钢框架-混凝土抗侧力结构的抗震性能研究

在双重抗侧力结构体系中,地震作用主要由支撑框架或剪力墙等抗侧力结构承受,框架则主要承受竖向荷载,但是对框架的水平抗力也有具体要求。我国规范和美国规范对钢框架-剪力墙结构中框架应该承担的剪力有不同的规定,并且给出相应的抗震校核方法。此外,人们需要了解在混合结构中减少柱的数量对结构抗震性能的影响。为此,本文进行了2种钢-混凝土混合结构地震响应的有限元分析,并且考虑了柱距的变化,得到了轴压比的变化规律,对由两国抗震校核方法的计算结果进行了对比,提出了相关的设计建议。     

基于脉冲响应数据的ARMA法建模以及模态参数识别

本文提出了基于脉冲响应数据的ARMA法建模以及模态参数识别的新方法。该方法利用单位脉冲响应函数与ARMA模型G reen函数等价的特点,通过脉冲响应函数来估计系统响应的自相关系数,然后建立推广的Yu le-W alker方程以求得ARMA模型自回归系数并进行参数识别。最后通过算例,对一个模拟系统进行了参数识别,对采样频率、识别精度、模型阶数之间的影响规律进行了分析。     

水文地球化学信息对岩溶地下水流动系统特征的指示意义--以山西神头泉域为例

神头泉域岩溶水的水化学特征显示,岩溶水样的总溶解固体质量浓度、Sr2 质量浓度及宏量组分质量浓度均由泉域北、西、南部向排泄区增大,与岩溶水的流动方向一致.根据c(Sr)/c(Ca)与总溶解固体质量浓度可将神头泉群划分为3个泉组,对应于3个不同的岩溶水子系统,岩溶水样的聚类分析结果与这一结论相符合.研究表明水文地球化学信息对地下水系统的水动力特征分析具有指示意义.     

玛湖-盆1井西复合含油气系统二叠系地下水动力场的形成与演化

油气运聚及分布和地下水动力场的形成与演化密切相关,随着盆地的演化,地下水动力场也经历了形成、发展和消亡的过程.对水化学、水动力分布特征研究表明,玛湖-盆1井西复合含油气系统二叠系的现今水动力场由于达巴松凸起而呈现分割性,形成玛湖和盆1井西2个独立的水动力体系,欠压实的存在使凹陷内仍然保持离心流特征,而盆地西北缘则是大气水下渗向心流区.研究区二叠系的水动力场演化具有南移特征.     

长江三峡巴东复杂斜坡系统成因研究

三峡库区巴东县新城区所在的扇形大斜坡是一个复杂斜坡系统。斜坡后缘边界的挤压变形带是斜坡整体沿其底界面（T1j^3-T2b^1）之间岩层界面向长江发生重力蠕滑作用的结果,不存在“巴东断裂”问题。斜坡系统内部未发现成规模的褶皱,也不存在数量众多的内动力成因的断裂带。巴东斜坡区浅表生变形破坏类型可概括为侧向拉裂、“雪崩式”垮塌、表层风化、侧向滑移张剪破裂、岩层折断变位、软岩膝折剪破裂和压扭破裂又重胶结7种重力卸荷破坏力学模式。斜坡系统内部发育分期分区（块）滑动（滑坡）现象,但不存在构造地质意义上的“断层”形迹。在地貌形态上,巴东大斜坡被4条冲沟分割成5个斜坡单元。在斜坡地质结构、成因类型与空间分布上,巴东大斜坡可划分为3个层次,即表层崩塌滑坡成因为主的堆积层（第一层次）,冲沟分割且浅表生地质形迹发育的层状顺倾的中间基岩层（第二层次）和整体连续顺倾的深层基岩层（第三层次）。分形几何计算证明,巴东大斜坡的地貌形态尚处于侵蚀发育的青（幼）年期。FLAC^3D数值模拟发现,在长江侵蚀下切的不同阶段,巴东斜坡体前缘和后缘接近底界面位置塑性变形区分布集中,但不具备沿深层界面发生整体滑动剪出的可能性。基本认识是,“巴东复杂斜坡系统”是在官渡口-东瀼口向斜南翼（单斜山）的地质背景下,持续经受长江快速侵蚀下切外动力作用,河谷岸坡快速临空导致其自身重力产生强烈的侧向卸荷与滑移等浅表生地质改造作用过程而形成的,可简单地概括为“重力成因论”。     

