Year: 2025
Type: article
Abstract: 针对黄土湿陷性强、强度低及透水性大等工程缺陷，本研究采用电石渣、粉煤灰与玄武岩纤维协同改良黄土，以提升其力学性能。通过单因素试验确定关键参数取值范围：电石渣置换率(30%~50%)、玄武岩纤维含量(0.3%~0.5%)及纤维长度(9~15 mm)。基于响应面法建立7 d无侧限抗压强度预测模型，验证结果表明模型可靠性显著。因素影响分析显示，电石渣置换率对强度影响最为显著，其次为纤维含量与纤维长度。最终优化得到最佳配比为电石渣置换率36.24%、纤维含量0.38%、纤维长度11.6 mm，为黄土改良工程提供了科学依据与实用参考。In view of the engineering defects such as strong collapsibility, low strength and high permeability of loess, in this study, calcium carbide slag, fly ash and basalt fiber were used to collaboratively improve loess to enhance its mechanical properties. The range of key parameter values was determined through single-factor experiments: calcium carbide slag replacement rate (30%~50%), basalt fiber content (0.3%~0.5%), and fiber length (9~15 mm). A 7-day unconfined compressive strength prediction model was established based on the response surface method. The verification results show that the reliability of the model is significant. Factor influence analysis shows that the replacement rate of calcium carbide slag has the most significant impact on strength, followed by fiber content and fiber length. Finally, the optimal ratio obtained through optimization was a calcium carbide slag replacement rate of 36.24%, a fiber content of 0.38%, and a fiber length of 11.6 mm, providing a scientific basis and practical reference for the loess improvement project.
Author: 佳欣 汪
Language: English
Subfield: Civil and Structural Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4411738240