基于云模型与D-S证据理论的盾构施工隧道管片上浮风险评价

为定量评价分析盾构隧道管片的上浮风险并进行针对性的风险管控,以武汉地铁8号线黄浦路站-徐家棚站盾构区间段为 背景,构建隧道管片上浮风险评价指标体系和评价标准,建立基于云模型与D-S证据理论的盾构施工隧道管片上浮风险评价模型。 依据工程施工实测数据,对监测区段的上浮风险等级隶属度进行计算,经归一化形成证据并进行D-S证据融合; 基于条件化线性 组合规则,将历史证据与当前时刻证据进行证据更新,得出当前时刻该监测区间上浮风险的安全风险等级为较安全状态,最后针对 安全等级不高的材料因素给出相应的处理措施,为施工阶段隧道管片上浮风险评价与管理提供一种新的思路和方法。     

电控柴油机主动减振油量修正算法分析

在柴油机中,传动系窜振是低速低挡起步时经常发生的现象.本文主要研究当发生传动系窜振时,主动减振油量的修正算法.     

先进驾驶员辅助系统中的车辆探测研究综述

介绍了目前世界上公路车辆探测方面所进行的一些相关研究及其方法,并对传感器融合检测方法进行了阐述,最后对目前本领域研究所面临的问题进行了简单的概括。     

一种域控制器片内及片外时间同步的方法

目前整车E/E架构由于面临来自不同控制器和传感器的数据交互需求而变得愈加复杂,所需要解决的问题包括:功能复杂性,通信带宽,计算能力,灵活性,可拓展性等。其中域控制器上层应用算法对获取数据的同步尤其敏感,数据融合需要针对同一时间点获取到的数据做融合处理。因此,对域控制器内部的异构多核、外部控制器数据以及传感器数据时间同步的研究尤其重要。基于此,文章详细介绍了域控制器片内及片外时间同步的方法,解决了域控制器内外部数据时间不同步的技术缺陷。     

跨海大桥钢管桩高性能复合涂料

杭州湾跨海大桥大口径超长钢管桩(Φ1.6 m,长8.9 m)长期处在泥下区、海水区、浪溅区和大气区的腐蚀环境中,其腐蚀环境和防护要求不同。较为系统地介绍了应用于这3个不同区域的3种不同特点和性能的高性能改性熔融结合环氧粉末涂料性能和特点,并在预制现场通过特殊的涂装工艺,一次性将这3种高性能粉末涂料涂敷在钢桩的不同防腐部位,预制出了高性能的防护钢桩。     

Simulating an underwater vehicle self-correcting guidance system with Simulink

Underwater vehicles have already adopted self-correcting directional guidance algorithms based on multi-beam self-guidance systems, not waiting for research to determine the most effective algorithms. The main challenges facing research on these guidance systems have been effective modeling of the guidance algorithm and a means to analyze the simulation results. A simulation structure based on Simulink that dealt with both issues was proposed. Initially, a mathematical model of relative motion between the vehicle and the target was developed, which was then encapsulated as a subsystem. Next, steps for constructing a model of the self-correcting guidance algorithm based on the Stateflow module were examined in detail. Finally, a 3-D model of the vehicle and target was created in VRML, and by processing mathematical results, the model was shown moving in a visual environment. This process gives more intuitive results for analyzing the simulation. The results showed that the simulation structure performs well. The simulation program heavily used modularization and encapsulation, so has broad applicability to simulations of other dynamic systems.     

基于神经网络和D-S证据理论的汽车电控系统故障融合诊断

在分析D-S证据理论和神经网络理论各自特点的的基础之上,提出将这两种方法进行融合,并对电控汽车车载自诊断系统的诊断数据流参数进行处理和分析.该融合方法是将各个独立的低维神经网络的输出值处理后作为辨识框架上命题的基本可信度,经过证据理论的再次融合后得到最终的诊断结果.通过电控发动机典型故障的实例分析表明,该方法能够克服单一神经网络诊断中数据源包含信息的不全面性以及模糊性等局限性,并使得证据理论的基本可信度分配不再完全依赖专家的主观化赋值,同时可以充分利用各种故障的冗余和互补信息,从而使得汽车电控系统的故障的识别能力得到提高.     

Additive manufacturing of miniature marine structures for crashworthiness verification: Scaling technique and experimental tests

Undoubtedly, the main advantage of the additive manufacture technology is to allow building miniature structural parts with a large degree of complexity such as to replicate structural details of real-scale marine structures. This work presents a new technique for reproducing the structural response of large-scale thin-walled metallic structures when subjected to crushing loadings by using scaled-down additive manufactured models. This technique couples scaling laws for strain rate sensitive materials and a thickness distortion technique based on the structural collapse mode. In order to validate this coupled technique, the structural response of a large-scale crushing test of a web girder structure was experimentally replicated by using a 1/40 scale reduction model. The results and conclusions summarize the prospects and limitations of additive manufacturing of miniature complex marine structures for structural purposes and crashworthiness verification.     

柴油机故障诊断中的变权重多证据体融合应用研究

为了能够确定各证据的权重,对证据进行权重调整,应用了基于遗传算法的加权平衡证据调整方法。首先,利用遗传算法确定最优化的或者近似最优化的权重系数,然后依据加权平均值和优先权的证据分布形态对证据进行加权调整,且保证调整后的证据加权平均值不变以及优先权证据分布形态稳定。柴油机故障诊断实例表明,采用基于遗传算法的加权平衡证据调整方法能提高故障诊断的信任度和准确率,明显优于普通D-S等权重证据组合方法。     

聚变堆液态包层MHD效应的研究现状与发展

聚变堆包层液态金属在强磁场中流动引起磁流体动力学效应,会改变其流动和传热特性,造成严重的压力损失,是液态金属包层研发的关键问题。该文依据受控轻核聚变及其液态包层的发展需求,综述了包层磁流体动力学问题的主要研究方法及内外研究现状,并比较了不同MHD数值模拟软件的特点。