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The Research Of System Analysis And Application Of The Water Conservancy Projects

Posted on:2009-08-16Degree:MasterType:Thesis
Country:ChinaCandidate:J B TaoFull Text:PDF
GTID:2132360245968309Subject:Structure engineering
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Compare with such as Electrical Engineer and Mechanical Engineer etc discipline research areas.Civil Engineer has large fuzzy and random nature,by the development of discipline continue,Through system analysis the many problem's research can obtain certain results,so use Optimization analysing and determining conclusion will develop gradually.It is illustrate the system analysis produce more and more important affection at civil engineer theory research and project application.The research of system analysis includes 5 parts. And give many calculated examples.1. set up system's mode-Hybrid Lotka-Volterra modeIntegrat Lotka-Volterra competition model with mutually beneficial model,obtain Hybrid Lotka-Volterra mode .The relationship of population: It is represent a cycle of competition for a period of time and mutual benefit for a period of time, And prove that the model Equilibrium point's local progressive stability and global stability.2. system prediction- Thinking about fuzzy region and application of grey model A.A.Mapkob in prediction of flood embankment horizontal displacementUseing grey system theory and fuzzy mathematics method,establish the thinking about fuzzy region grey model A.A.Mapkob.3. nonlinear optimization algorithm- calculating structure reliability engineeringGiving C++ procedures for calculating structural reliability,and the performance function which Meet the Response Surface Method.The article also put forward a proposal use divided mesh method and coarse divided mesh method which can avoids dimensional disaster when calculating the geometric reliability.Useing parallel coarse divided mesh method to calculating the geometric reliability.Structure analysis of the major projects when application of geometric reliability,the structure function which as constraint more complex or is an implicit. It is necessary to use penalty function change constrained optimization into non-constrained optimization problem.It had analysed possible cheats of penalty un-ultimate state. It has proposes use structure fail area variable to calculate geometric reliability,obtain a un-introduce penalty function's non-constrained optimization problem.4. System simulation- Simulation AlgorithmThe natural species survival of the fittest.The competition of many populations,it must have a certain population, the most diversity of individuality population(MDP). This population we call the MDPAccording to the following factors to update each population's individualities at every generation:self, the population's best individuality, other population's best individuality (it also can use the best individuality), MDP random individuality, the More Diverse population(This population to identify the most diverse population by itself) random individuality.The realization of the double competition at the individuality survival of the fittest and the individual diversity of populations. The population who have better adaptability and better diversity of individualities will generate more individuality. At the "double competition" optimization mechanism,it will gradually approach the best solution.When imitate the destroyed habitat the populations adapt themselves gradually by generation, obtain the destroyed habitat CPA-DHCPA.In genetic algorithm individual select strategy, Holland proposed use the roulette gambling strategy of individual selection.So the better individualities greater probability of being selected.At DHCPA use the smart individual select strategy. When the small size of population,better individualities in a small probability at the next generation, this will lead to CPA convergence rate become slow, so we enhance the selected probability of better individualities. When the large size of population, so we reduce the selected probability of better individualities.The smart individual select strategy the probability of select the better individualities increase gradually by generation.At the initial iteration, due to the habitat destruction, size of population gradually reduce and eliminate the inferior individualities of population to accelerate convergence; With the population enhance the ability of well-being toward habitat destruction, increase size of population,so the population searching to avoid a local optimum, The adaptability and diversity of individualities of the population has decided to the increase speed of the population size.It has modified PSO inertia weight.The inertia weight not only think about its longitudinal linear change by generation; but also think about current and up to now best results of particles adaptation sequence's lateral linear change which rearrange by adaptation good or bad. The lateral linear upper bound un-change and lower bound become small,so the lateral linear range expend gradually.The inertia weight will generate more negative value by generation increasing.5. System evaluation-AHPThe n order judgment matrix, through select n-1 elements aij, ajk,…, alm, amn to obtain all different weight vectors [wi, Wj, wk,…, Wl, wm, wn] .To form the weight vector assemblage.Evaluate consistency weight vector in assemblage,the weight vector which is summation part of worse consistency weight vector, through GLSM correct this weight vector. Correct weight vector and un-correct weight vector population to decide final judgment matrix weight vector.And application such as prediction of flood embankment horizontal displacement ,calculation of critical water depth problem, calculating structure reliability and earth dam Slope Stability Analysis.
Keywords/Search Tags:Hybrid Lotka-Volterra mode, grey system, fuzzy region, geometric reliability, penalty function, CPA, smart selection, destroyed habitat, PSO, inertia weight, adaptation sequence, AHP
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