基于改进的响应表面模型的废弃物基水泥回填材料的机械性能评估
Peitao Shi1,2, Jixiong Zhang1,2, Hao Yan3,4
1School of Mines, China University of Mining and Technology, Xuzhou, 221116, China.
Environmental science and pollution research international
|December 11, 2023
概括
这项研究开发了一个智能模型来预测基于带的水泥填充材料 (GCBM) 的机械性能. 新型智能响应表面模型 (IRSM) 准确预测单轴压力强度 (UCS),有助于减少矿山废物和环境保护.
科学领域:
- 采矿工程 采矿工程 采矿工程
- 材料科学 材料科学 材料科学
- 环境科学 环境科学
背景情况:
- 传统的采矿产生废物,破坏土地和环境.
- 基于河的水泥填充材料 (GCBM) 通过利用废物提供了一个解决方案.
- 了解GCBM的机械性能对于有效的废物管理和表面保护至关重要.
研究的目的:
- 开发一个智能模型来评估GCBM的机械性能.
- 分析影响因素与单轴压力强度 (UCS) 之间的相关性.
- 为了比较UCS预测的传统和新型智能模型的性能.
主要方法:
- 进行了实验室强度测试.
- 一个多项式响应表面模型 (PRSM) 分析了因子-UCS相关性.
- 开发并验证了一种使用支持向量的回归,混乱映射和适应方法的智能响应表面模型 (IRSM).
主要成果:
- 度和带比例被确定为影响UCS的最敏感因素.
- 在预测UCS方面,IRSM表现优于PRSM.
- 该IRSM实现了高准确度,R2为0.96和MBE为0.05.
结论:
- 开发的IRSM提供了一种高效有效的方法来预测GCBM的UCS.
- 这种智能模型具有显著的潜力,可以促进煤矿废物减少.
- 该研究强调了GCBM在促进采矿业务中的环境保护方面的重要性.
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