A Fatigue Damage Constitutive Model of SCC Based on Weibull Distribution and Residual Strain
WAN Zhen’ang1,MA Kunlin1,2,LONG Guangcheng1,2,XIE Youjun1,2
1 School of Civil Engineering, Central South University, Changsha 410075; 2 National Engineering Laboratory of High-speed Railway Construction Technology, Central South University, Changsha 410075
Abstract: For the sake of investigating the fatigue damage of self-compacting concrete(SCC) used in CRTSⅢ slab track filling layer under diverse ser-vice environment, the Weibull distribution function was employed and the residual strain was introduced to characterize the damage degree, and the SCC fatigue damage constitutive model was established. The effects of water and dynamic load on the fatigue damage of SCC was discussed, and the compression fatigue performance of typical filling layer SCC was tested and verified by the MTS testing machine. Results indicated that the Weibull distribution and residual strain based SCC fatigue damage constitutive model could well characterize the performance evolution of typical filling layer SCC under fatigue load. The correlation coefficients between the fitted results of the constitutive model and the experimental results are larger than 0.97, which meant the model could well reflect the variation of SCC damage with the rising fatigue times. After 1×106 times fatigue load, the ultimate compressive strength of SCC decreased by 20.5% under dynamic load, compared with the single action of dynamic load, the ultimate compressive strength of SCC decreased by 6.7% under saturated water condition after 1×106 times fatigue load, the ultimate compressive strength of SCC decreased by 27.2% under the combined action of water-dynamic load. The combined action of water and dynamic load accelerated SCC damage under fatigue load.
万镇昂, 马昆林, 龙广成, 谢友均. 基于Weibull分布和残余应变的SCC疲劳损伤本构模型[J]. 材料导报, 2019, 33(4): 634-638.
WAN Zhen’ang, MA Kunlin, LONG Guangcheng, XIE Youjun. A Fatigue Damage Constitutive Model of SCC Based on Weibull Distribution and Residual Strain. Materials Reports, 2019, 33(4): 634-638.
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2019, Vol. 33 
