Abstract

There has recently been an increase in interest in structural health monitoring (SHM) using wireless sensor networks. For SHM, in particular, it is important to accurately and efficiently measure the dynamic acceleration response using wireless sensor networks in real-time. For the purpose, a CAFB (cochlea-inspired artificial filter bank) has been developed in a previous study, which is a dynamic data compression technology. Since the developed CAFB can select and compress only the interested range of frequency signals from an entire response of a structure, it efficiently provides a real-time dynamic response based on wireless networking. CAFB of the previous study is optimized to selectively acquire low-frequency signals of sub-10 Hz, which is required for SHM of long and large-scale structures. According to the CAFB’s optimization using an El-Centro seismic waveform, six band-pass filters, 1.0 Hz interval, and 0.6 Hz bandwidth have been adapted. This article is to evaluate dynamic acceleration response performance of civil structures using the CAFB developed in the previous study. To achieve the purpose, the optimally-designed CAFB was embedded in an intelligent data acquisition (IDAQ) system. To evaluate the performance of the IDAQ system with the embedded CAFB, the real-time dynamic response was investigated for a model cable-stayed bridge, measured by a wire-measuring system and the CAFB-based IDAQ system simultaneously. The results show excellent agreement between the compressed dynamic response acquired by the CAFB-based IDAQ system and that acquired by the wire measuring system. In addition, the measurement from the CAFB-based IDAQ system revealed the modal information of the model bridge. The developed CAFB can determine and reconstruct the entire dynamic response from compression with modal information only; its efficient operation illustrates its potential to be utilized in real-time structural health monitoring.

Highlights

  • Civil structures are constantly affected by diverse forms of external forces and environmental influences during their life-time

  • Since, generally, generally, aa catastrophic catastrophic situation situation (earthquake, will will civil structural response of the civil structure, this study focused on acquiring gust, the structuraletc.), response inevitably assume assume a random random effect effect on on the the structural structural response response of of the the civil civil structure, structure, this this study study inevitably within a frequency arange under 10 Hz for the structure of the model bridge to pick a target mode focused on acquiring the structural response within a frequency range under

  • A data compression technology-based intelligent data acquisition (IDAQ) system was developed based on digital software design by

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Summary

Introduction

Civil structures are constantly affected by diverse forms of external forces and environmental influences during their life-time. The potential for error or oversight in their initial design and construction, negligence of the user, or other factors cannot be excluded from discussions regarding the structure’s long-term stability and safety and, to prevent large-scale damage or accidents, Appl. Sci. 2018, 8, 361 systematic management plans and countermeasures should be prepared in advance. As a part of such efforts, research into structural health monitoring (SHM) systems was begun earnestly by the construction field in the 1990s to evaluate the condition and detect damage to civil structures in real-time. Major large bridges are a key focus of the application efforts of SHM [1,2,3,4,5,6]

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