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Durability assessment of reinforced concrete bridge based on fuzzy neural networks

机译:基于模糊神经网络的钢筋混凝土桥梁耐久性评价

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In the operation process of bridge structures, some bridges appear early failure without reaching design reference period due to the influences of external environment, vehicle load and other factors. Therefore, the problem of structure durability is very obvious. In this paper, a new durability assessment method is proposed based on fuzzy neural networks, which can take account of the defects and deficiencies of existing durability assessment methods. The simulation for learning and testing samples indicates that the proposed method possesses good learning ability and predictive analysis ability. Actual project verifies the effectiveness of the method.
机译:在桥梁结构的运行过程中,由于外部环境,车辆负荷和其他因素的影响,一些桥梁出现了早期的故障而不达到设计参考时段。因此,结构耐久性问题非常明显。本文基于模糊神经网络提出了一种新的耐久性评估方法,可以考虑现有耐久性评估方法的缺陷和缺陷。学习和测试样本的仿真表明,该方法具有良好的学习能力和预测性分析能力。实际项目验证该方法的有效性。

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