Experimental Verification of a Novel Accelerometer Intended for Structural Health Monitoring of Bridges

Author:

Komarizadehasl Seyedmilad1,Alahmad Ahmad1,Lozano-Galant Jose A.2,Torralba Victor3,Ramos Gonzalo1,Turmo José1

Affiliation:

1. Department of Civil and Environment Engineering, Universitat Politècnica de Catalunya, BarcelonaTech. C/ Jordi Girona 1-3, 08034, Barcelona, Spain

2. Department of Civil Engineering, Universidad de Castilla-La Mancha. Av. Camilo Jose Cela s/n, Ciudad Real, 13071, Spain

3. Tunnel and Bridge Technologies, S.L., Calle Marqués de Mulhacén 11, 08034-Barcelona, Spain

Abstract

<p>Bridges can be considered one of the most critical infrastructures of any country. Subsequently, their health state assessment is of great importance. However, durable monitoring of bridges can be highly costly and time-consuming. In addition, the current Structural Health Monitoring applications are only applicable to individual structures with a high budget for their health assessment. For a long-term economic evaluation of bridges, low-cost sensors are currently being developed for SHM applications. However, their resolution and accuracy are not yet suitable for structural system identifications. For that, a novel accelerometer based on Arduino technology is introduced in this work. Experiments show that this accelerometer has a better resolution. Illustrated test results of this paper on a frequency range of 0.5 to 8 Hz validate the performance of the proposed accelerometer.</p>

Publisher

International Association for Bridge and Structural Engineering (IABSE)

Reference30 articles.

1. Structurally Deficient Bridges | Bridge Infrastructure | ASCE’s 2017 Infrastructure Report Card n.d. https://www.infrastructurereportcard.org/ cat-item/bridges/ (accessed October 9, 2020).

2. Direct simulation of the tensioning process of cable-stayed bridge cantilever construction;J. Farré-Checa;Automation in Construction

3. Straub D, Chatzi E, Bismut E, Courage W, Döhler M, Faber MH, et al. Value of information: A roadmap to quantifying the benefit of structural health monitoring. 12th International Conference on Structural Safety & Reliability, Vienna, Austria: 2017, p. 3018–29.

4. Review of Bridge Structural Health Monitoring Aided by Big Data and Artificial Intelligence: From Condition Assessment to Damage Detection;Limin Sun;Journal of Structural Engineering (ASCE)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3