Abstract:
The work is devoted to the analysis of the principles of constructing the web laboratories intended for supercomputer mathematical modeling of complex physical processes and phenomena. The main goals of such digital platforms are the automation of computational experiments, formation of a knowledge base and ensuring collaboration of researchers in a subject area. The work discusses the solutions that exist today and the principles for constructing subject-oriented platforms. Based on the analysis performed, a web laboratory related to solving spraying problems was developed and implemented. The work provides the architecture and details of the software implementation of the platform. Its main advantages are the ability to dynamically integrate problem-oriented applications and remote computing resources. The implemented web laboratory was tested through a series of computational experiments on model problems of supersonic cold gas-dynamic spraying. The work suggests directions for the subsequent development of the original web laboratory.