Modeling of environmental influence in structural health assessment for reinforced concrete buildings

One branch of structural health monitoring (SHM) utilizes dynamic response measurements to assess the structural integrity of civil infrastructures. In particular,modal frequency is a widely adopted indicator for structural damage since its square is proportional to structural stiffness. However,it has been demonstrated in various SHM projects that this indicator is substantially affected by fluctuating environmental conditions. In order to provide reliable and consistent information on the health status of the monitored structures,it is necessary to develop a method to filter this interference. This study attempts to model and quantify the environmental influence on the modal frequencies of reinforced concrete buildings. Daily structural response measurements of a twenty-two story reinforced concrete building were collected and analyzed over a one-year period. The Bayesian spectral density approach was utilized to identify the modal frequencies of this building and it was clearly seen that the temperature and humidity fluctuation induced notable variations. A mathematical model was developed to quantify the environmental effects and model complexity was taken into consideration. Based on a Timoshenko beam model,the full model class was constructed and other reduced-order model class candidates were obtained. Then,the Bayesian modal class selection approach was employed to select the one with the most suitable complexity. The proposed model successfully characterizes the environmental influence on the modal frequencies. Furthermore,the estimated uncertainty of the model parameters allows for assessment of the reliability of the prediction. This study not only improves the understanding about the monitored structure,but also establishes a systematic approach for reliable health assessment of reinforced concrete buildings.     

甘肃祁连山主动源重复探测项目建设及震源重复性分析

甘肃祁连山主动源重复探测激发源位于甘肃省张掖市祁连山西流水水库,2015年7月9日各系统开始正式运行,11月10日完成了为期40天的连续激发实验。观测资料处理结果表明,气枪震源具有良好的一致性和可重复性,整个观测系统能比较清晰地记录到震源激发的信号。祁连山主动源项目建设取得的结果可为主动源探测工作提供宝贵经验和科学借鉴,不断取得的观测数据为跟踪了解祁连山地区的深部结构时空变化提供了可能。     

Morphology,structure and kinematics of a rainfall controlled slow‐moving Andean landslide,Peru

The large slow‐moving landslide of Maca is located in the upper Colca valley (southern Peru), a region characterized by a well pronounced rainy period, and intense and recurrent sustained seismicity. The landslide, developed in deep lacustrine deposits, has recently accelerated, threatening the Maca village. This work aims at understanding the rupture mechanism and the causes of the recent landslide reactivation/acceleration. We present a multidisciplinary characterization of the Maca landslide that includes: (i) geological and morphological mapping in the field; (ii) remote sensing analysis using an historical aerial photograph of 1955 and the Pléiades satellite images (2013); (iii) global positioning system (GPS) including time‐series of surveys over 13 years, and continuous measurements over 14 months; (iv) a geophysical campaign with deep electrical resistivity tomography profiles acquired across the landslide mass. Our study shows that this 60 Mm³ landslide, which can be classified as a clay/silt compound landslide, moved by 15 m between 2001 and 2014 with a large inter‐annual velocity variation (up to a factor of 500) depending on the rainfall intensity. We suggest that these dramatic changes in velocity are the result of the combination of a threshold mechanism and the short intense rainy season in Peru. This study reveals three main driving factors acting at different timescales: (i) over several decades, the river course has significantly changed, causing the Maca landslide reactivation in the 1980s due to the erosion of its toe; (ii) at the year scale, a minimum amount of rainfall is required to trigger the motion and this amount controls the landslide velocity; (iii) transient changes in slide velocity may occur anytime due to earthquakes. This study particularly highlights the non‐linear behaviour of the motion with rainfall. Copyright © 2016 John Wiley & Sons, Ltd.     

