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Research Articles

3D Reconstruction and morphology analysis of coarse aggregate using optical laser triangulation and image processing technology

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Pages 790-819 | Received 02 Nov 2022, Accepted 09 Jun 2023, Published online: 24 Jun 2023

References

  • Ai-jun, A., & Zhi-hong, N. (2019). An approach to 3D roundness quantification. China Civil Engineering Journal, 52(S2), 51–57 + 72.
  • Anochie-Boateng, J. K., Komba, J. J., & Mvelase, G. M. (2013). Three-dimensional laser scanning technique to quantify aggregate and ballast shape properties. Construction and Building Materials, 43, 389–398. https://doi.org/10.1016/j.conbuildmat.2013.02.062
  • Bangaru, R. S., & Das, A. (2012). Aggregate shape characterization in frequency domain. Construction and Building Materials, 34, 554–560. https://doi.org/10.1016/j.conbuildmat.2012.02.063
  • Buchanan, M. S., & Haddock, J. E. (1999). Automated Aggregate Grading Analysis: Development and Use. NCAT Report, (99-5).
  • Castillo, D., Caro, S., Darabi, M., & Masad, E. (2018). Influence of aggregate morphology on the mechanical performance of asphalt mixtures. Road Materials and Pavement Design, 19(4), 972–991. https://doi.org/10.1080/14680629.2017.1283357
  • Chandan, C., Fletcher, T., Masad, E., & Sivakumar, K. (2002). Aggregate imaging system (aims) For characterizing the shape of fine and coarse aggregates. Transportation Research Record, 1832(1), 67–77. https://doi.org/10.3141/1832-09
  • Chandan, C., Sivakumar, K., Masad, E., & Fletcher, T. (2004). Application of imaging techniques to geometry analysis of aggregate particles. Journal of Computing in Civil Engineering, 18(1), 75–82. https://doi.org/10.1061/(ASCE)0887-3801(2004)18:1(75)
  • Chen, J. S., Shiah, M. S., & Chen, H. J. (2001). Quantification of coarse aggregate shape and its effect on engineering properties of hot-mix asphalt mixtures. Journal of Testing and Evaluation, 29(6), 513–519. https://doi.org/10.1520/JTE12396J
  • Dalhat, M. A., & Osman, S. A. (2023). Studying the impact of aggregates and mix volumetric properties on the moisture resistance of asphalt concrete using a feed-forward artificial neural network. Road Materials and Pavement Design, 1–22. https://doi.org/10.1080/14680629.2023.2165533
  • Descantes, Y., Fossse, Y., & Milcent, F. (2006). Automated measurement of railway ballast angularity. Journal of Materials in Civil Engineering, 18(4), 612–618. https://doi.org/10.1061/(ASCE)0899-1561(2006)18:4(612)
  • Digne, J., & De Franchis, C. (2017). The bilateral filter for point clouds. Image Processing On Line, 7, 278–287. https://doi.org/10.5201/ipol.2017.179
  • Diógenes, L. M., Bessa, I. S., Castelo Branco, V. T. F., & Mahmoud, E. (2019). The influence of stone crushing processes on aggregate shape properties. Road Materials and Pavement Design, 20(4), 877–894. https://doi.org/10.1080/14680629.2017.1422792
  • Fletcher, T., Chandan, C., Masad, E., & Sivakumar, K. (2002). Measurement of aggregate texture and its influence on HMA permanent deformation. Journal of Testing and Evaluation, 30(6), 524–531. https://doi.org/10.1520/JTE12340J
  • Gao, J., Wang, H., Bu, Y., You, Z., Hasan, M. R. M., & Irfan, M. (2018). Effects of coarse aggregate angularity on the microstructure of asphalt mixture. Construction and Building Materials, 183, 472–484. https://doi.org/10.1016/j.conbuildmat.2018.06.170
  • Gates, L., Masad, E., Pyle, R., & Bushee, D. (2011). Aggregate imaging measurement system 2 (AIMS2). Federal Highway Administration (US).
  • Han, S., Sun, P., & Fwa, T. F. (2021). Relationships between internal structure and surface texture of asphalt mixtures. Road Materials and Pavement Design, 22(4), 894–909. https://doi.org/10.1080/14680629.2019.1691045
