Study on the micromechanical response during permanent deformation of asphalt mixtures by discrete element modeling with real aggregate morphology
•Python image processing algorithms for separating aggregates and asphalt mastic.•2D Python-developed virtual model was proposed to analyze rutting mechanism.•Pioneered the interaction between PFC2D and Python. This study developed a novel 2D virtual rutting model to analyze the permanent deformatio...
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| Published in | Construction & building materials Vol. 392; p. 131778 |
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| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
15.08.2023
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0950-0618 1879-0526 |
| DOI | 10.1016/j.conbuildmat.2023.131778 |
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| Abstract | •Python image processing algorithms for separating aggregates and asphalt mastic.•2D Python-developed virtual model was proposed to analyze rutting mechanism.•Pioneered the interaction between PFC2D and Python.
This study developed a novel 2D virtual rutting model to analyze the permanent deformation mechanism and the micromechanical response of asphalt mixtures. Digital samples of asphalt mixture were image-processed by Python-based algorithms to effectively segment coarse aggregate and asphalt mastic. The Python processed images were imported into PFC2D to establish a 2D virtual rutting model that incorporated the aggregate morphology, the aggregate gradation, and the aggregate void distribution. The feasibility and accuracy of the 2D virtual rutting model were validated by macroscopic laboratory rutting tests. The 2D virtual rutting test had 6.22% higher dynamic stability and 2.12% lower rutting deformation than the laboratory indoor rutting test. As rutting depth increased, the number of effective contacts declined to a steady value. The average Burger contact force between particles within the rutting model increased as loaded. Results demonstrated that the 2D virtual rutting test model was capable of simulating the time-dependent rutting deformation by incorporating Python-coupled algorithms to process aggregates' topography characteristics. |
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| AbstractList | •Python image processing algorithms for separating aggregates and asphalt mastic.•2D Python-developed virtual model was proposed to analyze rutting mechanism.•Pioneered the interaction between PFC2D and Python.
This study developed a novel 2D virtual rutting model to analyze the permanent deformation mechanism and the micromechanical response of asphalt mixtures. Digital samples of asphalt mixture were image-processed by Python-based algorithms to effectively segment coarse aggregate and asphalt mastic. The Python processed images were imported into PFC2D to establish a 2D virtual rutting model that incorporated the aggregate morphology, the aggregate gradation, and the aggregate void distribution. The feasibility and accuracy of the 2D virtual rutting model were validated by macroscopic laboratory rutting tests. The 2D virtual rutting test had 6.22% higher dynamic stability and 2.12% lower rutting deformation than the laboratory indoor rutting test. As rutting depth increased, the number of effective contacts declined to a steady value. The average Burger contact force between particles within the rutting model increased as loaded. Results demonstrated that the 2D virtual rutting test model was capable of simulating the time-dependent rutting deformation by incorporating Python-coupled algorithms to process aggregates' topography characteristics. |
| ArticleNumber | 131778 |
| Author | Zhang, Ye Dai, Zexinyu Wei, Dingbing Liu, Yanping Li, Kuan Song, Jing Xie, Jianguang |
