型钢混凝土梁柱框支剪力墙结构抗震性能试验研究

框支剪力墙结构在实际工程中经常被采用,震害表明钢筋混凝土框支剪力墙结构抗震性能较差,本文提出型钢混凝土梁柱框支剪力墙结构对此加以改进。作者进行了4个1/4缩尺模型在竖向荷载和单调及低周反复水平荷载作用下的对比试验,其中3个试件采用型钢混凝土转换梁、型钢混凝土框支柱,1个试件采用钢筋混凝土转换梁、钢筋混凝土框支柱。我们分析其承载力、刚度、变形、延性和破坏形态等。试验结果表明,型钢混凝土梁柱框支剪力墙结构承载力高、延性好、滞回曲线丰满,变形能力和耗能能力较强。     

FRP约束混凝土柱抗震性能若干问题的探讨

基于实验研究和理论分析结果,对纤维增强复合材料(FRP)约束混凝土柱抗震性能研究中存在的若干关键问题进行了探讨,包括FRP约束混凝土构件在往复荷载作用下的受力特点、破坏特征、荷载-位移关系、弯矩-曲率关系、耗能及延性变化规律等,最后重点探讨了FRP约束混凝土柱在往复荷载作用下的刚度特性。     

轴压比对中等高度LC结构剪力墙抗震性能的影响

轻骨料混凝土(L ight-we ight concrete,简称LC)剪力墙的轴压比是剪力墙抗震设计时一个重要的控制因素,直接关系到其延性性能。为使设计规程具有足够的理论依据,本文通过对六榀轻骨料混凝土剪力墙试件的试验,研究了在低周反复荷载作用下,着重考虑不同轴压比对中等高度有边框剪力墙的破坏形态和变形性能的影响效应,对其滞回特性进行分析,计算了各剪力墙的刚度退化率与延性系数,并将无竖缝剪力墙与带竖缝剪力墙的抗震性能进行了对比。     

钢-混凝土组合剪力墙抗震性能研究简述

钢-混凝土组合剪力墙可以充分发挥钢和混凝土2种材料的优势,改善传统钢筋混凝土剪力墙延性和耗能能力较差的缺点,在钢-混凝土混合结构中具有应用优势。本文简要介绍了国内外一些新型的钢-混凝土组合剪力墙,并简述了其抗震性能的研究现状,最后对一些关键问题进行了初步探讨。     

珠江口硒的形态分布特征

硒属于硫族元素,在化学和生物化学性质上,硒与硫、碲相似.它和砷一样也是一种类金属物质.硒广泛存在于自然界中,岩石、土壤、沉积物、水体、生物体以及大气环境都含有不同程度的硒.硒是生物必需的一种微量元素,一方面表现出重要的生物功能,另一方面在较高浓度下也表现出毒性,摄入过多可导致动物和人硒中毒[1].在陆源硒向海洋的输送中河流占重要贡献,河流可能是溶解硒输入海洋的主要来源[2,3].河口区是陆地径流与海水相互混合的地带,其中发生的反应直接影响元素的入海通量,因此研究河口化学元素的行为对估计河流向海洋的输入及建立全球生物地球化学循环模型有十分重要的意义.     

Undrained monotonic shear behavior of marine soft clay after long-term cyclic loading

Abstract

In the coastal area, nearshore and offshore structures have been or will be built in marine soft clay deposits that have experienced long-term cyclic loads. Therefore, the mechanical behavior of marine clay after long-term cyclic loading needs to be investigated. In this research, a series of monotonic and cyclic triaxial tests were carried out to investigate the postcyclic mechanical behavior of the marine soft clay. The postcyclic water pore pressure, shear strength and secant stiffness are discussed by comparing the results with the standard monotonic test (without cyclic loading). It is very interesting that the postcyclic behavior of marine soft clay specimen is similar to the behavior of overconsolidated specimen, that is, the specimen shows apparent overconsolidation behavior after long-term cyclic loading. Then relationship between the overconsolidation ratio and the apparent overconsolidation ratio is established on the basis of the theory of equivalent overconsolidation. Finally, a validation formula is proposed which can predict the postcyclic undrained shear strength of marine soft clay.     

