从土壤组件图像中使用粒子配置参数估计沙子的相对密度
1School of Civil and Environmental Engineering, Yonsei University, Yonseiro 50, Seodeamun-gu, Seoul, 120-749, Korea.
Scientific reports
|May 9, 2025
概括
本研究介绍了一种基于图像的方法,使用粒子配置来估计沙子的相对密度 (DR). 一个结合总周长 (ptot) 和颗粒数 (NoP) 的新模型准确地预测了各种沙子中的DR.
科学领域:
- 地质技术工程 地质技术工程
- 土壤力学 土壤力学
- 图像分析 图像分析
背景情况:
- 估计沙子的相对密度 (DR) 对地质技术应用至关重要.
- 传统的方法可能耗时,需要专门的设备.
- 图像分析提供了一个潜在的非破坏性和高效的替代方案.
研究的目的:
- 开发一种基于图像的新方法来估计沙子的相对密度 (DR).
- 为了研究粒子配置参数和DR之间的关系.
- 使用图像分析建立一个统一的相关性模型,用于DR估计.
主要方法:
- 获取的土壤图像显示了在不同DR的群组配置中的粒子.
- 从图像中分析的粒子直径 (d),周长 (p) 和总周长 (ptot).
- 引入并评估粒子数 (NoP) 作为体积特征的新指标.
主要成果:
- 发现随着DR的增加,d和p的减少,而ptot保持相似.
- 建立了ptot和NoP之间的线性相关性,表明它们与DR的关系.
- 开发并验证了一个统一的相关性模型,使用组合的ptot和NoP用于DR估计.
结论:
- 提出的基于图像的方法有效地估计了沙子的相对密度 (DR).
- ptot和NoP的组合参数为DR预测提供了一个坚实的基础.
- 该方法在不同类型的沙子中证明了有效性和有效性.
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