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Full-factorial Two-level Design in Optimizing the Contents of Olivine and Coir Fiber for Improving the Strength Property of a Soft Marine Clay
Journal of Natural Fibers ( IF 2.8 ) Pub Date : 2020-04-18 , DOI: 10.1080/15440478.2020.1751373
Endene Emmanuel 1, 2 , Lee Li Yong 1 , Afshin Asadi 3 , Vivi Anggraini 1
Affiliation  

ABSTRACT

A 3-factor, 2-level full factorial design was employed in the current study to design the experiment, evaluate the results, and optimize the contents of olivine and coir fiber for improving the strength property of a soft marine clay. The influence of the independent variables (olivine content, coir fiber content, and curing time) on the response [unconfined compressive strength (UCS)] were investigated by analysis of variance (ANOVA). The ANOVA results show that olivine content and curing time significantly affected the UCS. A regression model was developed to relate the response to the variables. The developed model shows a good agreement between the predicted and actual values, demonstrating the validity of the regression analysis in the process optimization. The optimum conditions were found to be 30% olivine content, 2.5% coir fiber content, and 35 days of curing, which improved the UCS by approximately two-fold. The results demonstrate that both chemical modification and mechanical reinforcement by adding olivine and coir fiber are efficient techniques to improve the strength property of soft marine clays. The findings of the study also open up a promising perspective for using full factorial design in defining the optimal factor combinations for improving the strength properties of weak soils.



中文翻译:

优化橄榄石和椰壳纤维含量以提高软海粘土强度性能的全因子两水平设计

摘要

本研究采用 3 因子 2 水平全因子设计来设计试验,评估结果,优化橄榄石和椰壳纤维的含量,以提高软海相粘土的强度性能。通过方差分析 (ANOVA) 研究了自变量(橄榄石含量、椰壳纤维含量和固化时间)对响应 [无侧限抗压强度 (UCS)] 的影响。方差分析结果表明,橄榄石含量和固化时间显着影响 UCS。开发了一个回归模型以将响应与变量联系起来。所开发的模型显示了预测值和实际值之间的良好一致性,证明了回归分析在过程优化中的有效性。最佳条件为橄榄石含量 30%、椰壳纤维含量 2.5%、和 35 天的固化,这将 UCS 提高了大约两倍。结果表明,通过添加橄榄石和椰壳纤维进行化学改性和机械增强都是提高软海相粘土强度性能的有效技术。该研究的结果还为使用全因子设计来定义改善弱土强度特性的最佳因子组合开辟了一个有前景的前景。

更新日期:2020-04-18
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