土地利用视角下城市交通事故驱动机理的研究进展

城镇化与机动交通的快速发展,引发了城市土地利用与交通系统的重塑,导致城市交通安全问题日益严峻。为了优化土地利用布局并改善交通安全,需要从土地利用视角开展交通事故的驱动机理研究。国内外该方面研究形成了以交通流量和交通速度为主要中介因素联系土地利用与交通事故的经典理论框架,却忽略了源于土地利用并深刻影响交通安全的交通需求因素,导致缺乏“土地利用—交通需求—交通事故”完整路径链的研究。论文通过综述该领域文献,在归纳总结城市交通事故影响因素的基础上,揭示土地利用视角下交通事故的驱动机理并探讨未来研究方向。研究指出,土地利用的多维属性特征对交通事故具有重要影响,土地利用与交通系统的动态匹配关系及其对出行行为的影响是揭示交通事故驱动机理的关键突破口,对于构建交通安全导向的城市土地利用模式具有重要的理论与实践意义。     

社区生活圈的新时间地理学研究框架

社区生活圈从居民日常活动及行为视角考察城市社区,是城市地理学和城市相关学科的研究前沿,也是中国国土空间规划体系创新的重要组成部分,以及中国城市社会可持续发展的重要抓手。伴随着流动性和信息化的不断深入,社区生活圈的主体日益多元化、社区活动和居民时空行为日益多样化、社区空间的功能与意义日益丰富化,亟需城市地理学的研究创新与实践引导。时间地理学是理解人与环境关系的社会—技术—生态综合方法,为早期基于时空行为与生活空间的社区生活圈研究提供了重要基础。新时间地理学重视家庭及其他组织企划的交互与时空组合,可为社区生活圈内个体—家庭—社区之间的复杂互动关系研究、时空行为的社会文化制约与多情境分析及模拟提供重要支撑。论文基于新时间地理学方法,从理论、方法和实证3个维度提出社区生活圈的新时间地理学研究框架,具体包括构建社区生活圈的时空行为理论,揭示社区生活圈的时空间结构;创新社区生活圈的时空行为分析和模拟方法;从社区生活圈时空行为优化、社区交往生活圈、社区安全生活圈等方面创新中国城市规划与管理等研究内容。     

Detection of coffee berry necrosis by digital image processing of landsat 8 oli satellite imagery

Coffee berry necrosis is a fungal disease that, at a high level, significantly affects coffee productivity. With the advent of surface mapping satellites, it was possible to obtain information about the spectral signature of the crop on a time scale pertinent to the monitoring and detection of plant phenological changes. The objective of this paper was to define the best machine learning algorithm that is able to classify the incidence CBN as a function of Landsat 8 OLI images in different atmospheric correction methods. Landsat 8 OLI images were acquired at the dates closest to sampling anthracnose field data at three times corresponding to grain filling period and were submitted to atmospheric corrections by DOS, ATCOR, and 6SV methods. The images classified by the algorithms of machine learning, Random Forest, Multilayer Perceptron and Naive Bayes were tested 30 times in random sampling. Given the overall accuracy of each test, the algorithms were evaluated using the Friedman and Nemenyi tests to identify the statistical difference in the treatments. The obtained results indicated that the overall accuracy and the balanced accuracy index were on an average around 0.55 and 0.45, respectively, for the Naive Bayes and Multilayer Perceptron algorithms in the ATCOR atmospheric correction. According to the Friedman and Nemenyi tests, both algorithms were defined as the best classifiers. These results demonstrate that Landsat 8 OLI images were able to identify an incidence of the coffee berry necrosis by means of machine learning techniques, a fact that cannot be observed by the Pearson correlation.