimmermann, M., & Wartzack, S. (2022). Estimation of Composite Laminate Ply Angles Using an Inverse Bayesian Approach Based on Surrogate Models. (pp. 1569-1578).

MLA:

Franz, Michael, et al. "Estimation of Composite Laminate Ply Angles Using an Inverse Bayesian Approach Based on Surrogate Models." 2022. 1569-1578.

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