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首页> 外文期刊>Construction and Building Materials >Stochastic simulation of the influence of variation of mineral material grading and dose weight on the homogeneity of hot-mix asphalt
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Stochastic simulation of the influence of variation of mineral material grading and dose weight on the homogeneity of hot-mix asphalt

机译：矿物材料等级和剂量重量变化对热混合沥青均质性影响的随机模拟

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摘要

The aim of the study is to evaluate the influence of random errors of the stochastic technological process occurring in a batch type plant on the homogeneity of the hot-mix asphalt (HMA). The article presents the algorithm of prognosing mineral part composition of HMA, which takes into consideration a variation of mineral material cumulative percent passing through control sieves as well as errors of mineral material dose weight in the finite dosing. It is considered that percent passing and dose weight errors are independent random quantities, distributing according to the normal law. The original algorithm for the simulation of values of these two quantities is used. The mineral material grading and dose weight of the batches of HMA are selected through the use of the random number generator. To evaluate the homogeneity of the simulated lot of HMA batches, reference was made to Lithuanian Construction Recommendations R35-01, limiting the admissible deviations of components quantities of HMA in comparison with the job-mix formula. The example of simulation discussed above is presented, and the results are analysed.
机译：该研究的目的是评估间歇式工厂中发生的随机技术过程的随机误差对热混合沥青（HMA）均匀性的影响。本文介绍了一种预测HMA矿物成分组成的算法，该算法考虑了通过控制筛的矿物材料累积百分比的变化以及有限加料中矿物材料剂量重量的误差。可以认为合格百分率误差和剂量重量误差是独立的随机量，根据正常规律分布。使用用于模拟这两个量的值的原始算法。通过使用随机数生成器选择HMA批次的矿物材料等级和剂量重量。为了评估模拟批次的HMA批次的均质性，参考了立陶宛建筑建议书R35-01，与工作混合公式相比，限制了HMA成分数量的容许偏差。给出了上面讨论的仿真示例，并对结果进行了分析。

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