低级序复杂断块构造应力场定量模型与油气分布

在对现河低级序帚状断块构造体系研究的基础上,建立了沙一、东营及现今3期构造应力场定量模型,研究了构造应力场特征及其与油气分布的关系。研究表明,不同地质时期应力强度不同,应力的方向和大小都有变化,认为应力值由老到新呈增大趋势。最大水平主应力在平面上自帚状构造的撒开端向收敛端逐渐变低,在剖面上随深度增加而增加,断裂带是应力低值区,也是油气富集区。提出应力转换带为应力低值区,也是低幅断鼻构造的有利分布区,还是开发中后期复杂断块油藏剩余油富集区。      

应用泉水均衡法分析四川省兴文县新坝水库岩溶渗漏问题

岩溶地区水库渗漏是碳酸盐岩地区兴建水利枢纽的主要工程地质问题之一,尤其是在可溶岩广布、岩溶发育强烈、地形复杂地区。拟建兴文县新坝水库地处岩溶地区,存在岩溶渗漏的可能性。通过对该水库库区地质概况、岩溶水系统进行分析研究,论证了水库潜在的三条岩溶渗漏途径均不会发生渗漏;并利用库区降雨量与泉流量进行水均衡计算,计算结果进一步论证了该水库不存在岩溶渗漏问题。     

The additional radiation of Cyg X-1 at primary minimum

New UBV-photoelectric observations of the well-known massive X-ray binary system Cyg X-1/V 1357 Cyg are obtained near the primary minimum. The detailed analysis of these observations confirms the existence of additional blue radiation which appears as a narrow peak with an amplitude of 0.01–0.02 mag near phase 0.00 on the light curve (the superior conjunction of the relativistic component), firstly detected by Lyuty (1985). This emission does not appear at every orbital cycle. The appearance of this narrow peak of additional blue radiation on the light curve of Cyg X-1 can be explained as the radiation of relativistic electrons in the disturbed magnetic field of the optical star in frames of the model proposed by Ikhsanov and Fabrika (1990).     

基于GIS和RS的西藏森林火险等级计算方法

基于遥感技术(RS)和地理信息系统(GIS),利用由基于DEM演算的地面最高温度、最小相对湿度和最大风速等格点化气象要素,FY2静止气象卫星逐日降水反演产品和AVHRR积雪监测产品计算网格森林火险天气等级,结合由植被类型、NDVI、地形要素和公路、人口聚居地等要素评估的森林火险风险等级,综合计算得到网格化的西藏森林火险等级。该项业务程序基于MeteoInfo组件建立,能够实现全自动化业务运行。对于森林火灾事件,通过与基于气象站的森林火险天气等级相比,该方法的准确性更高,能为西藏林区森林防火工作提供有效参考。     

Landslide susceptibility modeling based on ANFIS with teaching-learning-based optimization and Satin bowerbird optimizer

As threats of landslide hazards have become gradually more severe in recent decades,studies on landslide prevention and mitigation have attracted widespread attention in relevant domains.A hot research topic has been the ability to predict landslide susceptibility,which can be used to design schemes of land exploitation and urban development in mountainous areas.In this study,the teaching-learning-based optimization(TLBO)and satin bowerbird optimizer(SBO)algorithms were applied to optimize the adaptive neuro-fuzzy inference system(ANFIS)model for landslide susceptibility mapping.In the study area,152 landslides were identified and randomly divided into two groups as training(70%)and validation(30%)dataset.Additionally,a total of fifteen landslide influencing factors were selected.The relative importance and weights of various influencing factors were determined using the step-wise weight assessment ratio analysis(SWARA)method.Finally,the comprehensive performance of the two models was validated and compared using various indexes,such as the root mean square error(RMSE),processing time,convergence,and area under receiver operating characteristic curves(AUROC).The results demonstrated that the AUROC values of the ANFIS,ANFIS-TLBO and ANFIS-SBO models with the training data were 0.808,0.785 and 0.755,respectively.In terms of the validation dataset,the ANFISSBO model exhibited a higher AUROC value of 0.781,while the AUROC value of the ANFIS-TLBO and ANFIS models were 0.749 and 0.681,respectively.Moreover,the ANFIS-SBO model showed lower RMSE values for the validation dataset,indicating that the SBO algorithm had a better optimization capability.Meanwhile,the processing time and convergence of the ANFIS-SBO model were far superior to those of the ANFIS-TLBO model.Therefore,both the ensemble models proposed in this paper can generate adequate results,and the ANFIS-SBO model is recommended as the more suitable model for landslide susceptibility assessment in the study area considered due to its excellent accuracy and efficiency.