剑麻纤维加筋水泥土力学性能试验
Research on Engineering Characteristics of Magnesium Phosphate Cement Solidified Copper Contaminated Soil
王凤池 1王昱宁 2张晨阳 3孙畅 2许罡2
作者信息
- 1. 沈阳建筑大学交通与测绘工程学院,辽宁 沈阳 110168
- 2. 沈阳建筑大学土木工程学院,辽宁 沈阳 110168
- 3. 中冶沈勘工程技术有限公司,辽宁 沈阳 110169
- 折叠
摘要
目的 研究纤维掺量、纤维长度及养护龄期对剑麻纤维加筋水泥土无侧限抗压强度及巴西劈裂抗拉强度的影响规律.方法 设置纤维掺量为0～0.8%,加筋长度为7～19 mm,养护龄期为7 d、28 d及90 d,对不同影响因素下剑麻纤维加筋水泥土进行无侧限抗压强度试验及巴西劈裂试验.结果 剑麻纤维的掺入提升了水泥土的无侧限抗压强度及巴西劈裂抗拉强度,随着纤维掺量及加筋长度的增加呈现出先增大后减小的规律;当加筋长度为11 mm、纤维掺量为0.4%时,加筋效果最显著,无侧限抗压强度提高幅度达30.2%;剑麻纤维加筋水泥土的抗拉强度、拉压比与纤维掺量呈线性关系.结论 剑麻纤维的掺入改善了水泥土的脆性,提高了水泥土的破坏韧性;采用幂函数对试验数据进行拟合,得到了养护龄期与纤维掺量共同作用下剑麻纤维加筋水泥土无侧限抗压强度的预测模型,可以为实际工程提供参考.
Abstract
The purpose of this paper is to explore the effects of fiber content,length and curing age on unconfined compressive strength and Brazilian splitting tensile strength of sisal fiber cemented soil.The fiber content was0～0.8%,the reinforced length was7～19 mm and the curing age were 7,28 and 90 days.The unconfined compressive strength and Brazilian splitting test of fiber reinforced cemented-soil were conducted under these various factors respectively.The results show that the incorporation of sisal fiber improves the unconfined compressive strength and splitting tensile strength of cemented-soil.When the reinforcement length was 11 mm and fiber content was 0.4%,the reinforcement effect is the most significant,and the unconfined compressive strength increases by 30.2%.The tensile strength and tension compression ratio of sisal fiber cemented soil exhibit a linear relationship with fiber content.The addition of sisal fiber can improve the brittleness and toughness of cemented soil.The power function was used to fit the test data,and the prediction model of unconfined compressive strength of sisal fiber cemented soil was obtained under the both effect of curing age and fiber content,which could provide reference for practical engineering.
关键词
剑麻纤维/纤维掺量/无侧限抗压强度/劈裂抗拉强度/预测模型Key words
sisal fiber/fiber content/unconfined compressive strength/splitting tensile strength/prediction model引用本文复制引用
基金项目
国家自然科学基金项目(52108235)
辽宁省中央引导地方科技发展资金计划项目(2023JH6/100100018)
福建省中青年教师教育科研项目(JAT231177)
大学生创新训练项目(202312993003)
出版年
2024
NETL
NSTL
万方数据