翔安海底公路隧道陆域段变形控制措施研究

翔安隧道是我国第一条大跨公路海底隧道,其两端陆域段位于富水的强风化岩层中,地质条件极为复杂。隧道施工期间,部分断面发生了较大变形,超过了预留变形量,给二次衬砌的施工造成了影响,而且过大的变形有时还会导致隧道围岩失稳,应寻求一套合理的变形控制措施。基于现场监测数据和施工记录,并结合数值方法,对隧道施工过程中所采取的工程措施的作用效果进行了研究。结果表明,增设锁脚锚管、加强临时支护及管井降水等工程措施都可以在一定程度上减小隧道支护结构的变形,但在地质条件较差的富水强风化岩层中修建大跨公路隧道时,将两种或多种工程措施的组合起来使用效果更佳。例如,在采用降水（连续墙）＋加强临时支护＋锁脚锚管的组合方案后,隧道的拱顶下沉减小了46 %～60 %,水平收敛也减小了约30 %。这些措施可为今后类似工程提供一定的参考。     

基于DSC模型的房屋开裂评估与监测分析

城市隧道下穿时,普遍存在着地表房屋变形超限、倾斜开裂等安全风险问题,而且当前针对房屋变形开裂的计算分析、风险评估研究,也严重滞后于实际工程的需要。通过综合分析、比选,以及单、三轴试验验证表明：DSC（disturbed state concept）本构模型能够较好地描述材料开裂后力学行为;采用该模型并结合厦门机场路隧道下穿建筑群的工程实践,对地表建筑群开裂进行定量评估,评估结果与现场房屋裂缝监测、变形监测结果一致性良好。同时,对照扰动变量与实际房屋开裂的对应关系,发现扰动变量可以作为房屋开裂的定量安全指标,进一步即可以建立房屋变形开裂的过程控制标准,从而使隧道下穿过程中每个关键施工部、每个时段,地表房屋变形开裂程度、开裂风险都可以进行量化评估。     

地下洞室黏弹性位移反分析模式分层运算

在洞室黏弹性位移参数反分析中,对分层优化方法存在初始值选取困难、计算量大等问题进行了探讨,提出了基于最小二乘法的模式分层运算方法,改变参数求解机制,避免了由于初始值选取不当造成迭代不收敛的现象,加强了求解搜索的有效性,提高解的精度和稳定性,通过工程实例进行验证。数值计算结果表明,模式分层运算对洞室黏弹性多参数位移反分析计算的结果真实、可靠。     

大比尺钢衬钢筋混凝土马蹄形压力管道改性试验研究

为从根本上解决常规钢衬钢筋混凝土压力管道因运行期的裂缝过宽而带来的结构耐久性问题,采取将常规混凝土改性为高性能的钢纤维混凝土或钢纤维自应力混凝土的方法。以某水电站全背坝面管为原型,以1：10缩尺制作了钢衬钢筋钢纤维混凝土压力管道模型和钢衬钢筋钢纤维自应力混凝土压力管道模型。试验结果表明,改性为钢纤维混凝土的压力管道表现出很好的限裂能力,其初裂荷载有一定的提高,管道裂缝宽度显著下降;改性为钢纤维自应力混凝土的压力管道表现出很好的抗裂能力,管道的初裂荷载有了大幅度的提高,钢材的性能也得到了较充分的利用。模型试验的结果显示了改性钢衬钢筋混凝土压力管道良好的应用前景。     

Research and Practice on the Crustal Deformation Mobile Monitoring Network Layout in the Hydropower Station Reservoir Area

According to the construction project of the crustal deformation mobile monitoring network in the cascade hydropower stations built in the lower reaches of Jinsha River,this paper analyzes the design ideas and layout principles of crustal deformation mobile monitoring used in the monitoring of reservoir induced earthquakes. This paper introduces three types of monitoring networks used in the Xiluodu reservoir and Xiangjiaba reservoir, as well as the work already undertaken,in order to provide a kind of reference for the related engineering construction and comprehensive monitoring of reservoir induced earthquakes.     

