基于Python语言的ABAQUS前处理程序在内凹蜂窝的应用

基于Python语言,在ABAQUS有限元通用平台上开发了用于内凹六边形负泊松比蜂窝结构自动建模的程序。内凹六边形负泊松比蜂窝力学性能的研究中,通常需要进行变参数的系列计算。为提高计算效率,首先对蜂窝进行离散和参数化表达,用Python语言开发蜂窝单胞结构自动建模的程序；在此基础上,进行双向阵列操作获得内凹六边形蜂窝结构；最后,通过与内凹蜂窝局部压缩试验结果的对比,验证了有限元自动建模方法的正确性。基于Python 的ABAQUS自动建模二次开发的思路,可以大大减轻变参数系列分析过程中的工作量,提高有限元分析效率。     

A simulation study of service differentiation for the bandwidth request scheme in fixed IEEE 802.16 network

Various flexible mechanisms related to quality of service (QoS) provisioning have been specified for uplink traffic at the medium access control (MAC) layer in the IEEE 802.16 standards. Among the mechanisms, contention based bandwidth request scheme can be used to indicate bandwidth demands to the base station for the non-real-time polling and best-effort services. These two services are used for most applications with unknown traffic characteristics. Due to the diverse QoS requirements of those applications, service differentiation (SD) is anticipated over the contention based bandwidth request scheme. In this paper we investigate the SD with the bandwidth request scheme by means of assigning different channel access parameters and bandwidth allocation priorities at different packets arrival probability. The effectiveness of the differentiation schemes is evaluated by simulations. It is observed that the initial backoff window can be efficient in SD, and if combined with the bandwidth allocation priority, the SD performances will be better. Foundation item: the National Basic Research Program (973) of China (No. 2005C13321804)     

An range-free localization scheme for large scale underwater wireless sensor networks

In this paper, we study an area localization problem in large scale underwater wireless sensor networks (UWSNs). The limited bandwidth, the severely impaired channel and the cost of underwater equipment all make the underwater localization problem very challenging. Exact localization is very difficult for UWSNs in deep underwater environment. We propose a range free method based on mobile detachable elevator transceiver (DET) and 3D multi-power area localization scheme (3D-MALS) to address the challenging problem. In the proposed scheme, the ideas of 2D multi-power area localization scheme (2D-ALS) and utilizing DET are used to achieve the simplicity, location accuracy, scalability and low cost performances. The DET can rise and get down to broadcast its position. And it is assumed that all the underwater nodes underwater have pressure sensors and know their z coordinates. We evaluate the performances of 2D-ALS and our proposed 3D-MALS schemes under both ideal and non-ideal channel propagation conditions, in terms of localization error and localization ratio. The simulation results show that our proposed scheme is much more efficient than the 2D-ALS.     

海水源变频模块化冷热水机组在船舶中的应用

本文介绍了一种新型海水源变频模块化冷热水机组在某船舶中的应用,也括项目概况、负荷计算过程、机组比选和方案介绍等。并列出了全船空调整系统的原理图。     

武汉地铁王-宗区间矿山段 拱顶塌方原因分析及处理方案

矿山法已在城市轨道交通建设中得到广泛应用,本文以武汉市轨道交通3号线王家湾站-宗关站区间矿山法左隧道塌方事故为研究对象,经过现场诊断分析,认为拱顶塌方主要原因为：拱顶上方的10-2黏土层受裂隙水的浸泡,发生软化变为流塑状,进而引发涌泥突水造成塌方。本文重点介绍了塌方前后采取的处理措施：稳定左线塌方土体,加固右线已开挖段及左右线之间的土体。经过多方案比选,最终得到较为合理可行的复工方案。最后,本文针对地铁王-宗区间塌方原因及处理措施进行了总结,得到相关结论,可为后续工程提供参考借鉴。     

满意优化在建立网络设计期模型中的应用

将多目标满意优化模型用于解决网络设计期优化问题.对同时优化链路容量与路由选择问题的CFA模型提出相应的满意优化模型.并分别为建造总费用与全网利用率这两个指标选择适合它们的满意度函数,最后得出设计优化问题的综合满意度函数.该方法在实际运用中显得更加灵活,也更有效率.     

武汉轨道交通 3 号线越江区间 穿越复杂地层处理措施

依托武汉轨道交通 3 号线王—宗区间工程,结合现场地质和环境条件,分析矿山法+盾构空推的组合工法 对穿越汉江复杂环境及地层的适应性。同时介绍王—宗区间组合工法的工法分界面的选取原则、组合工法盾构段 洞内盾构接收方案、空推段盾构反力不足管片无法顶紧的解决方案、由于初支内径远大于盾构管片外径导致的空 推段管片与初支的空隙填充的解决方案。武汉轨道交通 3 号线王—宗区间工程已取得良好的施工效果,为类似的 越江工程提供参考。     

整车落成后车钩高波动原因分析及控制

新造货车整车落成后车钩高数据存在大范围波动,对产品质量产生较大影响.通过建立模型对影响车钩高的有关因素进行全面分析,找出了整车落成后车钩高波动的原因,并以C70E型通用敞车为例进行计算,得出牵引梁上翘下垂的取值范围.最后总结了控制车钩高的方法.     

An improved scalar Costa scheme based on Watson perceptual model

An improved scalar Costa scheme （SCS） was proposed by using improved Watson perceptual model to adaptively decide quantization step size and scaling factor. The improved scheme equals to embed hiding data based on an actual image. In order to withstand amplitude scaling attack, the Watson perceptual model was redefined, and the improved scheme using the new definition can insure quantization step size in decoder that is proportional to amplitude scaling attack factor. The performance of the improved scheme outperforms that of SCS with fixed quantization step size. The improved scheme combines information theory and visual model.