基础隔震结构健康监测系统的设计与实现(Ⅱ):系统实现

作为保障工程安全和研究结构灾变机理的重要手段,结构健康监测为研究基础隔震技术在实际工程应用中的问题提供了技术保证。基于"基础隔震结构健康监测系统的设计与实现(Ⅰ):系统设计"中的设计方法,研究某超长基础隔震结构健康监测系统的总体设计、传感器选型与测点布设、数据采集与传输方案及数据库结构设计,并对该系统已获取的监测数据进行初步分析。分析结果表明,该基础隔震结构健康监测系统协调运行状态良好,能实现其预期功能。基于性能状态评价指标对该结构状态进行评价,表明该基础隔震结构性能状态良好。     

福建测震台网单台震级偏差与台站场地响应关系的初步分析

利用福建测震台网2008年10月~2015年12月记录的每个事件至少有6个台站测算震级的3069个区域地震事件,进行单台震级与台网平均震级的偏差统计,获得了各台站的总的震级平均偏差为-0.31~0.68,并统计各台站测算震级所量取最大记录振幅相应的周期,获得优势周期为0.06~0.38s;通过Moya方法反演各测震台站的场地响应,获得98个台站对1~20Hz频带的场地响应,结果显示场地对某些频带信息有放大或抑制作用;通过比较Wood-Anderson地震仪摆固有0.8s周期所对应的场地响应、各台样本优势周期所对应场地响应的震级偏差与各台总的震级平均偏差,发现台站测算震级相应优势周期的场地响应的震级偏差与台站震级平均偏差有较好的线性关系,表明单台震级的偏差与测算震级所量取最大记录振幅相应的周期的场地响应有较大关系。     

地震监测中环境因素对精密水准观测影响分析

区域精密水准测量在地震监测中发挥了重要的作用,但是由于其作业范围广、观测周期长,容易受外界复杂多变的环境因素影响。目前对环境因素的影响分析大多是定性描述,缺乏实验观测数据的支撑。针对这一问题,选取大约2000km区域精密水准观测数据,结合观测环境资料,统计分析不同环境因素对观测成果的影响程度,并提出了相应的改进措施。     

新疆阿尔泰山喀纳斯湖冰层温度变化规律试验研究

2014年12月-2015年4月期间,新疆布尔津县喀纳斯湖举行了冰上旅游项目。为监测冰层生长、发育和融化状况,分别对喀纳斯湖（湖边、湖中）A、B、C三点进行温度监测,利用监测得到的冰层温度数据绘制湖冰从上到下温度分布状况图。根据湖边与湖中的冰层结构特点,从冰层的天然结构角度分析湖冰结构对温度分布的影响。结果表明：天然冰层中温度传递系数并不是一致不变的,既受冰上气温、冰下湖水温度的影响,也受到冰层自身结构状况的影响,并进一步阐述了湖面冰层的温度分布规律与变化成因,为分析温度对冰层强度的影响奠定了基础。     

深部高承压水地层裂隙岩体冻结温度场实测研究

通过深部高承压水地层冻结法凿井现场实测,获得矿井裂隙岩体各个层位测温孔的温度和盐水去回路干管温度变化规律.结果表明:测温孔实测温度在冻结初期呈线性下降规律;当温度继续降低到岩石的结冰温度以后,降温速率逐步增加;当冻结帷幕达到设计温度时,实测温度变化趋于平缓;外圈管外侧测温孔降温速率最慢,两圈管之间位置的测温孔降温速率最快;位于不同位置不同层位的测温孔降温速率不一致,其中位于92m深度的卵石层(C1^#测温孔)降温速率为0.54℃·d^-1,位于209m深度的砂质泥岩(C3^#测温孔)降温速率为0.9℃·d^-1;根据实测温度可以预测地层形成冻结帷幕的交圈时间、厚度、平均温度等冻结设计参数.深部裂隙岩体冻结温度实测资料对指导冻结帷幕设计与施工具有重要实践意义.     

岩体破裂尺度与频率特征关系及其工程实证研究

将S变换时频分析技术引入微震信号波形分析领域,通过震源破裂尺度,研究微震信号频率特征与岩体变形破坏之间的联系。以西南地区3个水电工程作为研究对象,将大量微震监测数据作为统计样本以减小外部因素对参数计算的影响。在该基础上统计、分析岩体破裂尺度与微震信号频率之间的关系,结合大渡河猴子岩水电站地下厂房微震与多点位移计监测资料进行工程实证研究。研究结果表明,当岩体破裂尺度增大时微震信号高频成分减少,表现出低频特征;在围岩变形过程中微震信号高频成分呈现出先减少再增加的演化规律,围岩发生明显变形前微震信号出现由高频向低频转移的现象,因此,可将聚集区域内微震信号频率降低作为该区域岩体宏观变形破坏的前兆信息。研究结果可为基于微震监测的岩体工程稳定性分析及其灾害预测预报提供参考。