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INTEGRATION OF AN EFFECTIVE SHM SYSTEM IN A MODEL STEEL BRIDGE

机译:一种在模型钢桥中的有效SHM系统的集成

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Since 19th century, more than three hundred bridges have collapse all over the world. Engineers for all over the world are trying to stop these catastrophes, implementing systems that can detect with time these kinds of catastrophes. A Structural health monitoring system was implemented in the University of Texas Pan-American. The damage in a model steel bridge has been evaluated using accelerometers and strain gauges. Different damage scenarios have been detected in this system, being able to detect the differences between those states. With the implementation of this effective SHM system, the signals created by the sensors can be read in a securely web domain. These signals are interpreted with different types of algorithms, making easier for the Engineers to detect when the bridge is in a heavy damage state. A finite element model of this steel bridge was created, making possible the simulation of a future state of the bridge. Monte Carlo simulation was implemented in this finite element model. This method allows us to predict the damage severity on the bridge, making it possible to take proper precautions and decisions with time of anticipation. The lifetime of the bridge is detected with the Monte Carlo simulation. This effective SHM system can be implemented in real bridges, detecting with anticipation any kind of irregularity in the bridge.
机译:自19世纪以来,超过三百个桥梁遍布全球。世界各地的工程师正试图阻止这些灾难,实现可以随时间检测这些种类的灾难的系统。德克萨斯州潘美大学实施了结构健康监测系统。使用加速度计和应变仪评估模型钢桥中的损坏。在该系统中检测到不同的损坏方案,能够检测这些状态之间的差异。随着该有效SHM系统的实现,可以在安全的Web域中读取由传感器创建的信号。这些信号用不同类型的算法解释,使工程师更容易检测桥何时处于损坏状态。创建了该钢桥的有限元模型,使得可能模拟桥梁的未来状态。在该有限元模型中实现了蒙特卡罗模拟。这种方法允许我们预测桥梁的伤害严重程度,使得可以采取适当的预防措施和决策随着期待的时间。通过蒙特卡罗模拟检测桥的寿命。这种有效的SHM系统可以在真正的桥梁中实现,以期待桥梁中的任何不规则的检测。

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