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A permanent deformation predictive model for fine tropical soils considering the effects of the compaction moisture content on material selection
Transportation Geotechnics ( IF 5.3 ) Pub Date : 2021-03-09 , DOI: 10.1016/j.trgeo.2021.100534
Caroline Dias Amancio de Lima , Laura Maria Goretti da Motta , Francisco Thiago Sacramento Aragão

The evaluation of the mechanical behavior of soils should be considered as an important step for material selection and pavement design. The analyses of the elastic and plastic behaviors of the pavement unbound materials have generally been based on resilient modulus (RM) and permanent deformation (PD) tests, respectively. Such mechanical characteristics are significantly affected by factors including gradation, traffic speed, loading history, and moisture content. However, special attention should be given to the moisture content, given that the use of inadequate water content during compaction can lead to premature failure of the pavement system. This paper investigates the effects of the compaction moisture content on the plastic behavior of fine soils by means of PD. Based on the analysis of two existing models that take this key factor into account, a predictive model tailored for fine tropical soils is proposed. Four soils of different classifications were tested with three distinct compaction moisture contents (below the optimum, at the optimum moisture, and above the optimum moisture contents) to analyze interaction effects for a PD predictive model. Two additional fine soils are used to validate the model. A statistical analysis considering the six fine soils indicates that the proposed PD model can efficiently predict the effects of the compaction moisture content on the long-term resistance to PD of the fine soils and that the suggested procedure can be potentially used as a tool for material selection.



中文翻译:

考虑压实水分含量对材料选择的影响的精细热带土壤永久变形预测模型

对土壤力学性能的评估应被视为材料选择和路面设计的重要步骤。路面未粘结材料的弹性和塑性行为分析通常分别基于弹性模量(RM)和永久变形(PD)测试。此类机械特性会受到包括等级,行进速度,装载历史和水分含量等因素的显着影响。但是,应特别注意水分含量,因为在压实过程中使用的水分含量不足会导致路面系统过早损坏。本文利用PD研究了压实水分含量对细土塑性行为的影响。在分析了两个考虑到此关键因素的现有模型的基础上,提出了一种针对热带热带土壤的预测模型。用三种不同的压实含水量(低于最佳,最佳含水量和高于最佳含水量)对四种不同类别的土壤进行了测试,以分析PD预测模型的相互作用效应。使用另外两个细土来验证模型。考虑六种细土的统计分析表明,所提出的PD模型可以有效地预测压实水分含量对细土的PD长期抵抗力的影响,并且所建议的程序可以潜在地用作材料的工具。选择。用三种不同的压实含水量(低于最佳,最佳含水量和高于最佳含水量)对四种不同类别的土壤进行了测试,以分析PD预测模型的相互作用效应。使用另外两个细土来验证模型。考虑六种细土的统计分析表明,所提出的PD模型可以有效地预测压实水分含量对细土的PD长期抵抗力的影响,并且所建议的程序可以潜在地用作材料的工具。选择。用三种不同的压实含水量(低于最佳,最佳含水量和高于最佳含水量)对四种不同类别的土壤进行了测试,以分析PD预测模型的相互作用效应。使用另外两个细土来验证模型。考虑六种细土的统计分析表明,所提出的PD模型可以有效地预测压实水分含量对细土的PD长期抵抗力的影响,并且所建议的程序可以潜在地用作材料的工具。选择。使用另外两个细土来验证模型。考虑六种细土的统计分析表明,所提出的PD模型可以有效地预测压实水分含量对细土的PD长期抵抗力的影响,并且所建议的程序可以潜在地用作材料的工具。选择。使用另外两个细土来验证模型。考虑六种细土的统计分析表明,所提出的PD模型可以有效地预测压实水分含量对细土的PD长期抵抗力的影响,并且所建议的程序可以潜在地用作材料的工具。选择。

更新日期:2021-04-11
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