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Computational fluid dynamics coupled with discrete element method (CFD‐DEM) has been widely used to understand the complicated fundamentals inside gas–solid fluidized beds. To realize large‐scale simulations, CFD‐DEM integrated with coarse‐grain model (CG CFD‐DEM) provides a feasible solution, and has led to a recent upsurge of interest. However, when dealing with large‐scale simulations involving irregular‐shaped particles such as biomass particles featuring elongated shapes, current CG models cannot function as normal because they are all developed for spherical particles. To address this issue, a CG CFD‐DEM for nonspherical particles is proposed in this study, and the morphology of particles is characterized by the super‐ellipsoid model. The effectiveness and accuracy of CG CFD‐DEM for nonspherical particles are comprehensively evaluated by comparing the hydrodynamic behaviors with the results predicted by traditional CFD‐DEM in a gas–solid fluidized bed. It is demonstrated that the proposed model can accurately model gas–solid flow containing nonspherical particles, merely the particle dynamics are somewhat lost due to the scaleup of particle size. Finally, the calculation efficiency of CG CFD‐DEM is assessed, and the results show that CG CFD‐DEM can largely reduce computational costs mainly by improving the calculation efficiency of DEM. In general, the proposed CG CFD‐DEM for nonspherical particles strikes a good balance between efficiency and accuracy, and has shown its prospect as a high‐efficiency alternative to traditional CFD‐DEM for engineering applications involving nonspherical particles.

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In this study, 223 primary and secondary school teachers in Shandong province were selected to examine the effect of work-family conflict on occupational well-being, using the questionnaire of work-family conflict, occupational well-being and psychological capital as measuring instruments. We further explored the mediating role of psychological capital between work-family conflict and occupational well-being. The obtained data were analyzed using SPSS20.0, AMOS16.0 and M-plus 7.0. Results revealed that (1) Work-family conflict was negatively correlated with the occupational well-being and psychological capital of primary and secondary school teachers, and negatively predicted occupational well-being and psychological capital of primary and secondary school teachers; (2) Psychological capital had a significant positive correlation with the occupational well-being of primary and secondary school teachers, and significantly predicted the occupational well-being of primary and secondary school teachers; (3) Psychological capital of primary and secondary school teachers played a mediating role in work-family conflict and occupational well-being.