In recent years,high fidelity numerical models simultaneously reflecting the behaviors of mechanical systems and their underlying materials have gradually become an indispensable part of modern mechanical and producti...In recent years,high fidelity numerical models simultaneously reflecting the behaviors of mechanical systems and their underlying materials have gradually become an indispensable part of modern mechanical and production engineering.In different contexts,the attempt to bridge me chanical engineering with materials science and to replace phenomenological models by the physical ones are named either as integrated computational materials engineering(ICME)or integrated structures and materi als design(ISMD).展开更多
For design and application of particulate reinforced metal matrix composites(PRMMCs),it is essential to predict the material strengths and understand how do they relate to constituents and microstructural features.To ...For design and application of particulate reinforced metal matrix composites(PRMMCs),it is essential to predict the material strengths and understand how do they relate to constituents and microstructural features.To this end,a computational approach consists of the direct methods,homogenization,and statistical analyses is introduced in our previous studies.Since failure of PRMMC materials are often caused by time-varied combinations of tensile and shear stresses,the established approach is extended in the present work to take into account of these situations.In this paper,ultimate strengths and endurance limits of an exemplary PRMMC material,WC-Co,are predicted under three independently varied tensile and shear stresses.In order to cover the entire load space with least amount of weight factors,a new method for generating optimally distributed weight factors in an n dimensional space is formulated.Employing weight factors determined by this algorithm,direct method calculations were performed on many statistically equivalent representative volume elements(SERVE)samples.Through analyzing statistical characteristics associated with results the study suggests a simplified approach to estimate the material strength under superposed stresses without solving the difficult high dimensional shakedown problem.展开更多
文摘In recent years,high fidelity numerical models simultaneously reflecting the behaviors of mechanical systems and their underlying materials have gradually become an indispensable part of modern mechanical and production engineering.In different contexts,the attempt to bridge me chanical engineering with materials science and to replace phenomenological models by the physical ones are named either as integrated computational materials engineering(ICME)or integrated structures and materi als design(ISMD).
基金Supported by the National Natural Science Foundation of China(Grant No.52075033)Fundamental Research Funds for the Central Universities of China(Grant No.2020RC202).
文摘For design and application of particulate reinforced metal matrix composites(PRMMCs),it is essential to predict the material strengths and understand how do they relate to constituents and microstructural features.To this end,a computational approach consists of the direct methods,homogenization,and statistical analyses is introduced in our previous studies.Since failure of PRMMC materials are often caused by time-varied combinations of tensile and shear stresses,the established approach is extended in the present work to take into account of these situations.In this paper,ultimate strengths and endurance limits of an exemplary PRMMC material,WC-Co,are predicted under three independently varied tensile and shear stresses.In order to cover the entire load space with least amount of weight factors,a new method for generating optimally distributed weight factors in an n dimensional space is formulated.Employing weight factors determined by this algorithm,direct method calculations were performed on many statistically equivalent representative volume elements(SERVE)samples.Through analyzing statistical characteristics associated with results the study suggests a simplified approach to estimate the material strength under superposed stresses without solving the difficult high dimensional shakedown problem.