| Author_xml | – sequence: 1 givenname: Yanping surname: Liu fullname: Liu, Yanping organization: Department of Civil and Airport Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu Province 210016, China – sequence: 2 givenname: Jianguang surname: Xie fullname: Xie, Jianguang organization: Department of Civil and Airport Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu Province 210016, China – sequence: 3 givenname: Ye surname: Zhang fullname: Zhang, Ye organization: Department of Civil and Airport Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu Province 210016, China – sequence: 4 givenname: Dingbing surname: Wei fullname: Wei, Dingbing email: weidb@jsou.edu.cn organization: Department of Civil and Airport Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu Province 210016, China – sequence: 5 givenname: Kuan surname: Li fullname: Li, Kuan organization: Department of Civil and Airport Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu Province 210016, China – sequence: 6 givenname: Jing surname: Song fullname: Song, Jing organization: Department of Civil and Airport Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu Province 210016, China – sequence: 7 givenname: Zexinyu surname: Dai fullname: Dai, Zexinyu organization: Department of Civil and Airport Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu Province 210016, China |
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| Cites_doi | 10.1007/s10035-020-01059-1 10.1016/j.conbuildmat.2019.117263 10.1155/2016/7982365 10.1617/s11527-008-9412-8 10.2139/ssrn.4077556 10.1016/j.conbuildmat.2021.122792 10.1016/j.conbuildmat.2020.121808 10.1007/978-1-4842-4149-3 10.1016/j.conbuildmat.2017.03.103 10.3390/polym11091404 10.1016/j.conbuildmat.2019.07.158 10.3390/min12091126 10.1016/j.conbuildmat.2016.12.156 10.1016/j.conbuildmat.2015.06.044 10.1617/s11527-021-01876-7 10.1017/S143192761900134X 10.1016/j.conbuildmat.2021.124305 10.1016/j.conbuildmat.2018.01.141 10.1016/j.conbuildmat.2012.08.007 10.1016/j.conbuildmat.2020.122060 10.1016/j.conbuildmat.2022.126800 10.1061/(ASCE)0887-3801(2009)23:6(340) 10.1016/j.conbuildmat.2020.119379 10.1016/j.conbuildmat.2021.125729 10.1016/j.conbuildmat.2022.127010 10.1016/j.conbuildmat.2020.121031 10.1016/j.conbuildmat.2020.118272 10.1080/10298436.2011.566613 10.1007/978-1-4842-3096-1 |
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| Keywords | Aggregate morphology Discrete element modeling Image-processed algorithms Virtual rutting test model Permanent deformation |
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| References | Zhang, Chen, Li, Wang, Si, Wang (b0010) 2022; 325 Zhang (b0190) 2006 Darabi, Kola, Little, Rahmani, Garg (b0025) 2019; 145 Yan, You, Wang (b0215) 2019; 11 Ministry of Transportation of the People’s Republic of China. JTGF40-2004 Technical specifications for highway asphalt pavement construction [S]. Beijing: People’s Traffic Publishing House, 2004. ISBN 7-114-05328-2. Wang, Huang, Cheng, Ye (b0060) 2021; 272 Chang, Pei, Zhang, Xing, Xu, Xiong, Sun (b0165) 2020; 22 Ghafoori Roozbahany, Partl, Jelagin (b0035) 2019; 227 Correia S, Luck S. Digitizing Historical Balance Sheet Data: A Practitioner's Guide[J]. arXiv preprint arXiv:2204.00052, 2022. doi: 10.48550/arXiv.2204.00052. Wang, Zhou, Huang, Dong (b0090) 2021; 272 Zhang, Bao (b0180) 2022; 315 Xue, Xu, Pei, Zhang, Li (b0005) 2021; 267 Al Khateeb, Anupam, Erkens, Scarpas (b0080) 2021; 301 Zhang, Wang, Gao, You, Yang (b0205) 2017; 144 Wang, Wang (b0015) 2014; 7 Zhang, Liu, You (b0070) 2022; 55 Zhang, Liu, Wang, Liu, Wang, Yu, Wen (b0125) 2022; 12 Abu Al-Rub, Darabi, Huang, Masad, Little (b0185) 2012; 13 Zhang, Ma, Ding, Chen, Huang, Xu (b0095) 2018; 166 Kusumawardani, D. M., and Wong, Y. D. (2020). The Influence of Aggregate Shape Properties on Aggregate Packing in Porous Asphalt Mixture (PAM). Construction Building Mater. 