Journal of South China University of Technology(Natural Science) >

2023 , Vol. 51 >Issue 4: 135 - 144

DOI: https://doi.org/10.12141/j.issn.1000-565X.220514

Traffic & Transportation Engineering

High-Throughput Calculation for Meso-Contact of Asphalt Mixture Skeleton

Expand
  • 1.School of Civil Engineering and Transportation，South China University of Technology，Guangzhou 510640，Guangdong，China
    2.School of Highway，Chang’an University，Xi’an 710064，Shaanxi，China
    3.School of Automobile and Traffic Engineering，Wuhan University of Science and Technology，Wuhan 430065，Hubei，China
唐成（1989-），男，博士生，主要从事路面结构与材料多尺度研究。E-mail:ct＿tangcheng@mail.scut.edu.cn

Received date: 2022-08-12

  Online published: 2022-11-03

Supported by

the Natural Science Foundation of Guangdong Province(2019A1515011965)

Fold

Abstract

In order to realize the high-throughput calculation of meso-contact for asphalt mixture skeleton, this paper firstly put forward two contact calculation methods, the neighbor list method and the improved window search method, and then four asphalt mixtures AC13, AC16, OGFC13 and SMA13 were used to compare the difference in calculation accuracy and efficiency among two new methods and exhaustive method, window search method and iPas software, and the range of image resolution that can achieve the balance of calculation speed and accuracy was investigated using virtual specimens. Finally, the applicability of the high throughput calculation method was verified. The results show that neighbor list method can avoid the redundant contact calculation of contact aggregate pairs with the exhaustive method, and the improved window search method can accomplish the purpose of a one loop sweep of the traditional window search method by morphological expansion processing. Neighbor list method, exhaustive method, window search method, improved window search method and iPas software have the same accuracy although there are differences in calculation principles. The order of computational efficiency of different calculation methods is: neighbor list method > exhaustive method > Improved window search method >iPas software > window search method. The decrease of image resolution will improve the speed of contact calculation but reduce the accuracy of contact point calculation results. Considering the requirements of both accuracy and efficiency, a balance of calculation speed and accuracy can be realized when the image resolution range is 0.05~0.075 mm/pixel. The neighbor list method can effectively realize the high throughput characterization of meso-contact of asphalt mixture skeleton.

Key words： asphalt mixture; digital image processing; contact points of skeleton; neighbor list method; high-throughput calculation; high-throughput screening; materials genome

Cite this article

TANG Cheng, WANG Duanyi, YUN Di, et al . High-Throughput Calculation for Meso-Contact of Asphalt Mixture Skeleton[J]. Journal of South China University of Technology(Natural Science), 2023 , 51(4) : 135 -144 . DOI: 10.12141/j.issn.1000-565X.220514