基于纤维模型的空间网架支承体系的优化设计与分析

近年来,民用航空制造业的快速发展给大柱距空间网架结构带来新的契机。本文针对某大柱距厂房设计了无柱间支撑、柱间钢支撑和柱间消能支撑3种抗侧力结构体系。在此基础上,分别建立了3种结构体系的三维整体有限元模型,通过优化设计确立了钢支撑和消能支撑的具体设计参数,并进行了多遇地震作用下的弹性时程对比分析。最后,建立了结构弹塑性分析的纤维模型,对3种结构体系进行了罕遇地震作用下的弹塑性时程分析,对比研究了3种结构体系在大震作用下的倒塌机制。结果表明：采用纤维模型能够较为精确地进行结构的弹塑性时程分析;相较于不加柱间支撑结构体系,柱间钢支撑和柱间消能支撑结构体系在多遇地震作用下的结构层间位移分别衰减约32%和64%,在罕遇地震作用下的结构层间位移分别衰减约12%和46%,且均具有更好的倒塌机制。本文可供大柱距空间结构的设计与分析参考和借鉴。     

城市供水管网健康监测与诊断(Ⅰ)——用户流量的预测

供水管网运行状态的准确把握对供水管网的健康监测和健康诊断至关重要,而供水管网运行状态准确把握的关键则在于对用户流量的准确把握。本文提出了供水管网用户流量预测的两个方法,EMD分解与自回归模型相结合的方法和逐步回归方法与自回归模型相结合的方法,文中通过一实际供水管网中某用户流量的预测分析并与实际监测值的比较,验证了两个方法的有效性。研究使得城市供水管网健康的在线监测和在线诊断成为可能。     

紫坪铺水库地震监测预测

紫坪铺水库微震台网已经运行逾6年,强震台网已经运行逾3年,水库蓄水逾4年。2006年10月水磨突发ML1.4级微小地震群,库区及附近和库坝区地震活跃,依据监测研究较准确预测了2006年11月至2007年2月的水磨ML2.5级地震群。研究认为ML2.5级地震群是蓄水初期诱发的一些浅表卸荷型或岩溶塌陷型小地震。2008年5月12日汶川8级特大天然地震发生在微震台网监测范围内,水库微震台网和强震台阵的运行正常,为政府抗震救灾有效决策提供了科学依据,为稳定社会发挥了作用。     

Lunar noise correlation,imaging and monitoring

Passive seismic techniques have revolutionarised seismology,leading for example to increased resolution in surface wave tomography,to the possibility to monitor changes in the propagation medium,and to many new processing strategies in seismic exploration.Here we review applications of the new techniques to a very particular dataset,namely data from the Apollo 17 lunar network.The special conditions of the lunar noise environment are investigated,illustrating the interplay between the properties of the noise and the ability to reconstruct Green's functions.With a dispersion analysis of reconstructed Rayleigh waves new information about the shallow shear velocity structure of the Moon are obtained.Passive image interferometry is used to study the effect of temperature changes in the subsurface on the seismic velocities providing direct observation of a dynamic process in the lunar environment.These applications highlight the potential of passive techniques for terrestrial and planetary seismology.     

Assimilation of ASAR data with a hydrologic and semi-empirical backscattering coupled model to estimate soil moisture

The most promising approach for studying soil moisture is the assimilation of observation data and computational modeling.However,there is much uncertainty in the assimilation process,which affects the assimilation results.This research developed a one-dimensional soil moisture assimilation scheme based on the Ensemble Kalman Filter(EnKF)and Genetic Algorithm(GA).A two-dimensional hydrologic model-Distributed Hydrology-Soil-Vegetation Model(DHSVM)was coupled with a semi-empirical backscattering model(Oh).The Advanced Synthetic Apertture Radar(ASAR)data were assimilated with this coupled model and the field observation data were used to validate this scheme in the soil moisture assimilation experiment.In order to improve the assimilation results,a cost function was set up based on the distance between the simulated backscattering coefficient from the coupled model and the observed backscattering coefficient from ASAR.The EnKF and GA were used to re-initialize and re-parameterize the simulation process,respectively.The assimilation results were compared with the free-run simulations from hydrologic model and the field observation data.The results obtained indicate that this assimilation scheme is practical and it can improve the accuracy of soil moisture estimation significantly.