Identification of structural parameters of multistorey shear buildings from modal data

A procedure has been presented in this paper to identify the structural parameters, viz. mass and stiffness matrices, from modal test data for multistorey shear buildings. The first two orders of modal data have been used by other researchers to estimate the global matrices where they depend only on measurable points which are less than the total number of structural degrees of freedom. The above method has been refined here by using Holzer criteria along with other numerical methods to estimate the global mass and stiffness matrices of the structure. This shows the methodology to be more efficient and accurate. The reliability of the procedure has been shown by examples of multistorey buildings. Copyright © 2004 John Wiley & Sons, Ltd.     

Three dimensional numerical simulation of residential building on shrink–swell soils in response to climatic conditions

Shrink–swell soils can cause distresses in buildings, and every year, the economic loss associated with this problem is huge. This paper presents a comprehensive system for simulating the soil–foundation–building system and its response to daily weather conditions. Weather data include rainfall, solar radiation, air temperature, relative humidity, and wind speed, all of which are readily available from a local weather station or the Internet. These data are used to determine simulation flux boundary conditions. Different methods are proposed to simulate different boundary conditions: bare soil, trees, and vegetation. A coupled hydro‐mechanical stress analysis is used to simulate the volume change of shrink–swell soils due to both mechanical stress and water content variations. Coupled hydro‐mechanical stress‐jointed elements are used to simulate the interaction between the soil and the slab, and general shell elements are used to simulate structural behavior. All the models are combined into one finite element program to predict the entire system's behavior. This paper first described the theory for the simulations. A site in Arlington, Texas, is then selected to demonstrate the application of the proposed system. Simulation results are shown, and a comparison between measured and predicted movements for four footings in Arlington, Texas, over a 2‐year period is presented. Finally, a three‐dimensional simulation is made for a virtual residential building on shrink–swell soils to identify the influence of various factors. Copyright © 2015 John Wiley & Sons, Ltd.     

超高层建筑GPS实时动态监测技术研究

在特高等级精密工程的测量范畴内,实现对超高层建筑的施工监测是一个非常重要的工作内容,GPS实时动态监测技术在监测中发挥着不可忽视的作用。本文首先对GPS监测技术做简要阐述,并分析了超高层建筑的特点;然后指出了GPS监测技术在施工监测中所发挥的作用;最后结合案例,具体分析了GPS监测技术在超高层建筑中的应用,以期为超高层建筑GPS实时动态监测技术的相关研究提供部分参考意见。     

基于 CCD 方法的超高层建筑周日摆动监测研究

对超高层建筑塔体进行周日摆动监测,为施工投点纠偏和选择合适投点时机提供科学依据,是施工控制网竖向传递的核心问题。文中针对现有方法在自动化采集及实时表达方面的不足,基于自适应阈值激光光斑中心定位方法,自主研发基于CCD的塔体摆动监测系统,并采用倾斜仪方法与之做同步比较研究。两种方法在广州市东塔施工第三方监测中互为检核验证,具有借鉴意义。     

Evaluation of effectiveness of three fuzzy systems and three texture extraction methods for building damage detection from post-event LiDAR data

Building damage maps after disasters can help us to better manage the rescue operations. Researchers have used Light Detection and Ranging (LiDAR) data for extracting the building damage maps. For producing building damage maps from LiDAR data in a rapid manner, it is necessary to understand the effectiveness of features and classifiers. However, there is no comprehensive study on the performance of features and classifiers in identifying damaged areas. In this study, the effectiveness of three texture extraction methods and three fuzzy systems for producing the building damage maps was investigated. In the proposed method, at first, a pre-processing stage was utilized to apply essential processes on post-event LiDAR data. Second, textural features were extracted from the pre-processed LiDAR data. Third, fuzzy inference systems were generated to make a relation between the extracted textural features of buildings and their damage extents. The proposed method was tested across three areas over the 2010 Haiti earthquake. Three building damage maps with overall accuracies of 75.0%, 78.1% and 61.4% were achieved. Based on outcomes, the fuzzy inference systems were stronger than random forest, bagging, boosting and support vector machine classifiers for detecting damaged buildings.     

