Naslov
Estimation of glass plate boundary conditions using laser Doppler vibrometer

Autori
Plovanić, Marina ; Kožar, Ivica

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Book of Abstracts - My First Conference 2022 / Dugonjić Jovančević, Sanja ; Sulovsky, Tea ; Tadić, Adnrea - Rijeka, 2022, 32-32

ISBN
978-953-6953-59-2

Skup
6th edition of annual conference for doctoral students of engineering and technology „MY FIRST CONFERENCE“

Mjesto i datum
Rijeka, Hrvatska, 22.09.2022

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Nije recenziran

Ključne riječi
Parameter estimation ; boundary conditions ; laser Doppler vibrometer ; glass plate

Sažetak
Some material properties can be measured directly but most can only be estimated indirectly. Structural parameters can almost always be estimated indirectly. Estimating parameters and properties from measurements is becoming increasingly important. Due to the mounting technique with an elastic resin, the boundary conditions of a glass plate are between simply supported and clamped. However, comparing the results of computer models and experiments requires fairly accurate knowledge of the extent to which the supports are clamped. We want to present a method for estimating the boundary conditions of a glass plate based on measurements of vibration velocity at some points on the plate. Unknown boundary conditions are parameterized with the parameter ‘k’ which describes the extent of the constraint on the supports and has a value in the interval from 0 to 1. The parameter ‘k’ is visible only after the boundary conditions are introduced using Lagrange multipliers. The procedure is similar to [1], [2] and [3], but at this stage of development only experimental and calculated vibration results are compared. We propose to estimate the constraint on thin plates using experimental measurements and numerical simulations. The unknown extent of the constraint on the supports is determined from different types of data sets, such as displacements, velocities, and accelerations at different sampling frequencies. The extraction of the unknown parameter 'k' is done using inverse analysis techniques.

Izvorni jezik
Engleski

Znanstvena područja
Građevinarstvo, Temeljne tehničke znanosti

POVEZANOST RADA