  • Hou, Y.-f. (2016). 3D detection research and analysis of coarse aggregate particles based on structured light. Chang’an University.
  • Illerstrom, A. (1998). A 3-D laser technique for size, shape and texture analysis of ballast. Sweden, Royal Institute of Technology.
  • Jeong, J. H., Jo, H., & Ditzler, G. (2020). Convolutional neural networks for pavement roughness assessment using calibration-free vehicle dynamics. Computer-Aided Civil and Infrastructure Engineering, 35(11), 1209–1229. https://doi.org/10.1111/mice.12546
  • Jin, C., Wang, P., Yang, X., Liu, K., & Ling, T. (2019). Analysis on parameters of asphalt mixture based on 3D virtual measurement. Journal of Highway and Transportation Research, 36(08), 1–8. https://doi.org/10.3969/j.issn.1002-0268.2019.08.001
  • Kim, H., Haas, C. T., Rauch A. F., & Browne, C. (2002). Dimensional ratios for stone aggregates from three-dimensional laser scans. Journal of Computing in Civil Engineering, 16(3), 175–183. https://doi.org/10.1061/(ASCE)0887-3801(2002)16:3(175)
  • Krumbein, W. C. (1941). Measurement and geological significance of shape and roundness of sedimentary particles. Journal of Sedimentary Research, 11(2), 64–72. https://doi.org/10.1306/D42690F3-2B26-11D7-8648000102C1865D
  • Kuo, C. Y. (2002). Correlating permanent deformation characteristics of hot mix asphalt with aggregate geometric irregularities. Journal of Testing and Evaluation, 30(2), 136–144. https://doi.org/10.1520/JTE12299J
  • Lanaro, F., & Tolppanen, P. (2002). 3D characterization of coarse aggregates. Engineering Geology, 65(1), 17–30. https://doi.org/10.1016/S0013-7952(01)00133-8
  • Lees, G. (1964). The measurement of particle shape and its influence in engineering materials. Journal of the British Granite and Whinstone Federation, 4(2).
  • Li, L., Liu, H., Zhang, Z., Cao, P., & Yan, Y. (2021). Study on quantitative characterization method of 3D morphology of road aggregate. Journal of Highway and Transportation Research, 38(02), 16–23. https://doi.org/10.3969/j.issn.1002-0268.2021.02.003
  • Li, P., Su, J., Ma, S., & Dong, H. (2020). Effect of aggregate contact condition on skeleton stability in asphalt mixture. International Journal of Pavement Engineering, 21(2), 196–202. https://doi.org/10.1080/10298436.2018.1450503
  • Liu, Y., Gong, F., You, Z., & Wang, H. (2018). Aggregate morphological characterization with 3D optical scanner versus X-ray computed tomography. Journal of Materials in Civil Engineering, 30(1), 04017248. https://doi.org/10.1061/(ASCE)MT.1943-5533.0002091
  • Lu, Y.-q. (2019). Probability theory and mathematical statistics (pp. 129–131). Shanghai Scientific & Technical Publishers.
  • Ma, L.-s. (2018). Research on pavement crack recognition method based on digital image processing. Southeast University.
  • Maerz, N. H. (2004). Technical and computational aspects of the measurement of aggregate shape by digital image analysis. Journal of Computing in Civil Engineering, 18(1), 10–18. https://doi.org/10.1061/(ASCE)0887-3801(2004)18:1(10)
  • Masad, E. (2001). Review of imaging techniques for characterizing the shape of aggregates used in asphalt mixes[C]//International Center for Aggregates Research 9th Annual Symposium: Aggregates-Concrete,: Bases and FinesInternational Center for Aggregates Research (ICAR); University of Texas at Austin; Texas A&M University System; Aggregates Foundation for Technology, Research & Education (AFTRE); National Stone, Sand & Gravel Association (NSSGA); Florida Rock Industries (Final Draft).
  • Masad, E. (2003). The development of a computer controlled image analysis system for measuring aggregate shape properties. Transportation Research Board.
