This study aims to design and develop a pavement non-destructive quality testing device with the MASW method. Unlike the traditional acquisition techniques that plants geophones on the pavement, the presented approach uses no-tip geophones, placed directly on the pavement surface to preserve its integrity. To proceed, a seismograph using an Arduino Due microcontroller connected to a Raspberry Pi 4 nano-computer was developed. The receivers consist of 6 4.5 Hz GD geophones connected together by a graduated tape to control the inter-trace distance and to in order to acquire data in land-streamer. The recording is triggered by a KY-038 sound sensor. The Arduino acts as an analog-to-digital converter while the Raspberry is used as a real-time data visualization and processing interface. The obtained seismic data has been processed using the Geopsy open-source software which allows the analysis and inversion of the dispersion curves. The studied system has been tested in 4 different sites. The obtained seismic V S and V P velocities as a function of the depth allowed to deduce the elastic properties of the pavement layers and to decide on their mechanical quality with the possibility of integrating the results in the road data banks.
Scholz, T.V. and Rajendran, S. (2009) Investigating Premature Pavement Failure Due to Moisture (No. FHWA-OR-RD-10-02). Oregon Department of Transportation.
Dione, A., et al. (2014) Implementation of Resilient Modulus-CBR Relationship in Mechanistic Pavement Design. Sciences Appliquées et de l’Ingénieur, 1, 65-71.
Levasseur, S. (2007) Analyse Inverse en Géotechnique: Développement d’une méthode à base d’algorithmes génétiques. Université Joseph-Fourier-Grenoble I, Grenoble.
Sawangsuriya, A., Fall, M. and Fratta, D. (2008) Wave-Based Techniques for Evaluating Elastic Modulus and Poisson’s Ratio of Laboratory Compacted Lateritic Soils. Geotechnical and Geological Engineering, 26, 567-578. https://doi.org/10.1007/s10706-008-9190-7
Locat, J. and Beauséjour, N. (1987) Corrélations entre des propriétés mécaniques dynamiques et statiques de sols argileux intacts et traités à la chaux. Canadian Geotechnical Journal, 24, 327-334. https://doi.org/10.1139/t87-043
Foti, S., et al. (2014) Surface Wave Methods for Near-Surface Site Characterization. CRC Press, London. https://doi.org/10.1201/b17268
Park, C.B., Miller, R.D. and Xia, J.H. (1998) Imaging Dispersion Curves of Surface Waves on Multi-Channel Record. SEG Technical Program Expanded Abstracts 1998, Society of Exploration Geophysicists, Tulsa, 1377-1380. https://doi.org/10.1190/1.1820161
Kennett, B.L.N. and Kerry, N.J. (1979) Seismic Waves in a Stratified Half Space. Geophysical Journal International, 57, 557-583. https://doi.org/10.1111/j.1365-246X.1979.tb06779.x
ólafsdóttir, E.á. (2016) Multichannel Analysis of Surface Waves for Assessing Soil Stiffness. University of Iceland, Reykjavík.
Ryden, N. (2009) Surface Wave Testing of Pavements. The Journal of the Acoustical Society of America, 125, 2603. https://doi.org/10.1121/1.4783908
Suto, K. and Kristinof, R. (2014) An MASW Survey to Assess Flood Damaged Road—A Case History. 27th Annual Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP), Boston, 16-20 March 2014, 406-411. https://doi.org/10.4133/SAGEEP.27-143
Heymann, G. (2007) Ground Stiffness Measurement by the Continuous Surface Wave Test. Journal of the South African Institution of Civil Engineering, 49, 25-31.
Al-Hunaidi, M.O. (1993) Insights on the SASW Nondestructive Testing Method. Canadian Journal of Civil Engineering, 20, 940-950. https://doi.org/10.1139/l93-126
Park, C., et al. (2018) MASW Applications for Road Construction and Maintenance. The Leading Edge, 37, 714-792. https://doi.org/10.1190/tle37100724.1
Lin, S.B. and Ashlock, J.C. (2015) Comparison of MASW and MSOR for Surface Wave Testing of Pavements. Journal of Environmental and Engineering Geophysics, 20, 277-285. https://doi.org/10.2113/JEEG20.4.277
Caprioli, P. (1991) Auscultation structurale des sols et des chaussées routières à partir de la propagation d’ondes mécaniques totalement et partiellement guidées. These de Doctorat, Université Louis-Pasteur, Strasbourg.