Elucidating hydrological complexity and climate-influenced diagenesis during the early Carboniferous of South Wales

A revised age provided by conodonts from the Gilwern Oolite of the Clydach area of South Wales allows a clearer understanding of the palaeohydrology, palaeoclimatic history and diagenesis of previously correlated oolitic units. Earlier uncertainty over the apparent sub-regional differences in climate during the early Visean (Chadian—Arundian) lowstand is resolved. Previously a humid interval evidenced by prominent palaeo-epikarst capping the Gilwern Oolite along the northern outcrops of the South Wales synclinorium, was not recognized in what were regarded as correlative outcrops in the Chadian Gully Oolite in the southern part of the synclinorium. Conodont dating now shows that the Gilwern Oolite is much older (Courceyan) than the Chadian Gully Oolite, and during the prolonged exposure of the former there was an interval of weathering under a humid climate. This also explains the contrast between the diagenesis seen between the Gilwern and Gully oolites, which are no longer seen as correlatives.     

基于逻辑回归的四川青川县区域滑坡灾害预警模型

四川省青川县滑坡灾害群发,点多面广,区域滑坡灾害预警是有效防灾减灾的重要手段,预警模型是成功预警的核心。由于研究区滑坡诱发机理复杂、调查监测大数据及分析方法不足等原因,传统区域地质灾害预警模型存在预警精度有限、精细化不足等问题。文章在青川县地质灾害调查监测和降水监测成果集成整理与数据清洗基础上,构建了青川县区域滑坡灾害训练样本集,样本集包括地质环境、降雨等27个输入特征属性和1个输出特征属性,涵盖了青川县近9年（2010—2018年）全部样本,数量达1 826个（其中,正样本613个,负样本1 213个）。基于逻辑回归算法,对样本集进行5折交叉验证学习训练,采用贝叶斯优化算法进行模型优化,采用精确度、ROC曲线和AUC值等指标校验模型准确度和模型泛化能力。其中,ROC曲线也称为“受试者工作特征”曲线;AUC值表示ROC曲线下的面积。校验结果显示,基于逻辑回归算法的模型训练结果准确率和泛化能力均较好（准确率94.3%,AUC为0.980）。开展区域滑坡实际预警时,按训练样本特征属性格式,输入研究区各预警单元27个特征属性,调用预先学习训练好的模型,输出滑坡灾害发生概率,根据输出概率分段确定滑坡灾害预警等级。当输出概率P≥40%且P<60%时,发布黄色预警;当输出概率P≥60%且P<80%时,发布橙色预警;当输出概率P≥80%时,发布红色预警。     

基于KronosFlow软件对逆冲推覆带构造-热演化的初探

盆地模拟是含油气盆地勘探评价的重要技术方法之一,然而传统的盆地建模2D模拟技术仅适用于拉张型盆地,使得挤压型盆地横向上的热史重建一直是个难题,从而制约了进一步的油气勘探。目前由法国Beicip-Franlab公司设计的KronosFlow软件突破了传统盆模软件对逆冲推覆带、盐构造和泥底辟等复杂构造的局限性,精确控制了横向和垂向上的构造位移,通过跟踪单个网格连续运动形态、恢复侧向变形量以及与TemisFlow软件无缝衔接,实现了对挤压型盆地埋藏史、热史、生排烃史以及油气运聚史的恢复。以塔里木盆地北缘柯坪逆冲推覆带和库车逆冲推覆带为例,利用KronosFlow软件定量反演了新生代以来的构造-热演化历史,并以实测数据约束并验证挤压环境下盆地模拟结果的有效性。柯坪逆冲推覆带的依木干他乌断层在40~30 Ma再次活动,断层附近志留系—泥盆系的温度大于85 ℃,柯坪塔格断层在15~10 Ma活动,断层附近志留系—泥盆系的温度小于70 ℃,寒武系（烃源岩成熟度为1.3%~1.7%）和奥陶系（烃源岩成熟度为0.7%~1.2%）烃源岩热演化程度高,生烃能力强。库车逆冲推覆带侏罗系北段温度介于50~70 ℃,南段温度介于210~230 ℃,盐构造造成地温异常,其中秋里塔格构造带膏盐岩最厚,降温效果最明显。      

地磁台站建设中磁测异常现象分析

地磁台建设磁性跟踪测试工作很重要,通过对跟踪磁测中发现的一个异常现象的分析,计算了不同重量、距离的铁磁性物质对磁房建筑场地磁场的影响,讨论了排除施工现场磁性干扰的一些办法,并得出各种重量铁磁性物质与磁房建筑物的安全距离,还讨论了地磁台部分建筑材料的选择问题。