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Particle image velocimetry measurement of velocity distribution at inlet duct of waterjet self-propelled ship model 被引量:1
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作者 龚杰 郭春雨 +1 位作者 吴铁成 赵大刚 《Journal of Hydrodynamics》 SCIE EI CSCD 2017年第5期879-893,共15页
A vehicle-mounted three-dimensional underwater particle image velocimetry(PIV) device is used in a towing tank to measure the velocity distribution of the inlet duct of a waterjet ship model in a self-propulsion tes... A vehicle-mounted three-dimensional underwater particle image velocimetry(PIV) device is used in a towing tank to measure the velocity distribution of the inlet duct of a waterjet ship model in a self-propulsion test. The following points are shown through a comparison of the influences of the stationary and free states of the ship model on the measured results:(1) during the test, the ship attitude will change, specifically, the ship model will heave and trim,(2) the degree of freedom disturbs the processing of the pixel images enough to distort the subsequent image processing,(3) the stationary state of the ship model is the optimal mode for measuring the velocity distribution using the PIV device, and(4) if the changes must be considered, the man-made heaving and trimming may be pre-applied, and be made a corrected stationary mode. In addition, the momentum effect coefficient and the energy effect coefficient are calculated in a non-uniform inflowing state, and the related factors affecting the two coefficients are analyzed. The test results show that the pumping action of the waterjet creates a transverse vector in the cross-sectional speed, which increases the non-uniformity of the inflow. These results could help to establish the design requirements for a waterjet-propelled ship type. 展开更多
关键词 particle image velocimetry(PIV) velocity distribution profile degree of freedom transverse vector
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Research on the Optimization Approach for Cargo Oil Tank Design Based on the Improved Particle Swarm Optimization Algorithm 被引量:1
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作者 姜文英 林焰 +1 位作者 陈明 于雁云 《Journal of Shanghai Jiaotong university(Science)》 EI 2015年第5期565-570,共6页
Based on the improved particle swarm optimization(PSO) algorithm,an optimization approach for the cargo oil tank design(COTD) is presented in this paper.The purpose is to design an optimal overall dimension of the car... Based on the improved particle swarm optimization(PSO) algorithm,an optimization approach for the cargo oil tank design(COTD) is presented in this paper.The purpose is to design an optimal overall dimension of the cargo oil tank(COT) under various kinds of constraints in the preliminary design stage.A non-linear programming model is built to simulate the optimization design,in which the requirements and rules for COTD are used as the constraints.Considering the distance between the inner shell and hull,a fuzzy constraint is used to express the feasibility degree of the double-hull configuration.In terms of the characteristic of COTD,the PSO algorithm is improved to solve this problem.A bivariate extremum strategy is presented to deal with the fuzzy constraint,by which the maximum and minimum cargo capacities are obtained simultaneously.Finally,the simulation demonstrates the feasibility and effectiveness of the proposed approach. 展开更多
关键词 cargo oil tank optimization design nonlinear programming improved particle swarm optimization(PSO)algorithm fuzzy constraint construction feasibility degree
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