255, 119379. https://doi:10.1016/j.conbuildmat.2020. 119379. Liu, Han, Zhao (b0050) 2020; 2020 Shi, Wang, Xiao, Qin (b0110) 2020; 232 Li, Li, Han, Du, Mohammed, Wang, Huang (b0135) 2022; 327 Zhang, Walubita, Faruk, Karki, Simate (b0195) 2015; 94 Zhang, Liu, Wang, Liu, Wang, Yu, Wen (b0150) 2022; 12 Liu, You (b0140) 2009; 23 Zhou, Chen, Ge, Jin, You (b0055) 2020; 244 Singh, H. (2019). Practical Machine Learning and Image Processing. https://doi:10.1007/978-1-4842-4149-3. Nian, Ge, Li, Wang, Mao (b0065) 2021; 283 Yuan, Wang, Xiao, Amirkhanian, Wang, Xu (b0200) 2017; 134 Chang, Pei, Zhang, Xing, Xu, Xiong, Sun (b0045) 2020; 22 Kim, Wagoner, Buttlar (b0175) 2009; 42 Chen, X., Ai, C., Du, J., He, H., & Huang, Y. (2021). Effect of gradation segregation on low-temperature crack resistance of asphalt pavement using 3D DEM. Construction and Building Materials, 274, 122060. https://doi:10.1016/j.conbuildmat.2020.12206. Liu, You, Zhao (b0020) 2012; 37 Liu, You (b0145) 2011; 137 Pattanayak S . Pro Deep Learning with TensorFlow: A Mathematical Approach to Advanced Artificial Intelligence in Python[M]. 2017. ISBN: 9781484230954, 9781484230961. Yao, Xu, Liu (b0030) 2022 Itasca Consulting Group. Particle flow code in two dimension (PFC 2D) v5.0 (Version 5.0). Minneapolis, 2017. Meyer, Dellby, Hachtel, Lovejoy, Mittelberger, Krivanek (b0115) 2019; 25 Wang, Bu, Wang, Yang, You (b0210) 2016; 2016 Correia S, Luck S. Digitizing Historical Balance Sheet Data: A Practitioner's Guide[J]. Available at SSRN 4077556. http://dx.doi.org/10.2139/ssrn.4077556. Abu Al-Rub (10.1016/j.conbuildmat.2023.131778_b0185) 2012; 13 Liu (10.1016/j.conbuildmat.2023.131778_b0050) 2020; 2020 10.1016/j.conbuildmat.2023.131778_b0040 10.1016/j.conbuildmat.2023.131778_b0160 Zhang (10.1016/j.conbuildmat.2023.131778_b0195) 2015; 94 Zhang (10.1016/j.conbuildmat.2023.131778_b0095) 2018; 166 Yuan (10.1016/j.conbuildmat.2023.131778_b0200) 2017; 134 Al Khateeb (10.1016/j.conbuildmat.2023.131778_b0080) 2021; 301 Wang (10.1016/j.conbuildmat.2023.131778_b0060) 2021; 272 Li (10.1016/j.conbuildmat.2023.131778_b0135) 2022; 327 Chang (10.1016/j.conbuildmat.2023.131778_b0045) 2020; 22 Zhang (10.1016/j.conbuildmat.2023.131778_b0070) 2022; 55 Yao (10.1016/j.conbuildmat.2023.131778_b0030) 2022 Wang (10.1016/j.conbuildmat.2023.131778_b0090) 2021; 272 Nian (10.1016/j.conbuildmat.2023.131778_b0065) 2021; 283 Shi (10.1016/j.conbuildmat.2023.131778_b0110) 2020; 232 Darabi (10.1016/j.conbuildmat.2023.131778_b0025) 2019; 145 Zhang (10.1016/j.conbuildmat.2023.131778_b0190) 2006 Xue (10.1016/j.conbuildmat.2023.131778_b0005) 2021; 267 Liu (10.1016/j.conbuildmat.2023.131778_b0145) 2011; 137 10.1016/j.conbuildmat.2023.131778_b0155 Kim (10.1016/j.conbuildmat.2023.131778_b0175) 2009; 42 10.1016/j.conbuildmat.2023.131778_b0075 10.1016/j.conbuildmat.2023.131778_b0130 Zhang (10.1016/j.conbuildmat.2023.131778_b0125) 2022; 12 Zhou (10.1016/j.conbuildmat.2023.131778_b0055) 2020; 244 Chang (10.1016/j.conbuildmat.2023.131778_b0165) 2020; 22 10.1016/j.conbuildmat.2023.131778_b0170 Wang (10.1016/j.conbuildmat.2023.131778_b0210) 2016; 2016 Zhang (10.1016/j.conbuildmat.2023.131778_b0150) 2022; 12 Zhang (10.1016/j.conbuildmat.2023.131778_b0010) 2022; 325 Liu (10.1016/j.conbuildmat.2023.131778_b0020) 2012; 37 Meyer (10.1016/j.conbuildmat.2023.131778_b0115) 2019; 25 Liu (10.1016/j.conbuildmat.2023.131778_b0140) 2009; 23 Zhang (10.1016/j.conbuildmat.2023.131778_b0205) 2017; 144 Ghafoori Roozbahany (10.1016/j.conbuildmat.2023.131778_b0035) 2019; 227 Wang (10.1016/j.conbuildmat.2023.131778_b0015) 2014; 7 Zhang (10.1016/j.conbuildmat.2023.131778_b0180) 2022; 315 Yan (10.1016/j.conbuildmat.2023.131778_b0215) 2019; 11 10.1016/j.conbuildmat.2023.131778_b0220 10.1016/j.conbuildmat.2023.131778_b0120 |
