福州平安大厦深基坑支护设计与施工          下载免费PDF全文

阮广招  黄金灿 《探矿工程》1999,(4):14-15,21

深基坑支护设计与施工是当前城市高层、超高层建筑突显的技术难题。通过工程实例,从设计方案的选择到施工、监测,提供了有益的经验。  相似文献   

CFG短桩复合地基技术用于高层建筑地基处理的探讨   总被引：3，自引：0，他引：3       下载免费PDF全文

何世鸣 《探矿工程》1999,(4):16-19

阐述了ＣＦＧ短桩复事地基技术的特点及应用范围,并列举了２个具体的工程实例,经过实践验证该技术是一项省钱、施工质量容易得到保证且能满足复合地基承载力及最终沉降量要求的新技术。探讨了ＣＦＧ短桩复合地基设计中的几个理论问题,产提出了该项技术的进一步研究方向。  相似文献   

Consideration of the genus Ginkgoites Seward and a redescription of two species from the Lower Cretaceous of Germany     

Ginkgoites 《Cretaceous Research》1999,20(6):719

Genera used for fossil ginkgoalean leafy shoots, especially Baiera F. Braun,Ginkgoites Seward and Ginkgo L., are discussed both in their historical context and in the light of recent discoveries. Use of Ginkgoites Seward as a form- or organ-genus for fossil leaves lacking associated reproductive structures is readopted. Two species, Ginkgoitesbrauniana (Dunker) comb. nov. and Ginkgoites pluripartita (Schimper) Seward, from the Lower Cretaceous Wealden facies of Germany, are rediagnosed and neotypes selected. The occurrence of G. pluripartita in the Lower Cretaceous of western Greenland, Montana, U S A, Canada and Siberia is confirmed.  相似文献   

Eomatsucoccus andrewi sp. nov. (Hemiptera: Sternorrhyncha: Coccinea) from the Lower Cretaceous of southern England     

Eomatsucoccus andrewi 《Cretaceous Research》1999,20(6):863

Eomatsucoccus andrewi sp. nov. (Hemiptera: Sternorrhyncha: Coccinea: Matsucoccida) has been established on the basis of a wing impression from the Lower Weald Clay (Hauterivian, Lower Cretaceous) at Keymer Tileworks, West Sussex, southern England. It differs from the other two Lower Cretaceous species, E. sukachevae Koteja and E. popovi Koteja, in wing size (c. 3.3 mm long) and shape (gradually tapering towards apex). The taxonomy and palaeontology of the matsucoccids are discussed.  相似文献   

单细胞藻吸收Cu²⁺，Zn²⁺,Se⁴⁺,Cd²⁺的扫描 电镜X射线能谱分析     

苏秀榕刘照彬  迟庆宏李太武　　PaulK. Chien 《海洋科学》1999

  相似文献   

基于谱烈度改进算法的研究与应用          下载免费PDF全文

李通    姚新强    郭迅  曹井泉  刘红艳 《世界地震工程》2023,39(1):189-199

本文基于Housner谱烈度公式中存在的不足和问题提出了一种改进算法,首先将相对速度反应谱积分公式上下限范围扩大为0.1～10.1 s,通过统计分析集集地震、汶川地震和芦山地震反应谱积分值和宏观烈度之间的关系,给出8组分档线性公式来计算改进谱烈度值I_s,并采用普通克里金插值法绘制谱烈度分布图。本文提出的改进算法在地震动加速度时程积分与谱烈度之间建立起一组长周期、连续性和精细化的函数关系,经鲁甸地震对比验证,该改进算法得出的谱烈度分布图与宏观烈度图整体变化趋势一致,谱烈度值与宏观烈度吻合率(偏差±1度以内)约为90%,具有一定的科学性和准确性,可为灾后应急救援以及决策部署等提供科学的数据支撑。  相似文献   

旋转地震合成及其在大跨度悬索桥中的应用          下载免费PDF全文

蓝先林  马白虎  贾宏宇  徐向东  杜镔 《世界地震工程》2023,39(1):164-172

为探究旋转地震动在大跨度悬索桥中的应用,首先,从线弹性理论和功率谱角度基于随机振动理论提出了6维地震动加速度功率谱模型;其次,基于MATLAB编制旋转地震动人工地震合成程序,从反应谱角度对合成地震动进行了正确性验证和拟合精度迭代调整;最后,分析了旋转地震动与地震动入射角对桥梁结构地震响应的影响。研究表明：人工合成的地震动平动分量反应谱与实测地震动的平动分量反应谱吻合度较高;六维地震动的主梁跨中竖向位移越是三维平动地震动的3倍,而主缆轴力峰值接近2.25E+05kN,约是三维平动地震动的1.3倍;旋转地震动和地震动入射角将会加大桥梁结构的位移响应和内力响应,且会减小塔底截面和桩最不利截面的安全性。  相似文献   

