Falling Weight Deflectometer Analysis of Low Volume Roads
Journal of Civil, Construction and Environmental Engineering
Volume 4, Issue 4, August 2019, Pages: 73-80
Received: Jun. 14, 2019; Accepted: Sep. 16, 2019; Published: Sep. 23, 2019
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Shrikant Madhav Harle, Department of Civil Engineering, Prof Ram Meghe College of Engineering & Management, Badnera, India
Prakash Pajgade, Department of Civil Engineering, Prof Ram Meghe Institute of Technology & Research, Badnera, India
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The work was carried out on the village roads where the traffic intensity is very low. The roads should be constructed as durable and with minimum construction cost without affecting the strength. Therefore the experiments were carried out on different types of roads. The experiments can be performed in the laboratory but that is not sufficient and therefore the tests should also be performed on the actual constructed pavement patches. The non destructive test is the best way to check the parameters responsible for the effectiveness of pavement. The non destructive testing machines like ground penetrating radar (GPR) and falling weight deflectometer is used to assess different parameters of pavements. The subgrade moduli is also compared with the help of these machines. The falling weight deflectometer (FWD) was carried out on the plastic cell filled concrete block pavement (PCCBP), Geocell filled concrete concrete block pavement (GCCBP) and grouted macadam (GM). The deflection, modulus of elasticity, strain, thickness calculation, area, RRS were calculated through this test by the back calculation. From this observation it is found that the geocell filled concrete block pavement performed well as compared to the other pavements in terms of the calculated parameter. The deflection was more in the grouted macadam when compared with the PCCBP and GCCBP.
Deflection, Strain, FWD, Thickness, Concrete Block Pavement
To cite this article
Shrikant Madhav Harle, Prakash Pajgade, Falling Weight Deflectometer Analysis of Low Volume Roads, Journal of Civil, Construction and Environmental Engineering. Special Issue: Computational Technologies in Concrete Structures. Vol. 4, No. 4, 2019, pp. 73-80. doi: 10.11648/j.jccee.20190404.11
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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