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Screening Hydroplaning Risk Area by HSD Data Dr Wei Liu Senior Engineer Fugro PMS Ltd
Introduction ,[object Object],[object Object]
Introduction ,[object Object],[object Object],[object Object]
Introduction ,[object Object],[object Object]
Introduction ,[object Object],[object Object],[object Object],Transverse Profile Water Depth
Methodology ,[object Object],[object Object],[object Object],[object Object],[object Object]
Methodology ,[object Object],[object Object],[object Object],[object Object]
Methodology ,[object Object],[object Object],0.44 120 0.61 110 0.89 100 1.33 90 2.10 80 3.51 70 6.36 60 12.87 50 WDmin(mm) Speed (kph)
Implementation Example ,[object Object],[object Object]
Implementation Example ,[object Object]
Implementation Example ,[object Object]
Implementation Example ,[object Object],[object Object],[object Object],[object Object],32 5488 5456 D 20 100 27 5380 5353 D 19 100 43 4986 4943 D 18 100 12 4917 4905 D 17 100 10 4868 4858 D 16 100 27 4783 4756 D 14 100 28 4736 4708 D 14 100 42 4508 4466 D 13 100 34 4072 4038 D 12 100 43 3800 3757 D 11 100 68 3499 3431 D 10 100 145 3408 3263 D 9 100 22 3077 3055 D 8 100 36 2911 2875 D 7 100 28 2774 2746 D 6 100 47 2570 2523 D 5 100 38 861 823 D 4 100 41 709 668 D 3 100 31 576 545 D 2 100 18 463 445 D 1 100 Length (m) End (m) Start (m) Direction Risk Area No Analysis Speed
Implementation Example ,[object Object],[object Object],[object Object],[object Object],Length (m) End (m) Start (m) Direction Risk Area No Analysis Speed 25 5655 5630 I 19 100 37 5304 5267 I 18 100 28 5238 5210 I 17 100 39 5182 5143 I 16 100 36 5137 5101 I 15 100 17 4416 4399 I 14 100 12 4219 4207 I 13 100 14 3638 3624 I 12 100 12 3126 3114 I 11 100 13 2463 2450 I 10 100 43 2269 2226 I 9 100 35 2035 2000 I 8 100 34 1736 1702 I 7 100 30 1585 1555 I 6 100 18 1544 1526 I 5 100 10 1464 1454 I 4 100 54 897 843 I 3 100 11 832 821 I 2 100 22 728 706 I 1 100
Summary and Conclusion ,[object Object],[object Object],[object Object],[object Object],[object Object]
Thank you! If any question or comment, please feel free to contact us [email_address] [email_address] Phone: 07-8470499

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Screening Hydroplaning Risk Area By Hsd Data

  • 1. Screening Hydroplaning Risk Area by HSD Data Dr Wei Liu Senior Engineer Fugro PMS Ltd
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  • 15. Thank you! If any question or comment, please feel free to contact us [email_address] [email_address] Phone: 07-8470499

Notas del editor

  1. Thank you, Mr. Chairman, for your kind introduction. Good morning, ladies and gentlemen! Today, the topic of my presentation is Screening Hydroplaning Risk Area by HSD Data. Without further ado, let’s let at the introduction.
  2. According to road safety reports from various road controlling authorities in New Zealand, about 30%-40% of road crashes occurred in wet conditions. To reduce the number of crashes in wet weather, a lot of effort in the last 20 years has been put into studying and improving the skid resistance performance of the road pavement surfacing by the selection of polish resistant surfacing aggregates and the appropriate maintenance methods.
  3. However, as another type of wet weather risk, hydroplaning, is often only considered and handled in the design phase of road and highway engineering by providing sufficient drainage and proper selection of surface materials. During the operation and maintenance of roads and highways, there is still no direct and practical method to quantify hydroplaning risk on existing roads and highways. Usually, hydroplaning risk is considered as part of the skid resistance problem. However, hydroplaning is totally different from skidding in its mechanism and pavement with good skid resistance performance does not guarantee that it prevents hydroplaning risk.
  4. To understand the mechanism and risk of hydroplaning, let’s look at a short movie first. From this movie, we get that for any set of driver inputs, tyre conditions and surfacing material, hydroplaning is only a function of water depth and vehicle speed. A general rule of thumb for highways is that hydroplaning can be expected for speeds above 70kph where water ponds to a depth of 2.5mm or greater over a distance of 10m or greater.
  5. Pavement transverse profile is normally measured by HSD equipment such as laser profiler to calculate rut depth in the wheelpath. On the other side, water depth can be measured perpendicular to the water surface as the largest of the measured depths from a mean transverse profile. In this research, a methodology for identifying and screening of hydroplaning risk area through calculation of water depth from pavement profile measurement will be introduced.
  6. Since both hydroplaning and traffic safety are very complex topic. Certain assumptions are necessary to solve the problem. The assumptions made in this study are Rainfall intensity and duration is enough to cause the maximum possible water depth on the road surface; Surface drainage is conducted on transverse direction only through the crossfall of road;The influence of tyre characteristics such as tread pattern and depth is ignored; The risk of hydroplaning exposed to all kinds of vehicles and drivers with the same travel speed by the road is similar.
  7. With the assumptions mentioned above, the methodology developed for this problem is as follows: First, Compute the maximum water depth for each transverse profile measurement along the road section. Next, Calculate the minimum water depth that can cause hydroplaning of vehicle at specific travel speed. Finally, Find the hydroplaning risk area of road section for those areas with the actual maximum water depth exceeding the minimum water depth that can cause the hydroplaning of vehicle at specific travel speed with a length more than 10m.
  8. The equation adopted in this research for the calculation of minimum water depth that can cause the hydroplaning of vehicle at certain speed is as follows. Where, WDmin is the minimum water depth in mm that can cause the hydroplaning of vehicle and S is the vehicle speed in kph. By using the above equation, the minimum water depth that cause hydroplaning of vehicle was calculated for a series of speeds as shown following table shown in this slide.