𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Maximum likelihood estimation of structural parameters from random vibration data

✍ Scribed by W. Gersch; N.N. Nielsen; H. Akaike

Publisher
Elsevier Science
Year
1973
Tongue
English
Weight
821 KB
Volume
31
Category
Article
ISSN
0022-460X

No coin nor oath required. For personal study only.

✦ Synopsis

A new, statistically efficient and computationally efficient maximum likelihood computational procedure for determining the period and damping values of linear multi-degree-of-freedom structures and estimates of their statistical reliability from records of their response to random winds or earthquake excitation is described. Damping and period estimates computed from a modern nine-story steel frame building are analysed and compared with the results obtained from steady-state forced vibration tests.

πŸ“œ SIMILAR VOLUMES

Modified maximum likelihood method for t
Modified maximum likelihood method for the robust estimation of system parameters from very noisy data
✍ S. Puthenpura; N.K. Sinha πŸ“‚ Article πŸ“… 1986 πŸ› Elsevier Science 🌐 English βš– 304 KB

When experiments are conducted there is always a chance of the occurrence of large measurement errors (outliers). Common identification methods like generalized least squares, maximum likelihood etc. may not converge in these situations due to the presence of oufliers. Here we present a method for t