ИСТИНА

In the conditions of Industry 4.0, intelligent operations are automated in the design of new products, structures, technological processes (including additive manufacturing) and new materials (especially metamaterials, “smart” materials, composites). In addition, the tools used by specialists in the field of structural mechanics and their role in both fundamental research and applied development have changed. Mechanics has historically been the basis for conducting verification of strength calculations when designing new products and making decisions about the service life of a product based on monitoring data during its operation. With the development and implementation of engineering analysis systems (CAE – Computer Aided Engineering), it became possible to completely automate the process of solving differential equations that describe the formulation of the problem. When using CAE systems, the designer or simulation analyst sets the structure (CAD - model) and boundary conditions, selects a material model (constitutive relationships), and then the stress-strain state is automatically calculated. The presentation, using the example of the implementation of models and methods of computational mechanics in the industrial CAE Fidesys (www.cae-fidesys.com), demonstrates that such an implementation allows researchers to solve the necessary problems without a deep understanding and detailed elaboration of mathematical and mechanical formulations. In particular, spectral element method implementation is considered for the case of nonconformal unstructured hybrid meshes used for the discretization of complex CAD-models with geometrical issues (like gaps or overlaps). This technology allows a researcher to perform numerical modeling without any preliminary modification of the CAD-model and the requirement of mesh conformity at the boundaries between parts in the assembly, which takes up to 80% of the time for preparing FEM model. The structure of CAE Fidesys, its functionality and examples of solved industrial problems for both mechanical engineering and the mining and oil and gas industries are given. The research was performed at Lomonosov Moscow State University with the financial support from the Russian Science Foundation (grant no. 22-11-00110).