This paper is published in Volume-6, Issue-5, 2020
Area
Civil Engineering
Author
Vikas Kumar Reddy T.
Co-authors
Sunny Deol G.
Org/Univ
National Institute of Technology, Raipur, Chhattisgarh, India
Pub. Date
12 October, 2020
Paper ID
V6I5-1331
Publisher
Keywords
Light Weight Deflectometer, Unbound Layers, Layer Moduli, Backcalculation

Citationsacebook

IEEE
Vikas Kumar Reddy T., Sunny Deol G.. Development of empirical correlation for predicting in-situ pavement layer moduli as an alternative to backcalculation analysis, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Vikas Kumar Reddy T., Sunny Deol G. (2020). Development of empirical correlation for predicting in-situ pavement layer moduli as an alternative to backcalculation analysis. International Journal of Advance Research, Ideas and Innovations in Technology, 6(5) www.IJARIIT.com.

MLA
Vikas Kumar Reddy T., Sunny Deol G.. "Development of empirical correlation for predicting in-situ pavement layer moduli as an alternative to backcalculation analysis." International Journal of Advance Research, Ideas and Innovations in Technology 6.5 (2020). www.IJARIIT.com.

Abstract

Pavement backcalculation process is mathematically an indeed complex inverse problem that can be approached deterministically or probabilistically for the realistic estimation of pavement layer moduli using nondestructive testing devices. Non- destructive devices like Falling Weight Deflectometer (FWD) and Lightweight deflectometer (LWD) are mostly used in pavement evaluation and construction practices. LWD device is frequently used as a quality control and quality assurance for unbound layers. In this paper, an attempt has been made to develop a simple empirical equation for estimating three layers thin asphalt pavement (≤ 1.96 inches, 50 mm) moduli values using 33.06 lbs (15 kg) and 44.09lbs (20 kg) falling weight with radial geophones deflections data. An empirical equation was developed using multi linear regression analysis after computing the LWD surface deflections for a large number of pavement structures loaded over (300 mm) 12-inch diameter contact area. Developed empirical equations were validated using conventional KGPBACK, Genetic Algorithm based backcalculation software. The pavement layer moduli predicted from the developed correlations were compared with the KGPBACK results. Results depicts that the variation of layer moduli values are minimal. Thus an empirical equation can be used for estimating pavement layer moduli by eliminating the use of backcalulation software for estimating layer moduli for low volume roads during the structural evaluation process.