| References_xml | – reference: Ministry of Transportation of the People’s Republic of China. JTGF40-2004 Technical specifications for highway asphalt pavement construction [S]. Beijing: People’s Traffic Publishing House, 2004. ISBN 7-114-05328-2. – volume: 55 start-page: 1 year: 2022 end-page: 17 ident: b0070 article-title: Microstructural behavior of the low-temperature cracking and self-healing of asphalt mixtures based on the discrete element method[J] publication-title: Mater. Struct. – volume: 301 start-page: 124305 year: 2021 ident: b0080 article-title: Micromechanical simulation of porous asphalt mixture compaction using discrete element method (DEM) publication-title: Constr. Build. Mater. – volume: 2016 start-page: 1 year: 2016 end-page: 9 ident: b0210 article-title: The effect of morphological characteristic of coarse aggregates measured with fractal dimension on asphalt mixture’s high-temperature performance publication-title: Adv. Mater. Sci. Eng. – volume: 2020 start-page: 1 year: 2020 end-page: 14 ident: b0050 article-title: Quantitative investigation of aggregate skeleton force chains of asphalt mixtures based on computational granular mechanics publication-title: Adv. Civil Eng. – volume: 94 start-page: 218 year: 2015 end-page: 227 ident: b0195 article-title: Use of the MSCR test to characterize the asphalt binder properties relative to HMA rutting performance–A laboratory study publication-title: Constr. Build. Mater. – reference: Kusumawardani, D. M., and Wong, Y. D. (2020). The Influence of Aggregate Shape Properties on Aggregate Packing in Porous Asphalt Mixture (PAM). Construction Building Mater. 255, 119379. https://doi:10.1016/j.conbuildmat.2020. 119379. – volume: 11 start-page: 1404 year: 2019 ident: b0215 article-title: High-temperature performance of polymer-modified asphalt mixes: preliminary evaluation of the usefulness of standard technical index in polymer-modified asphalt[J] publication-title: Polymers – volume: 227 year: 2019 ident: b0035 article-title: Modelling the Flow of asphalt under simulated compaction using discrete element publication-title: Constr. Build. Mater. – volume: 25 start-page: 122 year: 2019 end-page: 123 ident: b0115 article-title: Nion swift: Open source image processing software for instrument control, data acquisition, organization, visualization, and analysis using python publication-title: Microscopy and Microanalysis – volume: 325 start-page: 126800 year: 2022 ident: b0010 article-title: Micromechanical analysis of the rutting evolution of asphalt pavement under temperature–stress coupling based on the discrete element method[J] publication-title: Constr. Build. Mater. – reference: Chen, X., Ai, C., Du, J., He, H., & Huang, Y. (2021). Effect of gradation segregation on low-temperature crack resistance of asphalt pavement using 3D DEM. Construction and Building Materials, 274, 122060. https://doi:10.1016/j.conbuildmat.2020.12206. – volume: 232 start-page: 117263 year: 2020 ident: b0110 article-title: Meso-structural characteristics of asphalt mixture main skeleton based on meso-scale analysis[J] publication-title: Constr. Build. Mater. – volume: 267 start-page: 121031 year: 2021 ident: b0005 article-title: Investigation on the micromechanical response of asphalt mixture during permanent deformation based on 3D virtual wheel tracking test[J] publication-title: Constr. Build. Mater. – volume: 7 start-page: 178 year: 2014 end-page: 184 ident: b0015 article-title: Analysis of surface initiated crack propagation in flexible pavements using extended finite element method and cohesive zone model publication-title: Int. J. Pavement Res. Technol. – volume: 166 start-page: 334 year: 2018 end-page: 344 ident: b0095 article-title: Impacts of air-void structures on the rutting