论文部分内容阅读
以纤维呈六边形分布的单向复合材料为研究对象,结合局部载荷分配法则,提出了随机裂纹核理想扩展过程,给出了基于理想扩展过程的随机裂纹核扩展概率算法,并对随机裂纹核断裂纤维由1根扩展到多根的概率进行了算例分析。通过与基于Markov过程的计算结果比较,表明基于理想扩展过程的随机裂纹核扩展概率算法具有较高的精度。该算法化繁为简,便于考虑裂纹扩展过程中多根纤维同时断裂这一因素。计算表明:忽略多根纤维同时断裂的算法会使随机裂纹核扩展概率计算结果产生较大的误差,而考虑多根纤维同时断裂的算法可以提高裂纹扩展概率的计算精度,从而有利于提高复合材料强度的预测精度。
Taking the unidirectional composite with hexagonal fibers as the research object and combining with the law of local load distribution, the ideal extension process of stochastic crack nuclei is proposed. The stochastic crack kernel expansion probability algorithm based on ideal extension process is given. The stochastic crack The analysis of the probability of a nuclear rupture fiber extending from one to many roots was carried out. Compared with the results based on Markov process, it shows that the stochastic crack kernel expansion probability algorithm based on the ideal extension process has higher accuracy. The algorithm is complicated and easy to consider the factor of simultaneous fracture of multiple fibers in the process of crack propagation. The calculation results show that the algorithm of ignoring the simultaneous fracture of multiple fibers leads to a large error in the calculation results of random crack kernel expansion probability. However, considering the simultaneous fracture of multiple fibers, the calculation accuracy of crack propagation probability can be improved and the composite material Intensity prediction accuracy.