钢渣对矿渣基高水充填材料性能的影响及强度预测

发布时间：2018-01-29 09:42

本文关键词： 钢渣基高水充填材料力学性能水化产物　出处：《硅酸盐通报》2017年11期 　论文类型：期刊论文

【摘要】：采用钢渣、矿渣和铁尾砂等固体废弃物制备矿渣基高水充填材料,通过对其正交试验样本建立BP神经网络强度预测模型,并结合实测强度预测出不同龄期15%和25%钢渣掺量高水充填材料的抗压强度,分析了钢渣掺量对高水充填材料物理力学性能的影响,不同龄期高水充填材料水化产物的变化规律。研究表明:通过对正交试验样本建立的BP神经网络强度预测模型,可实现对各龄期不同钢渣掺量的高水充填材料抗压强度的预测;随着钢渣掺量的升高,高水充填材料的强度逐渐下降,吸水率逐渐增大,膨胀收缩率先减小后升高;随着养护龄期的延长,水化产物中的石英、氢氧化钙和斜硅钙石的衍射峰逐渐钝化,方解石、水化硅酸钙、C-S-H(I)和羟镁铝石晶相的衍射峰逐渐锐利。
[Abstract]:Solid wastes such as steel slag, slag and iron tailings were used to prepare slag based high water filling materials, and BP neural network strength prediction model was established through orthogonal test samples. Combined with the measured strength, the compressive strength of 15% and 25% steel slag filled with high water filling materials was predicted, and the influence of steel slag content on the physical and mechanical properties of high water filling materials was analyzed. The changes of hydration products of high water filling materials at different ages. The results show that the BP neural network strength prediction model is established by orthogonal test samples. The prediction of compressive strength of high water filling materials with different steel slag content at different ages can be realized. With the increase of steel slag content, the strength of high water filling material decreases gradually, the water absorption rate increases, and the expansion shrinkage decreases first and then increases. With the extension of curing age, the diffraction peaks of quartz, calcium hydroxide and clinicalite in hydration products gradually passivation, calcite, calcium silicate hydrate. The diffraction peaks of the crystal phase of C-S-HG) and aluminite gradually sharpened.
【作者单位】：北京科技大学金属矿山高效开采与安全教育部重点试验室;金川集团股份有限公司镍钴资源综合利用国家重点实验室;
【基金】：国家高技术研究发展计划(863计划)(SS2012AA062405)
【分类号】：TU528
【正文快照】： 1引言钢渣是钢铁生产中的副产品。在我国,全国炼钢厂堆积的钢渣总量超过了2亿吨,占地1万亩以上,并且每年仍以3000多万吨的数量增长。由于钢渣等固体废弃物的大量堆存对土地占用和环境污染造成了极大的不利影响,因此将其作为二次资源加以利用已经成为社会发展的趋势,不仅可以带

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