Topic
Structural health monitoring
About: Structural health monitoring is a research topic. Over the lifetime, 11727 publications have been published within this topic receiving 186231 citations.
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TL;DR: This paper proposes to use statistical pattern recognition methods to address damage classification and data mining issues associated with the examination of large numbers of impedance signals for health monitoring applications to develop a robust damage classifier.
88 citations
TL;DR: In this paper, a sensor network for structural health monitoring (SHM) of civil structures is presented, which consists of soft elastomeric capacitors (SECs) deployed in an array form.
Abstract: Field applications of existing sensing solutions to structural health monitoring (SHM) of civil structures are limited. This is due to economical and/or technical challenges in deploying existing sensing solutions to monitor geometrically large systems. To realize the full potential of SHM solutions, it is imperative to develop scalable cost-effective sensing strategies. We present a novel sensor network specifically designed for strain sensing over large surfaces. The network consists of soft elastomeric capacitors (SECs) deployed in an array form. Each SEC acts as a surface strain gage transducing local strain into changes in capacitance. Results show that the sensor network can track strain history above levels of 25 μe using an inexpensive off-the-shelf data acquisition system. Tests at large strains show that the sensor's sensitivity is almost linear over strain levels of 0-20%. We demonstrate that it is possible to reconstruct deflection shapes for a simply supported beam subjected to quasi-static loads, with accuracy comparable to resistive strain gages.
88 citations
TL;DR: Autonomous sensor nodes (ASNs) are key elements for a WSN in order to allow a self-sufficient and maintenance free operation, without any complex wiring for power supply or communication purposes.
Abstract: The current trend towards the use of novel materials and design concepts for aircraft structures may demand structural health monitoring (SHM) systems in the future. Wireless sensor networks (WSNs) could fulfill the required monitoring tasks concerning fatigue, damage or stress of structural parts. Autonomous sensor nodes (ASNs) are key elements for a WSN in order to allow a self-sufficient and maintenance free operation, without any complex wiring for power supply or communication purposes.
88 citations
TL;DR: In this article, structural health monitoring (SHM) data are used to estimate the probability density function of time to failure through a Bayesian process, which is then used to determine optimal maintenance strategies based on monitoring information.
88 citations
TL;DR: In this paper, the authors describe the application of arrays of surface-bonded piezoelements to determine modal damping characteristics of a tested structure, which can be used for structural damage detection or structural dynamics evaluation.
Abstract: This paper describes the application of arrays of surface-bonded piezoelements to determine modal damping characteristics of a tested structure. This information may be used for structural damage detection or structural dynamics evaluation. Any array element can be used as a sender, to generate a mechanical signal sweeping the frequency range of interest. Thus induced mechanical vibrations can be picked up either by the sender, or by another transducer. Modal characteristics, and in particular damping levels, are obtained using standard modal analysis methods from the resulting frequency transfer function. Since structural or material damage is frequently associated with changes in damping, the method described in this paper can be applied for structural health monitoring. It is expected that the approach presented will be particularly useful for testing light-weight and micro-structures.
88 citations