doktorsko delo
Abstract
Cilj doktorske naloge je uporabiti visoko prostorsko ločljivost lastnih oblik, ki so na voljo pri meritvi s hitro kamero, za učinkovito in zanesljivo posodabljanje vedno bolj geometrijsko kompleksnih numeričnih modelov. Tekom doktorskega dela so potekale raziskave za generacijo naključnega vzora na površini s pomočjo laserske svetlobe, avtomatsko parametrizacijo numeričnega modela, zmanjšanje vpliva relativno šumnih delov merjenih lastnih oblik in uporabo tri-dimenzionalnih lastnih oblik za izboljšanje postopka posodabljanja. S pomočjo laserske svetlobe smo uspeli generirati naključni vzorec brez modifikacije površine. Vzorec smo uporabili za identifikacijo lastnih oblik polnega polja. S pomočjo visoke prostorske ločljivosti lastnih oblik, primerne uporabe uteženja in avtomatske parametrizacije smo uspešno identificirali lokalne anomalije na strukturi.
Keywords
disertacije;modelno posodabljanje;hitre kamere;naključni vzorec;lokacijsko uteženje;avtomatska parametrizacija;3D laserske oblike;
Data
Language: |
Slovenian |
Year of publishing: |
2023 |
Typology: |
2.08 - Doctoral Dissertation |
Organization: |
UL FS - Faculty of Mechanical Engineering |
Publisher: |
[K. Zaletelj] |
UDC: |
621.37:531.776:004.925.84(043.3) |
COBISS: |
145313027
|
Views: |
239 |
Downloads: |
49 |
Average score: |
0 (0 votes) |
Metadata: |
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Other data
Secondary language: |
English |
Secondary title: |
High-speed camera-based model updating in structural dynamics |
Secondary abstract: |
The aim of the doctoral thesis is to exploit the high spatial resolution of mode shapes available when measured with a high-speed camera for efficient and reliable updating of increasingly geometrically complex numerical models. As part of the doctoral research, studies have been conducted on the generation of a random pattern on the surface using laser light, automatic parameterization of the numerical model, reduction of the influence of relatively noisy parts of the measured mode shapes, and the use of three-dimensional shapes to improve the updating process. Using laser light, we succeeded in creating a random pattern without changing the surface and use this pattern to identify the full-field mode shapes. Using the high spatial resolution of the mode shapes, appropriate weighting, and automatic parameterization, we were able to successfully identify local anomalies on the structure. |
Secondary keywords: |
dissertations;model updating;high-speed camera;spackle-pattern;location weighting;automatic parameterization;3D mode shapes; |
Type (COBISS): |
Doctoral dissertation |
Study programme: |
0 |
Thesis comment: |
Univ. v Ljubljani, Fak. za strojništvo |
Pages: |
XX, [81] str. |
ID: |
18275610 |