Keywords: elastic properties, composite, elastic properties determination algorithm, database, layer stacking
Development of software for evaluating the elastic properties of multilayer composite materials
UDC 004.9
DOI: 10.26102/2310-6018/2025.51.4.021
This paper presents the development of software for the automated computation of the elastic properties of multilayer composite materials (MCM) intended for use in structures subjected to high-velocity impact loading. The generated array of calculated data can be used for training and testing artificial neural networks used in predicting the ballistic characteristics of MCM subjected to high-speed impact loads. An algorithm has been developed to determine the elastic characteristics of a composite laminate, encompassing the transition from fiber and matrix volume fractions to the properties of a unidirectional composite and subsequently to the full multilayered structure. The implementation includes strength assessment based on the Mises–Hill failure criterion, as well as support for batch data processing via Excel spreadsheets. The software provides analysis of stacking sequences comprising layers of various materials, thicknesses, fiber orientation angles, and through-thickness arrangements. The results will serve as a foundation for the development of an integrated approach to the design of composite structures. The developed software can be used as a standalone tool for engineering analysis or as part of integrated numerical modeling systems. The obtained results significantly reduce the time required to prepare input data for numerical simulations and ensure greater accuracy of initial parameters.
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Keywords: elastic properties, composite, elastic properties determination algorithm, database, layer stacking
For citation: Bokhoeva L.A., Titov V.A., Shatov M.S., Targashin K.V., Mei S. Development of software for evaluating the elastic properties of multilayer composite materials. Modeling, Optimization and Information Technology. 2025;13(4). URL: https://moitvivt.ru/ru/journal/pdf?id=1908 DOI: 10.26102/2310-6018/2025.51.4.021 (In Russ).
Received 13.05.2025
Revised 08.10.2025
Accepted 17.10.2025