Volume 26 Issue 8
Aug.  2026
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Article Contents
DAI Xuan, WANG Cheng-zhi, CAI Jing, QIAO Yang, LIU Lei. Evaluation method for effect of subgrade weak zone distribution on mechanical performance of pavement based on BIM and intelligent compaction[J]. Journal of Traffic and Transportation Engineering, 2026, 26(8): 202-216. doi: 10.19818/j.cnki.1671-1637.2026.323
Citation: DAI Xuan, WANG Cheng-zhi, CAI Jing, QIAO Yang, LIU Lei. Evaluation method for effect of subgrade weak zone distribution on mechanical performance of pavement based on BIM and intelligent compaction[J]. Journal of Traffic and Transportation Engineering, 2026, 26(8): 202-216. doi: 10.19818/j.cnki.1671-1637.2026.323

Evaluation method for effect of subgrade weak zone distribution on mechanical performance of pavement based on BIM and intelligent compaction

doi: 10.19818/j.cnki.1671-1637.2026.323
Funds:

Fundamental Research Funds for the Central Universities 3122026054

Tianjin Enterprise Science and Technology Special Commissioner Project 25YDTPJC00370

Tianjin Transportation Science and Technology Project 2025-70

More Information
  • Corresponding author: CAI Jing, professor, PhD, E-mail: caijing75@163.com
  • Received Date: 2025-12-30
  • Accepted Date: 2026-05-27
  • Rev Recd Date: 2026-03-27
  • Publish Date: 2026-08-28
  • To quantify the spatial distribution characteristics of compactness and their effects on pavement mechanical performance, an airport intelligent compaction project was analyzed, an application framework for the information fusion between building information model (BIM) and intelligent compaction was established, and a compaction weakness composite index for evaluating the spatial distribution of subgrade compaction was proposed. Through California bearing ratio tests on subgrade soil, the relationship between the compaction meter value and the subgrade reaction modulus was analyzed. A three-dimensional finite element numerical analysis model was established to investigate the effect of the spatial distribution of compactness on the mechanical performance of airport pavement. Finally, an integrated analysis method for intelligent compaction and pavement structure mechanical performance based on the BIM model was developed. The results indicate that under the same area ratio of compaction weak zones, the adjacency index of weak zones can differ by 2.5 times; the compaction weakness composite index can reflect the comprehensive effect of compaction pass rate, compaction weakness degree, and spatial distribution of weak zones; the compaction weakness composite index increases with the increase of the area ratio of compaction weak zones, and the degree of dispersion also gradually increases. Furthermore, the subgrade reaction modulus exhibits a power exponential growth relationship with the compaction meter value. The maximum flexural-tensile stress of the pavement increases with the increase of the compaction weakness composite index, and this relationship can be described by a cubic polynomial. Through parametric BIM modeling, attribute information extension, visual programming, fusion of intelligent compaction data and BIM data, and integrated analysis of BIM and mechanical model, the dynamic analysis of pavement structure stress and service life during the operation period can be realized based on intelligent compaction data, pavement structure geometric data, and aircraft load data, thereby improving the subgrade compaction level. The research results provide a reference for expanding the value of intelligent compaction data and realizing the integrated analysis of intelligent construction and operation-maintenance of airport pavement engineering.

     

