空间复合材料加筋板流固耦合振动分析

本文用结构有限元与流体边界元方法研究了空间复合材料加筋板结构的流固耦合自由振动，推导了用于结构分析的分项插值型复合材料八节点板单元和三节点梁单元，以及用于流场分析的线性边界单元。用修正的RIRZ向量法与波前法相结合的方法求解特征值问题，避免了因附连水质量引起的结构质量矩阵为满阵的内存困难和非对称矩阵方程约化困难。算例表明，附连水质量对复合材料结构的动力特性影响要比各向同性材料严重得多。     

铁路绿色施工节地与土地资源保护措施评价

为了更好地促进绿色铁路建设,进而促进国家实现建设资源节约型环境友好型社会的目标,必须对施工阶段铁路的节地与土地资源保护措施进行评价。通过研究相关技术标准及铁路施工特点,建立一套完善的铁路绿色施工节地与土地资源保护措施评价指标体系。然后,利用三角模糊数层次分析法确定各指标权重,应用灰色聚类法确定评价指标体系的综合绿色等级。最后,结合实例证明三角模糊数层次法与灰色聚类法结合可以对铁路绿色施工节地与土地资源保护措施进行很好的评价,并能找出铁路施工阶段节地与土地资源保护的不足之处并进行改进。     

半刚性基层与沥青层之间界面条件对结构性能的影响

利用弹性层状体系理论计算了在不同层间条件下的半刚性沥青路面沥青层中的剪应力、拉应力分布情况及路表弯沉值,分析了基层与沥青层之间由于层间界面条件变化引起的路面结构受力状态的变化。计算表明基层与面层保持连续的界面条件是十分重要的;过分致密不透水的半刚性基层有可能造成路面的早期损坏。     

以HCCI燃烧过程为主要研究对象的模拟燃烧系统

所论述的模拟燃烧系统是针对均质混合气压燃特性试验研究开发研制的装置,主要由燃烧系统主体部分、混合气配给系统等组成。该装置具备定压燃烧过程、复合燃烧过程以及定容燃烧过程的研究试验功能,且具有良好的边界条件可控性。燃烧系统压缩终了压力可达到2.6MPa,活塞最高速度为5m/s,平均速度为2.18m/s。     

深埋双线铁路隧道衬砌高水压分界值研究

为研究深埋双线铁路隧道衬砌高水压分界值以及高水压作用下的衬砌受力状态,基于双线铁路隧道设计标准,利用有限元软件计算和分析双线铁路隧道衬砌在不同水压作用下隧道衬砌安全系数的变化规律,确定双线铁路隧道衬砌的高水压分界值。研究结果表明:Ⅱ、Ⅲ级围岩条件下水压力在0~0.05 MPa(约等于隧道净高一半)和Ⅳ、Ⅴ级围岩条件下水压力在0~0.1 MPa(约等于隧道净高)范围内变化时,隧道断面安全系数基本不变。在Ⅱ、Ⅲ级围岩条件下,双线隧道的高水压第一分界值为0.08~0.20 MPa;高水压第二分界值可取为0.40MPa。在Ⅳ、Ⅴ级围岩条件下,双线隧道的高水压第一分界值为0.12~0.35 MPa;高水压第二分界值为0.50 MPa。双线铁路隧道采用标准设计图进行设计时,能够承受的最大静水头为50 m,超过50 m的静水头,则需要优化断面。     

A logit-based model for measuring the effects of transportation infrastructure on land value

Mutual interactions between transportation and land use have long been debated. Despite progress made in computational technology, the study of these interactions is not adequately developed. The most important aspect of such interactions is given by the changes in land values due to changes in transportation infrastructures. We consider the behavioural features of these interactions along with the constraints on the land and/or zoning restrictions and propose a reliable model for the first time to predict land value changes with respect to changes in transportation facilities and accessibility. The proposed model is a logit-based mathematical programming methodology where the relative price of land is predicted with respect to transportation accessibility, neighbourhood amenities, location premium, availability of land, and zoning regulations. A real-world case study is used to exhibit the applicability of the proposed methodology and demonstrate the efficacy of the algorithms and procedures.     

