首页> 外文会议>International Conference on Structural Integrity >Force identification in bolts of flange connections for structural health monitoring and failure prevention
【24h】

Force identification in bolts of flange connections for structural health monitoring and failure prevention

机译:螺栓识别法兰连接的结构健康监测和预防失败

获取原文

摘要

Force identification in bolts of flange connection is not only important to preserve the structure integrity but also to understand how does it works or even improve code procedures. Due to the relaxation phenomenon it becomes even more important in case of compressed bolts. In this paper a bolted flange connection was examined during static tensile test. Four of six bolts were equipped with washer load cells. Alternatively some bolts were equipped with piezoelectric transducers (actuator and sensor) in order to measure signals of elastic waves. It was noted that the load increasing causes changes in the signals measured. Principal components analysis was used for dimensionality reduction of measured signals. The aim of this study was to investigate the use of elastic waves and artificial neural networks for the purpose of force identification. Examples of preliminary results have shown that force in each bolt may be estimated with relatively good accuracy.
机译:在法兰连接的螺栓中强制识别不仅重要的是保持结构完整性,而且要了解它是如何运作的甚至改善代码程序的重要性。由于放松现象,在压缩螺栓的情况下它变得更加重要。在本文中,在静态拉伸试验期间检查了螺栓凸缘连接。六个螺栓中的四种配备有垫圈的载荷电池。或者,一些螺栓配备有压电换能器(致动器和传感器),以测量弹性波的信号。注意,负载越来越长导致测量信号的变化。主要成分分析用于测量信号的维度降低。本研究的目的是调查弹性波和人工神经网络的使用,以造成力识别。初步结果的示例表明,可以以相对良好的精度估计每个螺栓中的力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号