Pavement discontinuities in urban areas contribute to local noise emission, which is related to the type of discontinuity (pavement equipments or surface distresses) and their level of severity.
After evaluation of the different discontinuities that can be encountered on the urban road network, three different measuring procedures are detailed in order to quantify an acoustic indicator ΔL(Disc) representative of the discontinuities effects.
After validation of the various experimental techniques, and from results based on large experimental campaigns in different urban situations, a methodology to fill up two “Severity Level” matrixes for distresses and pavement equipments respectively, is detailed. Those matrixes will finally be used to propose a methodology, which will allow identifying the possibility to predict the evolution of the discontinuities from an acoustic technique in association to a statistical analysis.
Finally, some first preliminary experimental results obtained through an adapted CPX procedure developed in LCPC-France show the possibility to implement such a procedure to determine the ΔL(Disc) indicator and its range of variation function of the discontinuity.
The similarity algorithm calculates how much two contents in the system are similar to one another. So far, similarity is calculated based on similarity of the project type, area of interest and user type. Generally, if two contents have more parameters in common they are more similar to each another. More information.
The aim of this document is to
• Discuss new and existing methods for determining the influen ...
58.33
created: Ferenc Rajcsanyi, 12.05.2009 11:14:00 last modified: Ferenc Rajcsanyi, 12.05.2009 17:25:00
While we are still building the FEHRLopedia with the help of experts like yourself, you may find that not all subjects are covered as deeply as you need. Therefore if you don't find the results you are looking for, please try the CERTAIN custom Google search. We would be grateful if you would create new content for the FEHRLopedia from your results. Thanks for your assistance in building the system.