砂桩排水板复合排水机理研究

目前复合排水地基固结度及强度无法从理论角度进行计算和预测,给工程设计及施工带来较大不便.针对这一问题,对砂桩排水板复合排水边界条件进行合理简化,推导出复合排水理论模型;并借助有限元软件PLAXIS 3D进行分析,将PLAXIS 3D计算结果与理论结果进行对比,并给出排水体控制区域不规则修正系数a的建议值.结果表明,理论模型计算结果与数值模拟结果相吻合;在砂桩间距大于3 m时,a值建议取1. 20～1. 35,当砂桩间距小于3 m时,a值建议取1. 35～1. 50.     

基于ANSYS有限元分析的海底管道变形数值模拟

某海底管道由于拖锚损伤导致局部失效变形。文中基于变形管道的偏移量、着力点破坏程度、塑性变形区域等信息,通过ANSYS有限元分析软件对管道在锚拉力作用下的变形过程进行数值模拟,计算变形管道所受的最大拉力和弯曲角度等参数,并验证整个变形过程。结果表明,该海底管道在至少2 657 k N的外力作用下牵引拉伸导致变形失效。     

内河航道桥梁船撞时船体最大变形量研究

目前在桥梁船撞防护的专项设计或船撞力专题研究中,对船舶撞击力的研究和桥梁在船舶撞击作用下的响应关注较多,而对船体最大变形量的研究较少。基于ANSYSLS-DYNA软件,对4种不同载质量的内河代表船舶在3种航速、2种碰撞角度下撞击4种墩型的船撞工况进行数值模拟,提取船体最大变形量,并分析船体最大变形量与船舶载质量、撞击速度、桥墩类型及撞击角度的关联性,同时与经验公式做对比。研究结果表明,撞击速度及撞击角度是船体最大变形量的主要控制因素,桥墩类型与之关系不明显。     

压载荷下骨材贯穿孔孔边应力集中模型试验

以船舶双层底结构为研究对象开展模型试验,研究板材中的开孔在承受压力载荷作用下的孔边应力分布情况,分析压力载荷下不同开孔孔型以及不同补强结构对孔边应力分布情况的影响。在此基础上,开展相关仿真分析,将试验结果与有限元仿真结果进行对比,验证有限元仿真的准确性。     

大深度浮力驱动式水下运载器的浮潜运动研究

基于模型试验,对大深度浮力驱动式水下运载器的上浮运动进行研究与分析,基于数值仿真,提出大深度浮力驱动式水下运载器浮潜运动的快速预报方法,并将预报结果与模型试验结果进行对比,证明快速预报方法的准确性。使用快速预报方法,针对水下运载器比重变化、流体密度变化、水下运载器初速度以及水流扰动4种因素对浮潜运动的影响进行研究.此外,对水下运载器作六自由度运动时所受的水动力进行计算,为后续的六自由度运动预报和研究提供基础。     

海流能轮机叶片翼型的水动力学特性模拟

基于卧式海流能发电装置,采用雷诺平均N-S方程,对来流攻角从0°~26°情形下的叶片翼型进行数值模拟,分析比较不同攻角下水动力学特性的变化规律。结果表明:一定范围内增加攻角可有效提高升阻比,但升力系数最大时,升阻比、水翼捕能效率不一定最高,失速角也不一定是最佳攻角,验证了水翼失速的根本原因是边界层的分离;水翼吸力面与压力面的压差较大,此压差为水翼提供较高的升力系数,主要来自于水翼的前半部。此外,还分析了水翼周围流场的速度分布、压力分布等水动力特性与攻角的关系,为设计高效的海流能转换叶片提供了理论参考。     

地下工程注浆技术研究新进展

注浆是土木、水利和矿山等工程建设中重要的防渗和加固技术。文章基于国内外注浆技术研究文献,总结了水泥等颗粒性浆液的“渗滤效应”及“黏度时空变异性”等理论研究成果,论述了非水反应高聚物、CW环氧树脂和微生物菌液等注浆新材料的应用现状及发展前景,介绍了细观力学数值模拟研究的突破性进展,可为地下工程注浆技术发展提供借鉴和启发作用。     

A generic data assimilation framework for vehicle trajectory reconstruction on signalized urban arterials using particle filters

With trajectory data, a complete microscopic and macroscopic picture of traffic flow operations can be obtained. However, trajectory data are difficult to observe over large spatiotemporal regions—particularly in urban contexts—due to practical, technical and financial constraints. The next best thing is to estimate plausible trajectories from whatever data are available. This paper presents a generic data assimilation framework to reconstruct such plausible trajectories on signalized urban arterials using microscopic traffic flow models and data from loops (individual vehicle passages and thus vehicle counts); traffic control data; and (sparse) travel time measurements from whatever source available. The key problem we address is that loops suffer from miss- and over-counts, which result in unbounded errors in vehicle accumulations, rendering trajectory reconstruction highly problematic. Our framework solves this problem in two ways. First, we correct the systematic error in vehicle accumulation by fusing the counts with sparsely available travel times. Second, the proposed framework uses particle filtering and an innovative hierarchical resampling scheme, which effectively integrates over the remaining error distribution, resulting in plausible trajectories. The proposed data assimilation framework is tested and validated using simulated data. Experiments and an extensive sensitivity analysis show that the proposed method is robust to errors both in the model and in the measurements, and provides good estimations for vehicle accumulation and vehicle trajectories with moderate sensor quality. The framework does not impose restrictions on the type of microscopic models used and can be naturally extended to include and estimate additional trajectory attributes such as destination and path, given data are available for assimilation.     

基于多智能体仿真的自动化集装箱码头合理通过能力研究

针对自动化集装箱码头泊位合理通过能力评估问题,基于多智能体仿真建立采用"双小车岸桥(DTQC)+自动导引车(AGV)+自动化轨道吊(ARMG)"工艺的自动化集装箱码头装卸作业模型,对顺岸布置的自动化码头通过能力与码头服务水平、泊位数量之间的关系进行研究。仿真结果表明:码头服务水平(AWTAST)与泊位通过能力呈明显负相关关系,且在一定码头服务水平下,泊位合理通过能力随顺岸式码头泊位数量的增加显著提高。基于仿真结果进行公式拟合,提出了自动化集装箱码头的泊位合理通过能力估算方法,可以为自动化集装箱码头规划与运营提供决策支持。     

Large-scale dynamic transportation network simulation: A space-time-event parallel computing approach

This paper describes a computationally efficient parallel-computing framework for mesoscopic transportation simulation on large-scale networks. By introducing an overall data structure for mesoscopic dynamic transportation simulation, we discuss a set of implementation issues for enabling flexible parallel computing on a multi-core shared memory architecture. First, we embed an event-based simulation logic to implement a simplified kinematic wave model and reduce simulation overhead. Second, we present a space-time-event computing framework to decompose simulation steps to reduce communication overhead in parallel execution and an OpenMP-based space-time-processor implementation method that is used to automate task partition tasks. According to the spatial and temporal attributes, various types of simulation events are mapped to independent logical processes that can concurrently execute their procedures while maintaining good load balance. We propose a synchronous space-parallel simulation strategy to dynamically assign the logical processes to different threads. The proposed method is then applied to simulate large-scale, real-world networks to examine the computational efficiency under different numbers of CPU threads. Numerical experiments demonstrate that the implemented parallel computing algorithm can significantly improve the computational efficiency and it can reach up to a speedup of 10 on a workstation with 32 computing threads.