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首页> 外文期刊>KSCE journal of civil engineering >A Combinational Prediction Model for Transverse Crack of Asphalt Pavement
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A Combinational Prediction Model for Transverse Crack of Asphalt Pavement

机译:沥青路面横向裂缝的组合预测模型

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摘要

Reliable transverse crack prediction can benefit the design and maintenance and improve the reliability of field investigation for asphalt pavement in permafrost regions of Qinghai-Tibet plateau. This study adopted the crack prediction model in the newly developed pavement design method named Pavement ME Design (PMED) and the modified grey predictive model (GM (1, 1)) to predict the transverse crack of asphalt pavement in permafrost regions. The complementary advantages for the two models based on the weight distribution theory were discussed, and a combined prediction model (PME-DGM combination model) taking account into region characteristics was developed. Finally, the applicability of combined prediction model was analyzed. The result showed that, the predictive accuracy of PME-DGM combination model established by the error sum of squares reciprocal method was the highest, the best weight allocations for each sub-model were L~(NCH)= 0.601 and L~(DGM)= 0.399, and the combination model can be applied in the permafrost region involved in this paper; The combination model is more appropriate in predicting the development trend of transverse crack of project-level asphalt pavement in permafrost regions; For PMED predictive model, this study raised a modified method base on a third-party model (DGM (1,1), and the result showed that the method worked well in the permafrost region of Qinghai-Tibet plateau.
机译:可靠的横向裂缝预测有利于青藏高原多年冻土地区沥青路面设计和维护,提高现场调查的可靠性。本研究在新开发的路面设计方法Pavement ME Design(PMED)和改进的灰色预测模型(GM(1,1))中采用了裂缝预测模型,以预测多年冻土地区沥青路面的横向裂缝。讨论了基于权重分布理论的两种模型的互补优势,并建立了考虑区域特征的组合预测模型(PME-DGM组合模型)。最后,分析了组合预测模型的适用性。结果表明,误差平方和倒数法建立的PME-DGM组合模型的预测精度最高,每个子模型的权重分配最佳为L〜(NCH)= 0.601和L〜(DGM) = 0.399,并且该组合模型可以应用于本文涉及的多年冻土区域;组合模型更适合预测多年冻土区工程级沥青路面横向裂缝的发展趋势;对于PMED预测模型,该研究提出了一种基于第三方模型(DGM(1,1))的改进方法,结果表明该方法在青藏高原的多年冻土地区效果很好。

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