多目标的最佳控制和应用固体废物协同激发流体化固化土壤
Bingjie Liu1, Shuaihua Ye2,3, Hongzhuang Shi4
1Lanzhou Technology and Business College, Lanzhou, Gansu, China.
Scientific reports
|December 23, 2025
概括
这项研究开发了一种可控制的低强度准备混合流固化土壤 (CLSM),使用固体废物改善中国西北地区的耐用性. 与传统的水泥土相比,优化的CLSM在极端环境条件下表现出优越的抗性.
科学领域:
- 材料科学 材料科学 材料科学
- 地质技术工程 地质技术工程
- 环境工程 环境工程
背景情况:
- 在中国西北的低谷地区,传统的填充材料受到了定居和耐用性差的困扰.
- 特殊的回填条件需要具有增强机械性能和经济可行性的材料.
研究的目的:
- 为了准备可控制的低强度准备混合流固化土壤 (CLSM),使用固体废物和活性剂.
- 优化CLSM组合比,以提高性能和成本效益.
- 研究CLSM在极端环境条件下的耐用性机制.
主要方法:
- 使用兰州的作为矩阵.
- 采用L16(4^5) 直角测试设计来优化混合比.
- 应用了重法来建立一个双目标优化模型 (28d压力强度-成本).
- 进行了多维测试和微机制分析,以评估耐用性.
主要成果:
- 最佳的混合比率 (15%的煤,3%的碳化物渣,15%的高炉渣,60%的活性剂) 在73.23元/的压力强度达到4.44MPa.
- 与水泥土相比,CLSM的耐用性显著提高:在经过25次冷解周期后,质量损失减少44.83%,强度提高34.89%.
- 硫酸盐干湿循环试验显示,质量损失降低了55.56%,强度增加了40.01%,表明抗性优越.
- 微机制分析揭示了五个阶段的强度形成过程,固体废物和活性剂的协同效应促进了C-S-H凝和凝的形成.
结论:
- 开发的CLSM采用"废物的废物处理"方法,为干旱和寒冷地区的回填提供了可持续和持久的解决方案.
- 多目标优化方法提供了一个科学合理的方法来确定最佳的混合比率.
- 该研究为在具有挑战性的环境中应用固化土壤提供了理论支持和工程指导.
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