橡胶混合黏土小应变剪切模量特性试验研究
Experimental study on small-strain shear modulus of rubber-clay mixtures
周恩全 1白宇航 1姚缘 1王龙 2陆建飞1
作者信息
- 1. 江苏大学土木工程与力学学院,江苏镇江 212013
- 2. 江南大学环境与土木工程学院,江苏无锡 214122
- 折叠
摘要
为了研究橡胶混合黏土(混合土)的动变形特性,对不同橡胶掺量、橡胶粒径和围压的混合土开展共振柱试验,分析动剪切模量G和阻尼比λ的发展规律,并基于二元介质模型,提出了表达混合土接触状态的骨架孔隙比esk计算方法,进一步依托骨架孔隙比esk对混合土的最大动剪切模量Gmax进行评价.结果表明:掺入橡胶颗粒后,混合土的G减小,λ增大,且橡胶掺量增大时,混合土的G减小、λ增大;围压增大时,混合土的G增大、λ减小;橡胶粒径增大时,混合土的G增大、λ减小.随着橡胶掺量增大,骨架孔隙比esk增大,Gmax降低;在相同橡胶掺量时,随着橡胶粒径的增大,esk增大,Gmax升高.在Hardin公式的基础上,基于骨架孔隙比esk提出了考虑橡胶掺量和橡胶粒径的Gmax表征模型,该模型具有较好的准确性,可为评价橡胶混合黏土Gmax提供依据.
Abstract
In order to study the dynamic deformation characteristics of rubber-clay mixtures,resonance column tests were conducted on mixtures with different rubber contents,rubber particle sizes,and confining pressures.The development patterns of dynamic shear modulus G and damping ratio λ were analyzed.A calculation method for skeleton void ratio esk expressing the contact state of mixtures was proposed based on the binary medium model.Furthermore,the maximum dynamic shear modulus Gmax of mixtures was evaluated based on skeleton void ratio esk.The results show that adding rubber particles leads to a decrease in G and increase in λ.As the rubber content increases,G decreases and λ increases.Additionally,G increases and λ decreases with increasing confining pressure.Moreover,G increases and λ decreases with increasing rubber particle diameter.With an increase in rubber content,the skeleton void ratio esk increases and Gmax decreases.At the same rubber dosage,as the rubber particle size increases,esk increases and Gmax rises.Based on Hardin's formula,a characterization model of Gmax considering rubber content and rubber particle size is proposed using skeleton void ratio esk.The model exhibits good accuracy and can serve as a basis for evaluating Gmax of rubber-clay mixtures.
关键词
橡胶混合黏土/动剪切模量/阻尼比/骨架孔隙比/Hardin模型Key words
rubber-clay mixtures/dynamic shear modulus/damping ratio/skeleton void ratio/Hardin model引用本文复制引用
基金项目
江苏省自然科学基金(BK20210479)
南京市交通运输科技项目(2022)
出版年
2024
国家科技期刊平台
NSTL
万方数据