簡易檢索 / 詳目顯示

研究生: 蔡律期
Cawich, Amir-Jesus
論文名稱: 利用表面形貌參數預測瀝青混凝土摩擦性能的可行性研究
Feasibility study of using surface topography parameters to predict asphalt concrete friction performance
指導教授: 楊士賢
Yang, Shih-Hsien
學位類別: 碩士
Master
系所名稱: 工學院 - 土木工程學系
Department of Civil Engineering
論文出版年: 2022
畢業學年度: 110
語文別: 英文
論文頁數: 126
外文關鍵詞: Skid Resistance, Surface Topography, mixture design parameters, Fourier Transform, Height Parameters
相關次數: 點閱:46下載:1
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • The skid resistance performance of asphalt pavements is an important parameter used to evaluate the safety of an airport's runway. Studies have shown that the surface topography can significantly contribute to a pavement's skid resistance performance. Similarly, the asphalt mixture used can influence the surface topography. Thus, by effectively linking the mixture design parameters and skid resistance through the surface topography, a rational selection of materials can be made to develop mixtures that consider both the skid resistance performance and the mechanical functions of a pavement. Therefore, this study aimed to investigate the correlation among the performance indicators based on mixture surface topography, skid resistance, and mixture design parameters. Asphalt Concrete (AC) samples with varying surface textures were developed by varying the parameters in the mixture design. Their skid resistance and surface texture were measured and correlated to obtain height parameters that aimed to replace the traditional Mean Texture Depth (MTD), which cannot fully characterize the surface texture-skid resistance relationship. The results showed that the selected height parameters were more effective in characterizing the surface texture of pavements than the MTD. Furthermore, the selected parameters showed a good ability to correlate with the skid resistance and to characterize the changes in surface texture caused by the changes in the mixture design parameters. Thus, they can be used to link the mixture design parameters with the frictional performance of a pavement.

    CHAPTER 1 INTRODUCTION 1.1. Background 1 1.2. Research Objective 4 1.3. Limitation and Scope 4 1.4. Thesis Organization 5 CHAPTER 2 LITERATURE REVIEW 2.1. Skid Resistance 8 2.1.1. Adhesion and Hysteresis effect on pavement friction 9 2.1.2. Skid Resistance Influencing Factors 11 2.2. Surface Texture 13 2.2.1. Surface Texture Components 13 2.2.2. Macrotexture and Microtexture Influence on skid resistance 15 2.3. Surface Texture Characterization 16 2.3.1. Mean Texture Depth 16 2.3.2. Areal Surface Parameters 17 2.4. Skid Resistance development and Mixture design parameters 20 2.4.1. Skid Resistance Development 20 2.4.2. Aggregate influence on Surface Texture 23 2.4.3. Binder influence on Surface Texture 25 CHAPTER 3 RESEARCH METHODOLOGY 3.1. Raw Material Collection 30 3.2. Mixture Design of asphalt concrete samples 31 3.3. Data Collection and testing 33 3.3.1. Sand Patch Method 34 3.3.2. 3D Laser Scanner 35 3.3.3. British Pendulum Tester 38 CHAPTER 4 ANALYSIS 4.1. Program Development 40 4.2. Preprocessing Stage 41 4.3. Surface Filtering and Segmentation 44 4.3.1. Butterworth Bandpass Filter 46 4.4. Surface Texture Parameter Calculation 50 4.4.1. Height Parameters 50 4.4.2. Simulated Mean Texture Depth 53 4.5. Iteration Process 58 CHAPTER 5 RESULTS AND DISCUSSION 5.1. Skid Resistance and Mean Texture Depth 62 5.1.1. Wet and Dry Skid Resistance 62 5.1.2. MTD and Skid Resistance 65 5.2. Height Surface Texture Parameters 69 5.2.1. Dry Skid Resistance 69 5.2.2. Wet Skid Resistance 73 5.3. Skid Resistance and Volumetric Design 78 5.3.1. Binder effect on surface texture 78 5.3.2. Gradation effect on surface texture 82 5.3.3. Mastic effect on surface texture 84 CHAPTER 6 CONCLUSION AND RECOMMENDATIONS 6.1. Conclusion 88 6.2. Recommendations 90 REFERENCES 92 APPENDIX A 99 APPENDIX B 111

    Al-Assi, M., & Kassem, E. (2017). Evaluation of adhesion and hysteresis friction of rubber-pavement system. Applied Sciences (Switzerland), 7(10). https://doi.org/10.3390/app7101029
    American Society for Testing and Materials. (2019). Standard Test Method for Measuring Pavement Macrotexture Depth using a Volumetric Technique (ASTM Standard No. 965-15). Retrieved from: https://www.astm.org/e0965-15r19.html
