Open AccessThe combination of numerical simulation of strong dynamic loading effects and big data technologies
Author(s) -
Guoliang Deng
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1507/8/082036
Subject(s) - computer science , big data , computer simulation , noise (video) , dynamic simulation , nonlinear system , distortion (music) , simulation , data mining , artificial intelligence , amplifier , computer network , bandwidth (computing) , physics , quantum mechanics , image (mathematics)
Near the zones of impact, explosion and other strong dynamic loading, the stress peak is very high, action time is very short, and the medium distortion is very large. The involving scientific problems are strong nonlinearity, multi-physics coupling, and so on. Numerical simulation and experimental investigation are mainly research method for these effects. However, the difficulty of the numerical simulation is at the top of the pyramid of scientific computation, and the noise, simulation is not true , is the biggest trouble currently existed. The emergence of big data technologies provides a feasible way to solve the current dilemma and realize accurate numerical simulation. Combination the big data technologies, such as data acquisition, infrastructure, data mining, statistical analysis, model prediction and so on, the numerical simulation of strong dynamic load effects is possible to achieve precision by automation of solver, intelligence of material state description library, expertization of human-computer interaction interface, credibility of simulation result data, virtual reality of simulation image. The combination of big data technology and numerical simulation will be the key to research the strong dynamic load effects, which would realize the transformation from numerical simulation to digital experiment, and the noise, simulation is not true , would be disappear completely.