Well I love a good science project, so I went off and did this with my car. Corolla is 2400# with 30psi tires, contact patch is slightly elliptical, front is 6.5" long, rear is 5.5" long, which all works out to a contact pressure of 18psi. I was surprised it was this close, so I went off and found this
article that uses data from the tire manufacturer Avon. There's a table that shows how contact pressure varies with loading for a range of tire pressures, below is the table for fixed tire pressure of 28psi. The right hand column should be equal to 28psi for all values of loading, but it's not. It varies by about a factor of 10 with load, and is never closer than a factor of two to the tire pressure. So this indicates contact pressure is a pretty bad predictor of tire load. The table's a little mangled from the cut and paste:
28 PSI
Tire load (lb) Loaded Radius (mm) Contact Patch Length (mm) Patch Area(sq-in) Patch Pressure(psi)
66.14 317.0 98.46 37.39 1.77
119.05 315.7 113.95 43.27 2.75
174.17 314.6 125.53 47.67 3.65
227.08 314.3 128.50 48.80 4.65
282.19 312.7 143.27 54.41 5.19
335.10 311.9 150.08 56.99 5.88
390.22 310.9 158.16 60.06 6.50
445.33 310.1 164.32 62.40 7.14
498.24 309.4 169.52 64.38 7.74
553.36 308.3 177.36 67.35 8.22
608.48 307.5 182.83 69.43 8.76
663.59 306.5 189.42 71.93 9.23
718.71 305.8 193.90 73.63 9.76
773.82 305.2 197.64 75.05 10.31
828.94 304.4 202.52 76.91 10.78
884.05 303.8 206.09 78.26 11.30
936.96 303.1 210.17 79.81 11.74
994.28 302.3 214.73 81.54 12.19
1047.20 301.7 218.08 82.82 12.64
1102.31 301.1 221.37 84.07 13.11
1157.43 300.3 225.68 85.70 13.51
1212.54 299.6 229.37 87.10 13.92
1267.66 299.0 232.48 88.28 14.36
1322.77 298.3 236.05 89.64 14.76
I looked up the formula for contact patch length:
L = 0.7 * a * r[SUB]f[/SUB] * ( d / r[SUB]f[/SUB] + 2.25 * ( d / r[SUB]f[/SUB])[SUP]1/2[/SUP] )
where:
a has a value 1.0 for a static tire (this equation can be used for tires in motion)
r is unloaded tire radius
d is ratio of load to vertical stiffness
which shows that the contact length is non-linear with respect to tire pressure. That agrees with the empirical data in the table above. I'm still puzzled why my experiment produced a result that was only off by 40%, I would have expected it to be off by at least a factor of two based on the better data.
Anyway, that was interesting. I think it is a good science project but probably not a good way to design structures.