Model Development and Experimental Design for Determination of In-situ Engineering Properties of Soil

2016 ◽  
Keyword(s):  
Experimental Design ◽  
Model Development ◽  
Engineering Properties ◽  
Properties Of Soil

Traction-Soil Compaction Tradeoffs as a Function of Dynamic Soil-Tire Interation Due to Varying Soil and Loading Conditions

1995 ◽  
Author(s):  
Shrini Upadhyaya ◽  
Dan Wolf ◽  
William J. Chancellor ◽  
Itzhak Shmulevich ◽  
Amos Hadas
Keyword(s):  
Prediction Model ◽  
Soil Compaction ◽  
Field Tests ◽  
Prediction Equation ◽  
Engineering Properties ◽  
Solution Technique ◽  
Strain Rate Effects ◽  
Disturbed Soil ◽  
Properties Of Soil

The objectives of this study were to investigate soil-pneumatic tire interaction and develop traction-soil compaction prediction model. We have developed an inverse solution technique that employs a response surface methodology to determine engineering properties of soil in-situ. This technique is useful in obtaining actual properties of soil in-situ for use in traction and soil compaction studies rather than using the values obtained in the laboratory by employing remolded and/or disturbed soil samples. We have conducted extensive field tests i the U.S. to develop semi-empirical traction prediction equation for radial ply tires. A user friendly traction-soil compaction program was developed to predict tractive ability of radial ply tires using several different techniques and to estimate soil compaction induced by these tires. A traction prediction model that incorporates strain rate effects on the tractive ability of tires was developed in Israel. A mobile single wheel tester and an in-situ soil test device were developed i Israel to significantly enhance the ability of Israeli investigators to conduct traction-soil compaction research. This project has resulted in close cooperation between UCD, Technion, and ARO, which will be instrumental in future collaboration.

Electrical Resistivity Based Non-Destructive Testing Method for Determination of Soil’s Strength Properties

2012 ◽  
Vol 488-489 ◽  
pp. 1553-1557 ◽  
Author(s):  
Fahad Irfan Siddiqui ◽  
Syed Baharom Azahar Bin Syed Osman
Keyword(s):  
Electrical Resistivity ◽  
Soil Disturbance ◽  
Strength Properties ◽  
Engineering Properties ◽  
Unit Weight ◽  
Ongoing Research ◽  
Electrical Resistivity Survey ◽  
Resistivity Survey ◽  
Properties Of Soil

Precise determination of engineering properties of soil is essential for proper design and successful construction of any structure. The conventional methods for determination of engineering properties are invasive, costly and time-consuming. Electrical resistivity survey is an attractive tool for delineating subsurface properties without soil disturbance. Reliable correlations between electrical resistivity and other soil properties will enable us to characterize the subsurface soil without borehole sampling. This paper presents the preliminary results of an ongoing research on correlations of electrical resistivity with strength properties of soil. Soil investigations, field electrical resistivity survey (VES) and laboratory electrical resistivity measurements were conducted. From the data analysis, significant correlations have been obtained between resistivity and moisture content and angle of internal friction. Weaker correlations have been observed for cohesion and unit weight of soil.

scholarly journals Determination of composition of mixed biological samples using laser-induced fluorescence and combined classification/regression models

2021 ◽  
Vol 136 (11) ◽  
Author(s):  
Lea Fellner ◽  
Marian Kraus ◽  
Arne Walter ◽  
Frank Duschek ◽  
Thomas Bocklitz ◽  
...  
Keyword(s):  
Neural Networks ◽  
Experimental Design ◽  
Regression Models ◽  
Laser Induced Fluorescence ◽  
Classification Algorithms ◽  
Excellent Performance ◽  
Classification And Regression ◽  
Mixed Samples

AbstractLaser-induced fluorescence (LIF) provides the ability to distinguish organic materials by a fast and distant in situ analysis. When detecting the substances directly in the environment, e.g., in an aerosol cloud or on surfaces, additional fluorescence signals of other fluorophores occurring in the surrounding are expected to mix with the desired signal. We approached this problem with a simplified experimental design for an evaluation of classification algorithms. An upcoming question for enhanced identification capabilities is the case of mixed samples providing different signals from different fluorophores. For this work, mixtures of up to four common fluorophores (NADH, FAD, tryptophan and tyrosine) were measured by a dual-wavelength setup and spectrally analyzed. Classification and regression are conducted with neural networks and show an excellent performance in predicting the ratios of the selected ingredients.

Statistics and parallaxes

1978 ◽  
Vol 48 ◽  
pp. 7-29
Author(s):  
T. E. Lutz
Keyword(s):  
Experimental Design ◽  
Statistical Methods ◽  
Review Paper ◽  
Systematic Errors ◽  
Past Experience ◽  
Random Errors ◽  
Trigonometric Parallaxes ◽  
Systematic And Random Errors

This review paper deals with the use of statistical methods to evaluate systematic and random errors associated with trigonometric parallaxes. First, systematic errors which arise when using trigonometric parallaxes to calibrate luminosity systems are discussed. Next, determination of the external errors of parallax measurement are reviewed. Observatory corrections are discussed. Schilt’s point, that as the causes of these systematic differences between observatories are not known the computed corrections can not be applied appropriately, is emphasized. However, modern parallax work is sufficiently accurate that it is necessary to determine observatory corrections if full use is to be made of the potential precision of the data. To this end, it is suggested that a prior experimental design is required. Past experience has shown that accidental overlap of observing programs will not suffice to determine observatory corrections which are meaningful.

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