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9th Edition of

International Conference on Materials Science and Engineering

March 23-25, 2026 | Singapore

Materials 2026

A novel numerical homogenization method for determining the full anisotropic stiffness matrix of mesh-reinforced masonry

Speaker at International Conference on Materials Science and Engineering 2026 - Shakarneh Omar M D
Novosibirsk State University of Architecture and Civil Engineering, Russian Federation
Title : A novel numerical homogenization method for determining the full anisotropic stiffness matrix of mesh-reinforced masonry

Abstract:

This study presents a novel numerical homogenization methodology for determining the full matrix of effective stiffness coefficients of masonry walls reinforced with mesh materials. The proposed approach is based on a finite element analysis of a rigorously validated 7-course Representative Volume Element (RVE). Unlike classical micromechanical models and normative design codes (e.g., Eurocode 6, ACI 530), this method explicitly accounts for the specific effects of mesh reinforcement, including the resulting critical asymmetric coupling between normal and shear stresses (D?? ≠ D??).

The derived stiffness matrix of the equivalent anisotropic homogeneous material is validated through comprehensive numerical simulations, showing excellent agreement with the heterogeneous model—errors for all stress components do not exceed 5.3%, with correlation coefficients above 0.95. A comparative analysis demonstrates a 40-60% improvement in prediction accuracy over standard Voigt-Reuss approaches and a significant advantage over simplified isotropic approximations. The results quantify a key mechanical benefit of reinforcement: a 15-20% reduction in shear stress localization.

The developed methodology provides a reliable, physically justified, and efficient foundation for the advanced numerical analysis and design of complex reinforced masonry structures under combined loading conditions, filling a pronounced gap in methodologies for modern reinforced masonry.

Biography:

Omar Shakarneh is a PhD candidate in Civil Engineering at the Novosibirsk State University of Architecture and Civil Engineering (Sibstrin). He holds a Master's degree (2019-2020) and a Bachelor's degree (2017-2018) from South Ural State University, Chelyabinsk, Russia. His research focuses on computational mechanics and the development of advanced numerical homogenization techniques for predicting the effective properties of complex composite materials, with a specific application to reinforced masonry structures. His work aims to enhance the accuracy and efficiency of structural analysis and design.

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