期刊
MEASUREMENT SCIENCE AND TECHNOLOGY
卷 31, 期 2, 页码 -出版社
IOP Publishing Ltd
DOI: 10.1088/1361-6501/ab43f2
关键词
electrical resistance tomography; nondestructive evaluation; inverse problems; structural damage tomography
资金
- Civil and Structural Engineering Department at the University of Sheffield
- National Natural Science Foundation of China [61871356]
- Anhui Provincial Natural Science foundation [1708085MA25]
Structural damage tomography (SDT) uses full-field or distributed measurements collected from sensors or self-sensing materials to reconstruct quantitative images of potential damage in structures, such as civil structures, automobiles, aircraft, etc. In approximately the past 10 years, SDT has increased in popularity due to significant gains in computing power, improvements in sensor quality, and increases in measurement device sensitivity. Nonetheless, from a mathematical standpoint, SDT remains challenging because the reconstruction problems are usually nonlinear and ill-posed. As such, the ability to reliably reconstruct or detect damage using SDT is seldom guaranteed due to factors such as noise, modeling errors, low sensor quality, and more. Further, damage processes may be rendered invisible due to data indistinguishability. In this paper we identify and address key physical, mathematical, and practical factors that may result in invisible structural damage. Demonstrations of damage invisibility and data indistinguishability in SDT are provided using experimental data generated from a damaged reinforced concrete beam.
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