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Library / Automotive and vehicle dynamics / VEH-65

Automotive and vehicle dynamics

Road elevation RMS over a spatial band

RMS elevation of a zero-mean road profile over the band n₁ to n₂ cycles per metre, for a one-sided power-law spectrum G(n) = G₀(n/n₀)⁻² with G₀ in m³.

Ref
VEH-65
Rev
v1
Field
Automotive and vehicle dynamics
Result
zRMS [m]

For a one-sided spatial PSD with a power-law shape G(n) = G₀(n/n₀)⁻² (waviness w = 2), the variance over the band n₁ to n₂ is ∫G dn = G₀n₀²(1/n₁ − 1/n₂), and the RMS elevation is its square root. The integral is dominated by the lowest spatial frequencies, so the long wavelengths carry most of the roughness.

RMS elevation of a zero-mean road profile over the band n₁ to n₂ cycles per metre, for a one-sided power-law spectrum G(n) = G₀(n/n₀)⁻² with G₀ in m³. Other spectral slopes need a different integral.

Calculator

Solve for
m
m³
1e-90.01
cycles/m
0.011
cycles/m
0.0050.05
cycles/m
0.55
  • Variance of the elevation, z²4.608×10−5 m²
  • Longest wavelength in the band, 1/n₁20 m
  • Shortest wavelength in the band, 1/n₂2 m

What drives the result

Each variable is moved across its typical range while the others stay at the values above. The longest bar is the key driver.

Band-limited RMS elevation (m) current value 0.006788 m
n0Reference spatial frequencyKey driver
6.79e-40.0679
G0PSD at the reference frequency
1.34e-50.0424
n1Lower band limit
0.0225
n2Upper band limit
0.00712
  • The road RMS elevation is 6.788 mm over wavelengths from 2 m to 20 m.
  • The long-wavelength limit 1/n₁ contributes 111 % of the band integral, so extending the lower limit moves the answer more than the upper limit does.
Chart data as tables

Ranked variables

VariableTypical rangeLowest resultHighest resultSwing (m)Local stepChange in result
n0 Reference spatial frequency0.01 to 1 cycles/m6.788e-40.067880.0672+10%+10 %
G0 PSD at the reference frequency1e-9 to 0.01 m³1.342e-50.042430.04241+10%+4.88 %
n1 Lower band limit0.005 to 0.05 cycles/m0.0067880.022510.01573+10%−5.18 %
n2 Upper band limit0.5 to 5 cycles/m0.0067880.007123.313e-4+10%+0.504 %

Sweep of Lower band limit

Lower band limit (cycles/m)Band-limited RMS elevation (m)
0.0050.02251
0.010630.01536
0.016250.01235
0.021880.01058
0.02750.009379
0.033130.008495
0.038750.007807
0.044380.007251
0.050.006788

Sweep one variable

Band-limited RMS elevation (m)Hover, touch, or use the arrow keys on the chart
0.010.0150.02 0.010.020.030.040.05 Lower band limit (cycles/m) now 0.006788

Variables and how each one contributes

zRMS

Band-limited RMS elevation

Result · m

What the equation gives you. Everything else feeds it.

G0

PSD at the reference frequency

m³ · typical 1e-9 to 0.01

The PSD at the reference spatial frequency, in m³. Raises the RMS as its square root. Raising it by 10 % (to 2.816×10−4) moves the result by +4.88 %, from 0.006788 to 0.00712 m.

n0

Reference spatial frequency

cycles/m · typical 0.01 to 1

The reference spatial frequency, in cycles/m. Raises the RMS in direct proportion, since G₀ is fixed at n₀. Raising it by 10 % (to 0.11) moves the result by +10 %, from 0.006788 to 0.007467 m.

n1

Lower band limit

cycles/m · typical 0.005 to 0.05

The lower band limit, in cycles/m. Lowering it adds long wavelengths and raises the RMS. Raising it by 10 % (to 0.055) moves the result by −5.18 %, from 0.006788 to 0.006436 m.

n2

Upper band limit

cycles/m · typical 0.5 to 5

The upper band limit, in cycles/m. Raising it adds short wavelengths, which adds little. Raising it by 10 % (to 0.55) moves the result by +0.504 %, from 0.006788 to 0.006822 m.

Worked example with the values above

  1. Band term: 1/n₁ − 1/n₂ = 20 − 2 = 18 m.
  2. Variance: G₀ n₀² × that = 2.56×10−4 × 0.01 × 18 = 4.608×10−5 m².
  3. RMS = √variance = 0.0067882 m.

Assumptions and limits

  • Constant vehicle speed along a straight wheel path, and a stationary, zero-mean road profile.
  • One-sided PSDs, with spatial frequency in cycles per metre and temporal frequency in hertz.

Common mistakes

  • Mixing cycles per metre with radians per metre, which differ by 2π.
  • Mixing one-sided and two-sided spectra.
  • Applying a spectral relation outside the wavelength band over which the road was measured.

Statistics and uncertainty

Measured road PSDs scatter by a factor of two or more between road sections, and a power-law fit describes only a limited band. Treat spectral levels as indicative of a road class, not of a specific road.

Where it is used

  • Converting measured road roughness into inputs for ride simulations.
  • Predicting which road wavelengths excite body bounce, pitch and wheel hop.

Maths you need

  • Wavelength and frequency: f = U/λ
  • Power spectral density: variance per unit frequency
  • Parseval’s theorem: the area under the PSD equals the variance

Related formulas

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