摘   要：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。

Abstract: In order to study on the dynamic performance of steel fiber shale aggregate concrete under the dynamic loads of the typhoon, waves and the earthquake, steel fiber shale aggregate concrete specimens with five different kinds of steel fiber content are prepared by static compression test and SHPB single axis impact test, the strain rate of three types of materials and the influence of volume fraction of steel fiber on the dynamic comprehensive strength are analyzed, and the dynamic comprehensive strength by using BP neural network model is predicted. The results show that, the strain rate effect of material is mainly reflected in enhancement effect, different strain rate can affect the increase of dosage of steel fiber on the dynamic comprehensive strength, that the biggest increase is at low strain rates; and the forecast of dynamic comprehensive strength of low volume fraction of steel fiber by using BP neural network model is accurate.