大跨度高架桥施工风险评估及应对措施

Risk assessment and countermeasures of long-span bridge construction

为保证大跨度高架桥梁的施工安全,对其进行的安全评估不可或缺。蚁群算法、神经网络法在桥梁施工风险评估中已有应用,但缺少将两者结合使用方面的研究。把用蚁群算法改进的BP神经网络方法应用到大跨度桥梁施工安全风险评估中,利用了两者的优点,使运算过程更加快速,运算结果准确。该方法突出了风险评估中定量的影响,克服了传统算法中人为因素的影响,可为大跨度高架桥的安全施工提供可靠的支撑。

In order to ensure the safety of the construction of long-span elevated bridges,the safety assessment is indispensable. Ant colony algorithm and neural network method have been used in bridge construction risk assessment,but there is a lack of research on the combination of the two. The improved BP neural network method based on ant colony algorithm is applied to the safety risk assessment of long-span bridge construction. The advantages of the two methods are used to make the operation process faster and the operation results accurate. This method highlights the quantitative influence in risk assessment, overcomes the influence of human factors in the traditional algorithm,and can provide reliable support for the safe construction of long-span bridges.