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。     

论高速铁路建设征地拆迁概算控制

在阐述高速铁路建设征地拆迁现状和存在主要问题的基础上,结合《铁路运输安全保护条例》和《铁路基本建设工程设计概(预)算编制办法》,论述铁路建设工程征地拆迁范围的界定、征地拆迁费用类别的界定,分析征地拆迁数量及标准发生变化超出设计调查的原因,提出工程前期、实施期间、后期3个阶段对征地拆迁费用进行有效控制的措施,并提出改进概预算编制办法的3条建议。     

轿车前梁有限元分析

利用轿车前梁的CATIA模型建立其有限元模型。通过前悬架的ADAMS模型确定前梁的受力。应用这些方法将CAD、CAE有机的结合在一起，提高了有限元分析的效率和准确性。为了检验模型的精确程度，对前梁进行了静态加载试验。结果表明计算和试验结果有很好的一致性。     

异形变截面多室曲线箱梁桥的试验研究及三维有限元分析

在对某异形变截面多室曲线箱梁桥试验研究的基础上,构造可以综合考虑拉压、弯扭、畸变、剪力滞及其耦合作用的三维虚拟层合单元法,并对该异形桥梁进行空间有限元分析。理论分析和试验研究表明,利用此法对这种复杂的异形桥梁结构进行空间分析,具有模型单元少、计算效率和精度高的特点,完全可以满足实际工程的需要,是一种简单方便的实用计算方法。最后,综合考虑在一期恒载和纵向预应力筋作用下其应力的空间分布情况。研究成果可供工程设计和施工参考。     

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。     

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.     

Travel analytics: Understanding how destination choice and business clusters are connected based on social media data

Understanding how destination choice and business clusters are connected is of great importance for designing sustainable cities, fostering flourishing business clusters, and building livable communities. As sharing locations and activities on social media platforms becomes increasingly popular, such data can reveal destination choice and activity space which can shed light on human-environment relationships. To this end, this research models the relationship between characteristics of business clusters and check-in activities from Los Angeles County, California. Business clusters are analyzed via two lenses: the supply side (employment data by industry) and the demand side (on-line check-in data). Spatial and statistical analyses are performed to understand how land use and transportation network features affect the popularity of the identified clusters and their relationships. Our results suggest that a cluster with more employment opportunities and more types of employment is associated with more check-ins. A business cluster that has access to parks or recreational services is also more popular. A business cluster with a longer road network and better connectivity of roads is associated with more check-ins. The visualization of the common visitors between clusters reveals that there are a few clusters with outstanding strong ties, while most have modest ties with each other. Our findings have implications on the influence of urban design on the popularity of business clusters.     

Environmental and transport effects of warehouse relocationing: evidence from Norway

Reducing traffic volumes and CO2-emissions from freight transport has proven difficult in many countries. Although the increasing suburbanization of warehouses is seen as a relevant land use trend, comprehensive analyses of their impact remain scarce. This study uses real data in modeling transport, costs, environmental and modal effects from warehouse relocations around Oslo and Trondheim (Norway). Results indicate that for Oslo, traffic performance (ton-km), CO2-emissions, and transport costs increase following warehouse suburbanization. For Trondheim, transport performance and CO2-emissions increase less, while transport costs decrease marginally. We conclude that specific case characteristics (geography and trade patterns) are important in determining the strength and direction of effects, and expect that common concomitant developments (warehouse centralization and consolidation) would lead to more pronounced results. Our findings confirm some, but challenge other, findings from the relatively scarcely literature available. Finally, the study's more general insights and observations can help advance similar analyses beyond Norway.     

The influence of fully nonlinear wave forces on aero-hydro-elastic calculations of monopile wind turbines

The response of an offshore wind turbine tower and its monopile foundation has been investigated when exposed to linear and fully nonlinear irregular waves on four different water depths. The investigation focuses on the consequences of including full nonlinearity in the wave kinematics. The linear and nonlinear irregular wave realizations are calculated using the fully nonlinear potential flow wave model OceanWave3D [1]. The linear and nonlinear wave realizations are compared using both a static analysis on a fixed monopile and dynamic calculations with the aeroelastic code Flex5 [2]. The conclusion from this analysis is that linear wave theory is generally sufficient for estimating the fatigue loading, but wave nonlinearity is important in determining the ultimate design loads.