为了研究柱体结构的涡激振动特性预测方法,首先基于Van der Pol尾流振子模型建立了弹性支撑单自由度柱体的涡激振动模型。然后基于计算流体力学(CFD)方法、结构动力学理论以及嵌套网格技术,同时考虑弹性支撑柱体来流向和横向振动,建立...为了研究柱体结构的涡激振动特性预测方法,首先基于Van der Pol尾流振子模型建立了弹性支撑单自由度柱体的涡激振动模型。然后基于计算流体力学(CFD)方法、结构动力学理论以及嵌套网格技术,同时考虑弹性支撑柱体来流向和横向振动,建立了柱体结构的涡激振动高保真仿真模型。通过与国外文献实验数据对比,验证了两种模型的准确性。计算结果表明,在低质量比情况下,Van der Pol尾流振子模型在约化速度较小区域计算误差很大,在柱体振幅最大值附近误差较小,基本上可以捕捉到柱体的涡激振动特性,可以用于工程上快速预测柱体结构的涡激振动特性;在低质量比、高质量比以及指定的约化速度范围内,采用CFD方法和嵌套网格技术,可以避免由于柱体振幅较大引起的网格畸变和负网格问题,且可以获得较好的计算精度和详细的流场信息,但计算效率相比Van der Pol尾流振子模型较低。展开更多
In order to reduce the total resistance of a hull, an optimization framework for the bulbous bow optimization was presented. The total resistance in calm water was selected as the objective function, and the overset m...In order to reduce the total resistance of a hull, an optimization framework for the bulbous bow optimization was presented. The total resistance in calm water was selected as the objective function, and the overset mesh technique was used for mesh generation. RANS method was used to calculate the total resistance of the hull. In order to improve the efficiency and smoothness of the geometric reconstruction, the arbitrary shape deformation （ASD） technique was introduced to change the shape of the bulbous bow. To improve the global search ability of the particle swarm optimization （PSO） algorithm, an improved particle swarm optimization （IPSO） algorithm was proposed to set up the optimization model. After a series of optimization analyses, the optimal hull form was found. It can be concluded that the simulation based design framework built in this paper is a promising method for bulbous bow optimization.展开更多
文摘为了研究柱体结构的涡激振动特性预测方法,首先基于Van der Pol尾流振子模型建立了弹性支撑单自由度柱体的涡激振动模型。然后基于计算流体力学(CFD)方法、结构动力学理论以及嵌套网格技术,同时考虑弹性支撑柱体来流向和横向振动,建立了柱体结构的涡激振动高保真仿真模型。通过与国外文献实验数据对比,验证了两种模型的准确性。计算结果表明,在低质量比情况下,Van der Pol尾流振子模型在约化速度较小区域计算误差很大,在柱体振幅最大值附近误差较小,基本上可以捕捉到柱体的涡激振动特性,可以用于工程上快速预测柱体结构的涡激振动特性;在低质量比、高质量比以及指定的约化速度范围内,采用CFD方法和嵌套网格技术,可以避免由于柱体振幅较大引起的网格畸变和负网格问题,且可以获得较好的计算精度和详细的流场信息,但计算效率相比Van der Pol尾流振子模型较低。
基金financially supported by the National Natural Science Foundation of China(Grant No.51009087)the National Science Foundation of Shanghai(Grant No.14ZR1419500)
文摘In order to reduce the total resistance of a hull, an optimization framework for the bulbous bow optimization was presented. The total resistance in calm water was selected as the objective function, and the overset mesh technique was used for mesh generation. RANS method was used to calculate the total resistance of the hull. In order to improve the efficiency and smoothness of the geometric reconstruction, the arbitrary shape deformation （ASD） technique was introduced to change the shape of the bulbous bow. To improve the global search ability of the particle swarm optimization （PSO） algorithm, an improved particle swarm optimization （IPSO） algorithm was proposed to set up the optimization model. After a series of optimization analyses, the optimal hull form was found. It can be concluded that the simulation based design framework built in this paper is a promising method for bulbous bow optimization.