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  • [1]
    YOU Qing-long, LING Jian-ming, YUAN Jie, et al. Finite element model of flexible airport pavement structure for large aircraft[J]. Journal of Traffic and Transportation Engineering, 2012, 12(2): 18-23. doi: 10.19818/j.cnki.1671-1637.2012.02.003
    [2]
    BAI Tao, AN YI-ming, JIN Guang-lai, et al. Improved algorithm for lightweight identification of 3D GPR images of hidden road defects[J]. Journal of Traffic and Transportation Engineering, 2025, 25(4): 42-57.
    [3]
    LIU Dong-hai, LI Xin, LIU Qiang, et al. Fast detection method for low-bearing-capacity area of high-filled subgrade based on real-time compaction monitoring[J]. China Journal of Highway and Transport, 2023, 36(4): 38-47.
    [4]
    YUAN D L, LI S Y, REN L W. Evaluation study on the application effect of intelligent construction technology in the construction process[J]. Sustainability, 2024, 16(3): 1071. doi: 10.3390/su16031071
    [5]
    QIAN Jin-song, PANG Jin-song, FEI Lun-lin, et al. A review of research progress on intelligent compaction measurement values for subgrade[J]. Journal of Tongji University (Natural Science), 2024, 52(3): 388-397.
    [6]
    QIAN Jin-song, YANG Yi-cheng, LING Jian-ming. Geostatistical analysis and evaluation of subgrade spatial uniformity based on intelligent compaction technology[J]. Journal of Jilin University (Engineering and Technology Edition), 2024, 54(10): 2859-2869.
    [7]
    WANG X F, CHENG C, LI J L, et al. Automated monitoring and evaluation of highway subgrade compaction quality using artificial neural networks[J]. Automation in Construction, 2023, 145: 104663. doi: 10.1016/j.autcon.2022.104663
    [8]
    WANG N, MA T, CHEN F, et al. Compaction quality assessment of cement stabilized gravel using intelligent compaction technology: A case study[J]. Construction and Building Materials, 2022, 345: 128100. doi: 10.1016/j.conbuildmat.2022.128100
    [9]
    ZHANG Jun-hui, LIU Ke, YANG Hao et al. A review of the intelligent compaction for highway subgrade[J/OL]. China Journal of Highway and Transport, 2026-02-09. https://link.cnki.net/urlid/61.1313.u.20260206.1611.004.
    [10]
    WANG X, DONG Q, ZHAO X K, et al. Prediction of remaining service life of cement concrete pavement in airfield runway[J]. Road Materials and Pavement Design, 2024, 25(1): 150-167. doi: 10.1080/14680629.2023.2199878
    [11]
    ANJAN KUMAR S, ALDOURI R, NAZARIAN S, et al. Accelerated assessment of quality of compacted geomaterials with intelligent compaction technology[J]. Construction and Building Materials, 2016, 113: 824-834. doi: 10.1016/j.conbuildmat.2016.03.117
    [12]
    MEEHAN C L, CACCIOLA D V, TEHRANI F S, et al. Assessing soil compaction using continuous compaction control and location-specific in situ tests[J]. Automation in Construction, 2017, 73: 31-44. doi: 10.1016/j.autcon.2016.08.017
    [13]
    TANG F L, MA T, GUAN Y S, et al. Parametric modeling and structure verification of asphalt pavement based on BIM-ABAQUS[J]. Automation in Construction, 2020, 111: 103066. doi: 10.1016/j.autcon.2019.103066
    [14]
    YOU Qing-long, HUANG Zhi-yi, MA Jing-lian, et al. Mechanical response of asphalt pavement structure under non-uniform aircraft wheel load[J]. Journal of Vibration and Shock, 2023, 42(1): 292-300.
    [15]
    TANG F L, MA T, ZHANG J H, et al. Integrating three-dimensional road design and pavement structure analysis based on BIM[J]. Automation in Construction, 2020, 113: 103152. doi: 10.1016/j.autcon.2020.103152
    [16]
    WEI B L, GUO C C, DENG M Y. An innovation of the Markov probability model for predicting the remaining service life of civil airport rigid pavements[J]. Materials, 2022, 15(17): 6082. doi: 10.3390/ma15176082
    [17]
    WANG Guan-hu, CAI Liang-cai, SHAO Bin, et al. Modified gray prediction model of service life for airport cement concrete pavement[J]. Journal of Traffic and Transportation Engineering, 2009, 9(3): 45-48. doi: 10.19818/j.cnki.1671-1637.2009.03.008
    [18]
    WANG Y D, ZHAO J, GAO N, et al. A dynamic evaluation method for the development of intelligent construction technology in the construction field based on structural equation model-system dynamics model[J]. Buildings, 2024, 14(2): 417. doi: 10.3390/buildings14020417
    [19]
    CAI Liang-cai, WANG Hai-fu, ZHANG Luo-li, et al. Prediction model of remaining life for airport pavement based on cumulative damage[J]. Journal of Traffic and Transportation Engineering, 2014, 14(4): 1-6.
