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Establishing Equilibrium Skid Resistance

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Wet increase SCRIM Coefficient by 0.1 reduce crash rate by around 30 ... when roads are dry most of the detritus is ground to a fine flour that acts ... – PowerPoint PPT presentation

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Title: Establishing Equilibrium Skid Resistance


1
Establishing Equilibrium Skid Resistance
  • David Cook, Surfacing Engineer
  • New Zealand Transport Agency
  • Chris Kennedy, Director of Civil Engineering
    Services
  • WDM Limited
  • Darren Newland, Project Manager
  • WDM Limited

2
Why measure skid resistance
  • Worldwide increasing skid resistance reduces
    crash rate.
  • New Zealand Cenek Davies
  • Wet increase SCRIM Coefficient by 0.1 reduce
    crash rate by around 30
  • Dry increase SCRIM Coefficient by 0.1 reduce
    crash rate by around 15
  • Safety is one of the four key NZTA outcomes
  • (The difference in skid resistance between wet
    and dry roads can be used to give an indication
    of the effect of increasing skid resistance.)

3
What is skid resistance
  • Every vehicle is different, trucks, cars,
    handling characteristics.
  • Skid resistance is the ratio of the horizontal to
    vertical forces on the particular vehicle.

4
Some general factors for skid resistance
  • SCRIM, GripTester, Pendulum all measure low speed
    skid resistance.
  • ROAR may be towed at higher speeds and
    approximate the full friction curve. Dynamic
    Friction Tester has faster slip speed.
  • I believe the most accurate modeling of vehicles
    is provided by the Pavement Friction Tester.
  • NZTA has chosen to standardise network surveys
    with SCRIM because
  • Robust
  • Slip speed close to the speed for peak friction
  • Suitable for 22,000 lane km annual survey
  • There is a good correlation with slow speed data
    from skid cars.

5
Total skid resistance
  • Total skid resistance, for wet roads, is a
    function of the Low Speed skid resistance and the
    loss at higher speeds due to the time taken to
    drain water from under the tyre road surface.
  • This loss may be up to 80 or more.
  • Hysteresis for those who want to ask?

6
Skid resistance varies with time
  • Initially skid resistance of crushed aggregates
    is quite high, and then reduces to an equilibrium
    value.
  • Skid resistance varies with
  • Heavier traffic
  • Traffic numbers
  • Traffic stress
  • Weather
  • Short term changes and smoothed values
    approximates sinusoidal curve.

7
What measure of skid resistance
  • For crash investigations use the skid resistance
    at the time of the crash for the path of the
    vehicle and the weather conditions.
  • For maintenance decisions we need a single value
    to enable prioritization over the whole of the
    network.
  • Equilibrium SCRIM Coefficient (ESC)
  • The ESC methodology enables skid resistance data
    to be normalised for both within year variations
    (Mean Summer SCRIM Coefficient, MSSC) and between
    year variations ESC.

8
Why does skid resistance vary
  • Over long dry periods there is a buildup of
    contamination, oil, grease, tyre rubber, silt,
    clay and cattle effluent.
  • During rain and under vehicle tyres this
    contamination is washed and scrubbed away.
  • In addition when roads are dry most of the
    detritus is ground to a fine flour that acts like
    a polishing agent under the action of tyres.
    When this is washed away the larger grit provides
    a medium that roughens the stone chips.

9
Mean Summer SCRIM Coefficient (MSSC)
  • Seasonal control sites are tested three time each
    summer and the mean value is MSSC for the site.
  • MSSC averaged over several sites in a seasonal
    control area to give the mean area MSSC
    correction factor.

10
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11
Equilibrium SCRIM Coefficient (ESC)
  • For mature surfacings the MSSC values may vary
    from year to year.
  • Under or over investment in surfacing for skid
    resistance
  • Comparing last four years an ESC Correction
    Factor may be calculated to normalise for between
    year variations.

12

13
Regression Analysis
14
Conclusions
  • When considering priority for skid resistance
    treatments it is important to correct for both
    within year variations and between year
    variations.
  • There is some justification for applying
    regression analysis to the seasonal correction
    methodology but more research is needed to
    consider whether the amount of data required will
    justify this further development.

15
Footnote
  • Extreme dry and hot weather 2007/08 summer.
  • TM 5004, link in paper.
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