    Bitelli, G., Simone, A., Girardi, F., & Lantieri, C. (2012). Laser scanning on road pavements: A new approach for characterizing surface texture. Sensors (Switzerland), 12(7), 9110–9128. https://doi.org/10.3390/s120709110
    Čelko, J., Kováč, M., & Kotek, P. (2016). Analysis of the Pavement Surface Texture by 3D Scanner. Transportation Research Procedia, 14, 2994–3003. https://doi.org/10.1016/j.trpro.2016.05.434
    Chen, D., Han, S., Ling, C., & Su, Q. (2019). Prediction of asphalt mixture surface texture level and its distributions using mixture design parameters. International Journal of Pavement Engineering, 20(5), 557–565. https://doi.org/10.1080/10298436.2017.1316644
    Chen, D., Roohi Sefidmazgi, N., & Bahia, H. (2015). Exploring the feasibility of evaluating asphalt pavement surface macro-texture using image-based texture analysis method. Road Materials and Pavement Design, 16(2), 405–420. https://doi.org/10.1080/14680629.2015.1016547
    Chen, J.-S., Huang, C.-C., Chen, C.-H., & Su, K.-Y. (2008). Effect of rubber deposits on runway pavement friction characteristics. Transportation Research Record: Journal of the Transportation Research Board, 2068(1), 119-125. https://doi.org/10.3141/2068-13
    Civil Aviation Safety Authority (2020). ADVISORY CIRCULAR Skid resistance of aerodrome pavements. August, 0–25.
    Dewey, G.R., A.C. Robards, B.T. Armour, and R. Muethel, “Aggregate Wear and Pavement Friction,” Paper presented at Annual Meeting of the Transportation Research Board, Washington, D.C. (2001).
    Du, Y., Qin, B., Weng, Z., Wu, D., & Liu, C. (2021). Promoting the pavement skid resistance estimation by extracting tire-contacted texture based on 3D surface data. Construction and Building Materials, 307(February), 124729. https://doi.org/10.1016/j.conbuildmat.2021.124729
    Dunford, A. M., Parry, A. R., Shipway, P. H., & Viner, H. E. (2012). Three-dimensional characterisation of surface texture for road stones undergoing simulated traffic wear. Wear, 292–293, 188–196. https://doi.org/10.1016/j.wear.2012.05.010
    Edmondson, V., Woodward, J., Lim, M., Kane, M., Martin, J., & Shyha, I. (2019). Improved non-contact 3D field and processing techniques to achieve macrotexture characterisation of pavements. Construction and Building Materials, 227, 116693. https://doi.org/10.1016/j.conbuildmat.2019.116693
    El Gendy, A. and Shalaby A., 2007. Mean profile depth of pavement surface macrotexture using photometric stereo techniques. Journal of Transportation Engineering, 133 (7):433–440
    El Gendy, A., Shalaby, A., Saleh, M., & Flintsch, G. W. (2011). Stereo-vision applications to reconstruct the 3D texture of pavement surface. International Journal of Pavement Engineering, 12(3), 263–273. https://doi.org/10.1080/10298436.2010.546858
    Flintsch G.W., E. De Leon, K.K. McGhee, and I.L. Al-Qadi. 2003. “Pavement Surface Macro-Texture Measurement and Application,” Transportation Research Board (TRB), Washington, D.C.
    Florková, Z., & Jambor, M. (2017). Quantification of Aggregate Surface Texture Based on Three Dimensional Microscope Measurement. Procedia Engineering, 192, 195–200. https://doi.org/10.1016/j.proeng.2017.06.034
    Florková, Z., & Pepucha, L. (2017). Microtexture diagnostics of asphalt pavement surfaces. IOP Conference Series: Materials Science and Engineering, 236(1). https://doi.org/10.1088/1757-899X/236/1/012025
    Gaskell, G. (2022, January 5). 3 1/2 minutes could save you thousands on 3D scanning technology. WENZEL America. Retrieved August 11, 2022, from https://www.wenzelamerica.com/3-%C2%BD-minutes-could-save-you-thousands-on-3d-scanning-technology/
    Goh, T. S., Takahashi, O., & Maekawa, R. (2013). EFFECT OF THE BAILEY RATIOS IN SUPERPAVE GRADATION DESIGN FOR TOKYO INTERNATIONAL AIRPORT PAVEMENT. 8(2), 98–106. https://doi.org/10.3846/bjrbe.2013.13
    Guan, B., Wu, J., Xie, C., Fang, J., Zheng, H., & Chen, H. (2018). Influence of macrotexture and microtexture on the skid resistance of aggregates. Advances in Materials Science and Engineering, 2018. https://doi.org/10.1155/2018/1437069
    Hall, J. W., Smith, K., Titus-Glover, L., Wambold, J. ., Yager, T. ., & Rado, Z. (2009). Guide for Pavement Friction. Guide for Pavement Friction, February. https://doi.org/10.17226/23038
    Henry, J.J. 2000. “Evaluation of Pavement Friction Characteristics,” NCHRP Synthesis 291, National Cooperative Highway Research Program (NCHRP), Washington, D.C.
