Flexural fatigue life analysis of unsaturated polyester-methyl methacrylate polymer concrete

• Published in: Construction & building materials 2017-06, Vol.140, p.336-343
• Main Authors: Yeon, Kyu-Seok, Choi, Yoon-Sang, Kim, Kwan-Kyu, Yeon, Jung Heum
• Format: Article
• Language: English
• Subjects: Flexural fatigue life; Methyl methacrylate; Polymer concrete; Stress level; Two-parameter Weibull distribution; Unsaturated polyester
• ISSN: 0950-0618; 1879-0526
• DOI: 10.1016/j.conbuildmat.2017.02.116

•Laboratory evaluations were performed to examine the flexural fatigue behavior of UP-MMA polymer concrete.•A two-parameter Weibull distribution was used to analyze the fatigue life probability distributions.•The goodness-of-the-fit of the fatigue life data was verified by means of the Kolmogorov-Smirnov test.•A single-log fatigue equation was derived to predict the fatigue life of UP-MMA polymer concrete. Laboratory and statistical evaluations were performed to examine the flexural fatigue performance of unsaturated polyester-methyl methacrylate (UP-MMA) polymer concrete. Target stress levels were 0.9, 0.8, 0.7, and 0.6 with a fixed stress ratio of 0.1. A 5Hz sinusoidal load with a constant-amplitude frequency was applied to a prismatic specimen (100×100×400mm) using a 250-kN universal testing machine (UTM). MMA contents considered were 0, 10, 20, and 30wt.%. In addition, the two-parameter Weibull distribution was employed to analyze the fatigue life probability distributions of UP-MMA polymer concrete. Three different analysis methods—the graphical method, method of moment, and method of maximum likelihood estimation—were applied to estimate the distribution parameters of the two-parameter Weibull distribution. The results have shown that the two-parameter Weibull distribution describes the fatigue life probability distributions of UP-MMA polymer concrete with quite high statistical correlation coefficients. Also, the goodness-of-the-fit of the fatigue life data obtained was verified by means of the Kolmogorov-Smirnov test, which were all accepted at a 5% significance level. Finally, a single-log fatigue equation was derived to predict the fatigue life of UP-MMA polymer concrete.