林靖,任阳,郑军,等. 隧道洞渣制备机制砂的细度模数控制系统研究与应用[J]. 中国矿业,2024,33(2):236-244. DOI: 10.12075/j.issn.1004-4051.20230390
    引用本文: 林靖,任阳,郑军,等. 隧道洞渣制备机制砂的细度模数控制系统研究与应用[J]. 中国矿业,2024,33(2):236-244. DOI: 10.12075/j.issn.1004-4051.20230390
    LIN Jing,REN Yang,ZHENG Jun,et al. Research and application of fineness modulus control system for preparing crushed sand from tunnel slag[J]. China Mining Magazine,2024,33(2):236-244. DOI: 10.12075/j.issn.1004-4051.20230390
    Citation: LIN Jing,REN Yang,ZHENG Jun,et al. Research and application of fineness modulus control system for preparing crushed sand from tunnel slag[J]. China Mining Magazine,2024,33(2):236-244. DOI: 10.12075/j.issn.1004-4051.20230390

    隧道洞渣制备机制砂的细度模数控制系统研究与应用

    Research and application of fineness modulus control system for preparing crushed sand from tunnel slag

    • 摘要: 隧道洞渣岩石特性多变,成品机制砂细度模数波动大,不利于工程应用。通过理论分析和试验研究等方法,研究了各公称粒径区间占比对细度模数的影响,将0~5.0 mm砂分为0~2.5 mm与2.5~5.0 mm两区间,以《建设用砂》细度模数的计算公式为基础,结合实测数据得出细度模数简化预测公式,并基于该预测公式构建了控制逻辑,实现了细度模数的在线调配与闭环控制。研究结果表明:将0~5.0 mm砂分为0~2.5 mm与2.5~5.0 mm两区间,可推导出细度模数的简化预测公式,通过两区间砂的比值即可快速准确预测细度模数;当细度模数在2.6~2.8之间且调配系数k取2.1时,m3m2的比值为3.1~4.8,m3v的比值为78.12~120.96。基于简化预测公式构建的细度模数控制系统,可实现细度模数稳定控制,对隧道洞渣资源化利用有积极作用。

       

      Abstract: The characteristics of tunnel slag rock are changeable and the fineness modulus of final crushed sand fluctuates greatly, which is not conducive to engineering application. Through theoretical analysis and experimental research, the influence of the proportion of each nominal particle size interval on the fineness modulus is studied. Divide 0-5.0 mm sand into 0-2.5 mm and 2.5-5.0 mm intervals, based on the calculation formula for fineness modulus of Construction Sand and combined with measured data, a simplified prediction formula for fineness modulus is obtained. Based on the prediction formula, a control logic is constructed to achieve online allocation and closed-loop control of fineness modulus. The research results show that 0-5.0 mm sand is divided into 0-2.5 mm and 2.5-5.0 mm intervals, and a simplified prediction formula for fineness modulus is derived, the fineness modulus can be quickly and accurately predicted by the ratio of sand between 0-2.5 mm and 2.5-5.0 mm intervals; when the fineness modulus is between 2.6 and 2.8 and the blending coefficient is 2.1, the ratio of m3 and m2 is 3.1 to 4.8, and the ratio of m3 and v is 78.12 to 120.96. The fineness modulus control system based on the simplified prediction formula can realize the fineness modulus stability control, and has a positive effect on the resource utilization of tunnel slag.

       

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