tests of asphalt concrete based on discretized emulation[J] publication-title: Constr. Build. Mater. – volume: 134 start-page: 694 year: 2017 end-page: 702 ident: b0200 article-title: Impacts of multiple-polymer components on high temperature performance characteristics of airfield modified binders publication-title: Constr. Build. Mater. – volume: 12 start-page: 1126 year: 2022 ident: b0150 article-title: An Improved python-based image processing algorithm for flotation foam analysis[J] publication-title: Minerals – volume: 42 start-page: 677 year: 2009 end-page: 689 ident: b0175 article-title: Micromechanical fracture modeling of asphalt concrete using a single-edge notched beam test[J] publication-title: Materials and Structures – volume: 12 start-page: 1126 year: 2022 ident: b0125 article-title: An Improved python-based image processing algorithm for flotation foam analysis[J] publication-title: Minerals – volume: 137 start-page: 294 year: 2011 end-page: 303 ident: b0145 article-title: Discrete-element modeling: impacts of aggregate sphericity, orientation, and angularity on creep stiffness of idealized asphalt mixtures publication-title: J. Eng. Mech. – volume: 272 start-page: 121808 year: 2021 ident: b0090 article-title: Investigation of asphalt mixture permanent deformation based on three-dimensional discrete element method[J] publication-title: Constr. Build. Mater. – reference: Itasca Consulting Group. Particle flow code in two dimension (PFC 2D) v5.0 (Version 5.0). Minneapolis, 2017. – volume: 315 year: 2022 ident: b0180 article-title: Determination of asphalt mixture’s viscoelastic constitutive parameters for pavement response analysis using dynamic modulus transformation publication-title: Constr. Build. Mater. – start-page: 236 year: 2022: ident: b0030 article-title: Literature review on the discrete element method (DEM) in asphalt mixtures[J] publication-title: Front. Mater. – volume: 327 start-page: 127010 year: 2022 ident: b0135 article-title: A novel multiphase segmentation method for interpreting the 3D mesoscopic structure of asphalt mixture using CT images publication-title: Constr. Build. Mater. – year: 2006 ident: b0190 article-title: Viscoelastic mechanics principle of asphalt and asphalt mixture – volume: 283 year: 2021 ident: b0065 article-title: Improved Discrete element numerical simulation and experiment on low-temperature anti-cracking performance of asphalt mixture based on PFC2D publication-title: Constr. Build. Mater. – volume: 244 start-page: 118272 year: 2020 ident: b0055 article-title: Investigation of asphalt mixture internal structure consistency in accelerated discrete element models[J] publication-title: Constr. Build. Mater. – volume: 23 start-page: 340 year: 2009 end-page: 347 ident: b0140 article-title: Visualization and simulation of asphalt concrete with randomly generated three-dimensional models publication-title: J. Comput. Civ. Eng. – reference: Correia S, Luck S. Digitizing Historical Balance Sheet Data: A Practitioner's Guide[J]. arXiv preprint arXiv:2204.00052, 2022. doi: 10.48550/arXiv.2204.00052. – volume: 37 start-page: 775 year: 2012 end-page: 782 ident: b0020 article-title: Three-dimensional discrete element modeling of asphalt concrete: size effects of elements publication-title: Constr. Build. Mater. – volume: 22 year: 2020 ident: b0045 article-title: Quantitative distribution characteristics of force chains for asphalt mixtures with three skeleton structures using discrete element method publication-title: Granular Matter – volume: 22 year: 2020 ident: b0165 article-title: Quantitative distribution characteristics of force chains for asphalt mixtures with three skeleton structures using discrete element method[J] publication-title: Granular Matter – volume: 144 start-page: 99 year: 2017 end-page: 105 ident: b0205 article-title: High temperature performance of SBS modified bio-asphalt publication-title: Constr. Build. Mater. – reference: Correia S, Luck S. Digitizing Historical Balance Sheet Data: A Practitioner's Guide[J]. Available at SSRN 4077556. http://dx.doi.org/10.2139/ssrn.4077556. – reference: Pattanayak S . Pro Deep Learning with TensorFlow: A Mathematical Approach to Advanced Artificial Intelligence in Python[M]. 