Finite-volume simulation method to predict the performance of a sailing boat

 A flow-simulation method was developed to predict the performance of a sailing boat in unsteady motion on a free surface. The method is based on the time-marching, finite-volume method and the moving grid technique, including consideration of the free surface and the deformation of the under-water shape of the boat due to its arbitrary motion. The equation of motion with six degrees of freedom is solved by the use of the fluid-dynamic forces and moments obtained from the flow simulation. The sailing conditions of the boat are virtually realized by combining the simulations of water-flow and the motion of the boat. The availability is demonstrated by calculations of the steady advancing, rolling, and maneuvering motions of International America's Cup Class (IACC) sailing boats. Received: December 25, 2001 / Accepted: March 26, 2002     

利用粒子群优化算法进行桥梁维修管理计划的优化

制定桥梁维修管理计划是一项非常繁杂的工程优化难题,使用常用的优化算法很难取得满意的结果。利用耐荷性和耐久性作为桥梁的健康指数,考虑维修方案和维修费用的问题,用费用最小化和品质最大化2种方案建立了桥梁维修管理的优化模型。探讨利用粒子群优化算法(PSO)求最优桥梁维修管理计划的解的可能性,并与作者开发系统中的遗传算法(SGA)和免疫遗传算法(IA)进行了比较,运用多样度的概念说明了粒子群优化算法(PSO)在解决这类问题的先进性。结果表明,粒子群优化算法(PSO)对于桥梁维修管理计划的优化是一种普适高效的算法;而且,考虑维修的管理期间越长,应用粒子群优化算法求解问题收敛性与其他2种方法相比显得更好,得到准最优解的频率也更高。