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Probabilistic prognosis of fatigue crack growth for asphalt concretes

机译:沥青混凝土疲劳裂纹扩展的概率预测

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摘要

A probabilistic approach is presented for the prognosis of fatigue crack growth for asphalt concretes using the particle filtering method based on Bayesian theory. The random response of fatigue behavior is successively updated with the accumulation of the measured data by the particle filtering method. During the updating, particles with high probability are reproduced more, while others are eliminated via resampling procedures. The J integral is adopted for the fatigue crack growth to take into account the viscoelastic characteristics of asphalt concretes. The prognosis of fatigue crack growth and remaining service life under different conditions is presented using this method. (C) 2015 Elsevier Ltd. All rights reserved.
机译:提出了一种基于贝叶斯理论的颗粒过滤方法预测沥青混凝土疲劳裂纹扩展的概率方法。疲劳行为的随机响应通过粒子滤波方法随着测量数据的积累而连续更新。在更新过程中,高概率粒子被更多地复制,而其他粒子则通过重采样过程被消除。考虑到沥青混凝土的粘弹性,采用J积分进行疲劳裂纹扩展。提出了在不同条件下疲劳裂纹扩展和剩余使用寿命的预测方法。 (C)2015 Elsevier Ltd.保留所有权利。

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