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Acceleration sensor placement technique for vibration test in structural health monitoring using microhabitat frog-leaping algorithm

机译:使用微栖息地蛙跳算法的加速度传感器放置技术在结构健康监测中的振动测试

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摘要

In this article, a microhabitat frog-leaping algorithm is proposed based on original shuffled frog-leaping algorithm and effective independence method to make the algorithm more efficient to optimize the 3-axis acceleration sensor configuration in the vibration test of structural health monitoring. Optimal sensor placement is a vital component of vibration test in structural health monitoring technique. Acceleration sensors should be placed such that all of the important information is collected. The resulting sensor configuration should be optimal such that the testing resources are saved. In addition, sensor configuration should be calculated automatically to facilitate engineers. However, most of the previous methods focus on the sensor placement of 1-axis sensors. Then, the 3-axis acceleration sensors are calculated by the method of 1-axis sensors, which results in non-optimal placement of many 3-axis acceleration sensors. Moreover, the calculation precisions and efficiencies of most of the previous methods cannot meet the requirement of practical engineering. In this work, the microhabitat frog-leaping algorithm is proposed to solve the optimal sensor placement problems of 3-axis acceleration sensors. The computation precision and efficiency are improved by microhabitat frog-leaping algorithm. Finally, microhabitat frog-leaping algorithm is applied and compared with other algorithms using Dalian South Bay Cross-sea Bridge.
机译:本文提出了一种基于原始改组蛙跳算法和有效独立性方法的微栖蛙跳算法,以使该算法在结构健康监测的振动测试中更有效地优化三轴加速度传感器配置。传感器的最佳放置是结构健康监测技术中振动测试的重要组成部分。放置加速度传感器时,应收集所有重要信息。最终的传感器配置应该是最佳的,这样可以节省测试资源。此外,应自动计算传感器配置,以方便工程师。但是,大多数以前的方法都集中在1轴传感器的传感器位置上。然后,通过1轴传感器的方法来计算3轴加速度传感器,这导致许多3轴加速度传感器的位置不理想。而且,大多数先前方法的计算精度和效率不能满足实际工程的要求。在这项工作中,提出了微栖息地蛙跳算法来解决三轴加速度传感器的最优传感器布置问题。微栖息蛙跳算法提高了计算精度和效率。最后,应用微栖息地蛙跳算法并将其与使用大连南湾跨海大桥的其他算法进行比较。

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