Study On Theory And Application Of Intelligent Flow Simulation

On the opinions of intelligence and system, this paper probed into the problems of intelligentizing flow simulation through intelligence science combining with hydroscience. Main innovations and achievements on research include:(l)The history of flow study was investigated and necessity of intelligentizing flow simulation was demonstrated.(2) Uncertain problems in flow simulation were pointed, and approaches to solve those were presented.(3) Conceptions of Flow Intelligent Model (FIM) were defined; and system info of intelligent flow simulation was founded.(4) Principle of model equipollence and theories of flow system intelligent identification (including flow model intelligent identification and flow parameters intelligent identification) were presented.(5) On the basis of Simple Genetic Algorithms (SGA) and Accelerating Genetic Algorithms (AGA), Generalized Genetic Algorithms (GGA) was created, which can consider ancestor's genes.(6) Intelligent identification models of flow system were fully studied based on Artificial Neural Networks (ANN). ANN identification model of flow system based on π-theorem and ANN identification models of flow static system and flow dynamic system were presented. Those model theories were applied to calculate the key variables of greyhound's wake field and rapidly simulate penetrating frame-tetrahedron's wake field, and provided a new idea on those problems settlement.(7) Intelligent simulation of complicated river networks was studied based on FIM theory. General intelligent models of steady flow and unsteady flow in river networks were presented, and real-time unsteady flow simulation on Pudong river networks was investigated.(8) As engineering practice, FIM theory was applied to programming and flat construction engineering of Pudong locks intelligent control information management system. On the background of Pudong water management information engineering and according to FIM's kernels, locks intelligent control aided decision models were presented, and the problem of multi-locks united control on complicated river networks was solved.(9) Some attitudes from author were indicated about artificial intelligence and its application to hydroscience; and hydrointelligentics and Flow Intelligence Engineering (FIE) were presented for the first time and provided new academic thoughts to investigations of kindred subjects.(10) In the end, study works were summed up, and study focuses about the subject in the future were expected.