Probabilistic effective heat conductivity of fiber composites

• Autorzy: Kamiński M.
• Języki publikacji: EN

Abstrakty

EN

In the paper an attempt for the probabilistic homonigenization in heat conduction problems of fiber composites is presented. On the basis of the effective modules approach applied to scalar fields, numerical method of heat conduction problem homogenization based on the Montc-Carlo simulation (MCS) technique is proposed and implemented in the program MCCEFF. This program has been used to numerical studies of stochastic sensitivity of effective heat conductivity probabilistic moments to different input geometrical as well as material random parameters of the composite being modelled. Computational experiments provided in the paper show probabilistic moments up to fourth order of effective conductivity coefficient as well as its upper and lower bounds. Moreover, the probabilistic convergence of results with increasing number of random trials used in simulation has been studied. Finally, effectiveness of computational algorithm worked out is verified on the example of heat conduction problem in fiber reinforced composite which has been computed by the use of program ABAQUS.

Słowa kluczowe

EN

heat conductivity; fiber composites; Monte Carlo simulation; ABAQUS

• Wydawca: Wydawnictwo Politechniki Łódzkiej
• Czasopismo: Mechanics and Mechanical Engineering
• Rocznik: 1998
• Tom: Vol. 2, nr 2
• Strony: 175--207
• Opis fizyczny: Bibliogr. 25 poz.

Twórcy

autor

Kamiński M.

• Division of Mechanics of Materials Technical University of Lodz Al. Politechniki 6, 93-590 Lodz, POLAND