通过单纤维拔出实验和单轴拉伸实验, 测定了形状记忆合金（SMA）增强树脂基复合材料的界面脱粘剪切强度和单向随机分布SMA短纤维增强复合材料的拉伸强度。根据蒙特卡罗法和边界条件控制方程, 编写了适于软件调用的单向随机分布短纤维增强复合材料的APDL语言生成程序, 建立数值模拟模型。基于指数型内聚力模型, 对SMA纤维与环氧树脂基体界面分离（即界面脱粘）过程进行了有限元模拟。结果表明： 相同纤维体积分数下, 随着纤维长细比的减小, 复合材料整体弹性模量逐渐降低; 温度驱使SMA纤维弹性模量发生变化, 可以有效提高复合材料整体弹性模量。
The interfacial debonding shear strength and ultimate strength of short-cut shape memory alloy (SMA) reinforced epoxy composites were determined based on SMA single fiber pull-out test and uniaxial tensile test, respectively. An algorithm for the automatic generation of unidirectional random distribution short-cut SMA fiber/epoxy composites was developed, using Monte-Carlo method and boundary condition control equation via algorithmic processor description language (APDL). The interfacial debonding process between SMA fibers and epoxy matrix was simulated by means of exponential cohesive zone model (CZM). The results indicate that the macroscopic elastic modulus gradually reduce with the decrease of fiber slendevness ratio and the overall elastic modulus of composite are enhanced owing to the driving of SMA fiber, under the same fiber volume.
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