2017. ISBN: 9781484230954, 9781484230961. – volume: 145 year: 2019 ident: b0025 article-title: Predicting rutting performance of flexible airfield pavements using a coupled viscoelastic-viscoplastic-cap constitutive relationship[J] publication-title: J. Eng. Mech. – reference: Singh, H. (2019). Practical Machine Learning and Image Processing. https://doi:10.1007/978-1-4842-4149-3. – volume: 272 year: 2021 ident: b0060 article-title: Mesoscopic creep mechanism of asphalt mixture based on discrete element method publication-title: Constr. Build. Mater. – volume: 13 start-page: 322 year: 2012 end-page: 338 ident: b0185 article-title: Comparing finite element and constitutive modelling techniques for predicting rutting of asphalt pavements[J] publication-title: Int. J. Pavement Eng. – volume: 22 issue: 4 year: 2020 ident: 10.1016/j.conbuildmat.2023.131778_b0165 article-title: Quantitative distribution characteristics of force chains for asphalt mixtures with three skeleton structures using discrete element method[J] publication-title: Granular Matter doi: 10.1007/s10035-020-01059-1 – volume: 22 issue: 4 year: 2020 ident: 10.1016/j.conbuildmat.2023.131778_b0045 article-title: Quantitative distribution characteristics of force chains for asphalt mixtures with three skeleton structures using discrete element method publication-title: Granular Matter doi: 10.1007/s10035-020-01059-1 – volume: 232 start-page: 117263 year: 2020 ident: 10.1016/j.conbuildmat.2023.131778_b0110 article-title: Meso-structural characteristics of asphalt mixture main skeleton based on meso-scale analysis[J] publication-title: Constr. Build. Mater. doi: 10.1016/j.conbuildmat.2019.117263 – volume: 2016 start-page: 1 year: 2016 ident: 10.1016/j.conbuildmat.2023.131778_b0210 article-title: The effect of morphological characteristic of coarse aggregates measured with fractal dimension on asphalt mixture’s high-temperature performance publication-title: Adv. Mater. Sci. Eng. doi: 10.1155/2016/7982365 – ident: 10.1016/j.conbuildmat.2023.131778_b0220 – volume: 42 start-page: 677 issue: 5 year: 2009 ident: 10.1016/j.conbuildmat.2023.131778_b0175 article-title: Micromechanical fracture modeling of asphalt concrete using a single-edge notched beam test[J] publication-title: Materials and Structures doi: 10.1617/s11527-008-9412-8 – ident: 10.1016/j.conbuildmat.2023.131778_b0160 doi: 10.2139/ssrn.4077556 – volume: 283 year: 2021 ident: 10.1016/j.conbuildmat.2023.131778_b0065 article-title: Improved Discrete element numerical simulation and experiment on low-temperature anti-cracking performance of asphalt mixture based on PFC2D publication-title: Constr. Build. Mater. doi: 10.1016/j.conbuildmat.2021.122792 – volume: 272 start-page: 121808 year: 2021 ident: 10.1016/j.conbuildmat.2023.131778_b0090 article-title: Investigation of asphalt mixture permanent deformation based on three-dimensional discrete element method[J] publication-title: Constr. Build. Mater. doi: 10.1016/j.conbuildmat.2020.121808 – ident: 10.1016/j.conbuildmat.2023.131778_b0120 doi: 10.1007/978-1-4842-4149-3 – start-page: 236 year: 2022 ident: 10.1016/j.conbuildmat.2023.131778_b0030 article-title: Literature review on the discrete element method (DEM) in asphalt mixtures[J] publication-title: Front. Mater. – volume: 272 year: 2021 ident: 10.1016/j.conbuildmat.2023.131778_b0060 article-title: