某深基坑开挖数值模拟与实测对比分析

通过FLAC3D对现场工况进行了开挖模拟,与实测结果进行了对比分析。围护结构型式采用单排桩+锚索和双排桩,开挖到坑底时,计算的桩身水平位移最大值分别为8.73 mm和10.19 mm,实测值分别为10.57 mm和12.05 mm,实测值稍大于计算值,桩身整体侧向变形规律一致。围护结构型式采用单排桩+锚索,不同开挖阶段坑外地表沉降的计算值与实测值对比,整体沉降均随着开挖深度增加而增大;沿基坑方向的分布规律也大致相同,都是呈凹槽型分布,最大沉降值出现在距桩后3~4 m范围内。     

钢箱梁桥地震响应的有限元分析

针对典型的工程实例,基于大型有限元软件,采用纤维模型模拟梁柱单元,建立了钢箱梁桥的三维有限元模型,合理选取了强震记录,进行了罕遇地震作用下桥梁结构的弹塑性时程分析,为桥梁结构抗震设计和提高抗震安全性提供了科学依据和重要参考.     

昆明市“月月无车日活动”及公众调查分析

调查了解公众对无车日活动常态化这一公共政策的反应,能够为城市交通政策的制定提供一定的技术参考。介绍了昆明市城市交通概况及首个无车日活动成效,同时,对“月月无车日活动”做了概述,在总结前几次活动经验的基础上,给出了活动的进一步调整方案。通过对无车日活动公众调查问卷的数据分析,得出大多数公众对“月月无车日活动”的态度是理解和支持的;在无车日当天,私人小汽车拥有者选择公共交通作为替代小汽车出行方式的比例最高。另外,大力发展公共交通也被受访者认为是解决城市交通拥堵应当首选的措施。     

行人微观仿真中的运动模型与行为模型——STEPS与NOMAD模型对比

为了解各类行人仿真模型的性能差异和适用范围,以选取适当模型进行交通枢纽行人仿真,对两种典型行人仿真模型进行研究。依据模型对行人行为描述的复杂程度,将行人仿真模型分为运动模型、部分行为模型、行为模型3类,并分别介绍了各自的特点。选取典型的运动模型软件STEPS和行为模型软件NOMAD,详细探讨其采用的数学模型,并通过4个仿真实例对比分析这两种模型的特点。分析结果得出两种模型在宏观与微观层面的异同点以及存在的问题。     

公交通行能力约束的智能调度优化模型

公交通行能力是解决城市交通拥堵问题、促进城市公共交通系统高效运行的要素之一。介绍了公交通行能力的计算要素,并针对目前我国城市由于盲目调度造成的公交系统运营效率、服务水平下降的问题,提出将公交通行能力作为约束条件对公交调度进行优化。鉴于公交企业制订调度方案时需兼顾公交服务水平和企业效益,将智能调度的目标确定为候车时间满意度、候车空间满意度、车内舒适满意度和企业满意度加权平均值最大,并给出了相应的计算方法。最后讨论了利用遗传算法对模型进行求解的过程。     

纤维与沥青胶结料的抗拉拔性能评价

通过纤维拉拔试验来评价纤维与沥青胶结料的界面粘结强度,提出了拉拔过程中纤维与沥青胶结料相互作用的受力模型;利用此试验对聚酯纤维和芳纶纤维进行了试验研究,分析了影响界面粘结强度的主要因素,给出了沥青混合料中纤维的合理长度。     

SBS改性沥青混合料配合比设计及施工

在良好的设计配合比和施工条件下,SBS沥青能使沥青路面的耐久性和高温稳定性明显提高.根据南二路的施工试验情况,简要讲述SBS改性沥青的施工技术要求.     

A data model applied to the knowledge-based ICAS

Image-guided computer aided surgery system (ICAS) contributes to safeness and success of surgery operations by means of displaying anatomical structures and showing correlative information to surgeons in the process of operation. Based on analysis of requirements for ICAS, a new concept of clinical knowledge-based ICAS was proposed. Designing a reasonable data structure model is essential for realizing this new concept. The traditional data structure is limited in expressing and reusing the clinical knowledge such as locating an anatomical object, topological relations of anatomical objects and correlative clinical attributes. A data structure model called mixed adjacency lists by octree-path-chain (MALOC) was outlined, which can combine patient's images with clinical knowledge, as well as efficiently locate the instrument and search the objects' information. The efficiency of data structures was analyzed and experimental results were given in comparison to other traditional data structures. The result of the nasal surgery experiment proves that MALOC is a proper model for clinical knowledge-based ICAS that has advantages in not only locating the operative instrument precisely but also proving surgeons with real-time operation-correlative information. It is shown that the clinical knowledge-based ICAS with MALOC model has advantages in terms of safety and success of surgical operations, and help in accurately locating the operative instrument and providing operation-correlative knowledge and information to surgeons in the process of operations.     

Identity-based broadcast encryption with shorter transmissions

This paper describes two identity-based broadcast encryption(IBBE) schemes for mobile ad hoc networks.The first scheme proposed achieves sub-linear size cipertexts and the second scheme achieves O(1)-size ciphertexts.Furthermore, when the public keys are transmitted, the two schemes have short transmissions and achieve O(1) user storage cost, which are important for a mobile ad hoc network.Finally, the proposed schemes are provable security under the decision generalized bilinear Di?-Hellman(GBDH) assumption in the random oracles model.     

Power network parameter estimation method based on data mining technology

The parameter values which actually change with the circumstances, weather and load level etc.produce great effect to the result of state estimation. A new parameter estimation method based on data mining technology was proposed. The clustering method was used to classify the historical data in supervisory control and data acquisition (SCADA) database as several types. The data processing technology was impliedto treat the isolated point, missing data and yawp data in samples for classified groups. The measurement data which belong to each classification were introduced to the linear regression equation in order to gain the regression coefficient and actual parameters by the least square method. A practical system demonstrates the high correctness, reliability and strong practicability of the proposed method.