Structural System Parameter Estimation by Two-Stage Least Squares Method

by Will Gersch, Prof. of Information and Computer Sci.; Univ.of Hawaii, Honolulu, Hawaii,
Robert Liu, Student; Dept. of Information and Computer Sci., Univ. of Hawaii, Honolulu, Hawaii,
George T. Taoka, (M.ASCE), Assoc. Prof. of Civ. Engrg.; Univ. of Hawaii, Honolulu, Hawaii,

Serial Information: Journal of the Engineering Mechanics Division, 1976, Vol. 102, Issue 5, Pg. 883-899

Document Type: Journal Paper


A two-stage least-squares parameter estimation procedure using covariance function data is developed for the estimation of the natural frequency and damping parameters of randomly excited structural systems. The estimation procedure is statistically and computationally efficient and yields a measure of the statistical reliability of the structural parameter estimates. Examples of the estimation of the natural frequency and damping computed by forced vibration, correlation analysis, and two-stage least-squares methods are examined.

Subject Headings: Parameters (statistics) | Least squares method | Natural frequency | Damping | Structural systems | Structural reliability | Computing in civil engineering | Vibration

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