Please use this identifier to cite or link to this item: https://elib.psu.by/handle/123456789/49766
Title: Analysis of the impact of plate element selection on the application of the finite element method in modeling large concrete slabs with holes
Authors: Nan, Mou
Zheltkovich, A.
Моу Нань
Желткович, А.Е.
Other Titles: Влияние типа пластинчатых элементов на точность МКЭ-моделирования крупноразмерных бетонных плит с отверстиями
Issue Date: 2026
Publisher: Полоцкий государственный университет имени Евфросинии Полоцкой
Citation: Nan, Mou Analysis of the impact of plate element selection on the application of the finite element method in modeling large concrete slabs with holes / Nan Mou, A. Zheltkovich // Архитектурно-строительный комплекс: проблемы, перспективы, инновации : электрон. сб. ст. VII междунар. науч. конф., Новополоцк, 30 окт. 2025 г. / Полоц. гос. ун-т им. Евфросинии Полоцкой; Редкол.: Д. Н. Лазовский (председ.) [и др.]. – Новополоцк : Полоц. гос. ун-т им. Евфросинии Полоцкой, 2026. – С. 101-104.
Abstract: This study addresses the challenge of stress prediction under forced deformation for large concrete slabs with holes (e.g., industrial factory floors, nuclear power plant equipment foundations) by analyzing the influence of plate element type selection on modeling accuracy and computational efficiency. Based on experimental data from a 4*4*0.25 m large slab with holes, the performance and characteristics of various plate elements (including triangular, quadrilateral, and polygonal types) in simulating the shrinkage stress field are compared, elucidating the influence of element type on stress concentration around holes, the behavior of zero shear stress points, and computational efficiency. The research results indicate that using higher-order quadrilateral elements (such as eight-node isoparametric elements), combined with a contact interface spring model to calculate stress around holes, can satisfy engineering calculation requirements, with stress calculation errors at hole edges within 8%; however, the computational speed is considerably slower than that of neural network models. Based on the above research findings, this paper proposes an element selection strategy for plates with complex geometries and introduces a hybrid computational framework combining finite element coarse calculations with neural network refinement.
URI: https://elib.psu.by/handle/123456789/49766
metadata.dc.rights: open access
Appears in Collections:Архитектурно-строительный комплекс: проблемы, перспективы, инновации. 2025

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