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Characterisation, monitoring and failure risks assesment of buried ductile steel pipeline subject to earthquakes by using wireless sensors

机译:使用无线传感器对埋地韧性钢管管道评估埋地钢管管道的特征,监测和失败风险

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This paper addresses the problem of damage monitoring system for buried ductile steel pipeline subject to earthquakes. To determine the capacity of a pipeline to perform its mechanical functions face to occasional or incidental damages, such as earthquakes, it is needed to evaluate the structural integrity of pipe and to track relevant environment parameters. This may be performed through intelligent monitoring system of earthquakes environment. For risk prevention decision support, it is necessary to collect and analyze data to predict the failures and damages, and to provide data. First, we propose a model for the steel pipes structural behavior under earthquake strengths. Simulation result, allowed identifying key parameters to be monitored and to suggest sensors based instrumentation and placement for data collection and risk assessment. Then we suggest an intelligent data acquisition system with a strategy following 3 phases of earthquake impact of buried pipes: damage accumulation, crack initiation and crack propagation. The analysis results of the current study suggest that an intelligent data acquisition system requires intelligent sensors based instrumentation with an appropriate technology for buried ductile steel pipeline subjected to earthquakes. The resulting intelligent instrumentation system requires solving an optimal positioning problem of networked smart wireless sensors, under uncertainties constraints, with self-adaptive and remote monitoring operational capacities.
机译:本文涉及受地震埋藏钢管管道损坏监测系统的问题。为了确定管道的能力,需要面对偶尔或偶然的损坏,例如地震,需要评估管道的结构完整性并跟踪相关环境参数。这可以通过地震环境的智能监控系统进行。对于风险预防决策支持,有必要收集和分析数据以预测失败和损害,并提供数据。首先,我们提出了一种钢管结构行为在地震强度下的模型。仿真结果,允许监视识别密钥参数,并建议基于传感器的仪器和放置数据收集和风险评估。然后,我们建议一个智能数据采集系统,埋藏管道发生抗震影响3阶段的策略:损伤积累,裂纹启动和裂纹传播。目前研究的分析结果表明,智能数据采集系统需要基于智能传感器的仪器,具有适当的埋地地震埋地钢管管的技术。由此产生的智能仪表系统需要解决网络智能无线传感器的最佳定位问题,在不确定性约束下,具有自适应和远程监控操作能力。

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