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The Rapid Soils Analysis Kit—Enabling Contingency Construction Anywhere

机译:快速土壤分析套件支持应急建设

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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:随着水平结构的延伸到世界的地区,具有较少的技术资源,遥远的土壤评估的简单和紧凑的技术成为降低风险的必要条件,同时提高耐用性。为了提供快速评估和改善水平结构土壤材料的能力,开发了一种基于洗涤的土壤分类和工程系统,命名为快速的土壤分析套件(RSAK)。物理上,基于洗涤的rsak(W-rsak)包括一套鳞片上下的实验室土壤测试设备,包装在一个人的便携式外壳中,包括用于预测分析的软件。通过由直观的软件用户界面引导的W-RSAK处理500克土壤材料可以通过单个用户在60分钟内完成。由W-RSAK的所得到的软件输出包括统一的土壤分类,Atterberg限制和预测最佳水分含量和最大干密度。它还包括标准和改性的标准器压实能量的完全湿度密度曲线,以及所得的浸泡和未被解除的加州轴承比曲线以预测承载力。通过一组关于14种不同土壤类型的实验验证了W-RSAK程序,将分类和压实与传统实验室的分类和压实以及早期的生成干基RSAK程序进行了验证。据证明,W-RSAK程序显着提高了分类估计,是填补工程间隙的潜在解决方案,以实现应急建设的土壤设计。

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