Park, C., et al. (2004) Imaging Dispersion Curves of Passive Surface Waves. SEG Technical Program Expanded Abstracts, 1357-1360. https://doi.org/10.1190/1.1851112
Louie, J.N. (2001) Faster, Better: Shear-Wave Velocity to 100 Meters Depth from Refraction Microtremor Arrays. Bulletin of the Seismological Society of America, 91, 347-364. https://doi.org/10.1785/0120000098
Sanchez-Salinero, I., et al. (1987) Analytical Evaluation of Variables Affecting Surface Wave Testing of Pavements. Transportation Research Record, 1136.
Yuan, J.B., Zhu, J.Y. and Kim, C.Y. (2014) Comparison of SASW and MASW Methods Using MSOR Approach—A Case Study. International Journal of Geotechnical Engineering, 8, 233-238. https://doi.org/10.1179/1938636213Z.00000000077
Ayolabi, E.A. and Adegbola, R.B. (2014) Application of MASW in Road Failure Investigation. Arabian Journal of Geosciences, 7, 4335-4341. https://doi.org/10.1007/s12517-013-1078-z
Park, C.B. and Carnevale, M. (2010) Optimum MASW Survey—Revisit after a Decade of Use. GeoFlorida 2010: Advances in Analysis, Modeling & Design, Orlando, 20-24 February 2010, 1303-1312. https://doi.org/10.1061/41095(365)130
Hassaim, M., et al. (2001) évaluation de l’état du béton par la technique d’analyse spectrale des ondes de Rayleigh. Canadian Journal of Civil Engineering, 28, 1018-1028. https://doi.org/10.1139/l01-062
Yang, Z.T., et al. (2019) Multi-Channel Analysis of Rayleigh Waves Based on Vector Wavenumber Tansformation Method (VWTM). Chinese Journal of Geophysics, 62, 298-305.
Due, A. and Core, A.R.M. (2017) Arduino Due. Retrieved, 9, 2019.
Atiqur, R. and Li, Y. (2020) Automated Smart Car Parking System Using Raspberry Pi 4 and iOS Application. International Journal of Reconfigurable and Embeded Systems (IJRES), 9, 229-234. https://doi.org/10.11591/ijres.v9.i3.pp229-234
Vitale, G., et al. (2018) Bandwidth Extension of a 4.5 Hz Geophone for Seismic Monitoring Purpose. 2018 IEEE International Conference on Environmental Engineering, Milan, 12-14 March 2018, 1-5. https://doi.org/10.1109/EE1.2018.8385253
Van der Veen, M., Spitzer, R., Green, A.G. and Wild, P. (2001) Design and Application of a Towed Land-Streamer System for Cost-Effective 2-D and Pseudo-3-D Shallow Seismic Data Acquisition. Geophysics, 66, 482-500. https://doi.org/10.1190/1.1444939
Beyreuther, M., et al. (2010) ObsPy: A Python Toolbox for Seismology. Seismological Research Letters, 81, 530-533. https://doi.org/10.1785/gssrl.81.3.530
Wathelet, M., et al. (2020) Geopsy: A User-Friendly Open-Source Tool Set for Ambient Vibration Processing. Seismological Research Letters, 91, 1878-1889. https://doi.org/10.1785/0220190360
Arulrajah, A., Piratheepan, J. and Disfani, M.M. (2014) Reclaimed Asphalt Pavement and Recycled Concrete Aggregate Blends in Pavement Subbases: Laboratory and Field Evaluation. Journal of Materials in Civil Engineering, 26, 349-357. https://doi.org/10.1061/(ASCE)MT.1943-5533.0000850
Gorski, M. (2000) Determination des Modules de Couches de Chaussees Bitumineuses A Partir des Mesures de Portance et d’Epaisseur (Curviametre et Radar). Bulletin CRR/OCW Mededelingen, 42.
Suarez, C.A.M. (2010) Estimation du module réversible des matériaux granulaires de chaussées. Université Laval, Québec.
Ebrahim, R., et al. Etude de la variation du module complexe des enrobés bitumineux sous chargement cyclique. Academic Journal of Civil Engineering, 34, 858-865.