Sample Problem 2: We consider the same graph used in Sample Problem 1. Suppose we have a third point B in the same line, located at 2, 0.5. We are then asked the following questions: What is the slope of the line, using points D and C? We recall that the order of the points us...
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termedsaturated(i.e. all the voids in the soil are filled with water) and this is assumed to be so in the majority of cases considered by engineers in design. Two commonly used measures of soil state are usefully stated at this point. Firstly, thedegree of saturationof a soil sample is...
settings sample random add to notes Slope (m) Intercept (c) Point Slope Intercept 8x - y + 10 = 0 GENERATE WORK GENERATE WORK Line Pass Through Point - work with steps Home Math Geometry Input Data : Slope m = 8 Intercept c = 10 Objective : Find what is the slope intercept of a...
In order to delimit the problem to a practical solution that provides breaks similar to those observed in real cases, the following situations have been established: Other assumptions (i.e. 3D calculation or variable geometry) would lead to cases that are more complicated to solve but with very...
Wu TH, Bettadapura DP, Beal PE (1988) A statistical model of root geometry. For Sci 34:980–997. https://doi.org/10.1093/forestscience/34.4.980 Article Google Scholar Yan WM, Li XS (2012) Mechanical response of a medium-fine-grained decomposed granite in Hong Kong. Eng Geol 129–13...
This approach solely solves the sliding problem of the sliding body, which causes the slope stability coefficient estimate to deviate slightly from the actual scenario4,5.The numerical simulation calculation method has become widely used with the development of computer science. A three-dimensional ...
The material properties in Table 5 were implemented into the geometry model. The upper and lower groundwater levels were used to define the normalized mean of the groundwater table (YNm), as shown in Figure 12. The distribution function was a function used to provide the probability of all ...
Thus, this study set up an intelligent optimization algorithm to adjust the hyperparameters to solve said problem. An intelligent optimization algorithm, also known as one that is meta-heuristic, is generally a random search algorithm based on biological intelligence or physical phenomena; examples of...
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