References

1 National science and technology council ．Materials genome initiative strategic plan［R］．Washington DC：Executive Office of the President of the United States，2021.
2 汪洪，向勇，项晓东，等 ．材料基因组——材料研发新模式［J］．科技导报，2015，33（10）：13-19.
  WANG Hong， XIANG Yong， XIANG Xiaodong，et al ．Materials genome enables research and development revolution［J］．Science & Technology Review，2015，33（10）：13-19.
3 谭忆秋，吕慧杰，徐慧宁 ．材料基因思想在沥青路面材料领域的应用展望［J］．交通运输研究，2020，6（5）：2-12.
  TAN Yiqiu， LV Huijie， XU Huining ．Application prospect of material genetics idea in asphalt pavement materials［J］．Transport Research，2020，6（5）：2-12.
4 邢超，谭忆秋，张凯，等 ．基于材料基因组方法的沥青混合料基因特性综述及展望［J］．中国公路学报，2020，33（10）：76-90.
  XING Chao， TAN Yiqiu， ZHANG Kai，et al ．Review and prospect of genetic characteristics of asphalt mixture based on material genome method［J］．China Journal of Highway and Transport，2020，33（10）：76-90.
5 汪洪，项晓东，张澜庭 ．数据+人工智能是材料基因工程的核心［J］．科技导报，2018，36（14）：15-21.
  WANG Hong， XIANG Xiaodong， ZHANG Lanting ．Data + AI：the core of materials genomic engineering［J］．Science & Technology Review，2018，36（14）：15-21.
6 SEFIDMAZGI N R， TASHMAN L， BAHIA H ．Internal structure characterization of asphalt mixtures for rutting performance using imaging analysis［J］．Road Materials and Pavement Design，2012，13（S1）：21-37.
7 石立万，王端宜 ．基于数字图像处理的沥青混合料主骨架评价标准［J］．中国公路学报，2017，30（5）：52-58.
  SHI Liwan， WANG Duanyi ．Evaluation indexes of asphalt mixture main skeleton based on digital image processing［J］．China Journal of Highway and Transport，2017，30（5）：52-58.
8 JIANG J， NI F， DONG Q，et al ．Investigation of the internal structure change of two-layer asphalt mixtures during the wheel tracking test based on 2D image analysis［J］．Construction and Building Materials，2019，209：66-76.
9 牛冬瑜，谢希望，牛艳辉，等 ．粗集料接触参数对沥青混合料损伤演化的影响［J］．中国公路学报，2020，33（10）：201-209.
  NIU Dongyu， XIE Xiwang， NIU Yanhui，et al ．Influence of contact parameters of coarse aggregate on damage evolution of asphalt mixture［J］．China Journal of Highway and Transport，2020，33（10）：201-209.
10 COENEN A R， KUTAY M E， SEFIDMAZGI N R，et al ．Aggregate structure characterisation of asphalt mixtures using two-dimensional image analysis［J］．Road Materials and Pavement Design，2012，13（3）：433-454.
11 GAO J， WANG H， BU Y，et al ．Effects of coarse aggregate angularity on the microstructure of asphalt mixture［J］．Construction and Building Materials，2018，183：472-484.
12 WANG F， XIAO Y， CUI P，et al ．Effect of aggregate morphologies and compaction methods on the skeleton structures in asphalt mixtures［J］．Construction and Building Materials，2020，263：120220.
13 英红，王锦河，张宏，等 ．基于图像的AC20型混合料集料接触分布变异性［J］．同济大学学报（自然科学版），2011，39（3）：359-364.
  YING Hong， WANG Jinhe， ZHANG Hong，et al ．Variation of aggregate contacts distribution in AC20 HMA based on digital image processing［J］．Journal of Tongji University（Natural Science），2011，39（3）：359-364.
14 XING C， XU H， TAN Y，et al ．Mesostructured property of aggregate disruption in asphalt mixture based on digital image processing method［J］．Construction and Building Materials，2019，200：781-789.
15 马杰贤 ．沥青混合料内部几何特征及其细观力学模型的研究［D］．广州：华南理工大学，2018.
16 JIN C， WAN X， LIU P，et al ．Stability prediction for asphalt mixture based on evolutional characterization of aggregate skeleton［J］．Computer‐Aided Civil and Infrastructure Engineering，2021，36（11）：1453-1466.
17 段跃华，张肖宁，李红杰，等 ．基于CT图像的粗集料颗粒接触特性细观尺度研究［J］．建筑材料学报，2011，14（6）：808-813.
  DUAN Yuehua， ZHANG Xiaoning， LI Hongjie，et al ．Research on contact characteristics of coarse aggregates particles within meso scale by CT images［J］．Journal of Building Materials，2011，14（6）：808-813.
18 MA T， ZHANG D， ZHANG Y，et al ．Micromechanical response of aggregate skeleton within asphalt mixture based on virtual simulation of wheel tracking test［J］．Construction and Building Materials，2016，111：153-163.
19 MIAO Y， YU W， HOU Y，et al ．Investigating the functions of particles in packed aggregate blend using a discrete element method［J］．Materials，2019，12（4）：10.3390/ma12040556.
20 王端宜，黎侃，蔡旭 ．基于集料接触特性的沥青混合料抗车辙性能评价［J］．华南理工大学学报（自然科学版），2012，40（11）：121-126，154.
  WAND Duan-yi， LI Kan， CAI Xu ．Evaluation of Rutting Resistance of Asphalt Mixture Based on Aggregate Contact Characteristics［J］．Journal of South China University of Technology （Natural Science Edition），2012，40（11）：121-126，154.
21 英红，周基，吴倩，等 ．骨架型沥青混合料粗集料颗粒接触形态变化规律［J］．建筑材料学报，2016，19（2）：292-299.
  YING Hong， ZHOU Ji， WU Qian，et al ．Variation of the contact form of coarse aggregate particles in skeleton type asphalt mixture［J］．Journal of Building Materials，2016，19（2）：292-299.
22 蔡旭，王端宜，黎侃，等 ．基于散体力学的沥青混合料剪切模量预估［J］．中国公路学报，2013，26（6）：38-46.
  CAI Xu， WANG Duanyi， LI Kan，et al ．Prediction of shear modulus of asphalt mixtures based on granular mechanics［J］．China Journal of Highway and Transport，2013，26（6）：38-46.
23 YANG X， YOU Z， HU J ．Three-dimensional finite-element modeling for asphalt concrete using visual cross-sectional imaging and indirect element meshing based on discrete-element models［J］．Journal of Materials in Civil Engineering，2018，29（1）：04016182.
Options
Outlines

/

〈 〉