My WebLink
|
Help
|
About
|
Sign Out
Home
Browse
Search
08-29-05
ArdenHills
>
Administration
>
City Council
>
City Council Packets
>
2000-2009
>
2005
>
08-29-05
Metadata
Thumbnails
Annotations
Entry Properties
Last modified
9/17/2012 10:46:46 AM
Creation date
11/14/2006 4:25:45 PM
Metadata
Fields
Template:
General
There are no annotations on this page.
Document management portal powered by Laserfiche WebLink 9 © 1998-2015
Laserfiche.
All rights reserved.
/
163
PDF
Print
Pages to print
Enter page numbers and/or page ranges separated by commas. For example, 1,3,5-12.
After downloading, print the document using a PDF reader (e.g. Adobe Reader).
View images
View plain text
<br />F~b 08 05 09:23a <br /> <br />Cit~ of Falcon Heights <br /> <br />6516448675 <br /> <br />p.3 <br /> <br />. <br /> <br />SUMMARY <br /> <br />. <br /> <br />The wheel loads of heavy trucks contribute to various fol1IlS of pavement distress. Of <br />the various types, fatigue (which leads 10 cracking) and permanent deformation (rutting) are <br />of great importance and are the primary focus in this study. Among heavy trucks. all do not <br />cause equal damage because of differences in wheel loads, number and location of axles, <br />types of suspensions and tires, and other faclOtS. Further, the damage is specific to the <br />properties of the pavemen~ opernting conditions, and environmental fllClors. <br /> <br />The mechanics of truck pavement interaction were studied to identify relationships <br />between truck properties and damage (fatigue and rutting). Computer models of trucks <br />were used to generate representative wheel load histories characteristic of the different <br />trucks and operating conditions. Rigid and flexible pavement structural models were used <br />to obtain pavement "influence functions" which characterize the pavement response 10 tire <br />loads at any location on the roadway. The pavement responses arising from the combined <br />loads from all wheels of a truck were then evaluated to estimate overall pavement damage <br />caused by each truck. <br /> <br />The study assessed the significance of truck, tire, pavement, and environmental factors <br />as determinants of pavement damage. While most of the findings reinforce the existing <br />understanding of pavement damage from heavy truck loads the treatment in this study <br />provides a systematic overview of the interactions. as well as new insights on the <br />mechanics involved. It is of most interest to examine the fmdings from the perspective of <br />the truck characteristics that affect pavement damage, and the pavement and environmental <br />factors that influence sensitivity to truck wheel loads. <br /> <br />~ <br /> <br />TRUCK CHARACTERISTICS AFFECTING PAVEMENT <br />DAMAGE <br /> <br />Fatigue damage to rigid and flexible pavements is most directly determined by <br />maximum axle loads and pavement thickness. Fatigue damage varies over a range of 20: I <br />with typical variations in axle loads and over the same range with typical variations in <br />pavement thickness. Other vehicle properties have a smaller, but still significant, influence <br />on fatigue. The relationships between damage and certain truck properties of interest are <br />discussed below: <br /> <br />. Axle loads-Fatigue damage is dominated by the most heavily loaded axles because <br />of the power-law relationship of load and fatigue. The first.order determinant of <br />overall fatigue damage for a vehicle combination is the sum of the ESALs (Equivalent <br />Single Axle Loads) for each axle. Typical truck axle loads vary from 10,000 to <br />22,000 Ib (10 to 22 kips). Assuming a 4th power damage relationship, a 22.kip axle <br />is 23 times as damaging as a 1(}.kip axle. Although the relative fatigue damage varies <br />with the exponent assumed in the power law, the importance of axle load dominates <br />for all reasonable vall,les of the exponent. <br /> <br />. <br /> <br />ix <br />
The URL can be used to link to this page
Your browser does not support the video tag.