Rate-based structural health monitoring using permanently installed sensors.

Rate-based structural health monitoring using permanently installed sensors.
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DOI:
10.1098/rspa.2017.0270
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发表时间:
2017-09
期刊:
Proceedings. Mathematical, physical, and engineering sciences
影响因子:
--
通讯作者:
Corcoran J
Corcoran J
中科院分区:
其他
文献类型:
--
作者:
Corcoran J

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永久安装的传感器变得越来越普遍,方便非常频繁的现场测量,从而改善了对所观察到的系统行为的“趋势”的监测。有人建议,这一新的可用数据可用于提供事先警告和预测的关键事件,特别是系统故障。许多损坏机制是正反馈的例子;它们是“自加速”的,损坏率不断增加。正反馈导致一个共同的时间响应行为,这可能是由一个经验关系,允许预测的时间临界。这项研究的重点是工程部件的结构健康监测;故障时间预计以及提前失效的疲劳,蠕变裂纹扩展和体积蠕变损伤实验。所提出的方法提供了一个广泛适用的框架,使用新提供的近连续的数据从永久安装的传感器,以预测时间,直到故障在一系列的应用领域,包括工程,物理学和医学。
Permanently installed sensors are becoming increasingly ubiquitous, facilitating very frequent in situ measurements and consequently improved monitoring of ‘trends’ in the observed system behaviour. It is proposed that this newly available data may be used to provide prior warning and forecasting of critical events, particularly system failure. Numerous damage mechanisms are examples of positive feedback; they are ‘self-accelerating’ with an increasing rate of damage towards failure. The positive feedback leads to a common time-response behaviour which may be described by an empirical relation allowing prediction of the time to criticality. This study focuses on Structural Health Monitoring of engineering components; failure times are projected well in advance of failure for fatigue, creep crack growth and volumetric creep damage experiments. The proposed methodology provides a widely applicable framework for using newly available near-continuous data from permanently installed sensors to predict time until failure in a range of application areas including engineering, geophysics and medicine.
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