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The Rapid Soils Analysis Kit—Enabling Contingency Construction Anywhere

机译:快速土壤分析套件-随处可进行应急施工

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As horizontal construction extends into regions of the world with fewer technical resources, simple and compact technologies for remote soil assessment become necessary to reduce risk while increasing durability. To provide the capability to rapidly evaluate and improve soil materials for horizontal construction, a wash-based soil classification and engineering system, named the rapid soils analysis kit (RSAK), was developed. Physically, the wash based RSAK (W-RSAK) consists of a suite of scaled down laboratory soil test equipment packaged in a man portable case including software for predictive analysis. Processing 500 grams of soil material through the W-RSAK guided by an intuitive software user interface can be completed in 60 minutes by a single user. The resulting software output from the W-RSAK consists of a Unified Soil Classification, Atterberg limits, and prediction of the optimum moisture content and maximum dry density. It also includes the complete moisture-density curves at both standard and modified proctor compaction energy and the resultant soaked and unsoaked California Bearing Ratio curves to predict bearing capacity. The W-RSAK procedure was validated through a set of experiments on 14 varying soil types comparing classification and compaction to traditional laboratory and an earlier generation dry-based RSAK procedure. It was demonstrated that the W-RSAK procedure significantly improves classification estimations and is a potential solution to fill engineering gaps in soil design for contingency construction.
机译:随着水平施工扩展到世界上技术资源较少的区域,用于远程土壤评估的简单而紧凑的技术就变得必要,以减少风险,同时增加耐用性。为了提供快速评估和改进用于水平施工的土壤材料的能力,开发了一种基于冲洗的土壤分类和工程系统,称为快速土壤分析套件(RSAK)。从物理上讲,基于冲洗的RSAK(W-RSAK)由一套按比例缩小的实验室土壤测试设备组成,这些设备包装在便携式便携箱中,包括用于预测分析的软件。一个直观的软件用户界面即可通过W-RSAK处理500克土壤物料,一个用户即可在60分钟内完成。 W-RSAK产生的软件输出包括统一的土壤分类,Atterberg限值以及最佳水分含量和最大干密度的预测。它还包括在标准和修正的proctor压实能量下的完整水分密度曲线,以及由此得到的浸泡和未浸泡的加利福尼亚轴承比曲线,以预测承载能力。通过对14种不同土壤类型进行的一组实验对W-RSAK程序进行了验证,将其分类和压实与传统实验室以及较早的基于干旱的RSAK程序进行了比较。事实证明,W-RSAK程序可显着改善分类估计,并且是填补应急设计土壤设计中工程空白的潜在解决方案。

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