Wenchang Liu (Avtor), Chaohua Wu (Avtor), Xingan Chen (Avtor)

Povzetek

The dynamic response of structures heavily relies on eigenfrequency, so the optimization of eigenfrequency is valuable in various working conditions. The bi-directional evolutionary structural optimization (BESO) method has been widely applied due to its ability to eliminate grayscale elements. Based upon BESO, this paper introduces a topology optimization method that incorporates eigenfrequency constraints and reduces the number of design variables. In this method, the optimization objective was to minimize compliance. The Lagrange multiplier was used to introduce eigenfrequency constraints, allowing for coordinated control of compliance and eigenfrequency. To prevent oscillation during the optimization process, the sensitivity was normalized. Additionally, to achieve faster convergence, the variables were reduced after meeting volume constraints. The numerical examples demonstrate the effectiveness of this method in increasing the eigenfrequency of the structure and avoiding resonance.

Ključne besede

eigenfrequency constraint;topology optimization;bi-directional evolutionary structural optimization;design variable reduction;Lagrange multiplier method;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UL FS - Fakulteta za strojništvo
UDK: 531
COBISS: 192479491 Povezava se bo odprla v novem oknu
ISSN: 0039-2480
Št. ogledov: 11
Št. prenosov: 0
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Slovenski jezik
Sekundarni naslov: Metoda topološke optimizacije z omejevanjem lastnih frekvenc in redukcijo konstrukcijskih spremenljivk
Sekundarne ključne besede: omejitev lastne frekvence;topološka optimizacija;BESO;redukcija konstrukcijskih spremenljivk;metoda Lagrangeovega multiplikatorja;
Vrsta dela (COBISS): Članek v reviji
Strani: str. 159-169
Letnik: ǂVol. ǂ70
Zvezek: ǂno. ǂ3/4
Čas izdaje: Mar.-Apr. 2024
DOI: 10.5545/sv-jme.2023.739
ID: 23434962