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为研究钢纤维页岩陶粒混凝土在台风、海浪和地震等动荷载作用下的动力学性能,制备了5种不同钢纤维掺量的钢纤维页岩陶粒混凝土试件进行静态抗压试验和SHPB单轴冲击试验,分析了3种冲击气压下材料的应变率效应和钢纤维体积掺量对动态抗压强度的影响,并用BP神经网络模型预测了动态抗压强度。结果表明,材料的应变率效应主要体现在增强效果上;不同应变率会影响钢纤维掺量对动态抗压强度的增幅,其中低应变率下增幅最大;BP神经网络模型对钢纤维掺量较小的试验组动态抗压强度预测较准确。
In order to study the dynamic behavior of steel fiber shale ceramsite concrete under dynamic loads such as typhoon, ocean waves and earthquakes, five kinds of steel fiber shale ceramsite concrete specimens with different steel fiber content were prepared for static compression test and SHPB uniaxial impact test was used to analyze the effect of strain rate and the volume fraction of steel fiber on the dynamic compressive strength under three kinds of impact pressures. The dynamic compressive strength was predicted by BP neural network model. The results show that the strain rate effect of the material is mainly reflected in the reinforcement effect; different strain rates will affect the increase of dynamic compressive strength of steel fiber content, of which the maximum increase rate of low strain rate; BP neural network model of steel fiber content than The dynamic compressive strength of small experimental group is more accurate.