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首页> 外文期刊>Review of Agricultural Entomology >Investigation of mechanical factor of soil reinforced with four types of fibers: An integrated experimental and extreme learning machine approach
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Investigation of mechanical factor of soil reinforced with four types of fibers: An integrated experimental and extreme learning machine approach

机译：四种纤维加固土壤机械因子的研究：综合实验和极限学习机方法

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摘要

This study investigates and compares mechanical factor (a dimensionless parameter and defined as the ratio of the compressive strength of fiber reinforced soil to that of unreinforced soil) for soils reinforced with four different fibers (three natural fibers and one synthetic fiber). An integrated methodology was utilized, including 351 laboratory experiments for obtaining data and Extreme Learning Machine (ELM) technique for developing functional relationships between mechanical factor and soil and fiber parameters. Soils reinforced with synthetic fiber (Polypropylene) and with natural fibers exhibited different characteristics when subjected to the same variation in soil parameters. This phenomenon can be attributed to the differences in surface morphology and water absorption capability of Polypropylene comparative to other natural fibers. Polypropylene-soil composite shows the maximum sensitivity to the soil moisture. It also shows the least sensitivity toward soil density and fiber content among all tested fiber-soil composites.
机译：本研究调查并比较机械因子（无量纲参数，并定义为用四种不同纤维增强的土壤纤维增强土壤对未粘接土壤的抗压强度与未成因土壤的比率）。含有四种不同纤维（三种天然纤维和一种合成纤维）。利用了综合方法，包括351实验室实验，用于获取数据和极端学习机（ELM）技术，用于在机械因子和土壤和纤维参数之间开发功能关系。用合成纤维（聚丙烯）和天然纤维增强的土壤在经受相同的土壤参数变异时表现出不同的特性。这种现象可归因于聚丙烯与其他天然纤维的聚丙烯表面形态和吸水能力的差异。聚丙烯 - 土壤复合材料显示出对土壤水分的最大敏感性。它还显示了对所有测试的纤维 - 土壤复合材料中的土壤密度和纤维含量的最小敏感性。

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