Conditional heavy-tail behavior with applications to precipitation and river flow extremes     

Paul?KinsvaterEmail authorView author&#;s OrcID profile  Roland?Fried 《Stochastic Environmental Research and Risk Assessment (SERRA)》2017,31(5):1155-1169

This article deals with the right-tail behavior of a response distribution \(F_Y\) conditional on a regressor vector \({\mathbf {X}}={\mathbf {x}}\) restricted to the heavy-tailed case of Pareto-type conditional distributions \(F_Y(y|\ {\mathbf {x}})=P(Y\le y|\ {\mathbf {X}}={\mathbf {x}})\), with heaviness of the right tail characterized by the conditional extreme value index \(\gamma ({\mathbf {x}})>0\). We particularly focus on testing the hypothesis \({\mathscr {H}}_{0,tail}:\ \gamma ({\mathbf {x}})=\gamma _0\) of constant tail behavior for some \(\gamma _0>0\) and all possible \({\mathbf {x}}\). When considering \({\mathbf {x}}\) as a time index, the term trend analysis is commonly used. In the recent past several such trend analyses in extreme value data have been published, mostly focusing on time-varying modeling of location or scale parameters of the response distribution. In many such environmental studies a simple test against trend based on Kendall’s tau statistic is applied. This test is powerful when the center of the conditional distribution \(F_Y(y|{\mathbf {x}})\) changes monotonically in \({\mathbf {x}}\), for instance, in a simple location model \(\mu ({\mathbf {x}})=\mu _0+x\cdot \mu _1\), \({\mathbf {x}}=(1,x)'\), but the test is rather insensitive against monotonic tail behavior, say, \(\gamma ({\mathbf {x}})=\eta _0+x\cdot \eta _1\). This has to be considered, since for many environmental applications the main interest is on the tail rather than the center of a distribution. Our work is motivated by this problem and it is our goal to demonstrate the opportunities and the limits of detecting and estimating non-constant conditional heavy-tail behavior with regard to applications from hydrology. We present and compare four different procedures by simulations and illustrate our findings on real data from hydrology: weekly maxima of hourly precipitation from France and monthly maximal river flows from Germany.  相似文献   

Spectral density regression for bivariate extremes     

Daniela?Castro Camilo  Miguel?de CarvalhoEmail authorView author&#;s OrcID profile 《Stochastic Environmental Research and Risk Assessment (SERRA)》2017,31(7):1603-1613

We introduce a density regression model for the spectral density of a bivariate extreme value distribution, that allows us to assess how extremal dependence can change over a covariate. Inference is performed through a double kernel estimator, which can be seen as an extension of the Nadaraya–Watson estimator where the usual scalar responses are replaced by mean constrained densities on the unit interval. Numerical experiments with the methods illustrate their resilience in a variety of contexts of practical interest. An extreme temperature dataset is used to illustrate our methods.  相似文献   

Spatial models for probabilistic prediction of wind power with application to annual-average and high temporal resolution data   总被引：1，自引：1，他引：0  

Amanda?LenziEmail authorView author&#;s OrcID profile  Pierre?Pinson  Line?H.?Clemmensen  Gilles?Guillot 《Stochastic Environmental Research and Risk Assessment (SERRA)》2017,31(7):1615-1631

Producing accurate spatial predictions for wind power generation together with a quantification of uncertainties is required to plan and design optimal networks of wind farms. Toward this aim, we propose spatial models for predicting wind power generation at two different time scales: for annual average wind power generation, and for a high temporal resolution (typically wind power averages over 15-min time steps). In both cases, we use a spatial hierarchical statistical model in which spatial correlation is captured by a latent Gaussian field. We explore how such models can be handled with stochastic partial differential approximations of Matérn Gaussian fields together with Integrated Nested Laplace Approximations. We demonstrate the proposed methods on wind farm data from Western Denmark, and compare the results to those obtained with standard geostatistical methods. The results show that our method makes it possible to obtain fast and accurate predictions from posterior marginals for wind power generation. The proposed method is applicable in scientific areas as diverse as climatology, environmental sciences, earth sciences and epidemiology.  相似文献