Foundation Design: Principles and Practices (3rd Edition)
Foundation Design: Principles and Practices (3rd Edition)
3rd Edition
ISBN: 9780133411898
Author: Donald P. Coduto, William A. Kitch, Man-chu Ronald Yeung
Publisher: PEARSON
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Chapter 4, Problem 4.9QPP
To determine

The angle of internal friction for each test ϕ and single design value for angle of friction for this soil strata. ϕavg .

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Question 2 A sluice gate controls flow in open channels. At sections 1 and 2, the flow is uniform and the pressure is hydrostatic. Neglecting bottom friction and atmospheric pressure, calculate the velocities V1 and V2, and the horizontal force, F, required to hold the gate if h1 = 6m, h2 = 1m, and b = 5m. h₁V₁ Sluice gate, width b F
Question 1 A pipeline 30 m long connects two tanks which have a difference of water level of 12 m. The first 10 m of pipeline from the upper tank is of 40 mm diameter and the next 20 m is of 60 mm diameter. At the change of section, a valve is fitted. Calculate the rate of flow when the valve is fully opened assuming that its resistance is negligible and that f for both pipes is 0.0054. In order to restrict the flow the valve is then partially closed. If k for the valve is now 5.6, find the percentage reduction in flow. Note the following Reservoir I Segment of Length Pipeline B Diameter (m) (mm) ABC AB 10 40 BC 20 60 Head loss due to friction h₁ = KQ² Valve fl K = 3.028D' Where, •h₂ = k Head loss due to partial closure (VAB-VBC) 2g Reservoir 2 H-12 m
Civil engineering students performed an evaluation of the two primary methods of classification (supervised and unsupervised). The evaluation of the two methods utilized the error matrices. Tables 1 and 2 represent supervised and unsupervised methods respectively. Reference Data Bare Agriculture Buildings Forest land Agriculture 130 8 44 48 Classified Data Buildings 12 162 10 16 Forest 0 22 170 38 Bare land 8 14 6 180 Table 1 Results of supervised classification 252 + Reference Data Bare Agriculture Buildings Forest land Agriculture 60 16 44 48 Classified Data Buildings 13 80 22 16 Forest 2 35 120 38 Bare land 8 14 6 180 Table 2 Results of unsupervised classification Compare the two methods based on the following parameters: a. User accuracy b. Producer accuracy c. Overall accuracy. d. Explain the above parameters (a, b & c) e. Which one of the two methods has higher accuracy? Justify your answer
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