This work is based on predicting damage density in graphite/epoxy polymer matrix composite materials (PMC) under hygrothermal aging condition. A coupled Forward-Backward Stochastic Differential Equation (FBSDE) was proposed as a mathematical model to predict number density of damages. The uncertainty in damage nucleation and annihilation rate was captured by proposing these two terms as ?Brownian motion with drift?. In order to verify the proposed model, a rigorous quantitative damage analysis was carried out on graphite/epoxy specimens. The specimens were kept under certain hygrothermal condition. The damages were classified based on the criteria of their size. Finally, the predicted damage density from the proposed stochastic model was verified against experimental data. The proposed model showed good agreement with experimental observation.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
This work is based on predicting damage density in graphite/epoxy polymer matrix composite materials (PMC) under hygrothermal aging condition. A coupled Forward-Backward Stochastic Differential Equation (FBSDE) was proposed as a mathematical model to predict number density of damages. The uncertainty in damage nucleation and annihilation rate was captured by proposing these two terms as ?Brownian motion with drift?. In order to verify the proposed model, a rigorous quantitative damage analysis was carried out on graphite/epoxy specimens. The specimens were kept under certain hygrothermal condition. The damages were classified based on the criteria of their size. Finally, the predicted damage density from the proposed stochastic model was verified against experimental data. The proposed model showed good agreement with experimental observation.
Rezwanur Rahman, BS: Mechanical Engineering, Bangladesh University of Engineering and Technology (BUET), MS: Engineering Science and Mechanics, The University of Alabama, USA. Research interest: Computational modeling, nanomechanics, composite materials, probabilistic modeling, molecular dynamics and first principle based calculations.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : moluna, Greven, Allemagne
Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rahman RezwanurRezwanur Rahman, BS: Mechanical Engineering, Bangladesh University of Engineering and Technology (BUET), MS: Engineering Science and Mechanics, The University of Alabama, USA. Research interest: Computational modeling,. N° de réf. du vendeur 4977480
Quantité disponible : Plus de 20 disponibles
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This work is based on predicting damage density in graphite/epoxy polymer matrix composite materials (PMC) under hygrothermal aging condition. A coupled Forward-Backward Stochastic Differential Equation (FBSDE) was proposed as a mathematical model to predict number density of damages. The uncertainty in damage nucleation and annihilation rate was captured by proposing these two terms as Brownian motion with drift . In order to verify the proposed model, a rigorous quantitative damage analysis was carried out on graphite/epoxy specimens. The specimens were kept under certain hygrothermal condition. The damages were classified based on the criteria of their size. Finally, the predicted damage density from the proposed stochastic model was verified against experimental data. The proposed model showed good agreement with experimental observation. N° de réf. du vendeur 9783639322149
Quantité disponible : 2 disponible(s)
Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. DAMAGE EVOLUTION IN COMPOSITE MATERIALS UNDER ENVIRONMENTAL AGEING | A Stochastic model with experimental verification | Rezwanur Rahman | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639322149 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 107162758
Quantité disponible : 5 disponible(s)