Diagnosis of a Flexible Pavement using Falling Weight Deflectometer Technology and Numerical Modelling of Dynamic Response

2009 ◽  
Author(s):  
B. Picoux ◽  
A. Millien ◽  
C. Petit ◽  
A. Phelipot-Mardelé ◽  
L. Ulmet
Keyword(s):  
Numerical Modelling ◽  
Dynamic Response ◽  
Flexible Pavement ◽  
Falling Weight Deflectometer ◽  
Falling Weight

Use of falling weight deflectometer time history data for the analysis of seasonal variation in pavement response

2010 ◽  
Vol 37 (9) ◽  
pp. 1224-1231 ◽  
Author(s):  
Kate Deblois ◽  
Jean-Pascal Bilodeau ◽  
Guy Doré
Keyword(s):  
Phase Angle ◽  
Time History ◽  
Test Site ◽  
Flexible Pavement ◽  
Dissipated Energy ◽  
Falling Weight Deflectometer ◽  
History Data ◽  
The Road ◽  
Pavement Structures ◽  
Falling Weight

This paper presents the results of an exploratory analysis of falling weight deflectometer (FWD) data collected on a large project about the spring thaw behaviour of pavements. The test site includes four test sections, two of which are conventional flexible pavement structures, whereas the other two are built with a cement-treated base. The aim of this study is to verify the applicability of using FWD time history data to evaluate damage to a road during the thawing period. The applicability of the analysis techniques is verified through the phase angle and dissipated energy. The data analyzed were obtained from tests conducted with an FWD on one flexible pavement test section. The results obtained showed a clear difference between the winter, thawing, and summer periods. It was found that the phase angle and dissipated energy can be used to evaluate the road damage during the thawing period through quantification of the phase angle and dissipated energy. These factors can also be used to describe the pavement behaviour in terms of elasticity and viscoelasticity.

scholarly journals Preliminary In-Situ Evaluation of an Innovative, Semi-Flexible Pavement Wearing Course Mixture Using Fast Falling Weight Deflectometer

Materials ◽  
2018 ◽  
Vol 11 (4) ◽  
pp. 611 ◽  
Author(s):  
Chiara Pratelli ◽  
Giacomo Betti ◽  
Tullio Giuffrè ◽  
Alessandro Marradi
Keyword(s):  
Flexible Pavement ◽  
Falling Weight Deflectometer ◽  
Falling Weight

scholarly journals Estimation of Flexible Pavement Structural Capacity Using Machine Learning Techniques

2020 ◽  
Author(s):  
Nader Karballaeezadeh ◽  
Hosein Ghasemzadeh Tehrani ◽  
Danial Mohammadzadeh S. ◽  
Shahaboddin Shamshirband
Keyword(s):  
Machine Learning ◽  
Random Forest ◽  
Ground Penetrating Radar ◽  
Flexible Pavement ◽  
Falling Weight Deflectometer ◽  
Machine Learning Methods ◽  
Back Calculation ◽  
Ground Penetrating ◽  
Falling Weight ◽  
Surface Deflections

The most common index for representing structural condition of the pavement is the structural number. The current procedure for determining structural numbers involves utilizing falling weight deflectometer and ground-penetrating radar tests, recording pavement surface deflections, and analyzing recorded deflections by back-calculation manners. This procedure has two drawbacks: 1. falling weight deflectometer and ground-penetrating radar are expensive tests, 2. back-calculation ways has some inherent shortcomings compared to exact methods as they adopt a trial and error approach. In this study, three machine learning methods entitled Gaussian process regression, m5p model tree, and random forest used for the prediction of structural numbers in flexible pavements. Dataset of this paper is related to 759 flexible pavement sections at Semnan and Khuzestan provinces in Iran and includes “structural number” as output and “surface deflections and surface temperature” as inputs. The accuracy of results was examined based on three criteria of R, MAE, and RMSE. Among the methods employed in this paper, random forest is the most accurate as it yields the best values for above criteria (R=0.841, MAE=0.592, and RMSE=0.760). The proposed method does not require to use ground penetrating radar test, which in turn reduce costs and work difficulty. Using machine learning methods instead of back-calculation improves the calculation process quality and accuracy.

scholarly journals PERENCANAAN LAPIS TAMBAH PERKERASAN PADA RUAS JALAN LAMBARO – BATAS PIDIE

2018 ◽  
Vol 1 (3) ◽  
pp. 31-38
Author(s):  
Rizaldi Fachrun ◽  
Muhammad Isya ◽  
Sofyan M. Saleh
Keyword(s):  
Resilient Modulus ◽  
Flexible Pavement ◽  
Falling Weight Deflectometer ◽  
National Highway ◽  
Pavement Damage ◽  
Falling Weight

Lambaro - Batas Pidie is a highway that located in Aceh Besar District, and has important function as a national highway. This highway is connecting from Aceh Besar District to Pidie District, started from Ingin Jaya District to Lembah Seulawah District. There is pavement damage that needs overlay activity in the highway, so the pavement is needed to maintain. This study is performed to find the overlay thick of pavement by using Falling Weight Deflectometer (FWD) and Benkelman Beam (BB) tools. Overlay thick design is based on Design of Overlay Thick of Flexible Pavement by Deflection Method (Pd T-05-2005-B). The segment of this study is in Jalan Lambaro - Batas Pidie highway, the data that taken is from the same point between FWD and BB. This is from STA 14+250 to STA 16+300. To design the overlay, this investigation need the testing result deflection of FWD and BB, then the value result is corrected. After the obtain corrected deflection value, the next process is calculating uniformty factor (FK), representative deflection (Dsbl ov), design deflection (Dstl ov), overlay thick (Ho), factor of overlay thickness (Fo), and corrected overlay thick (HT). The result of this study is the overlay thick from FWD and BB, it is 7 cm for FWD and 9 cm for BB. From the study result, the conclution is the FK value is under 30% and used overlay pavement is concrete asphalt layer with 2,000 MPa Resilient Modulus and minimum stability of Marshall Value is 800 kg.

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