Multi-index evaluation method for grouting repair effect of diseases in expessways based on combined weighting method - cloud model
DOI:
https://doi.org/10.14311/Keywords:
Expessway, Asphalt pavement, Grouting effect, Combined weighting method, Comprehensive evaluation modelAbstract
As a highly practical technique, grouting repair technology is widely used in the practical repair of highway diseases. Existing single indicator detection methods can well reflect certain characteristic indicators of roads, such as compaction and strength. However, the road performance after grouting often needs to be comprehensively evaluated from multiple perspectives, which is difficult to achieve through a single detection method. Therefore, this paper proposes a multi-index evaluation method that comprehensively considers the mechanical properties, uniformity, and compactness of the road after grouting repair. This method combines hierarchical analysis and entropy weight method, integrating subjective evaluation with objective reality, to assign weights to each evaluation index and obtain the weight ranking of relevant influencing factors in the evaluation index system. Based on these index and the combined assign weight method, a comprehensive evaluation model for asphalt pavement is constructed and demonstrated by cloud model step by step. Taking the reconstruction and expansion project of an actual expressway as an example, the grouting effect is evaluated by the proposed model. After that, the actual excavation situation of the expressway show that the evaluation results are closer to the actual performance. The transition from qualitative and empirical evaluation of grouting repair effect to scientific and semi-quantitative evaluation has been initially achieved. The evaluation model for grouting effect based on the combined weighting method-cloud model can accurately, and effectively evaluate the performance of the expressway after grouting repair.
Received: 9.5.2024
Received in revised form: 25.7.2025
Accepted: 30.8.2025
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References
Tao X, Xiao H., 2012. Investigation into causes of in-place rutting in asphalt pavement. Construction and Building Materials,vol. 28: 525-530 (https://doi.org/10.1016/j.conbuildmat.2011.09.007)
Weitian Zh. et al., 2022. Structural condition assessment and fatigue stress analysis of cement concrete pavement based on the GPR and FWD. Construction and Building Materials, vol. 328: 127044 (https://doi.org/10.1016/j.conbuildmat.2022.127044)
Karadelis J N.,2000. A numerical model for the computation of concrete pavement moduli: a non-destructive testing and assessment method. NDT & E International, vol. 33: 77-84(https://doi.org/10.1016/S0963-8695(99)00034-1)
Zhen L.et al.,2022.GPR-based detection of internal cracks in asphalt pavement: A combination method of DeepAugment data and object detection. Measurement, vol.197:111281.
( https://doi.org/10.1016/j.measurement.2022.111281)
Yunfeng P, Yinchuan G, Aiqin S, et al.,2023. Uniformity evaluation of asphalt pavements in hot and humid areas based on ground-penetrating radar. Construction and Building Materials, vol.384: 131432.
Guichao F.et al.,2016.A hybrid fuzzy evaluation method for curtain grouting efficiency assessment based on an AHP method extended by D numbers. Expert Systems with Applications, vol.44: 289–303.
(https://doi.org/10.1016/j.conbuildmat.2023.131432)
Mansour F, Shahni Dezfoulian R.,2019.Pavement structural evaluation based on roughness and surface distress survey using neural network model. Construction and Building Materials, vol.204: 768–780.
(https://doi.org/10.1016/j.conbuildmat.2019.01.142)
Ming L, Chao L.et al.,2009. Review of the Back-Propagation Neural Network Method as a Basis for Pavement Performance Assessment. American Society of Civil Engineers, vol.2012: 1–8.(https://doi.org/10.1061/41047(354)
Guanhu W, Liangcai C.et al.,2009. Comprehensive Evaluation Model of Grey Fixed Weight Clustering for Airport Pavement Service Performance. American Society of Civil Engineers, vol.2012: 984–989.(https://doi.org/10.1061/41039(345)163)
Fan S.et al.,2023. Factor analysis evaluation of asphalt pavement performance considering structural strength and hidden cracks. Construction and Building Materials, vol.408: 133651. (https://doi.org/10.1016/j.conbuildmat.2023.133651)
Yan L, Jiupeng Z.et al., 2023.Suitability evaluation method for preventive maintenance of asphalt pavement based on interval-entropy weight-TOPSIS. Construction and Building Materials, vol.409: 134098.
(https://doi.org/10.1016/j.conbuildmat.2023.134098)
Xian L, Jiancun F.et al.,2024. Laboratory investigation for the bridge deck pavement performance of conventional asphalt mixtures based on fuzzy comprehensive evaluation method. Case Studies in Construction Materials, vol.20: e02784.(https://doi.org/10.1016/j.cscm.2023.e02784)
Fei D,Jian P.et al.,2023. 3D geological suitability evaluation for underground space based on the AHP-cloud model[J]. Underground Space, vol.8: 109–122.(https://doi.org/10.1016/j.undsp.2022.03.006)
Ouma Y, Opudo J, Nyambenya S.2015. Comparison of Fuzzy AHP and Fuzzy TOPSIS for Road Pavement Maintenance Prioritization: Methodological Exposition and Case Study. Advances in Civil Engineering, vol.2015.(https://doi.org/10.1155/2015/140189)
Zhihong Z, Yi Y, Jingnan S. 2006.Entropy method for determination of weight of evaluating indicators in fuzzy synthetic evaluation for water quality assessment. Journal of Environmental Sciences, vol.18: 1020–1023.(https://doi.org/10.1016/S1001-0742(06)60032-6)
Wanying L.et al.,2023. Evaluation of provincial power supply reliability with high penetration of renewable energy based on combination weighting of game theory-TOPSIS method. Sustainable Energy, Grids and Networks, vol.35: 101092.(https://doi.org/10.1016/j.segan.2023.101092)
Xinfan M.et al.,2022. Comprehensive evaluation of 5G+ smart distribution network based on combined weighting method-cloud model. Global Energy Interconnection, vol.5: 675–691.(https://doi.org/10.1016/j.gloei.2022.12.009)
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