Challenges arise in finite element (FE) analyses that predict mechanical failure in wood-based materials because their structural complexity is difficult to mimic. When considered at the macro scale, wood and engineered wood composites can reasonably be assumed to behave as homogenous continua. However, accurate meso- and micro-scale representations require a different approach. Models employing discrete FEs are robust tools for detailed failure analysis, because the elements can be made to mimic the functions of morphological structures in the material. Hybrid models that meld continuum and discrete FEs also show good promise as generalised analysis tools, but as yet their development is in its infancy. In the future, beyond mechanical damage, other energy sinks also need to be included in models, and computational efficiency should be improved. In this overview, the advantages and limitations of alternative FE representations are demonstrated in terms of failure processes in wood-based materials via case analyses.
The COVID-19 pandemic has caused major disruptions in every sector of human activity around the world. The education sector is no exception. Due to physical restrictions in accessing campus infrastructures, students and instructors at academic institutions have forcibly adapted to the new norm of virtual learning with mixed expectations and outcomes. There have been several studies conducted by educational practitioners since the pandemic began, which mostly focused on how academic constituents quickly adapt to virtual learning in a general sense. The main objective of this study is to examine the effects of virtual learning infrastructure and environment on student learning, specific to the civil engineering program at Prince Mohammad Bin Fahd University (PMU). A survey was distributed to civil engineering students at PMU at the end of the fall 2020 term to gather perceptions about virtual learning and check the adequacy of online learning tools and associated environments. Student performance during virtual learning in terms of grade achievement was also investigated and compared with a normal situation. In general, it was found that students are satisfied with the current technology used to facilitate virtual learning. The anticipated outcomes of this study, including online technology readiness, curriculum adjustment, and teaching styles or methods, are to be used for virtual learning improvement should the current pandemic restriction extend to the end of the 2020–21 academic year and possibly far beyond.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.