Probabilistic fatigue stiffness variation of angle-ply GFRP composites considering stress ratio effect

• Tipo: Artigo em Revista Científica Internacional
• Data: 2024

Autores

Gao, QL (Autor) Outra; Xin, HH (Autor) Outra; Horas, C (Autor) FEUP; Mosallam, AS (Autor) Outra; Liu, YQ (Autor) Outra; Berto, F (Autor) Outra; Ma, JX (Autor) Outra; Sun, Q (Autor) Outra; Correia, JAFO (Autor) FEUP

Revista

A Revista está pendente de validação pelos Serviços Administrativos.

Título: ENGINEERING STRUCTURES

Vol. 304

ISSN: 0141-0296

Indexação

ISI Web of Knowledge - 0 Citações

Scopus

Outras Informações

ID Authenticus: P-010-0PS

DOI: 10.1016/j.engstruct.2024.117622

Abstract (EN): Fiber-reinforced polymer (FRP) composites are frequently used in bridges, wind power installations, and marine floating structures, and there is a growing interest in understanding their fatigue behavior. However, due to a considerable dispersion of the fatigue properties of FRP composites, reliable tools for probabilistic prediction of the fatigue stiffness are required. Thus, in this work, it is proposed a method that uses Bayesian inference and Markov Chain Monte Carlo (MCMC) simulations to estimate the degradation of the stiffness in FRP composites. This methodology is suggested not only to predict the fatigue residual stiffness, but also to consider the reliability of such predictions. Currently, the existing models for stiffness degradation in FRP composites need to fit the model parameters separately under different stress ratios. To address this, a correction term is proposed to describe the relationship between the stress level, stress ratio, fatigue cycles, and residual stiffness. The results achieved validate and prove the effectiveness of the suggested stiffness model, which incorporates four material parameters to calculate the residual fatigue stiffness of FRP composites.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 17