Influence of soil parameters on dynamic compaction: numerical analysis and predictive modeling using GA-optimized BP neural networks

Influence of soil parameters on dynamic compaction: numerical analysis and predictive modeling using GA-optimized BP neural networks

This study analyses the effect of soil parameters (angle of internal friction, cohesion, modulus of elasticity, Poisson’s ratio, density) on the amount of ramming settlement of rammed reinforced foundations and proposes a prediction model for the depth of ramming reinforcement based on GA-BP neural...

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Bibliographic Details
Main Authors: Yu Zhang, Xueshui Chen, Huakang Ge, Zhigang Guo, Xu Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Materials
Subjects:
dynamic compaction method
compaction capacity
orthogonal test
finite element calculation
GA-BP neural network
Online Access:https://www.frontiersin.org/articles/10.3389/fmats.2025.1631816/full
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