Stochastic analysis of the fracture toughness of polymeric nanoparticle composites using polynomial chaos expansions

• Published in: International journal of fracture Vol. 206; no. 2; pp. 215 - 227
• Main Authors: Hamdia, Khader M., Silani, Mohammad, Zhuang, Xiaoying, He, Pengfei, Rabczuk, Timon
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.08.2017; Springer Nature B.V
• Subjects: Alloys; Automotive Engineering; Characterization and Evaluation of Materials; Chemistry and Materials Science; Civil Engineering; Classical Mechanics; Concentration (composition); Crack propagation; Energy consumption; Fillers; Finite element method; Fracture mechanics; Fracture toughness; Material properties; Materials Science; Mathematical models; Mechanical Engineering; Modulus of elasticity; Nanocomposites; Nanoparticles; Original Paper; Parameter uncertainty; Polymers; Polynomials; Probability theory; Propagation (polymerization); Reinforcement; Sensitivity analysis; Stochastic models; Two dimensional models; Variance analysis; Uncertainty quantification; Computational mechanics; Sensitivity analysis; Interphase; Polymeric nanoparticle composites; Fracture toughness

The fracture energy is a substantial material property that measures the ability of materials to resist crack growth. The reinforcement of the epoxy polymers by nanosize fillers improves significantly their toughness. The fracture mechanism of the produced polymeric nanocomposites is influenced by d...