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Record breaking bursts in a fiber bundle model of creep rupture

机译:记录蠕变破裂的纤维束模型中的破裂爆发

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We investigate the statistics of record breaking events in the time series of cracklingbursts in a fiber bundle model of the creep rupture of heterogeneous materials. In the model fibers break due to two mechanisms: slowly accumulating damage triggers bursts of immediate breakings analogousto acoustic emissions in experiments. The rupture process accelerates such that the size of breaking avalanches increases while the waiting time between consecutive events decreases towards failure.Record events are defined as bursts which have a larger size than all previous events in the time series.We analyze the statistics of records focusing on the limit of equal load sharing (ELS) of the model and compare the results to the record statistics of sequences of independent identically distributed random variables. Computer simulations revealed that the number of records grows with the logarithm of the event number except for the close vicinity of macroscopic failure where an exponential dependence isevidenced. The two regimes can be attributed to the dominance of disorder with small burst sizesand to stress enhancements giving rise efficient triggering of extended bursts, respectively.Both the size of records and the increments between consecutive record eventsare characterized by power law distributions with a common exponent 1.33 significantly differentfrom the usual ELS burst size exponents of fiber bundles. The distribution of waiting times followsthe same behavior, however, with two distinct exponents for low and high loads. Studying the evolution of records we identify a load dependent characteristic scale of the systemwhich separates slow down and acceleration of record breaking as failure is approached.
机译:我们调查异质材料蠕变破裂的纤维束模型中的爆裂时间序列中的破纪录事件的统计数据。在该模型中,纤维断裂是由于两种机制造成的:缓慢累积损伤会触发瞬时断裂的爆发,类似于实验中的声发射。破裂过程加速,使得破裂雪崩的大小增加,而连续事件之间的等待时间朝着失败的方向减小。记录事件定义为突发,其大小比时间序列中的所有先前事件都大。在模型的均等分担(ELS)的极限上进行比较,并将结果与​​独立均匀分布的随机变量序列的记录统计信息进行比较。计算机模拟表明,记录数量随事件数量的对数增长,但宏观故障的紧密联系除外,在宏观故障中可以看到指数相关性。两种机制可以分别归因于突发大小较小的无序状态和应力增强,从而有效地触发了扩展突发突发。记录的大小和连续记录事件之间的增量均以幂律分布为特征,且指数为1.33与通常的纤维束的ELS爆裂尺寸指数显着不同。等待时间的分布遵循相同的行为,但是对于低负载和高负载,有两个不同的指数。通过研究记录的演变,我们确定了系统的负载相关特征量表,该系统将故障发生时的记录打破速度减慢和加速分开。

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