  • Masad, E., & Button, J. W. (2000). Unified imaging approach for measuring aggregate angularity and texture. Computer-Aided Civil and Infrastructure Engineering, 15(4), 273–280. https://doi.org/10.1111/0885-9507.00191
  • Moaveni, M., Mahmoud, E., Ortiz, E. M., Tutumluer, E., & Beshears, S. (2014). Use of advanced aggregate imaging systems to evaluate aggregate resistance to breakage, abrasion, and polishing. Transportation Research Record, 2401(1), 1–10. https://doi.org/10.3141/2401-01
  • Moaveni, M., Wang, S., Hart, J. M., Tutumluer, E., & Ahuja, N. (2013). Evaluation of aggregate size and shape by means of segmentation techniques and aggregate image processing algorithms. Transportation Research Record, 2335(1), 50–59. https://doi.org/10.3141/2335-06
  • Qu, Y.-k. (2020). Study on the influence of aggregate morphology on asphalt mixture microstructure and mechanical properties. Harbin Institute of Technology.
  • Rao, C., Tutumluer, E., & Stefanski, J. A. (2001). Coarse aggregate shape and size properties using a new image analyzer. Journal of Testing and Evaluation, 29(5), 461–471. https://doi.org/10.1520/JTE12276J
  • Rao, C. B. (2001). Development of 3D image analysis techniques to determine shape and size properties of coarse aggregate. University of Illinois at Urbana-Champaign.
  • Song, Y., Liang, N., Yan, G., & Yang, Y. (2015). Skid-resistant performance of texture structure of exposed-aggregate cement concrete pavement based on digital image technology. Journal of Harbin Institute of Technology, 47(02), 123–128. https://doi.org/10.11918/j.issn.0367-6234.2015.02.022
  • Teutsch, T., Gönninger, L., Ruf, M., Steeb, H., & Ressel, W. (2023). Microstructural characterisation and analysis of coarse aggregates in asphalt drill cores. Road Materials and Pavement Design, 1–23. https://doi.org/10.1080/14680629.2022.2164333
  • Volume, W. H. (1932). Shape and roundness of rock particles. Journal of Geology, 40(5), 443–451. https://doi.org/10.1086/623964
  • Wan, X.-d. (2021). Three-dimensional visualization and mechanical characterization of skeleton structure of asphalt mixture based on detection of aggregate contacts. Hefei University of Technology.
  • Wang, F., Xiao, Y., Cui, P., & Mo, L. (2022). Measuring aggregate morphologies based on three-dimensional curvature analysis. Computer-Aided Civil and Infrastructure Engineering, 37(13), 1674–1686. https://doi.org/10.1111/mice.12789
  • Wang, H. (2008). Application research of grey system theory on the highway asphalt pavement maintenance management decision. Chongqing Jiaotong University.
  • Wang, L., Wang, X., Mohammad, L., & Abadie, C. (2005). Unifed method to quantify aggregate shape angularity and texture using Fourier analysis. Journal of Materials in Civil Engineering, 17(5), 498–504. https://doi.org/10.1061/(ASCE)0899-1561(2005)17:5(498)
  • Wilson, J. D., & Klotz, L. D. (1996). Quantitative analysis of aggregate based on hough transform. Transportation Research Record, 1530(1), 111–115. https://doi.org/10.1177/0361198196153000114
  • Wilson, J. D., Klotz, L. D., & Nagaraj, C. (1997). Automated measurement of aggregate indices of shape. Particulate Science and Technology, 15(1), 13–35. https://doi.org/10.1080/02726359708906707
  • Yang, Q., Guo, Z., Chen, L., & Mao, J. (2006). Fractal analysis of gradation and its application in pavement engineering. Journal of Building Materials, 9(4), 418–422.
  • Zhou, J., Zeng, S., Liang, N., & Zhao, J. (2021). Evaluation method and example verification of coarse aggregate needle and flake based on digital image technology. Technology of Highway and Transport, 37(03), 45–50 + 56. https://doi.org/10.13607/j.cnki.gljt.2021.03.008

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