Impact of macrozoobenthic structures on near-bed sediment fluxes

Sandy sediments in shallow coastal waters of the Baltic Sea are often characterised by large numbers of biogenic structures which are produced by macrozoobenthos species. A series of experiments was devised to quantify how the interaction of such structures with the near-bed flow regime affects the sediment flux. Most experiments were done with simplified replicates of structures generated by typical species commonly found in the Mecklenburg Bight, starting with solitary structures and regularly-spaced arrays in a range of characteristic population densities, followed by a complex benthic macrofauna community, both artificial and alive. A laboratory flume channel, equipped with an acoustic Doppler flow sensor and a topography scanning laser, was used for high-resolution measurements (2 mm horizontal step size and 0.3 mm vertical resolution) of sand erosion (220 µm median grain size, at 20 cm s^− 1) and fine particle deposition (8 µm grain size, at 5 cm s^− 1). Sediment transport threshold values were measured for each layout. As a rule-of-thumb, both the erosion fluxes and the deposition of suspended matter increased considerably at low population densities (below 2%, expressed as percent of the sediment surface covered, i.e. roughness density RD). Above densities of 4%, erosion almost stopped inside the test arrays, and deposition remained well below the level of unpopulated areas. An attempt to extrapolate these findings to field conditions (using field current velocity data from 2001) showed that the net flux switched from erosion to deposition for densities above 5%. These parameters can now be integrated into a numerical sediment transport model coupling waves, currents, sediment dynamics and biological processes, which is currently under construction at the Baltic Sea Research Institute (IOW), Rostock, Germany.     

Water entry of a bow-flare ship section with roll angle

The two-dimensional water entry of a bow-flare ship section with constant roll angle, or heel angle, was studied by using a boundary element method. The fully nonlinear free surface conditions and exact body boundary conditions were satisfied. Nonviscous flow separation from the knuckles of the section or from the curved bottom could be simulated. The numerical calculations were compared with existing experimental results. First, the effects of roll angle were investigated and then the characteristics associated with large roll angles were examined in particular. The evolution of the free surfaces and the pressure distributions on the section surface are illustrated and the influence of nonviscous flow separation from the leeward section surface is discussed.     

Estimation of origin-destination matrices from link counts and sporadic routing data

Estimation of origin-destination (OD) matrices from link count data is a challenging problem because of the highly indeterminate relationship between the observations and the latent route flows. Conversely, estimation is straightforward if we observe the path taken by each vehicle. We consider an intermediate problem of increasing practical importance, in which link count data is supplemented by routing information for a fraction of vehicles on the network. We develop a statistical model for these combined data sources and derive some tractable normal approximations thereof. We examine likelihood-based inference for these normal models under the assumption that the probability of vehicle tracking is known. We show that the likelihood theory can be non-standard because of boundary effects, and provide conditions under which such irregular behaviour will be observed in practice. For regular cases we outline connections with existing generalised least squares methods. We then consider estimation of OD matrices under estimated and/or misspecified models for the probability of vehicle tracking. Theoretical developments are complemented by simulation experiments and an illustrative example using a section of road network from the English city of Leicester.     

Spatiotemporal influence of land use and household properties on automobile travel demand

Understanding the patterns of automobile travel demand can help formulate policies to alleviate congestion and pollution. This study focuses on the influence of land use and household properties on automobile travel demand. Car license plate recognition (CLPR) data, point-of-interest (POI) data, and housing information data were utilized to obtain automobile travel demand along with the land use and household properties. A geographically and temporally weighted regression (GTWR) model was adopted to deal with both the spatial and temporal heterogeneity of travel demand. The spatial-temporal patterns of GTWR coefficients were analyzed. Also, comparative analyses were carried out between automobile and total person travel demand, and among travel demand of taxis, heavily-used private cars, and total automobiles. The results show that: (I) The GTWR model has significantly higher accuracy compared with the Ordinary Least Square (OLS) model and the Geographically Weighted Regression (GWR) model, which means the GTWR model can measure both the spatial and temporal heterogeneity with high precision; (II) The influence of built environment and household properties on automobile travel demand varies with space and time. In particular, the temporal distribution of regression coefficients shows significant peak phenomenon; and (III) Comparative analyses indicate that residents’ preference for automobiles over other travel modes varies with their travel purpose and destination. The above findings indicate that the proposed method can not only model spatial-temporal heterogeneous travel demand, but also provide a way to analyze the patterns of automobile travel demand.