TY - GEN
T1 - Algorithmic and computing technologies for health assessment of real structures in the presence of nonlinearity and uncertainty
AU - Das, Ajoy Kumar
AU - Al-Hussein, Abdullah
AU - Haldar, Achintya
PY - 2013
Y1 - 2013
N2 - The research team at the University of Arizona proposed several novel structural health assessment (SHA) algorithms. Structures are represented by finite elements (FE) and the health is assessed by identifying the stiffness parameters of all the elements and comparing them with expected values or with previous values, or by observing differences between similar elements. They can identify the location and severity of defect and exact location within a defective element. These algorithms use several system identification- (SI-) based concepts with different levels of sophistications. They do not require excitation information and can assess the health of large structural systems using only limited noise-contaminated acceleration time-histories measured at a small part of a structure. They are widely available in the literature. However, algorithmic and computational rigors of them are generally not presented in technical papers due to severe page limitation. Some of them are briefly presented in this paper without discussing the specific algorithms.
AB - The research team at the University of Arizona proposed several novel structural health assessment (SHA) algorithms. Structures are represented by finite elements (FE) and the health is assessed by identifying the stiffness parameters of all the elements and comparing them with expected values or with previous values, or by observing differences between similar elements. They can identify the location and severity of defect and exact location within a defective element. These algorithms use several system identification- (SI-) based concepts with different levels of sophistications. They do not require excitation information and can assess the health of large structural systems using only limited noise-contaminated acceleration time-histories measured at a small part of a structure. They are widely available in the literature. However, algorithmic and computational rigors of them are generally not presented in technical papers due to severe page limitation. Some of them are briefly presented in this paper without discussing the specific algorithms.
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U2 - 10.1061/9780784413029.007
DO - 10.1061/9780784413029.007
M3 - Conference contribution
AN - SCOPUS:84887327224
SN - 9780784477908
T3 - Computing in Civil Engineering - Proceedings of the 2013 ASCE International Workshop on Computing in Civil Engineering
SP - 49
EP - 56
BT - Computing in Civil Engineering - Proceedings of the 2013 ASCE International Workshop on Computing in Civil Engineering
PB - American Society of Civil Engineers (ASCE)
T2 - 2013 ASCE International Workshop on Computing in Civil Engineering, IWCCE 2013
Y2 - 23 June 2013 through 25 June 2013
ER -