    Hu, L., Yun, D., Liu, Z., Du, S., Zhang, Z., & Bao, Y. (2016). Effect of three-dimensional macrotexture characteristics on dynamic frictional coefficient of asphalt pavement surface. Construction and Building Materials, 126, 720–729. https://doi.org/10.1016/j.conbuildmat.2016.09.088
    International Organization for Standardization. (2019). Characterization of pavement texture by use of surface profiles-Part 1:Determination of Mean Profile Depth (ISO/DIS Standard No. 13473). Retrieved from: https://www.iso.org/obp/ui/#iso:std:iso:13473:-1:ed-2:v2:en
    ISO 25178-600:2019(EN), geometrical product specifications (GPS…(n.d.). Retrieved July 20, 2022, from https://www.iso.org/obp/ui#!iso:std:67651:en
    Kandhal, P.S. and F. Parker Jr. 1998. Aggregate Tests Related to Asphalt Concrete Performance in Pavements, NCHRP Report 405, National Cooperative Highway Research Program (NCHRP), Washington, D.C.
    Kane, M., Zhao, D., Do, M. T., Chailleux, E., & De-Lalarrard, F. (2010). Exploring the ageing effect of binder on skid resistance evolution of asphalt pavement. Road Materials and Pavement Design, 11(May), 543–557. https://doi.org/10.1080/14680629.2010.9690346
    Kogbara, R. B., Masad, E. A., Kassem, E., Scarpas, A., & Anupam, K. (2016). A state-of-the-art review of parameters influencing measurement and modeling of skid resistance of asphalt pavements. Construction and Building Materials, 114, 602–617. https://doi.org/10.1016/j.conbuildmat.2016.04.002
    Kouchaki, S., Roshani, H., Prozzi, J. A., Garcia, N. Z., & Hernandez, J. B. (2018). Field Investigation of Relationship between Pavement Surface Texture and Friction. Transportation Research Record, 2672(40), 395–407. https://doi.org/10.1177/0361198118777384
    Kummer, H. (1966) Unified Theory of Rubber and Tire Friction. Engineering Research Bulletin B -94, The Pennsylvania State University, 100-101.
    L3Harris Geospatial. (n.d.). Bandpass_Filter. BANDPASS_FILTER. Retrieved September 5, 2022, from https://www.l3harrisgeospatial.com/docs/bandpass_filter.html
    Leach, R. (2013). Characterisation of areal surface texture. In Characterisation of Areal Surface Texture (Vol. 9783642364587). https://doi.org/10.1007/978-3-642-36458-7
    Li, J. Q., Pittenger, D., Wang, K., Ph, D., & Zaman, M. (2019). Development of Aggregate Characteristics - Based Preventive Maintenance Treatments Using 3D Laser Imaging and Aggregate Imaging Technology for Optimized. June 2019.
    Li, L., Wang, K. C. P., & Li, Q. J. (2016). Geometric texture indicators for safety on AC pavements with 1 mm 3D laser texture data. International Journal of Pavement Research and Technology, 9(1), 49–62. https://doi.org/10.1016/j.ijprt.2016.01.004
    Li, Q. (Joshua), Yang, G., Wang, K. C. P., Zhan, Y. (Jason), & Wang, C. (2017). Novel Macro- and Microtexture Indicators for Pavement Friction by Using High-Resolution Three-Dimensional Surface Data. Transportation Research Record, 2641(1), 164–176. https://doi.org/10.3141/2641-19
    Liang, J., Gu, X., Deng, H., & Ni, F. (2019). Detecting device and technology of pavement texture depth based on high precision 3D laser scanning technology. IOP Conference Series: Materials Science and Engineering, 652(1). https://doi.org/10.1088/1757-899X/652/1/012063
    Liu, Q., & Shalaby, A. (2017). Relating concrete pavement noise and friction to three-dimensional texture parameters. International Journal of Pavement Engineering, 18(5), 450–458. https://doi.org/10.1080/10298436.2015.1095897
    McAndrew, A. (2004). In M. Mendelsohn (Ed.), Introduction to digital image processing with MATLAB. essay, Thomson Learning Inc.
