The damage-induced bi-modulus characteristic of C/SiC materials and experimental validation
The damage-induced bi-modulus characteristic of C/SiC materials and experimental validation
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C/SiC材料损伤引起的双模量特性及实验验证
DOI：
10.1016/j.ceramint.2017.04.068
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发表时间：
2017-08
影响因子：
5.2
通讯作者：
Jin Hua
中科院分区：
文献类型：
--
作者：
Yang Qiang;Xu Chenghai;Xie Weihua;Meng Songhe;Jin Hua
结构应力响应预测的可靠性在越来越多使用的C/SiC结构的设计和分析中至关重要。损伤机制的复杂性对预测的准确性提出了挑战。本文研究了C/SiC复合材料在拉伸和压缩载荷作用下微裂纹张开和闭合引起的双模量特性。采用基于不可逆热力学的宏观唯象方法模拟了C/SiC复合材料的本构行为。对C/SiC试样进行了四点弯曲实验，验证了模型的正确性。建立了与实验装置相似的仿真模型，并分析了双模量的影响。模拟结果与实验结果吻合较好。在所进行的实验和模拟中，由于材料的双模量特性，样本的中性面偏离几何中心。与采用本构关系的模拟结果相比，在1600 N的四点弯曲载荷下，采用线弹性关系的模型对C/SiC试样的拉应力高估了31.6%，对压应力低估了15.2%。
The credibility of structural stress response predictions is critical in the design and analysis of increasingly used C/SiC structures. The complexities of the damage mechanisms pose a challenge to the accuracy of the predictions. In this paper, the bi-modulus characteristic of C/SiC, which is induced by the micro cracks opening and closing under tensile and compressive load respectively, were studied. A phenomenological macroscopic approach based on irreversible thermodynamics was applied to model the constitutive behavior of C/SiC. Four-point flexure experiments were conducted on C/SiC specimens to validate the model. A simulation model analogous to the experimental setup was built and the effects of the bi-modulus were analyzed. The strain responses in the experiments and the simulation corresponded well with each other. In both the experiments and the simulations conducted, neutral planes of the specimens were deviated from the geometric center due to the bi-modulus characteristic of the material. Compared to the simulation results using the developed constitutive law, the model employing a linear elastic law over-predicts the tensile stress by 31.6% and underestimates the compressive stress by 15.2% of the C/SiC specimen under a four-point flexural load of 1600 N.
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影响因子：
5.2
作者：
Jinshan Yang;S. Dong;Chengying Xu
通讯作者：
Jinshan Yang;S. Dong;Chengying Xu
影响因子：
13.1
作者：
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影响因子：
6.3
作者：
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通讯作者：
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影响因子：
8.4
作者：
Kai Wei;R. He;Xiangmeng Cheng;Rubing Zhang;Y. Pei;D. Fang
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Kai Wei;R. He;Xiangmeng Cheng;Rubing Zhang;Y. Pei;D. Fang
影响因子：
9.1
作者：
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通讯作者：
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