机场道面沥青盖被摊铺机械的配置与铺筑方法

分析了摊铺机械的特性,结合工程实践,从沥青盖被的总宽度、厚度、跑道横坡度及沥青拌和站混合料的生产能力等因素综合对摊铺机械进行选型与配置,又通过对摊铺机作业的宽度、铺筑的幅数、作业段的长度等问题进行系统的试验,提出了沿跑道纵向全断面的铺筑方法与不停航施工措施.结果表明该方法既能保证施工质量,又能满足机场在不停航条件下的安全需要,是简单、可行的.     

KS函数与最小—最大优化问题

讨论了 KS 函数在结构优化设计中的影响与作用.研究表明,在挑选紧约束集中,KS函数是一个非常有用、有前途的工具,而这一点,恰是许多优化方法的关键.同时指出,KS 函数很适合求解最小-最大类型的优化问题.一个加筋弯曲板加强筋的形状优化设计例题证明,它的算法既简单又易于实现,收敛也是迅速、稳定的.     

竖直荷载下群桩承台土反力的三维仿真数值模拟

承台土体反力分布对桩基承台结构的设计与计算有重要影响。采用三维非线性有限元-无限元-接触面单元耦合数值模型,研究了竖向荷载作用下不同桩长、桩间距群桩基础中承台下土体反力的分布特征,并且为群桩承台结构的优化设计提出了一些建议。     

Reproducing Kernel Particle Method for Non-Linear Fracture Analysis

To study the non-linear fracture, a non-linear constitutive model for piezoelectric ceramics was proposed, in which the polarization switching and saturation were taken into account. Based on the model, the non-linear fracture analysis was implemented using reproducing kernel particle method （RKPM）. Using local J-integral as a fracture criterion, a relation curve of fracture loads against electric fields was obtained. Qualitatively, the curve is in agreement with the experimental observations reported in literature. The reproducing equation, the shape function of RKPM, and the transformation method to impose essential boundary conditions for meshless methods were also introduced. The computation was implemented using object-oriented programming method.     

郑西客运专线大断面黄土隧道施工方法研究

文章结合郑西客运专线大断面黄土隧道设计、施工及科研情况,从沉降变形控制、施工进度、机械配套等方面对双侧壁导洞、CRD、CD、弧形导洞等4种工法进行了比选分析,提出了与不同工况相适应的工法以及施工要点,可供参考和借鉴。     

象山水上旅游安全监管不容忽视

从建筑结构常规设计方法入手,提出常规设计方法存在的问题,进而引入上部结构与地基基础共同作用的概念,简要介绍共同作用的分析方法,并重点介绍了其中的子结构法。     

高校管理信息化建设初探

文章对目前高校管理信息化的现状进行了分析，阐述了高校管理信息化建设的必要性，同时对高校管理信息化建设中存在的问题提出了较为科学的解决途径和建设策略。     

并联高挠圆簧两端串联橡胶弹簧系统水平方向刚度分析

为了降低高挠圆簧的工作应力和组合弹簧系统的水平方向刚度值，铁道机车车辆转向架二系弹簧悬挂系统采用并联高挠圆簧两端串联橡胶弹簧结构。基于经典弹簧水平方向刚度分析理论，建立了高挠圆簧和橡胶弹簧的力和力矩与线位移和角位移关系式，导出了并联高挠圆簧两端串联橡胶弹簧的水平方向刚度分析的直接计算方法，为此类系统设计提供了理论依据。     

Revisiting the application of simultaneous perturbation stochastic approximation towards signal timing optimization

Simultaneous Perturbation Stochastic Approximation (SPSA) has gained favor as an efficient optimization method for calibrating computationally intensive, “black box” traffic flow simulations. Few recent studies have investigated the efficiency of SPSA for traffic signal timing optimization. It is important for this to be investigated, because significant room for improvement exists in the area of signal optimization. Some signal timing methods and products perform optimization very quickly, but deliver mediocre solutions. Other methods and products deliver high-quality solutions, but at a very slow rate. When using commercialized desktop signal timing products, engineers are often forced to choose between speed and solution quality. Real-time adaptive control products, which must optimize timings within seconds on a cycle-by-cycle basis, have limited time to reach a high-quality solution. The existing literature indicates that SPSA provides the potential for upgrading both off-line and on-line solutions alike, by delivering high-quality solutions within seconds. This article describes an extensive set of optimization tests involving SPSA and genetic algorithms (GAs). The final results suggest that GA was slightly more efficient than SPSA. Moreover, the results suggest today's signal timing solutions could be improved significantly by incorporating GA, SPSA, and “playbooks” of preoptimized starting points. However, it may take another 5–10 years before our computers become fast enough to simultaneously optimize coordination settings (i.e., cycle length, phasing sequence, and offsets) at numerous intersections, using the most powerful heuristic methods, at speeds that are compatible with real-time adaptive solutions.