    Miao, Y., Wu, J., Hou, Y., Wang, L., Yu, W., & Wang, S. (2019). Study on asphalt pavement surface texture degradation using 3-D image processing techniques and entropy theory. Entropy, 21(2), 1–22. https://doi.org/10.3390/e21020208
    Miller, T., Swiertz, D., Tashman, L., Tabatabaee, N., & Bahia, H. U. (2012). Characterization of asphalt pavement surface texture. Transportation Research Record, 2295(3), 19–26. https://doi.org/10.3141/2295-03
    Noyce, D.A., H.U. Bahia, J.M. Yambo, and G. Kim. 2005. Incorporating Road Safety into Pavement Management: Maximizing Asphalt Pavement Surface Friction for Road Safety Improvements,” Draft Literature Review and State Surveys, Midwest Regional University Transportation Center (UMTRI), Madison, Wisconsin.
    Peng, Li, Zhan, Wang, & Yang. (2019). Finite Element Method-Based Skid Resistance Simulation Using In-Situ 3D Pavement Surface Texture and Friction Data. Materials, 12(23), 3821. https://doi.org/10.3390/ma12233821
    Pérez-Acebo, H., Gonzalo-Orden, H., Findley, D. J., & Rojí, E. (2020). A skid resistance prediction model for an entire road network. Construction and Building Materials, 262. https://doi.org/10.1016/j.conbuildmat.2020.120041
    PIARC World Road Association. Report of the Committee on Surface Characteristics. In Proceeding of XVIII World Road Congress, Brussels, Belgium, 13–19 September 1987.
    Pranjić, I., Deluka-Tibljaš, A., Cuculić, M., & Šurdonja, S. (2020). Influence of pavement surface macrotexture on pavement skid resistance. Transportation Research Procedia, 45(2019), 747–754. https://doi.org/10.1016/j.trpro.2020.02.102
    Qian, Z., & Meng, L. (2017). Study on micro-texture and skid resistance of aggregate during polishing. Frontiers of Structural and Civil Engineering, 11(3), 346–352. https://doi.org/10.1007/s11709-017-0409-7
    Rajaei, M., Sefidmazgi, N. R., & Bahia, H. (2014). Establishment of relationship between pavement surface friction and mixture design properties. Transportation Research Record, 2457(1), 114–120. https://doi.org/10.3141/2457-12
    Song, H.; Jinzhi, Q. Research on temperature affected sideway force coefficient. J. Highw. Transp. Res. Dev. 2005, 12, 32–34
    Song, H.; Jinzhi, Q. Research on temperature affected sideway force coefficient. J. Highw. Transp. Res. Dev. 2005, 12, 32–34.
    Sullivan, B. . (2005). Development of a Fundamental Skid Resistance Asphalt Mix Design Procedure. Pavement Management Service, 1–15.
    Torbruegge, S., & Wies, B. (2015). Characterization of pavement texture by means of height difference correlation and relation to wet skid resistance. Journal of Traffic and Transportation Engineering (English Edition), 2(2), 59–67. https://doi.org/10.1016/j.jtte.2015.02.001
    Wallman, C.G. and H. Astrom. 2001. “Friction Measurement Methods and the Correlation Between Road Friction and Traffic Safety,” Swedish National Road and Transport Research Institute, VTI Meddelande 911A, Linkoping, Sweden.
    Wang, T., Hu, L., Pan, X., Xu, S., & Yun, D. (2020). Effect of the compactness on the texture and friction of asphalt concrete intended for wearing course of the road pavement. Coatings, 10(2). https://doi.org/10.3390/coatings10020192
    Woodward, W. D. H. (2003). Predicting the early life skid resistance of asphalt surfacings. January 2003, 198–204. https://doi.org/10.1617/2912143772.023
    Xin, Q., Qian, Z., Miao, Y., Meng, L., & Wang, L. (2017). Three-dimensional characterisation of asphalt pavement macrotexture using laser scanner and micro element. Road Materials and Pavement Design, 18, 190–199. https://doi.org/10.1080/14680629.2017.1329874.
    Yu, J., Chen, F., Deng, W., Ma, Y., & Yu, H. (2020). Design and performance of high-toughness ultra-thin friction course in south China. Construction and Building Materials, 246, 118508. https://doi.org/10.1016/j.conbuildmat.2020.118508.

    下載圖示 校內:立即公開
    校外:立即公開
    QR CODE