4.5. ESTIMATION OF SOME DESIGN PARAMETERS 169
Table 4.4: Young’s modulus, shear modulus, and Poisson’s ratio of some materials
Mechanical
Properties
E (MPa) G (Mpa) ν (Poisson’s Ratio)
Materials
μ
E
σ
E
γ
E
μ
G
σ
G
γ
G
μ
v
σ
v
γ
v
Steel 206010 3269.7 0.0159 78970.5 163.5 0.0021 0.29 0.01333 0.046
Alloy steel 201105 4905 0.0244 79461 / / 0.285 0.015 0.0526
Grey iron 134888 7357.5 0.0545 44145 / / 0.25 0.00667 0.0267
Ductile
iron
142245 4905 0.0345 73084.5 538.7 0.006 / / /
Aluminum
and its
alloy
69651 3269.7 0.0469 25996.5 163.5 0.0063 0.3333 / /
Copper
and its
alloy
100062 9165 0.0916 42183 98.1 0.0023 0.365 0.01838 0.0502
Titanium
alloy
112315 1635.3 0.0145 40858.7 1336.7 0.0327 0.30667 0.01155 0.0377
material properties all follow a normal distribution. Table 4.5 lists distribution parameters of
ultimate strength and yield strength of some aluminum alloy. Table 4.6 displays distribution
parameters of ultimate strength and yield strength of some Magnesium alloys and titanium
alloys. Table 4.7 displays distribution parameters of ultimate strength and yield strength of some
steels. Table 4.8 displays distribution parameters of ultimate strength and yield strength of some
steel alloys. Table 4.9 displays distribution parameters of ultimate strength and yield strength of
some stainless steels. Table 4.10 displays distribution parameters of ultimate strength and yield
strength of some irons.
4.5 ESTIMATION OF SOME DESIGN PARAMETERS
In reliability-based mechanical design, reliability is the measure of a component safety status.
e reliability of a component is solely determined by and based on the statistical descriptions of
all design parameters, that is, the type of distributions and corresponding distribution parameters
of all design parameters. We should use the reliable distribution parameters based on reliable
statistical data to conduct the calculation of the reliability. However, for a rough estimation of the
reliability, when the statistical descriptions of material mechanical properties and some design