Spectrum parameters for runway roughness based on statistical and vibration analysis

References

• Cherokee CRC, LLC., 2020 Airbus A330-200 final surface roughness study data collection. DOT/FAA/TC-18/13, U.S. Department of Transportation: Federal Aviation Administration.
   Google Scholar
• Abudinen, D., Fuentes, L.G., and Muñoz, J.S.C., 2017. Travel quality assessment of urban roads based on international roughness index: case study in Colombia. Transportation Research Record, 2612 (April), 1–10. doi:10.3141/2612-01.
   Google Scholar
• Andrén, P., 2006. Power spectral density approximations of longitudinal road profiles. International Journal of Vehicle Design, 40 (1–3), 2–14. doi:10.1504/IJVD.2006.008450.
   Web of Science ®Google Scholar
• Cardoso, S.H., 2007. Aircraft-based pavement surface roughness assessment. Transportation Research Record, 2007 (1), 104–110. doi:10.3141/2007-13.
   Google Scholar
• Chen, Y. and Chou, C., 2004. Effects of airport pavement-profile wavelength on aircraft vertical responses. Transportation Research Record, 1889 (1), 83–93. doi:10.3141/1889-10.
   Google Scholar
• Dong, Q., et al., 2004. Airport pavement roughness evaluation based on aircraft response. Health Monitoring and Smart Nondestructive Evaluation of Structural and Biological Systems III, 5394, 118. doi:10.1117/12.539088.
   Google Scholar
• Durán, J.B.C. and Fernandes Júnior, J.L., 2020. Airport pavement roughness evaluation based on cockpit and center of gravity vertical accelerations. TRANSPORTES, 28 (1), 147–159. doi:10.14295/transportes.v28i1.1932.
   Google Scholar
• Emery, S., Hefer, A., and Horak, E., 2015. Roughness of runways and significance of appropriate specifications and measurement. Proceedings of the 11th Conference on Asphalt Pavements for Southern Africa, Sun City, South Africa.
   Google Scholar
• Endo, K., et al., 2002. Longitudinal surface profiles of an airport runway and aircraft motion. Proceeding of the 2002 Federal Aviation Administration Airport Technology Transfer Conference, Atlantic, NJ, USA.
   Google Scholar
• Fuentes, L., et al., 2019. Pavement serviceability evaluation using whole body vibration techniques: a case study for urban roads. International Journal of Pavement Engineering, 8436. doi:10.1080/10298436.2019.1672872.
   Google Scholar
• Goenaga, B., Fuentes, L., and Mora, O., 2017. Evaluation of the methodologies used to generate random pavement profiles based on the power spectral density: an approach based on the International Roughness Index. Ingeniería e Investigación, 37 (1), 49–57. doi:10.15446/ing.investig.v37n1.57277.
   Web of Science ®Google Scholar
• Hudspeth, S., et al., 2017. Boeing 737-800 final surface roughness study data collection. DOT/FAA/TC-18/8, U.S. Department of Transportation: Federal Aviation Administration.
   Google Scholar
• International Organization for Standardization (IOS), 1995. ISO 8608: Mechanical Vibration — Road Surface Profiles — Reporting of Measured Data. International Organization for Standardization, Geneva, Switzerland.
   Google Scholar
• International Organization for Standardization (IOS), 1997. ISO 2631-1:1997. Mechanical vibration and shock — Evaluation of human exposure to whole-body vibration — Part 1: General requirements. International Organization for Standardization, Geneva, Switzerland.
   Google Scholar
• Kawamura, A., Takahashi, M., and Inoue, T., 2001. Basic analysis of measurement data from Japan in EVEN project. Transportation Research Record, 1764, 232–242. doi:10.3141/1764-24.
   Google Scholar
• Kropáč, O. and Múčka, P., 2007. Indicators of longitudinal road unevenness and their mutual relationships. Road Materials and Pavement Design, 8 (3), 523–549. doi:10.3166/rmpd.8.523-549.
