Investigation of mechanical factor of soil reinforced with four types of fibers: An integrated experimental and extreme learning machine approach

ABSTRACT

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.

摘要

本研究探讨并比较四种不同纤维（三种天然纤维和一种合成纤维）加固土壤的力学因子（一个无量纲参数，定义为纤维加固土壤的抗压强度与未加固土壤的抗压强度之比）。采用综合方法，包括351次获得数据的实验室实验和极限学习机（ELM）技术建立力学因子与土壤和纤维参数之间的函数关系。当土壤参数发生相同变化时，用合成纤维（聚丙烯）和天然纤维加固的土壤表现出不同的特性。这种现象可以归因于聚丙烯的表面形态和吸水能力与其他天然纤维相比的差异。聚丙烯土复合材料对土壤水分的敏感性最大。在所有纤维土壤复合材料中，对土壤密度和纤维含量的敏感性最低。

KEYWORDS:

• Extreme learning machine
• reinforced soil
• mechanical factor
• natural fibers
• synthetic fibers

关键词:

• 极限学习机
• 加筋土
• 机械因素
• 天然纤维
• 合成纤维