A Model for Pavement Characteristic Deflection for Rural Roads in Himachal Pradesh
Aakash Gupta1, Ashok Kumar Gupta2, Ashish Kumarr3
1Aakash Gupta*, Civil Engineering Department, Jaypee University of Information Technology, Solan, India.
2Ashok Kumar Gupta, Civil Engineering Department, Jaypee University of Information Technology, Solan, India.
3Ashish Kumar, Civil Engineering Department, Jaypee University of Information Technology, Solan, India.
Manuscript received on February 06, 2020. | Revised Manuscript received on February 10, 2020. | Manuscript published on February 30, 2020. | PP: 1208-1214 | Volume-9 Issue-3, February, 2020. | Retrieval Number: C5265029320 /2020©BEIESP | DOI: 10.35940/ijeat.C5265.029320
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Structural Evaluation of pavements is essential to assess the structural strength of different layers of pavement. It also helps in determining the remaining life of a pavement and the thickness of overlay required. Surface Deflection is the structural response that is easy to measure and hence, commonly used parameter in structural evaluation. In the present study, an attempt has been made to develop a relationship between surface deflection and various structural parameters of pavements selected on low volume flexible rural roads in Himachal Pradesh. Benkelman Beam has been used to determine characteristic deflection on selected 12 rural road stretches in Shimla and Solan district of Himachal Pradesh. Because the conduction of Benkelman Beam Deflection (BBD) test is costly and difficult to carry out in the region of Himachal Pradesh due to hilly and narrow rural roads leading to disruption of traffic, hence, models have been developed to predict surface deflection value using Soaked CBR, Un-soaked CBR, Average Annual Daily Traffic (AADT) and Age of pavement from last overlay (in years). Another model has also been developed to estimate surface deflection using K-value, AADT and age of pavement. Multiple models have been developed using linear regression model. The various developed models have been studied, compared and best model is suggested supporting better coefficient of determination value and root mean square error (RMSE).
Keywords: Benkelman Beam, California Bearing Ratio, K-value, AADT, Linear Regression