Mesoscopic creep mechanism of asphalt mixture based on discrete element method publication-title: Constr. Build. Mater. – year: 2006 ident: 10.1016/j.conbuildmat.2023.131778_b0190 – volume: 137 start-page: 294 issue: 4 year: 2011 ident: 10.1016/j.conbuildmat.2023.131778_b0145 article-title: Discrete-element modeling: impacts of aggregate sphericity, orientation, and angularity on creep stiffness of idealized asphalt mixtures publication-title: J. Eng. Mech. – volume: 144 start-page: 99 year: 2017 ident: 10.1016/j.conbuildmat.2023.131778_b0205 article-title: High temperature performance of SBS modified bio-asphalt publication-title: Constr. Build. Mater. doi: 10.1016/j.conbuildmat.2017.03.103 – volume: 145 issue: 2 year: 2019 ident: 10.1016/j.conbuildmat.2023.131778_b0025 article-title: Predicting rutting performance of flexible airfield pavements using a coupled viscoelastic-viscoplastic-cap constitutive relationship[J] publication-title: J. Eng. Mech. – volume: 2020 start-page: 1 year: 2020 ident: 10.1016/j.conbuildmat.2023.131778_b0050 article-title: Quantitative investigation of aggregate skeleton force chains of asphalt mixtures based on computational granular mechanics publication-title: Adv. Civil Eng. – volume: 11 start-page: 1404 issue: 9 year: 2019 ident: 10.1016/j.conbuildmat.2023.131778_b0215 article-title: High-temperature performance of polymer-modified asphalt mixes: preliminary evaluation of the usefulness of standard technical index in polymer-modified asphalt[J] publication-title: Polymers doi: 10.3390/polym11091404 – volume: 227 year: 2019 ident: 10.1016/j.conbuildmat.2023.131778_b0035 article-title: Modelling the Flow of asphalt under simulated compaction using discrete element publication-title: Constr. Build. Mater. doi: 10.1016/j.conbuildmat.2019.07.158 – volume: 12 start-page: 1126 issue: 9 year: 2022 ident: 10.1016/j.conbuildmat.2023.131778_b0150 article-title: An Improved python-based image processing algorithm for flotation foam analysis[J] publication-title: Minerals doi: 10.3390/min12091126 – ident: 10.1016/j.conbuildmat.2023.131778_b0170 – volume: 134 start-page: 694 year: 2017 ident: 10.1016/j.conbuildmat.2023.131778_b0200 article-title: Impacts of multiple-polymer components on high temperature performance characteristics of airfield modified binders publication-title: Constr. Build. Mater. doi: 10.1016/j.conbuildmat.2016.12.156 – ident: 10.1016/j.conbuildmat.2023.131778_b0130 doi: 10.2139/ssrn.4077556 – volume: 94 start-page: 218 year: 2015 ident: 10.1016/j.conbuildmat.2023.131778_b0195 article-title: Use of the MSCR test to characterize the asphalt binder properties relative to HMA rutting performance–A laboratory study publication-title: Constr. Build. Mater. doi: 10.1016/j.conbuildmat.2015.06.044 – volume: 55 start-page: 1 issue: 1 year: 2022 ident: 10.1016/j.conbuildmat.2023.131778_b0070 article-title: Microstructural behavior of the low-temperature cracking and self-healing of asphalt mixtures based on the discrete element method[J] publication-title: Mater. Struct. doi: 10.1617/s11527-021-01876-7 – volume: 25 start-page: 122 issue: S2 year: 2019 ident: 10.1016/j.conbuildmat.2023.131778_b0115 article-title: Nion swift: Open source image processing software for instrument control, data acquisition, organization, visualization, and analysis using python publication-title: Microscopy and Microanalysis doi: 10.1017/S143192761900134X – volume: 301 start-page: 124305 year: 2021 ident: 10.1016/j.conbuildmat.2023.131778_b0080 article-title: Micromechanical simulation of porous asphalt mixture compaction using discrete element method (DEM) publication-title: Constr. Build. Mater. doi: 10.1016/j.conbuildmat.2021.124305 – volume: 166 start-page: 334 year: 2018 ident: 10.1016/j.conbuildmat.2023.131778_b0095 article-title: