References
- Benedetto, H., Olard, F., & Sauzéata, C. (2004). Linear viscoelastic behaviour of bituminous materials: From binders to mixes. Road Materials and Pavement Design, 5(1), 163–202. doi: 10.1080/14680629.2004.9689992
- Carrera, A., Dawson, A., & Steger, J. (2009). State of the art of materials sensitivity to moisture change (Techreport 2). Project Coordinator University of Nottingham (UK), ZAG (Slovenia), VTT (Finland), SINTEF (Norway).
- Deigan, R. J. (2007). Modeling and experimental investigations of the shock response of viscoelastic foams. (ProQuest Dissertations And Thesis). University of Maryland, College Park.
- Drenth, K. (2010). The low-strength interlayer: A realistic assumption or an expensive approximation in the back-calculation process. In 6th European FWD user group meeting, 10–11 June 2010, Sterrebeek, Belgium.
- El-Ayadi, A., Picoux, B., Lefeuve-Mesgouez, G., Mesgouez, A., & Petit, C. (2012). An improved dynamic model for the study of a flexible pavement. Advances in Engineering Software, 44(1), 44–53. Retrieved from http://han3.library.put.poznan.pl/han/EBSCOhost/search.ebscohost.com.ebscohost.han3.library.put.poznan.pl/login.aspx?direct=true&db=edselp&AN=S096599781100158X&lang=pl&site=eds-live doi: 10.1016/j.advengsoft.2011.05.038
- El-Badawy, S., & Kamel, M. (2011). Assessment and improvement of the accuracy of the Odemark transformation method. International Journal of Advanced Engineering Sciences and Technologies, 5(2), 105–110.
- Fengier, J., Pożarycki, A., & Garbowski, T. (2013). Stiff-plate bearing test simulation based on FWD results. Procedia Engineering, 57, 270–277. doi: 10.1016/j.proeng.2013.04.037
- Firlej, S. (2007). Mechanics of road pavement. Lublin: Petit s.c.
- Gao, F., & Han, L. (2012). Implementing the Nelder–Mead simplex algorithm with adaptive parameters. Computational Optimization and Applications, 51(1), 259–277. doi: 10.1007/s10589-010-9329-3
- Górnaś, P., & Pożarycki, A. (2014). Selected properties of FEM numerical models for inverse analysis of road pavement structures. Roads and Bridges – Drogi i Mosty, 13(3), 203–222.
- Graczyk, M. (2010). Bearing capacity of the multilayer road pavements in national climatic conditions. In Road & B. R. I. Warsaw (Eds.), Studies and Materials, Vol. 63. Warsaw: Road and Bridge Research Institute.
- Guzina, B. B., & Osburn, R. H. (2002). Effective tool for enhancing elastostatic pavement diagnosis. Transportation Research Record 1806, (02-3196).
- Hilmi Lav, A., Burak Goktepe, A., & Aysen Lav, M. (2009). Backcalculation of flexible pavements using soft computing. Intelligent and Soft Computing in Infrastructure Systems Engineering, 259, 67–106. doi: 10.1007/978-3-642-04586-8_4
- Irwin, L. (2004). Backcalculation: Basics and beyond. West Lafayette, IN: FWD Users Group.
- Kang, Y. V. (1998). Multifrequency back-calculation of pavement-layer moduli. Journal of Transportation Engineering, 124, 73–81. doi: 10.1061/(ASCE)0733-947X(1998)124:1(73)
- Lee, H. S., & Kim, J. (2011). Backcalculation of dynamic modulus from resilient modulus test data. Canadian Journal of Civil Engineering, 38(5), 582–592. doi: 10.1139/l11-026
- Leiva-Villacorta, F. (2012). Advanced computing techniques in structural evaluation of flexible pavements using the Falling Weight Deflectometer (Unpublished doctoral dissertation). Auburn University, Alabama.
- Picoux, B., Ayadi, A. E., & Petit, C. (2009). Dynamic response of a flexible pavement submitted by impulsive loading. Soil Dynamics and Earthquake Engineering, 29, 845–854. doi: 10.1016/j.soildyn.2008.09.001
- Pożarycki, A. (2015). Condition assessment of lower roadway layers for pavement management systems. Journal of Civil Engineering and Management, 22(3), 311–321. doi: 10.3846/13923730.2014.897987
- Pożarycki, A., & Górnaś, P. (2014). The numeric model of the properties of viscoelastic pavement layers made of asphalt concrete. Journal Budownictwo i Architektura (in polish), 13(4), 203–213.
