五体船兴波阻力线性理论计算与CFD数值模拟

五体船是继当代三体船之后提出的又一种多体新船型,该新船型付诸实用前必须对其兴波特性和侧体布局减阻设计进行研究。根据五体船各片体的科钦函数线性叠加和坐标变换原理,提出了基于片体科钦函数展开的分项算法和基于片体科钦函数叠加的整体算法求解多体船兴波阻力,得出了单体船、三体船、五体船通用的线性兴波阻力公式。应用CFD通用软件进一步分析五体船阻力及片体兴波干扰特性,提出了基于CFD模拟的自由面波形观测的五体船片体布局优化,对各种侧体布局下的五体船兴波特性直观地定性判定。根据综合兴波阻力线性理论计算和粘性流体动力CFD求解所得五体船阻力结果及其特性,提出具有工程实用意义的五体船优化构型方案。研究表明,势流线性理论计算和CFD求解五体船阻力的方法和所得五体船优化构型方案具有广阔的应用前景。     

不完全测量情形下非线性离散时滞系统的模糊H∞滤波

针对非线性离散时滞模糊系统,研究其不完全测量情形下的H∞滤波问题.假设非线性项满足扇形条件,并利用服从Bernoulli分布的随机变量来描述不完全测量.目的是设计H∞滤波器,使得滤波误差系统均方指数稳定且满足给定的干扰抑制水平.首先,基于模糊Lyapunov泛函得到了滤波误差系统均方指数稳定的时滞依赖充分条件.然后,给...     

轴承在港口大型超重设备中的应用与保养

港口大型起重设备是港口装卸作业的主力设备.在这些设备中,轴承是应用最广泛的零部件,介绍了轴承在港口大型起重设备中的相关应用.着重介绍了对轴承正确的保养方法及注意事项,可供参考.     

浅析盾构隧道模型试验的现状与发展

模型试验是盾构隧道相关研究工作中常用的研究手段。文章对目前盾构隧道模型试验所涉及到的问题进行了系统总结分析,将其归结为管片结构的受力问题、隧道结构本身的分析模型问题、结构与围岩的相互作用问题、开挖面稳定问题、结构与邻近结构物的相互作用问题、隧道施工扰动与控制问题,以及其他问题等。通过典型模型试验实例,对每类问题进行了分析阐述,系统归纳了模型试验在盾构隧道相关研究工作中的进展和成果。针对盾构隧道模型试验经常涉及到的诸如结构模型、模型土、模型箱等材料的选择,加载方案的设计,以及试验方案的综合设计等问题进行了阐述分析,并针对性地提出了意见和建议。     

预切槽技术及其应用中的关键技术问题

随着我国隧道建设的大发展,面临的复杂地质和环境问题以及劳动力紧张问题也越来越突出。预切槽法是一种独特的施工技术,是介于浅埋暗挖法和盾构法之间的一种方法,它和浅埋暗挖法配合可以形成复杂地质和地面环境下的新型隧道施工技术。采用此法可大大提高施工的机械化水平,同时可有效地控制地表沉降。文章论述了预切槽工法的机械组成、控制地层变形的基本原理以及应用中的关键技术问题,相信这种工法必将以其良好的控制地层变形能力和灵活性重新得到重视。     

超容量负荷与压力负荷对新西兰兔心功能的影响及评价

目的探讨超容量负荷联合压力负荷条件下新西兰兔心衰模型的建立,并评价超容量负荷与压力负荷对新西兰兔心功能的影响。方法将37只新西兰兔随机分为联合组、腹窄组、主闭组和对照组。术后8周分别采用心动超声图、血流动力学及血浆B型钠尿肽(BNP)测定来评价心功能。结果①血流动力学结果显示联合组心率、主动脉收缩压、主动脉舒张末压、脉压、左室收缩末压、左室舒张末压明显高于对照组、主闭组、腹窄组(P<0.05)。②心动超声显示联合组左室舒张末期内径、左室收缩末期内径、左室后壁厚度、室间隔厚度、短轴缩率、E/A比值均明显高于对照组,左室射血分数明显低于对照组、主闭组、腹窄组(P<0.05)。③联合组BNP水平较对照组、主闭组、腹窄组明显升高(P<0.05)。④联合组心脏/体重、湿肺/体重明显高于对照组、主闭组、腹窄组(P<0.05)。结论可通过超容量负荷联合压力负荷建立新西兰兔心衰模型;超容量负荷和压力负荷对心功能的影响不同。     

LMS自适应滤波器的FPGA实现

LMS自适应滤波器是一种广泛使用的数字信号处理算法,对其实现有多种方法.通过研究其特性的基础上,提出了在FPGA中使用软处理的嵌入式实现方案,文中对实现方式的优缺点进行了分析,并给出了硬件实现中的有线字长效应进行了详细的分析.     

Model test for dynamic construction mechanical effect of large-span loess tunnel

It has been a focus of debate for a large time on construction methods for large-span loess tunnel. Reasonable construction method has much effect on stability of tunnel and construction schedule. Deformation and failure of surrounding rock are quite complex. Associating with the large-span loess tunnel of Zhengzhou—Xi’an high-speed passenger rail line in China, large scale model test with geometric proportion 1:20 is applied to study on dynamic mechanical behavior of various construction methods. They include full-face excavation with support and no support, and benching method with support. It is found that pre-deformation and stress accumulation take place ahead of working face. The effects of three construction methods are further studied, particularly in terms of tunnel displacement and stress changes. It is revealed that benching method transfers load to an unexcavated area, limits horizontal deformation, reduces stress concentration effectively, lengthens the distance between location of peak for stress concentration and working face, and consequently increases stability. The model test results not only supply theoretical foundation for determination of reasonable construction method, but also can act as reference for similar tunnel and underground engineering construction.     

A selection scheme for optimum number of cooperative secondary users in spectrum sensing

An optimization scheme for choosing the optimum number of secondary users in cooperative spectrum sensing based on the cyclostationary feature detection with Neyman-Pearson criterion is proposed in this paper. The optimal soft combination test statistic for the cooperative spectrum sensing based on cyclostationary feature detection is derived according to the generalized likelihood ratio test and its corresponding detection performance is deduced. A target function, considering two important parameters as the resource use efficiency and the number of samples employed by each cooperative secondary user in the system design, is constructed to obtain the optimum number of cooperative secondary users. It can be found that the selection scheme is to make a tradeoff between the system complexity of the cognitive radio network and the global sensing performance of the cooperative spectrum sensing.     

Reputation-based collaborative spectrum sensing scheme in cognitive radio networks

Collaborative spectrum sensing is proposed to improve the detection performance in cognitive radio (CR) networks. However, most of the current collaborative sensing schemes are vulnerable to the interference of the malicious secondary users (SUs). In this paper we propose a reputation-based collaborative spectrum sensing scheme to improve the security of cooperative sensing by mitigating the impacts of misbehaviors. The fusion center calculates the reputation rating of each SU according to their history reports to weight their sensing results in the proposed scheme. We analyze and evaluate the performance of the proposed scheme and its advantages over previous schemes in expansibility and integrity. Simulation results show that the proposed scheme can minimize the harmful influence from malicious SUs.