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FIT Method for Calculating Soil Particle Size Distribution from Particle Density and Settling Time Data

机译:从颗粒密度和沉降时间数据计算土壤粒径分布的FIT方法

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Particle size distribution (PSD) is one of the most important fundamental physical properties of soils, as it determines their physical, chemical, mechanical, geo-technical, moreover environmental behaviour. Although the measurement of PSD with different techniques is commonly performed in soil laboratories, their automation and continuous PSD curve generation have not been solved yet. However, there are some physical principles, various sensors and different data storing methods for measuring the density-time function. In the present paper a possible solution is introduced for the measurement of the soil particle density database as a function of settling time. The equipment used for this purpose is an areometer that is widely used e.g. for determining the sugar content of must, or the alcohol content of distilled spirits, etc. The device is equipped with patent pending capacitive sensors on the neck of the areometer. It measures the changes in the water levels nearby the neck of the areometer in1 um units with <10 um accuracy. The typical water level changes are 3-5 cm, which makes possible a very accurate determination of particle density changes due to settling in particle size analysis. The measured signals are stored in the equipment's memory and can be downloaded to the controller computer via a modified USB port. Data evaluation can be carried out online or later. The large number of measured data points led to the introduction of a new evaluation method, the Method of Finite Tangents orshortly the "FIT Method". The dispersed soil particle system is considered as the aggregation of many monodisperse systems. From this it follows that the measured density-time function can be divided into grain size fractions with tangent lines drawn tofinite, but optional points. These tangent lines are suitable for calculating the settling speed of a given fraction, as the changing speed of density is equal to the multiplication of settling speed and mass of the given grain size fraction. The settling speed of all fractions is calculable by using the Stokes law, so the mass of all of the floating fraction can be calculated. Because the soil suspension is a poly-disperse system, the measured density decrease can be considered as an integration of finite mono-disperse systems. From this, it follows that it can be interpreted as the sum of linear density vs. time functions. If the mass of each grain size fraction is known, the particle size distribution is calculable. The method is relatively easilyprogrammed and the intervals of grain size fractions are freely adjustable, so with this program almost all types of particle size distribution are calculable, not only those being uniform. Using the appropriate controller and evaluation program, soil particle size distribution can be calculated immediately after downloading the measured data. This technique does not need more sample preparation than past methods. The automated reading lessens the manpower required for performing the measurement - whichalso reduces human error sources - and provides very detailed PSD data that has advantages, among others, like revealing multi-modality in the particle-size distribution.
机译:粒度分布(PSD)是土壤最重要的基本物理特性之一,因为它决定了土壤的物理,化学,机械,岩土技术以及环境行为。尽管在土壤实验室中通常使用不同的技术来测量PSD,但尚未解决它们的自动化和连续PSD曲线生成的问题。但是,有一些物理原理,各种传感器和不同的数据存储方法来测量密度-时间函数。在本文中,介绍了一种可能的解决方案,用于测量土壤颗粒密度数据库与沉降时间的关系。用于此目的的设备是一种被广泛使用的例如气压计。用于确定果汁中的糖含量或蒸馏酒的酒精含量等。该设备在风量表的颈部配备了正在申请专利的电容式传感器。它以小于10 um的精度以1 um为单位测量等高线颈部附近的水位变化。典型的水位变化为3-5 cm,这使得可以非常准确地确定由于沉降在粒度分析中而引起的颗粒密度变化。测得的信号存储在设备的存储器中,并可通过修改后的USB端口下载到控制器计算机。数据评估可以在线或稍后进行。大量的测量数据点导致引入了一种新的评估方法,即有限切线法或简称为“ FIT方法”。分散的土壤颗粒系统被认为是许多单分散系统的聚集体。由此可以得出,可以将测得的密度-时间函数划分为晶粒尺寸分数,并用切线绘制到有限但可选的点。这些切线适合于计算给定级分的沉降速度,因为密度的变化速度等于给定粒度级分的沉降速度与质量的乘积。通过使用斯托克斯定律可以计算所有馏分的沉降速度,因此可以计算所有浮动馏分的质量。由于土壤悬浮液是一种多分散系统,因此测得的密度下降可被视为有限单分散系统的集成。由此可以得出,它可以解释为线性密度与时间函数之和。如果知道每个粒度级分的质量,则可以计算粒度分布。该方法相对容易编程,并且粒度级分的间隔可自由调节,因此使用该程序,几乎所有类型的粒度分布都是可计算的,而不仅仅是均匀的。使用适当的控制器和评估程序,下载测量数据后即可立即计算土壤粒径分布。与过去的方法相比,该技术不需要更多的样品制备。自动读数减少了执行测量所需的人力,这也减少了人为错误的来源,并提供了非常详细的PSD数据,该数据具有很多优点,例如揭示粒度分布的多模态。

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