    [20]
    WANG Meng, YU Qun-ding, XIAO Yuan-jie, et al. Experimental investigation of macro-and meso-scale compaction characteristics of unbound permeable base materials[J]. Chinese Journal of Rock Mechanics and Engineering, 2022, 41(8): 1701-1716.
    [21]
    XU Zhao, ZHAN Xin-kui, ZHANG Xing. Application of BIM technology in the manufacturing stage of precast elements of prefabricated construction[J]. Journal of Graphics, 2018, 39(6): 1148-1155.
    [22]
    XU Zhao, KANG Rui, SUN Ning. IFC-based point-cloud information processing method for structural elements[J]. Journal of Southeast University (Natural Science Edition), 2018, 48(6): 1068-1075.
    [23]
    CAI Jing, WANG Han-xue, DAI Xuan, et al. Storage and transfer method of airport pavement structure information model based on IFC standard[J]. Journal of Beijing University of Aeronautics and Astronautics, 2024, 50(10): 3042-3053.
    [24]
    LUO Dan, HUANG Xiao-qin, LENG Fei-xian, et al. Applications and challenges of digital twin in intelligent construction of transportation infrastructure[J]. Journal of Traffic and Transportation Engineering, 2025, 25(3): 33-64.
    [25]
    DAI Xuan, FENG Meng, CAI Jing, et al. Digital twin model of cracks development on airport rigid pavement and its application[J/OL]. Journal of Beijing University of Aeronautics and Astronautics, 2026-01-05. https://doi.org/10.13700/j.bh.1001-5965.2025.0704.
    [26]
    YAN Y, NI L, SUN L J, et al. Digital twin enabling technologies for advancing road engineering and lifecycle applications[J]. Engineering, 2025, 44(1): 184-206.
    [27]
    MENG W, ZHANG H, AI Q S, et al. CBR-RBR fusion based parametric rapid construction method of bridge BIM model[J]. Advanced Engineering Informatics, 2023, 57: 102086. doi: 10.1016/j.aei.2023.102086
    [28]
    BARAZZETTI L, BANFI F, BRUMANA R, et al. Creation of parametric BIM objects from point clouds using nurbs[J]. The Photogrammetric Record, 2015, 30(152): 339-362. doi: 10.1111/phor.12122
    [29]
    SONG H H, YANG G, LI H J, et al. Digital twin enhanced BIM to shape full life cycle digital transformation for bridge engineering[J]. Automation in Construction, 2023, 147: 104736. doi: 10.1016/j.autcon.2022.104736
    [30]
    LIU P. Mountain rainfall estimation and BIM technology site safety management based on internet of things[J]. Mobile Information Systems, 2021, 2021(1): 1017200.
    [31]
    XU Z, ZHANG L, LI H, et al. Combining IFC and 3D tiles to create 3D visualization for building information modeling[J]. Automation in Construction, 2020, 109: 102995. doi: 10.1016/j.autcon.2019.102995
    [32]
    XU Zhao, XU Xia-yan, LI Qi-ming, et al. Combining WebGL and IFC to create 3D visualization for building information models[J]. Journal of Southeast University (Natural Science Edition), 2016, 46(2): 444-449.
    [33]
    ZHANG Jian-ping, YU Fang-qiang, LI Ding. A modeling technology of integrated BIM for building lifecycle[J]. Journal of Information Technology in Civil Engineering and Architecture, 2012, 4(1): 6-14.
    [34]
    LIU D H, LIN M, LI S. Real-time quality monitoring and control of highway compaction[J]. Automation in Construction, 2016, 62: 114-123. doi: 10.1016/j.autcon.2015.11.007
    [35]
    CHEN Li-man, ZHONG Li-nan. Adjacent connected sums and toms actions[J]. Acta Scientiarum Naturalium Universitatis Nankaiensis (Natural Science Edition), 2017, 50(5): 50-55.
    [36]
    LI T G, KONG L W, LIU B H. The California bearing ratio and pore structure characteristics of weakly expansive soil in frozen areas[J]. Applied Sciences, 2020, 10(21): 7576. doi: 10.3390/app10217576
    [37]
    POWELL W D, POTTER J F, MAYHEW H C, et al. The structural design of bituminous roads: 1132[R]. Crow-thorne: Transport and Road Research Laboratory, 1984.
    [38]
    YAO Bing-qing, WANG Wei-long. The calculating principles and charts of equivalent single wheel load for airport rigid pavements[J]. Chinese Journal of Geotechnical Engineering, 1989, 11(2): 43-53.
    [39]
    DAI Xuan, CAI Jing, LI Xiang-xiang, et al. Influence of void size beneath airport concrete pavement and pavement life analysis[J]. Journal of China & Foreign Highway, 2022, 42(6): 47-52.
    [40]
    WANG Q, DAVIS J. Airport pavement groove identification and analysis at NAPTF[J]. Advanced Materials Research, 2013, 723: 1003-1010. doi: 10.4028/www.scientific.net/AMR.723.1003

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