Impacts of air-void structures on the rutting tests of asphalt concrete based on discretized emulation[J] publication-title: Constr. Build. Mater. doi: 10.1016/j.conbuildmat.2018.01.141 – volume: 37 start-page: 775 year: 2012 ident: 10.1016/j.conbuildmat.2023.131778_b0020 article-title: Three-dimensional discrete element modeling of asphalt concrete: size effects of elements publication-title: Constr. Build. Mater. doi: 10.1016/j.conbuildmat.2012.08.007 – ident: 10.1016/j.conbuildmat.2023.131778_b0075 doi: 10.1016/j.conbuildmat.2020.122060 – volume: 325 start-page: 126800 year: 2022 ident: 10.1016/j.conbuildmat.2023.131778_b0010 article-title: Micromechanical analysis of the rutting evolution of asphalt pavement under temperature–stress coupling based on the discrete element method[J] publication-title: Constr. Build. Mater. doi: 10.1016/j.conbuildmat.2022.126800 – volume: 23 start-page: 340 issue: 6 year: 2009 ident: 10.1016/j.conbuildmat.2023.131778_b0140 article-title: Visualization and simulation of asphalt concrete with randomly generated three-dimensional models publication-title: J. Comput. Civ. Eng. doi: 10.1061/(ASCE)0887-3801(2009)23:6(340) – ident: 10.1016/j.conbuildmat.2023.131778_b0040 doi: 10.1016/j.conbuildmat.2020.119379 – volume: 315 year: 2022 ident: 10.1016/j.conbuildmat.2023.131778_b0180 article-title: Determination of asphalt mixture’s viscoelastic constitutive parameters for pavement response analysis using dynamic modulus transformation publication-title: Constr. Build. Mater. doi: 10.1016/j.conbuildmat.2021.125729 – volume: 327 start-page: 127010 year: 2022 ident: 10.1016/j.conbuildmat.2023.131778_b0135 article-title: A novel multiphase segmentation method for interpreting the 3D mesoscopic structure of asphalt mixture using CT images publication-title: Constr. Build. Mater. doi: 10.1016/j.conbuildmat.2022.127010 – volume: 267 start-page: 121031 year: 2021 ident: 10.1016/j.conbuildmat.2023.131778_b0005 article-title: Investigation on the micromechanical response of asphalt mixture during permanent deformation based on 3D virtual wheel tracking test[J] publication-title: Constr. Build. Mater. doi: 10.1016/j.conbuildmat.2020.121031 – volume: 244 start-page: 118272 year: 2020 ident: 10.1016/j.conbuildmat.2023.131778_b0055 article-title: Investigation of asphalt mixture internal structure consistency in accelerated discrete element models[J] publication-title: Constr. Build. Mater. doi: 10.1016/j.conbuildmat.2020.118272 – volume: 13 start-page: 322 issue: 4 year: 2012 ident: 10.1016/j.conbuildmat.2023.131778_b0185 article-title: Comparing finite element and constitutive modelling techniques for predicting rutting of asphalt pavements[J] publication-title: Int. J. Pavement Eng. doi: 10.1080/10298436.2011.566613 – volume: 12 start-page: 1126 issue: 9 year: 2022 ident: 10.1016/j.conbuildmat.2023.131778_b0125 article-title: An Improved python-based image processing algorithm for flotation foam analysis[J] publication-title: Minerals doi: 10.3390/min12091126 – volume: 7 start-page: 178 issue: 3 year: 2014 ident: 10.1016/j.conbuildmat.2023.131778_b0015 article-title: Analysis of surface initiated crack propagation in flexible pavements using extended finite element method and cohesive zone model publication-title: Int. J. Pavement Res. Technol. – ident: 10.1016/j.conbuildmat.2023.131778_b0155 doi: 10.1007/978-1-4842-3096-1 |
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| SubjectTerms | Aggregate morphology Discrete element modeling Image-processed algorithms Permanent deformation Virtual rutting test model |
| Title | Study on the micromechanical response during permanent deformation of asphalt mixtures by discrete element modeling with real aggregate morphology |
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