CAJ | 학술논문

　　影响混凝土疲劳强度因素的不确定性使材料在最薄弱环节容易造成局部损伤破坏，最终导致整个材料的破坏。因此，随机预测具有一定的现实意义。通过灰色自回归模型和GM(1,1)模型预测钢纤维混凝土(SFRC)弯曲疲劳强度试验值，分析两种方法的预测精度的高低。结果表明，灰色自回归模型预测精度比GM(1,1)模型的精度较高。
　　영향혼응토피로강도인소적불학정성사재료재최박약배절용역조성국부손상파배，최종도치정개재료적파배。인차，수궤예측구유일정적현실의의。통과회색자회귀모형화GM(1,1)모형예측강섬유혼응토(SFRC)만곡피로강도시험치，분석량충방법적예측정도적고저。결과표명，회색자회귀모형예측정도비GM(1,1)모형적정도교고。
Uncertainty of the factors that affect the fatigue strength of concrete is likely to cause local damage and failure in the weakest link of material, eventually leading to the destruction of the entire material. Therefore, the random prediction of fatigue strength of concrete has practical significance. The bending fatigue strength of SFRC is calculated by the gray autoregressive model and GM (1,1) model. Meanwhile, the forecast accuracy of the two models is analyzed by comparing with the calculated values. The results show that forecast precision of gray-autoregressive model is higher than that of GM(1,1)model.