随机风浪下的游艇稳性可靠度计算

建立游艇横摇运动微分方程,利用马尔科夫过程理论和路径积分法进行求解,得到游艇横摇角概率密度函数。借鉴结构可靠性计算方法建立游艇稳性概率计算模型,采用当量正态化法(JC法)求解得到游艇稳性可靠度。实例计算表明:游艇在不同海域下的稳性可靠度存在一定差异,随着外界风浪增大,游艇稳性可靠度呈逐步下降趋势,且都存在一个快速下降的波高区间。该方法能够更科学地评判游艇在不同航行条件下的稳性状况,是游艇稳性横准研究的发展方向之一。     

新五维超混沌系统反同步研究

以新五维超混沌系统为对象，基于Lyapunov稳定性理论，采用非线性控制法、主动控制法及全局控制法，分别设计了控制器，实现了新五维超混沌系统的反同步。通过数值仿真，对三种方法的反同步效果进行了验证和对比分析，结果显示主动控制法优于其它两种方法。     

保证路基长期稳定性的技术措施研究

路基长期稳定性是一个综合性的问题,要想通过设计或施工一劳永逸的解决,在技术上是困难的,在经济上也是不适宜的。只有通过对设计、施工、养护三者综合考虑,把握影响路基长期稳定性的关键因素,才能经济、合理地解决该问题,使公路更好地为经济建设服务。     

On a link-based day-to-day traffic assignment model

In this paper, we perform a rigorous analysis on a link-based day-to-day traffic assignment model recently proposed in He et al. (2010). Several properties, including the invariance set and the constrained stability, of this dynamical process are established. An extension of the model to the asymmetric case is investigated and the stability result is also established under slightly more restrictive assumptions. Numerical experiments are conducted to demonstrate the findings.     

浅水波作用下护底块石对斜坡式护岸稳定性影响

在水深较小,原泥面为斜坡岩基的场区建造护岸时,应重视护底块石的设计。波浪在护底块石的上方发生破碎,卷破波对护底块体产生沿海侧方向的拖拽作用,从而导致护底块石失稳并引起护面块体的滑动。结合某护岸加固工程的方案设计和物理模型试验成果,提出在护底设计中,应结合增加护底块石质量与增大原泥面糙率两种措施制定护底块石方案;有条件时可通过增加护底长度或埋深的方式设置护底。     

关于木材运输船安全运输的几点分析

木材船海上运输具有一定的风险,一旦积载和绑扎不当或管理不妥,造成货物滚动、移位、货垛倒塌,就会引发安全事故甚至导致船舶倾覆。因此,加强木材船的安全管理,落实各项安全保障措施,是确保木材船安全运输生产的重要举措。     

基于CUDA的散货船稳性并行计算

为提高散货船配载仪中船舶稳性计算速度,通过使用CUDA(Compute Unified Device Architecture)对稳性计算过程进行并行加速.首先基于CGAL(Computational Geometry Algorithms Library)中的切片模块按肋位纵向切割船体型表面,得到每个肋位处横剖面型值数据;然后对横剖面型值数据进行等距偏移模拟板厚,得到各肋位处的外板数据;然后将外板数据发往GPU;在GPU中通过水线面和外板数据求解并行计算雅克比矩阵系数;最后将雅可比矩阵系数传回CPU,求解稳性方程组.     

钢檩条设计中的若干问题

轻型屋面钢檩条的竖向荷载、整体稳定性计算以及檩条与屋面梁、屋架的连接构造是设计的重要环节,本文结合规范和国家标准设计图的编制提出若干问题,供参考.     

薄基岩顶板隧道爆破施工围岩稳定性分析

为更有效地进行薄基岩顶板条件下隧道施工安全控制,以某高速公路隧道为工程背景,运用数值模拟的方法,分别研究不同顶板厚度下隧道爆破施工引起的围岩振速分布特征及其对围岩的损伤情况,并进行围岩稳定性分析。结果表明:1)当顶板厚度在5 m及以上时,围岩是稳定的;2)当顶板厚度为3 m时,最危险横断面上基岩顶板内开始产生严重的拉伸裂缝及一些径向裂缝,将形成超挖;3)当顶板厚度≤2 m时,径向裂缝贯穿顶板岩体,围岩稳定性较差,在掌子面后1 m内可能发生塌落、掉块等事故。     

Magneto-rheological suspensions for improving ground vehicle’s ride comfort,stability, and handling

ABSTRACT

A state-of-the-art discussion on the applications of magneto-rheological (MR) suspensions for improving ride comfort, handling, and stability in ground vehicles is discussed for both road and rail applications. A historical perspective on the discovery and engineering development of MR fluids is presented, followed by some of the common methods for modelling their non-Newtonian behaviour. The common modes of the MR fluids are discussed, along with the application of the fluid in valve mode for ground vehicles’ dampers (or shock absorbers). The applications span across nearly all road vehicles, including automobiles, trains, semi-trucks, motorcycles, and even bicycles. For each type of vehicle, the results of some of the past studies is presented briefly, with reference to the originating study. It is discussed that Past experimental and modelling studies have indicated that MR suspensions provide clear advantages for ground vehicles that far surpasses the performance of passive suspension. For rail vehicles, the primary advantage is in terms of increasing the speed at which the onset of hunting occurs, whereas for road vehicles – mainly automobiles – the performance improvements are in terms of a better balance between vehicle ride, handling, and stability. To further elaborate on this point, a single-suspension model is used to develop an index-based approach for studying the compromise that is offered by vehicle suspensions, using the H₂ optimisation approach. Evaluating three indices based on the sprung-mass acceleration, suspension rattlespace, and tyre deflection, it is clearly demonstrated that MR suspensions significantly improve road vehicle’s ride comfort, stability, and handling in comparison with passive suspensions. For rail vehicles, the simulation results indicate that using MR suspensions with an on-off switching control can increase the speed at which the on-set of hunting occurs by as much as 50% to more than 300%.