The underwater installation of marine equipment in deep-water development requires safe lifting and accurate positioning. The heave compensation system is an important technology to ensure normal operation and improve...The underwater installation of marine equipment in deep-water development requires safe lifting and accurate positioning. The heave compensation system is an important technology to ensure normal operation and improve work accuracy. To provide a theoretical basis for the heave compensation system, in this paper, the continuous modeling method is employed to build up a coupled model of deep-water lifting systems in vertical direction. The response characteristics of dynamic movement are investigated. The simulation results show that the resonance problem appears in the process of the whole releasing load, the lifting system generates resonance and the displacement response of the lifting load is maximal when the sinking depth is about 2000 m. This paper also analyzes the main influencing factors on the dynamic response of load including cable stiffness, damping coefficient of the lifting system, mass and added mass of lifting load, among which cable stiffness and damping coefficient of the lifting system have the greatest influence on dynamic response of lifting load when installation load is determined. So the vertical dynamic movement response of the load is reduced by installing a damper on the lifting cable and selecting the appropriate cable stiffness.展开更多
This paper proposes an individual fitness method genetic algorithm(IFM-GA)for carbon fiber-reinforced plastic(CFRP).The strength of CFRP depends on the carbon fiber allocation and orientation.Waste carbon fiber is gen...This paper proposes an individual fitness method genetic algorithm(IFM-GA)for carbon fiber-reinforced plastic(CFRP).The strength of CFRP depends on the carbon fiber allocation and orientation.Waste carbon fiber is generated if this design is inappropriate.Consequently,CFRPs are less cost-effective.It is necessary to optimize the allocation and orientation as design variables to solve this problem.The problem involves combinatorial optimization.The genetic algorithm(GA)is suitable for combinatorial optimization.However,it is difficult to obtain an optimal solution using the GA owing to the large number of combinations.Hence,the IFM-GA is developed in this study.It is a GA-based method with a different fitness calculation.The GA calculates the fitness of each design,whereas the IFM-GA calculates the fitness of each design element.As a result,the IFM-GA yields a higher-stiffness design than the GA.To conclude,the IFM-GA can enable optimum fiber allocation and orientation,whereas the GA cannot.展开更多
基金sponsored by the Major Projects of National Science and Technology (2011ZX05056-003)
文摘The underwater installation of marine equipment in deep-water development requires safe lifting and accurate positioning. The heave compensation system is an important technology to ensure normal operation and improve work accuracy. To provide a theoretical basis for the heave compensation system, in this paper, the continuous modeling method is employed to build up a coupled model of deep-water lifting systems in vertical direction. The response characteristics of dynamic movement are investigated. The simulation results show that the resonance problem appears in the process of the whole releasing load, the lifting system generates resonance and the displacement response of the lifting load is maximal when the sinking depth is about 2000 m. This paper also analyzes the main influencing factors on the dynamic response of load including cable stiffness, damping coefficient of the lifting system, mass and added mass of lifting load, among which cable stiffness and damping coefficient of the lifting system have the greatest influence on dynamic response of lifting load when installation load is determined. So the vertical dynamic movement response of the load is reduced by installing a damper on the lifting cable and selecting the appropriate cable stiffness.
文摘This paper proposes an individual fitness method genetic algorithm(IFM-GA)for carbon fiber-reinforced plastic(CFRP).The strength of CFRP depends on the carbon fiber allocation and orientation.Waste carbon fiber is generated if this design is inappropriate.Consequently,CFRPs are less cost-effective.It is necessary to optimize the allocation and orientation as design variables to solve this problem.The problem involves combinatorial optimization.The genetic algorithm(GA)is suitable for combinatorial optimization.However,it is difficult to obtain an optimal solution using the GA owing to the large number of combinations.Hence,the IFM-GA is developed in this study.It is a GA-based method with a different fitness calculation.The GA calculates the fitness of each design,whereas the IFM-GA calculates the fitness of each design element.As a result,the IFM-GA yields a higher-stiffness design than the GA.To conclude,the IFM-GA can enable optimum fiber allocation and orientation,whereas the GA cannot.
