Bump integrator pdf

Close suggestions Search Search. User Settings. Skip carousel. Carousel Previous. Carousel Next. What is Scribd? Explore Ebooks. Bestsellers Editors' Picks All Ebooks. Explore Audiobooks. Bestsellers Editors' Picks All audiobooks. Explore Magazines. Editors' Picks All magazines. Explore Podcasts All podcasts. Difficulty Beginner Intermediate Advanced.

Explore Documents. Bump Integrator. Using several case studies, they have shown how the bias created by speed fluctuations affects the road roughness. Most of the calibration as the most important measure of pavement indices which systems recommend to maintain a constant survey speed or to affects safety, comfort, travel speed, vehicle operating costs keep the speed within a certain range. But carrying out a etc. Therefore, it has been considered as one of the key factors survey with this speed constraint may not always be possible to make a decision for further road works.

Recent literature due to the existence of traffic control devices and heavy traffic regarding optimization of pavement maintenance strategies flow. Therefore, these systems may produce a significant bias also addresses roughness as an important indicator that affects in roughness measurement because of survey speed lifecycle costs of a road stretch. A simplified regression relationship for IRI with But evaluation of roughness of pavement surface is very bump integrator reading and survey speed as explanatory difficult as it also depends on the working principal or strategy variables is developed using ROMDAS bump integrator [1]- of measuring instruments in addition to the actual road surface [6].

Different instruments have been developed by Few researchers worked on the distress of road pavement. Among various in pavements at network level using pavement management instruments, Towed Fifth Wheel Bump Integrator is the most system summarizing the implementation of a condition popular equipment being used by several organizations in prediction or methodology using different techniques to developing countries because it is affordable, simple and quite forecast cracking, raveling, rutting and roughness for Low Volume Roads LVR in India [7]-[10].

But it is required to for different severity levels low, medium, and high were generalize the equations to expand the measuring area and for used as input data set for development of ANN model in most universal use of bump integrator instrument. So, using of the studies [11]-[15]. For validation of the models, percentage III. Spring dashpots mounted on the leaf With the increase of speed, BI value is consequently spring provide damping for the suspension.

An integrating unit decreasing. This phenomenon can be focused to the fact that is there which is mounted on one side of the frame and when the Bump Integrator wheel travels at higher speed it integrates the unevenness in cm. The wheel runs on the pavement surface and the vertical Graphs are plotted between the observed values taking speeds reciprocating motion of the axle is converted into as abscissa and corresponding BI values of roughness as unidirectional rotary motion by an integration unit.

The coordinates. From the graphs Fig. Table II shows the equations at for every 10mm of accumulated unevenness. The generalized equation derived by multiple linear regression IV. In this regard total 15 PMGSY road stretches of m values at a particular speed of operation as the independent are selected at Melagarh subdivision at west district of variable and that particular speed as another independent Tripura, India.

Roads are such way selected that other variable 1. So, it is decided to conduct BI generalized equation for the rest 5 stretches.

To browse Academia. Skip to main content. By using our site, you agree to our collection of information through the use of cookies.

To learn more, view our Privacy Policy. Log In Sign Up. Download Free PDF. Rajesh Gujar. Download PDF.

A short summary of this paper. Class I: Gives higher standard of accuracy which enable precision measurement of pavement surface profile. Class IV: Methods used in situations where higher accuracy is not essential.