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Seismic stability analysis of concrete gravity dams with penetrated cracks 被引量:2
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作者 Shou-yan JIANG Cheng-bin DU 《Water Science and Engineering》 EI CAS 2012年第1期105-119,共15页
The seismic stability of a cracked dam was examined in this study. Geometric nonlinearity and large deformations, as well as the contact condition at the crack site, were taken into consideration. The location of pene... The seismic stability of a cracked dam was examined in this study. Geometric nonlinearity and large deformations, as well as the contact condition at the crack site, were taken into consideration. The location of penetrated cracks was first identified using the concrete plastic-damage model based on the nonlinear finite element method (FEM). Then, the hard contact algorithm was used to simulate the crack interaction in the normal direction, and the Coloumb friction model was used to simulate the crack interaction in the tangential direction. After verification of numerical models through a case study, the seismic stability of the Koyna Dam with two types of penetrated cracks is discussed in detail with different seismic peak accelerations, and the collapse processes of the cracked dam are also presented. The results show that the stability of the dam with two types of penetrated cracks can be ensured in an earthquake with a magnitude of the original Koyna earthquake, and the cracked dam has a large earthquake-resistant margin. The failure processes of the cracked dam in strong earthquakes can be divided into two stages: the sliding stage and the overturning stage. The sliding stage ends near the peak acceleration, and the top block slides a long distance along the crack before the collapse occurs. The maximum sliding displacement of the top block will decrease with an increasing friction coefficient at the crack site. 展开更多
关键词 seismic stability concrete gravity dam penetrated crack plastic-damage model hard contact algorithm Coloumb friction model joint opening
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GA-BP神经网络在AgCuNi电接触材料的性能预测研究 被引量:2
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作者 张乃千 魏明霞 +5 位作者 赵君 王剑平 杨有才 赵通明 方继恒 谢明 《贵金属》 CAS 北大核心 2022年第S01期15-21,共7页
本文针对现有AgCuNi系电接触材料对硬度和导电率预测方法不足等问题,采用遗传算法对BP神经网络的权值和阈值优化,加快了算法的收敛速度,建立了基于遗传算法优化的BP神经网络AgCuNi系电接触材料的硬度和导电率预测模型。训练精度和实际... 本文针对现有AgCuNi系电接触材料对硬度和导电率预测方法不足等问题,采用遗传算法对BP神经网络的权值和阈值优化,加快了算法的收敛速度,建立了基于遗传算法优化的BP神经网络AgCuNi系电接触材料的硬度和导电率预测模型。训练精度和实际测试精度分别达到了0.98和0.89,误差9.18%。研究结果表明,本文建立的BP神经网络预测模型,有助于提高合金的成分设计效率,提高银合金电接触材料的开发效率。 展开更多
关键词 AgCuNi系电接触材料 遗传算法 BP神经网络 硬度 导电率
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