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Research on the identification of modulus parameters for rigid pavement panel foundations

Hui-min Cao1,2, Han-jun Zhao2,3, Xin-e Yan1,4

1 Xi’an Traffic Engineering Institute, China
2 Northwestern Polytechnical University, China
3 Shanxi Transportation Research Institute Group CO.Ltd,China
4 Corresponding author

* Corresponding Authors: Hui-min Cao (email), Xin-e Yan (email)

Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería 2024, 40(2), 1-6. https://doi.org/10.23967/j.rimni.2024.04.002

Abstract

Based on the Pasternak two-parameter foundation model, this study establishes a dynamic model for analyzing the deflection of slabs under moving loads. The variational method and reciprocal equal work theorem are employed to obtain the deflection solution, while the Matlab program is utilized with practical examples to calculate the foundation response modulus considering transfer shear force, bending moment, and their combined effects. By fitting measured dynamic deflections with theoretical predictions using the least square method, the response modulus K of the foundation is determined, demonstrating that our proposed model effectively captures the realistic behavior of rigid pavements.

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APA Style
Cao, H., Zhao, H., Yan, X. (2024). Research on the identification of modulus parameters for rigid pavement panel foundations. Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería, 40(2), 1-6. https://doi.org/10.23967/j.rimni.2024.04.002
Vancouver Style
Cao H, Zhao H, Yan X. Research on the identification of modulus parameters for rigid pavement panel foundations. Rev int métodos numér cálc diseño ing. 2024;40(2):1-6 https://doi.org/10.23967/j.rimni.2024.04.002
IEEE Style
H. Cao, H. Zhao, and X. Yan, “Research on the identification of modulus parameters for rigid pavement panel foundations,” Rev. int. métodos numér. cálc. diseño ing., vol. 40, no. 2, pp. 1-6, 2024. https://doi.org/10.23967/j.rimni.2024.04.002



cc Copyright © 2024 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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