๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

On the problem of modelling for parameter identification in distributed structures

โœ Scribed by Mark A. Norris; Leonard Meirovitch


Publisher
John Wiley and Sons
Year
1989
Tongue
English
Weight
809 KB
Volume
28
Category
Article
ISSN
0029-5981

No coin nor oath required. For personal study only.

โœฆ Synopsis


Structures are often characterized by parameters, such as mass and stiffness, that are spatially distributed. Parameter identification of distributed structures is subject to many of the difficulties involved in the modelling problem, and the choice of the model can greatly affect the results of the parameter identification process. Analogously to control spillover in the control of distributed-parameter systems, identification spillover is shown to exist as well and its effect is to degrade the parameter estimates. Moreover, as in modelling by the Rayleigh-Ritz method, it is shown that, for a Rayleigh-Ritz type identification algorithm, an inclusion principle exists in the identification of distributed-parameter systems as well, so that the identified natural frequencies approach the actual natural frequencies monotonically from above.


๐Ÿ“œ SIMILAR VOLUMES


Application of decomposition/coordinatio
โœ Axel Munack; Manfred Thoma ๐Ÿ“‚ Article ๐Ÿ“… 1986 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 609 KB

Application of two decomposition/coordination methods to parameter identification problems for interconnected distributed parameter systems of parabolic type is treated. After formulation of both methods--penalization and re-injection-and some remarks with respect to treatment of parameters occurrin

On the Parameter Identification Problem
โœ L. Dalla; V. Drakopoulos ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 200 KB

Fractal interpolation functions provide a new means for fitting experimental data and their graphs can be used to approximate natural scenes. We first determine the conditions that a vertical scaling factor must obey to model effectively an arbitrary function. We then introduce polar fractal interpo

A NOVEL TECHNIQUE FOR INVERSE IDENTIFICA
โœ G.R. LIU; S.C. CHEN ๐Ÿ“‚ Article ๐Ÿ“… 2002 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 160 KB

A computational inverse technique for identifying sti!ness distribution in structures is proposed in this paper using structural dynamics response in the frequency domain. In the present technique, element sti!ness factors of the "nite element model of a structure are taken to be the parameters, and