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Multi-objective Optimal Design Of The Non-pressure Hull In Manned Submersible

Posted on:2016-10-08Degree:MasterType:Thesis
Country:ChinaCandidate:G X HuFull Text:PDF
GTID:2322330542973903Subject:Engineering
Abstract/Summary:PDF Full Text Request
Non-pressue Frame Structure is the installation foundation of subsystems device of Manned Submersible.It is the main load-carrying structure concerning submersible launching and retrieve as well as the mother ship lashing,which can significantly affect the safety and performance of manned submersible.Thus,it is of tremendous importance to optimize the design of Non-pressue frame structure.This paper is based on approximate model technology and multi-objective optimal theory,non-pressue frame structure optimial design have been performed.Robust optimization design for non-pressue frame structure haven been carried out based on robust design theory.Considering the traditional optimization design cann't realize automatic calculation and continuous optimization,this paper build a parametric model of frame structure using APDL language and set up a optimizing design process of frame structure through integrating ANSYS with ISIGHT software.Based on the design experiment,this paper completes the choose of frame structure design variables through analyzing sensitive degrees of design variable and builds response surface approximation model through the precision analysis of approximate mode.Single objective and multi-objective optimial design of frame structure are carried out using response surface approximation model combined with an intelligent optimization algorithm.Compared with the result of FEA result,the correctness of optimial result is peformed.Finally this paper carries out robust optimization design based on the 6 ? robust optimization principles,experiment design,approximation model and Monte Carlo simulation technique,improving the robustness of frame structure.
Keywords/Search Tags:HOV Non-pressure Frame Structure, Approximate Model, Multi-Objective Optimial Design, Robust Optimial Design
PDF Full Text Request
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