摘要
选用新型固化材料SH与石灰组合改良黄土,进行无侧限抗压强度正交试验,结果显示,SH与石灰的最优组合是掺量为10%的SH和4%石灰,风干时间28 d。对正交试验结果进行极差和方差分析,通过BP神经网络模型进行强度预测。预测结果与试验结果基本吻合,SH与石灰组合改良的最大相对误差为3.16%,表明该神经网络模型具有较高预测精度。研究结论对进一步研究改良黄土的工程特性有一定的参考价值。
Improved loess that combined with a newly polymeric solidified material SH and lime is used in the orthogonal test of unconfined compressive strength. And the results show that the optimal combination is 10% of SH mixed with 4% of lime with 28-day-drying-time. Range analysis and variance analysis are carried out for orthogonal test, and BP artificial neural network model is predicted for strength. The prediction result basically agrees well with the test result, and maximum relative error of the combination is 3. 16%,which means the model has higher prediction accuracy. This study can be used as references for further studies on engineering characteristics of improved loess.
出处
《人民珠江》
2016年第7期27-30,共4页
Pearl River
基金
山西省自然科学基金项目(2010011029-2)
关键词
固化剂
组合加固
无侧限抗压强度
正交试验
BP神经网络
solidifying agent
combined strengthening
unconfined compressive strength
orthogonal experiment
BP Neural Networks
