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Moisture-Strength-Constructability Guidelines for Subgrade Foundation Soils Found in Indiana

机译:印第安纳州发现的路基基础土壤的水分-强度-可施工性指南

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摘要

Soil moisture is an important indicator of constructability in the field. Construction activities become difficult when the soil moisture content is excessive, especially in fine-grained soils. Change orders caused by excessive soil moisture during construction projects drive up construction costs for INDOT and cause unexpected delays. To alleviate these problems and minimize change order costs associated with having unexpectedly high soil moisture conditions at the time of construction, a methodology was developed to allow INDOT engineers to estimate in situ soil moisture conditions early in the design phases of projects. The soil moisture prediction methodology is based on results from soil moisture flow simulations carried out using the HYDRUS-1D software. The soil moisture flow simulations in HYDRUS-1D required i) weather data, ii) groundwater table data and iii) in situ soil hydraulic (saturated and unsaturated) and index property data. These data were collected for all the counties in Indiana from five different sources: i) Indiana Department of Transportation (INDOT), ii) Indiana Geological Survey (IGS), iii) United States Department of Agriculture’s (USDA’s) Soil Survey Geographic (SSURGO), iv) the Department of Natural Resources (DNR) and v) Indiana State Climate Office (Iclimate). The results obtained from initial soil moisture flow simulations were first validated using field measurements from six IGS test sites located in Indiana where soil property data and continuous in situ soil moisture measurements at multiple depths were available for up to 3 years (2011-2014). Good agreement was observed between moisture content measurements and predictions. After validation of the developed moisture prediction methodology, ten-year moisture content simulations using HYDRUS 1D were performed for typical profiles in each county in Indiana using as input weather data from the iclimate database, groundwater data from DNR database and soil properties from IGS, INDOT and the SSURGO databases. Yearly results from these ten-year soil moisture flow simulations were then overlapped to ascertain how the profiles of the in situ soil moisture content within the depth of interest varied monthly within this period of time in each county. Using the results of these simulations for typical soil profile(s) for each county, a constructability criteria was developed that is based on determining how the in situ soil moisture content deviates from the optimum soil moisture content obtained from standard Proctor compaction tests (these are often performed by INDOT in routine projects). Recommendations are made for in situ soil moisture constructability assessment that can be implemented by INDOT in pilot projects and further refined as needed.
机译:土壤水分是田间可施工性的重要指标。当土壤含水量过多时,尤其是在细颗粒土壤中,施工活动变得困难。在建设项目期间,由于土壤水分过多而导致的变更单增加了INDOT的建设成本,并导致意外的延误。为了减轻这些问题并最大程度地减少与施工时土壤湿度过高有关的变更单成本,开发了一种方法,以使INDOT工程师能够在项目设计阶段的早期就地估算土壤湿度。土壤水分预测方法是基于使用HYDRUS-1D软件进行的土壤水分流模拟的结果。 HYDRUS-1D中的土壤水分流模拟需要i)天气数据,ii)地下水位数据和iii)原位土壤水力(饱和和非饱和)和指数特性数据。这些数据是从五个不同的来源为印第安纳州的所有县收集的:i)印第安纳州交通运输部(INDOT),ii)印第安纳州地质调查局(IGS),iii)美国农业部(USDA)土壤调查地理部(SSURGO) iv)自然资源部(DNR)和v)印第安纳州气候办公室(Iclimate)。从初始土壤水分流模拟获得的结果首先使用位于印第安纳州的六个IGS测试点的现场测量结果进行了验证,这些位置可提供长达3年(2011-2014年)的土壤性质数据和连续深度的连续原位土壤水分测量结果。在水分含量测量和预测之间观察到良好的一致性。在验证了开发的水分预测方法后,使用HYDRUS 1D对印第安纳州每个县的典型剖面进行了十年的水分含量模拟,使用了来自气候数据库的输入天气数据,来自DNR数据库的地下水数据以及来自IGS,INDOT的土壤特性和SSURGO数据库。然后将这十年的土壤水分流模拟的年度结果进行叠加,以确定每个县在此期间内感兴趣深度内原位土壤水分含量的概况每月如何变化。使用每个县的典型土壤剖面的模拟结果,开发了可施工性标准,该标准基于确定原位土壤含水量如何偏离标准Proctor压实试验获得的最佳土壤含水量的方法(这些方法是通常由INDOT在常规项目中执行)。提出了就地土壤湿度可施工性评估的建议,INDOT可以在试点项目中实施这些建议,并根据需要进一步完善。

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