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  • 标题:Eliminating the Influence of Axle Parameters in Influence Line Identification
  • 本地全文:下载
  • 作者:Qingqing Zhang ; Qingqing Zhang ; Qianlong Liu
  • 期刊名称:The Baltic Journal of Road and Bridge Engineering
  • 印刷版ISSN:1822-427X
  • 出版年度:2021
  • 卷号:16
  • 期号:4
  • 页码:240-269
  • DOI:10.7250/bjrbe.2021-16.547
  • 语种:English
  • 出版社:Vilnius Gediminas Technical University
  • 摘要:Accurate and rapid acquisition of the strain influence line of continuous beam plays a positive role in promoting the wide application of structural health monitoring. The structural response obtained from the sensors is used to estimate the strain influence line. However, most estimation methods ignore the influence of axle parameters on the structural response, resulting in a large error in identifying the strain influence line. This paper presents a method for eliminating the influence of axle parameters of moving vehicles on strain responses to estimate the strain influence line of continuous beams based on the long-gauge strain sensing technology. By analysing the mechanical characteristics of the multi-span continuous beam, a theoretical strain influence line expression is first established to obtain the strain influence line of the continuous beam accurately. The structural response only caused by axle weight, obtained by eliminating the influence of axle parameters, is then estimated for calibrating the theoretical strain influence line. Finally, different lane tests are also considered to solve the influence of different transverse position relations on the proposed method between the monitoring unit and the lane. Finally, numerical simulations are adopted to illustrate the effectiveness of the proposed identification method by simulating the strain time histories induced by a multi-axle vehicle. A field test also demonstrates the validity and feasibility of this method.
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