Effective sensor location for detection of change in structural dynamic response

Author:

Woodall J1,Maji A1ORCID,Moreu F2

Affiliation:

1. Sandia National Laboratories, Albuquerque, NM, USA

2. Department of Civil, Construction and Environmental Engineering, University of New Mexico, Albuquerque, NM, USA

Abstract

This paper investigates the sensitivity of structural system response to the sensor location by investigating consequences of small changes in the location to the structural system response. The paper discusses how maximum observability (based on mode shape and the participation of that mode in the input provided) drives optimal location. The structural responses were investigated in terms of the g-rms response for various low-frequency inputs (pure sinusoids and real-life inputs such as an earthquake and trains). Results were then analyzed in the context of Modal Contributions Factors (MCF) and changes to the Force-to-response Transfer Functions (TRFs). A modal-matching process is first presented using a MatlabTM-based Finite Element Method (FEM) model of a cantilever beam and instrumentation to determine the location of a small mass based on three different criteria. Subsequently, the structural response is investigated using experiments and the FEM model. The accelerometer of small mass (at 1/3 height) was moved up or down to obtain changes in the structural response (TRF) to various realistic low-frequency inputs. Modal Contribution Factor (MCF) and derivative (slope) of the associated mode-shapes were correlated to the observed changes in TRFs. Results show how optimal sensor locations for detecting change in structural response can be based on the MCFs and the associated mode-shapes.

Funder

Sandia National Laboratories

Publisher

SAGE Publications

Subject

Mechanical Engineering,Geophysics,Mechanics of Materials,Acoustics and Ultrasonics,Building and Construction,Civil and Structural Engineering

Reference19 articles.

1. A robust model-based test planning procedure

2. Friswell M, Coote J, Terrell M, et al. “Experimental data for uncertainty quantification”. In: Proceedings of the 23rd international modal analysis conference, Orlando, FL, 2005. Society of Experimental Mechanics (SEM).

3. Numerical and experimental analysis of uncertainty on modal parameters estimated with the stochastic subspace method

4. Michaelides P, Fassois S. “Stochastic identification of structural dynamics from multiple experiments – experimental variability analysis”. In: Proceedings of the ISMA conference, Belgium, Europe, 2008.

5. Ashory MR, Assessment of the mass-loading effects of accelerometers in modal testing. In: Proceedings of the 20th international modal analysis conference, Los Angeles, CA, 4–7 February 2002, pp. 1027–1031.

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