大数据环境下水平土层地震反应谱计算分析(Matlab土层地震反应处理与大数据框架平台的嵌接)
发布时间:2018-01-09 01:18
本文关键词:大数据环境下水平土层地震反应谱计算分析(Matlab土层地震反应处理与大数据框架平台的嵌接) 出处:《安徽理工大学》2017年硕士论文 论文类型:学位论文
更多相关文章: Matlab平台 岩土工程数据库 一维剪切梁模型 地震反应 MapInfo平台
【摘要】:每年世界各地的地震灾害都会造成大量人员伤亡及巨大的经济损失,因此对地震的研究很早就开始了,在对历史震害进行大量分析后发现场地条件对震害有很大的影响。为了在抗震计算时定量地体现这种影响,我国早就《建筑抗震设计规范》内引入了场地类别、抗震设防等级、地震影响系数α曲线等。但当进行抗震计算的建筑的场地条件需要细分或者建筑很重要的情况下就需要利用时程法进行反应分析。以往人们都是先现场钻孔获得土层数据再实验获得土动力参数,最后手工输入钻孔资料计算,这样不仅费时费力且容易造成人为失误。当前岩土工程的数据量越来越大工程结构越来越复杂,这使得原先那种简单数据形式已经很难满足要求了。近些年来兴起的大数据技术就能很好地解决这个问题,本文就是利用该技术编写了 Matlab下的反应计算,并嵌入了大数据平台。本文首先简述了地震加速度反应谱的研究现状,介绍了计算模型及计算理论,在此基础上介绍了该程序Matlab计算流程。然后利用该模块杭州地区几个Ⅱ,Ⅲ,Ⅳ类场地条件下输入两组人造地震动求得反应谱及动力系数α、动力放大系数最大值βmax等参数以此来分析计算模块的合理性及精度。对于大数据处理本程序连接的杭州市岩土工程数据库。之后用该程序计算了杭州市的一个工程实例以此来认识该程序的操作流程。最后笔者总结分析该程序的特点,并提出不足之处及相应解决方案,希望能为大数据反应谱计算领域提供一点参考作用。
[Abstract]:Every year, earthquake disasters around the world will cause a large number of casualties and huge economic losses, so the study of earthquakes began very early. It is found that the site condition has a great influence on the earthquake damage after analyzing the historical earthquake damage. In order to reflect this effect quantitatively in the seismic calculation, the site category has been introduced into the Code for Seismic Design of buildings in our country for a long time. Grade of seismic fortification. The seismic influence coefficient 伪 curve, etc. But when the site condition of the seismic calculation needs to be subdivided or the building is very important, it is necessary to use the time-process method to carry out the response analysis. In the past, people used to drill holes in the field first to obtain the response. Soil dynamic parameters were obtained by experiments. Finally, manual input of borehole data calculation is not only time-consuming and laborious, but also easy to cause human error. At present, the amount of data of geotechnical engineering is more and more large and the engineering structure is becoming more and more complex. This makes it difficult to meet the requirements in the form of simple data. Big data technology, which has emerged in recent years, is a good solution to this problem. In this paper, the response calculation under Matlab is compiled and embedded in the big data platform. Firstly, the research status of seismic acceleration response spectrum is briefly described, and the calculation model and calculation theory are introduced. On this basis, the program Matlab calculation flow is introduced, and then two sets of artificial ground motions are inputted to obtain the response spectrum and the dynamic coefficient 伪 under the condition of several sites of class 鈪,
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