- Pożarycki, A., Górnaś, P., & Sztukiewicz, R. (2017). Application of mechanical and electromagnetic waves in an integrated determination of pavement bearing capacity. Roads and Bridges – Drogi i Mosty, 16(2), 101–114. Retrieved from http://www.rabdim.pl/index.php/rb/article/view/v16n2p101
- Qing-long, Y., Xin, Q., & Qing, Y. (2014). Study on damping characteristic parameters and dynamic deflection distribution of asphalt pavements. Journal of Highway and Transportation Research and Development, 8(2), 1–6.
- Qiu, X., Ling, J., & Fang, H. (2008). Mechanism analysis of damping effect on dynamic deflection of asphalt pavement. Mechanics in Engineering, 30(6), 51–55.
- Ruta, P., Krawczyk, B., & Szydło, A. (2015). Identification of pavement elastic moduli by means of impact test. Engineering Structures, 100, 201–211. Retrieved from http://han3.library.put.poznan.pl/han/EBSCOhost/search.ebscohost.com.ebscohost.han3.library.put.poznan.pl/login.aspx?direct=true&db=edselp&AN=S0141029615003727&lang=pl&site=eds-live doi: 10.1016/j.engstruct.2015.05.038
- Ruta, P., & Szydło, A. (2005). Drop-weight test based identification of elastic half-space model parameters. Journal of Sound and Vibration, 282, 411–427. Retrieved from http://han3.library.put.poznan.pl/han/EBSCOhost/search.ebscohost.com.ebscohost.han3.library.put.poznan.pl/login.aspx?direct=true&db=edselp&AN=S0022460X0400313X&lang=pl&site=eds-live doi: 10.1016/j.jsv.2004.02.052
- Saltan, M., Terzi, S., & Kucuksille, E. U. (2010). Backcalculation of pavement layer moduli and Poisson ratio using data mining. Expert Systems with Applications, 38(3), 2600–2608. doi: 10.1016/j.eswa.2010.08.050
- Sangghaleh, A., Pan, E., Green, R., Wang, R., Liu, X., & Cai, Y. (2013). Backcalculation of pavement layer elastic modulus and thickness with measurement errors. International Journal of Pavement Engineering, 15(6), 521–531. doi: 10.1080/10298436.2013.786078
- Seo, J.-W., Kim, S.-I., Choi, J.-S., & Park, D.-W. (2009). Evaluation of layer properties of flexible pavement using a pseudo-static analysis procedure of falling weight deflectometer. Construction and Building Materials, 23, 3206–3213. Retrieved from http://han3.library.put.poznan.pl/han/EBSCOhost/search.ebscohost.com.ebscohost.han3.library.put.poznan.pl/login.aspx?direct=true&db=edselp&AN=S0950061809001822&lang=pl&site=eds-live doi: 10.1016/j.conbuildmat.2009.06.009
- Sharma, S., & Das, A. (2008). Backcalculation of pavement layer moduli from falling weight deflectometer data using an artificial neural network. Canadian Journal of Civil Engineering, 35(1), 57–66. doi: 10.1139/L07-083
- Stolle, D., & Guo, P. (2005). A practical approach to falling-weight deflectometer (FWD) data reduction. Canadian Geotechnical Journal, 42(2), 641–645. Retrieved from http://han3.library.put.poznan.pl/han/EBSCOhost/search.ebscohost.com.ebscohost.han3.library.put.poznan.pl/login.aspx?direct=true&db=a9h&AN=17191385&lang=pl&site=eds-live doi: 10.1139/t04-098
- Subagio, B., Cahyanto, H., Rahman, A., & Mardiyah, S. (2005). Multi-layer pavement structural analysis using method of equivalent thickness, case study: Jakarta-Cikampek toll road. Journal of the Eastern Asia Society for Transportation Studies, 6, 55–65.
- Westover, T., & Guzina, B. (2007). Engineering framework for self-consistent analysis of falling weight deflectometer data. Transportation Research Record: Journal of the Transportation Research Board, (1), 55–63. doi: 10.3141/2005-07
- Wu, Z., & Yang, X. (2012). Evaluation of current Louisiana flexible pavement structures using PMS data and new Mechanistic-Empirical Pavement Design guide (Tech. rep.). Louisiana Transportation Research Center.