| 引用本文: | 吴浩,赵国彦,陈英.多目标条件下矿山充填材料配比优化实验[J].哈尔滨工业大学学报,2017,49(11):101.DOI:10.11918/j.issn.0367-6234.201612139 |
| WU Hao,ZHAO Guoyan,CHEN Ying.Multi-objective optimization for mix proportioning of mine filling materials[J].Journal of Harbin Institute of Technology,2017,49(11):101.DOI:10.11918/j.issn.0367-6234.201612139 |
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| 摘要: |
| 为准确确定某铁矿尾砂胶结充填材料最优配比，分别选择制浆水性、砂灰质量比和料浆质量浓度与充填体强度、料浆坍落度和料浆泌水率作为尾砂胶结充填材料配比优化的影响因素和充填性能评价指标.基于响应面–满意度函数耦合理论，采用Box-Behnken实验设计方法开展13组不同充填配比实验，构建充填性能评价指标的响应面函数，研究各影响因素与目标响应量的相关关系及多目标条件下的最优充填材料配比.结果表明，制浆水性对响应量影响不显著；砂灰质量比对充填体强度影响极显著；坍落度受料浆质量浓度、砂灰质量比影响较显著；砂灰质量比和料浆质量浓度对料浆泌水率的影响均极为显著，且二者之间存在极显著的交互作用.该矿尾砂胶结充填材料最优配比为：制浆水性为海水，砂灰质量比为8.44:1，料浆质量浓度为72%，该配比条件下对应的响应量预测结果为：充填体28 d龄期单轴抗压强度为2.00 MPa，料浆塌落度为27.15 cm，料浆泌水率为7.35%，与验证实验结果基本吻合，为现场工业实验提供强有力的理论支撑.
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| 关键词: 采矿工程 响应面法 满意度函数 配比 尾砂胶结充填 多目标优化 |
| DOI：10.11918/j.issn.0367-6234.201612139 |
| 分类号:TD853.34 |
| 文献标识码:A |
| 基金项目:国家自然科学基金(51374224) |
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| Multi-objective optimization for mix proportioning of mine filling materials |
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WU Hao,ZHAO Guoyan,CHEN Ying
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(School of Resources and Safety Engineering, Central South University, Changsha 410083, China)
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| Abstract: |
| To accurately obtain the optimal mix proportioning of cemented tailings backfill (CTB) for an iron mine, the slurrying water property, the weight ratio of tailings to binder (T/B) and the mass concentration of CTB were selected as influencing factors, and the compressive strength, the slump and the bleeding rate of CTB were selected as performance parameters. Based on the response surface-desirability function coupling theory, Box-Behnken design method was used to carry out thirteen groups of experiments with different mix proportioning. Then the effects of influencing factors on performance parameters of CTB were assessed and response surface functions of performance parameters were established. The results show that the slurrying water property has little effect on response variables. T/B has an extremely significant effect on uniaxial compressive strength after 28 days curing time of CTB, and slump is affected by both mass concentration and T/B at a more significant level. Moreover, T/B, mass concentration and their interaction have an extremely significant effect on bleeding rate. The optimal mix proportioning is that the slurrying water resource is seawater; T/B is 8.44 and the mass concentration is 72%. Under such conditions, the predicted values of response variables are 2.00 MPa, 27.15 cm and 7.35%, respectively, which are in perfect agreement with the confirmatory experimental results. The results of this research provide a more comprehensive engineering approach to CTB mix proportioning.
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| Key words: mining engineering response surface methodology desirability function mix proportioning cemented tailings backfill multi-objective optimization |
