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Updated: Sep 17, 2025

Visualization of Failure and the Associated Grain-Scale Mechanical Behavior of Granular Soils under Shear using Synchrotron X-Ray Micro-Tomography
09:00

Visualization of Failure and the Associated Grain-Scale Mechanical Behavior of Granular Soils under Shear using Synchrotron X-Ray Micro-Tomography

Published on: September 29, 2019

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开发数据驱动的框架,通过机器学习分类模型来建模颗粒地形的地震诱导液化潜力.

Kennedy C Onyelowe1,2, Viroon Kamchoom3, Tammineni Gnananandarao4

  • 1Department of Civil Engineering, Michael Okpara University of Agriculture, Umudike, 440109, Nigeria. kennedychibuzor@kiu.ac.ug.

Scientific reports
|July 2, 2025
PubMed
概括

这项研究评估了软计算模型来分类地震引起的土壤液化. 与支持矢量机模型相比,随机森林分类器 (RFC) 模型表现出优异的预测性能.

关键词:
地震 地震 地震 地震 地震地质危险模型的模型.颗粒状土壤土壤颗粒状土壤液化液化是一种液化过程.机器学习是机器学习.

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