基于浸没射流冲蚀试验数据的粘性土冲刷模型分析方法

IF 1.4 4区 农林科学 Q3 AGRICULTURAL ENGINEERING Transactions of the ASABE Pub Date : 2021-01-01 DOI:10.13031/TRANS.14212
T. Wahl
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引用次数: 4

摘要

采用九种不同的方法对四种粘性土进行了52次射流侵蚀试验。非线性方法在一些单独的测试中表现良好,但总体上不一致。几种替代的线性解方法优于广泛使用的Blaisdell方法。侵蚀速率与施加剪应力的简单线性回归提供了侵蚀速率与临界剪应力参数之间最一致的关系。水下射流侵蚀试验(jet)被广泛应用于实验室和现场环境中,用于量化黏性土壤的可蚀性,确定侵蚀速率系数和临界剪应力值。近年来开发了不同规模和配置的测试设备,以及几种处理收集数据的替代方法,以确定线性和非线性土壤侵蚀方程的参数。为了便于标准化,在4种不同粘性土上进行了52次JET试验,分别在最佳含水量和最佳干湿率的2%压实条件下进行。每个测试使用九种不同的方法进行分析,四种基于线性超额应力方程(包括常用的Blaisdell方法),五种基于非线性侵蚀方程,其中两种使用最近流行的威尔逊模型。对结果进行分析,以确定最有效地代表观测到的侵蚀速率的侵蚀方程和参数拟合方法,并根据可蚀性对土壤进行建模和分类。基于非线性侵蚀方程的方法可以很好地拟合一些数据集,但它们在侵蚀速率系数与启动侵蚀的阈值剪应力参数之间的相关性较差,这在土壤可蚀性分类工作中存在问题。线性方法同时优化侵蚀方程参数,以最佳地拟合冲刷总深度或达到特定冲刷深度所需的时间,其性能优于自20世纪90年代末以来已被非正式接受的实践标准Blaisdell方法。但侵蚀速率与临界剪应力参数的相关性也较弱。平均冲刷速率与平均外加应力的简单线性回归是表征侵蚀速率与外加应力曲线的有效方法,且侵蚀速率系数与临界剪应力参数的相关性最强。关键词:粘性土,临界剪应力,可蚀性,侵蚀,侵蚀规律,侵蚀模型,射流侵蚀试验,剪应力,土壤水分
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Methods for Analyzing Submerged Jet Erosion Test Data to Model Scour of Cohesive Soils
HighlightsFifty-two jet erosion tests performed on four cohesive soils were analyzed by nine different methods.Nonlinear methods performed well on some individual tests but fit inconsistently overall.Several alternate linear solution methods outperformed the widely used Blaisdell method.Simple linear regression of erosion rate versus applied shear stress provided the most consistent relationship between erosion rate and critical shear stress parameters.Abstract. The submerged jet erosion test (JET) is widely used in lab and field settings to quantify erodibility of cohesive soils and determine erosion rate coefficients and critical shear stress values. Test devices with different scales and configurations have been developed in recent years, along with several alternative methods for processing the collected data to determine parameters of linear and nonlinear soil erosion equations. To facilitate standardization, 52 JET experiments were conducted on four different cohesive soils compacted at optimum water content and 2% dry and wet of optimum. Each test was analyzed using nine different methods, four based on the linear excess stress equation (including the commonly used Blaisdell method) and five based on nonlinear erosion equations, including two using the recently popular Wilson model. Results were analyzed to determine the erosion equations and parameter-fitting methods that most effectively represent the observed erosion rates and are of greatest utility for soil erosion modeling and the ranking and classification of soils according to erodibility. Methods based on nonlinear erosion equations fit some data sets well, but they exhibited poor correlation between the erosion rate coefficient and the threshold shear stress parameter for initiating erosion, which is problematic for soil erodibility classification work. Linear methods that simultaneously optimized erosion equation parameters to best fit the total depth of scour or the elapsed time needed to reach specific depths of scour performed better than the Blaisdell method, which has been the informally accepted standard of practice since the late 1990s. However, they also exhibited weak correlation of the erosion rate and critical shear stress parameters. Simple linear regression of average scour rate versus average applied stress provided an effective method for representing the erosion rate versus applied stress curve and exhibited the strongest correlation of the erosion rate coefficient and critical shear stress parameters. Keywords: Cohesive soil, Critical shear stress, Erodibility, Erosion, Erosion laws, Erosion models, Jet erosion test, Shear strss, Soil moisture.
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来源期刊
Transactions of the ASABE
Transactions of the ASABE AGRICULTURAL ENGINEERING-
CiteScore
2.30
自引率
0.00%
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0
审稿时长
6 months
期刊介绍: This peer-reviewed journal publishes research that advances the engineering of agricultural, food, and biological systems. Submissions must include original data, analysis or design, or synthesis of existing information; research information for the improvement of education, design, construction, or manufacturing practice; or significant and convincing evidence that confirms and strengthens the findings of others or that revises ideas or challenges accepted theory.
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