   Web of Science ®Google Scholar
• Kropáč, O. and Múčka, P., 2009. Classification scheme for random longitudinal road unevenness considering road waviness and vehicle response. Shock and Vibration, 16 (3), 273–289. doi:10.1155/2009/935858.
   Web of Science ®Google Scholar
• Liu, S., et al., 2018. Landing gear cumulative stroke-based runway roughness evaluation. Proceedings of 97th Annual Meeting of the Transportation Research Board. Washington, DC, USA.
   Google Scholar
• Loprencipe, G. and Zoccali, P., 2017a. Comparison of methods for evaluating airport pavement roughness. International Journal of Pavement Engineering, 20 (7), 782–791. doi:10.1080/10298436.2017.1345554.
   Web of Science ®Google Scholar
• Loprencipe, G. and Zoccali, P., 2017b. Use of generated artificial road profiles in road roughness evaluation. Journal of Modern Transportation. doi:10.1007/s40534-017-0122-1.
   Web of Science ®Google Scholar
• Múčka, P., 2015. Model of coherence function of road unevenness in parallel tracks for vehicle simulation. International Journal of Vehicle Design, 67 (1), 77–97. doi:10.1504/IJVD.2015.066480.
   Web of Science ®Google Scholar
• Múčka, P., 2016. Proposal of road unevenness classification based on road elevation spectrum parameters. Journal of Testing and Evaluation, 44 (2), 930–944. doi:10.1520/JTE20150179.
   Web of Science ®Google Scholar
• Múčka, P., 2017. International roughness index specifications around the world. Road Materials and Pavement Design, 18 (4), 929–965. doi:10.1080/14680629.2016.1197144.
   Web of Science ®Google Scholar
• Múčka, P., 2018. Simulated road profiles according to ISO 8608 in vibration analysis. Journal of Testing and Evaluation, 46 (1), 405–418. doi:10.1520/JTE20160265.
   Web of Science ®Google Scholar
• Múčka, P. and Kropáč, O., 2009. Properties of random component of longitudinal road profile influenced by local obstacles. International Journal of Vehicle Systems Modelling and Testing, 4 (4), 256–276. doi:10.1504/IJVSMT.2009.032019.
   Google Scholar
• Nguyen, V.H., Nguyen, D.D., and Tatarinov, V., 2018. Methods of spectral density estimation for airfield pavements. MATEC Web Conference, 251, 04002. doi:10.1051/matecconf/201825104002.
   Google Scholar
• Schmidt, B., 2001. EVEN project: experiment to compare and harmonize methods for assessment of longitudinal and transverse evenness of pavement. Transportation Research Record, 1764, 221–231. doi:10.3141/1764-23.
   Google Scholar
• Shi, X., et al., 2020. A new aircraft taxiing model based on filtering white noise method. IEEE Access, 8, 10070–10087. doi:10.1109/ACCESS.2020.2964754.
   Web of Science ®Google Scholar
• Sivakumar, S. and Haran, A.P., 2015. Mathematical model and vibration analysis of aircraft with active landing gears. Journal of Vibration and Control, 21 (2), 229–245. doi:10.1177/1077546313486908.
   Web of Science ®Google Scholar
• Song, I., 2014. Profile data comparisons for airfield runway pavements. Proceedings of 2014 FAA Worldwide Airport Technology Transfer Conference, Galloway, NJ, USA.
   Google Scholar
• Ueckermann, A. and Steinauer, B., 2008. The weighted longitudinal profile. A new method to evaluate the longitudinal evenness of roads. Road Materials and Pavement Design, 9 (2), 135–157. doi:10.3166/rmpd.9.135-157.
   Web of Science ®Google Scholar
• Van Gelder, P.A. and Stet, M.J.A., 2009. Evaluation methods for longitudinal evenness of runway pavements. NLR-TP-2009-190, National Aerospace Laboratory. https://reports.nlr.nl:8080/xmlui/handle/10921/216.
   Google Scholar
• Walls, J.H., Houbolt, J.C., and Press, H., 1954. Some measured and power spectra of runway roughness. Washington, DC: National Advisory Committee for Aeronautics (NACA).
   Google Scholar