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Table 1 shows the stress-strain data for a new polymeric material rod subjected to an axial load. The last point is observed as the rupture point. Table 1: Stress-strain data for new polymeric material Strain, e Stress, s (Pa) (dimensionless) 32 0.1 59 0.2 75 0.3 86 0.4 104 0.5 120 0.6 129 0.7 125 0.8 114 0.9 97 a) Develop a best-fit equation for the relationship between stress and strain. Employ Naïve-Gauss elimination method whenever necessary. Determine the coefficient of determination for the equation. Calculate the stress value to the most accurate value at strain value 0.53. b) c)

Table 1 shows the stress-strain data for a new polymeric material rod subjected to an axial load. The last point is observed as the rupture point. Table 1: Stress-strain data for new polymeric material Strain, e Stress, s (Pa) (dimensionless) 32 0.1 59 0.2 75 0.3 86 0.4 104 0.5 120 0.6 129 0.7 125 0.8 114 0.9 97 a) Develop a best-fit equation for the relationship between stress and strain. Employ Naïve-Gauss elimination method whenever necessary. Determine the coefficient of determination for the equation. Calculate the stress value to the most accurate value at strain value 0.53. b) c)

Advanced Engineering Mathematics
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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d) e) f) using numerical methods, please provide full solution

Table 1 shows the stress-strain data for a new polymeric material rod subjected to an axial load. The last point is observed as the rupture point. Table 1: Stress-strain data for new polymeric material Strain, e Stress, s (Pa) (dimensionless) 32 0.1 59 0.2 75 0.3 86 0.4 104 0.5 120 0.6 129 0.7 125 0.8 114 0.9 97 Develop a best-fit equation for the relationship between stress and strain. Employ Naïve-Gauss elimination method whenever necessary. a) b) Determine the coefficient of determination for the equation. c) Calculate the stress value to the most accurate value at strain value 0.53. d) The yield point is the point on a stress-strain curve that indicates the limit of elastic behaviour and the beginning of plastic behavior. In this case, the yield point occurs at a stress value of 80. Determine the corresponding strain value at the yield point. In any relevant method, use a stopping criterion of 0.05%. e) The ultimate strength is the maximum point on the stress-strain curve. This corresponds to the maximum stress that can be sustained by a structure in tension. Compute the ultimate strength point of the polymeric material (strain value that gives maximum stress). In any relevant method, use a stopping criterion of 0.05%. f) Determine the absolute error between the calculated maximum concentration and the highest experimental data.
Transcribed Image Text:Table 1 shows the stress-strain data for a new polymeric material rod subjected to an axial load. The last point is observed as the rupture point. Table 1: Stress-strain data for new polymeric material Strain, e Stress, s (Pa) (dimensionless) 32 0.1 59 0.2 75 0.3 86 0.4 104 0.5 120 0.6 129 0.7 125 0.8 114 0.9 97 Develop a best-fit equation for the relationship between stress and strain. Employ Naïve-Gauss elimination method whenever necessary. a) b) Determine the coefficient of determination for the equation. c) Calculate the stress value to the most accurate value at strain value 0.53. d) The yield point is the point on a stress-strain curve that indicates the limit of elastic behaviour and the beginning of plastic behavior. In this case, the yield point occurs at a stress value of 80. Determine the corresponding strain value at the yield point. In any relevant method, use a stopping criterion of 0.05%. e) The ultimate strength is the maximum point on the stress-strain curve. This corresponds to the maximum stress that can be sustained by a structure in tension. Compute the ultimate strength point of the polymeric material (strain value that gives maximum stress). In any relevant method, use a stopping criterion of 0.05%. f) Determine the absolute error between the calculated maximum concentration and the highest experimental data.
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