ǂan ǂexperimentally validated numerical model
Gorazd Fajdiga (Avtor), Barbara Šubic (Avtor), Aljaž Kovačič (Avtor)

Povzetek

This paper presents an experimentally validated model for the computational analysis of metal-reinforced wooden composites. The model can be used in both research and in industry to effectively estimate how much a certain composite design improves the bending stiffness and strength of a hybrid metal-reinforced wooden component. A model based on computer simulations allows the prediction and analysis of the mechanical behaviour of a hybrid composite material consisting of several interconnected components made of different base materials. The model for different boundary conditions and parameters provides the correct data on stiffness, especially bending, and the associated maximum displacements. It allows for a variation of the mechanical and geometrical properties, and makes it possible to observe the initiation of irreversible change in the window-frame member. The model enables parametrical simulations to find the optimum layout of reinforcements in the window-frame member, as well as to make estimations of the maximum performance of certain designs.

Ključne besede

kompozitni leseni nosilci;upogibna togost;numerične simulacije;ojačitve;lesena okna;preskušanje;composite wooden beams;bending stiffness;numerical modelling;reinforcements;window frames;mechanical testing;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UL BF - Biotehniška fakulteta
UDK: 630*8
COBISS: 71832323 Povezava se bo odprla v novem oknu
ISSN: 1999-4907
Št. ogledov: 296
Št. prenosov: 64
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
Sekundarne ključne besede: kompozitni leseni nosilci;upogibna togost;numerične simulacije;ojačitve;lesena okna;preskušanje;
Vrsta dela (COBISS): Članek v reviji
Strani: 1-16 str.
Letnik: ǂVol. ǂ12
Zvezek: ǂiss. ǂ7
Čas izdaje: 2021
DOI: 10.3390/f12070918
ID: 13236985