Development of the cyclic p–y curve for a single pile in sandy soil     

Sung-Ha Baek  Joonyoung Kim  Seung-Hwan Lee 《Marine Georesources & Geotechnology》2018,36(3):351-359

Pile foundations that support transmission towers or offshore structures are dominantly subjected to cyclic lateral load induced by wind and waves. For a successful design, it is crucial to investigate the effect of cyclic lateral loads on the pile behavior that is loaded laterally. Although the p–y curve method is generally utilized to design the cyclic laterally loaded pile foundations, the effect of cyclic lateral loads on the pile has not been properly implemented with the p–y curve. This reflects a lack of consideration of the overall stiffness change in soil–pile interaction. To address this, a series of model pile tests were conducted in this study on a preinstalled aluminum flexible pile under various sandy soil conditions. The test results were used to investigate the effect of cyclic lateral loads on the p–y behavior. The cyclic p–y curve, which properly takes into account this effect, was developed as a hyperbolic function. Pseudo-static analysis was also conducted with the proposed cyclic p–y curve, which showed that it was able to properly simulate cyclic laterally loaded pile behavior in sandy soil.  相似文献   

Response and capacity of monopod caisson foundation under eccentric lateral loads     

Tanmoy Kumar Deb  Baleshwar Singh 《Marine Georesources & Geotechnology》2018,36(4):452-464

Monopod caisson foundation is a viable alternative for supporting offshore wind turbines located at shallow water depths. This foundation system has to resist overturning moment generated due to resultant lateral load, arising from wind and water wave action, that can act at any loading height above the seabed. This paper presents results of a numerical investigation performed to determine the influence of loading height, caisson geometry and superstructure load on the ultimate lateral capacity, initial stiffness, and soil failure zone of the foundation, when installed in very dense sand. Both the ultimate and serviceable states of the caisson foundation obtained from the analyses are represented in terms of envelopes plotted between lateral load and overturning moment. Simplified expressions, which take into account the influence of caisson geometry, loading height, and soil properties, are also presented to serve as a preliminary base for design of the monopod caisson foundation.  相似文献   

基于网络时空核密度的交通事故多发点鉴别方法   总被引：1，自引：0，他引：1  

王颖志  王立君 《地理科学》2019,39(8):1238-1245

交通事故多发点是道路交通安全管理的重要治理对象,如何利用空间统计方法对其进行高效鉴别是研究热点。以华东某地为研究区域,以2013~2015年该研究区域的道路交通事故数据为研究对象,以时空道路网络为视角,通过路网匹配和路网裁剪形成事故时空子路段,提出一种基于交通事故场景的网络时空核密度估计值作为鉴别指标,用累计频率法和零膨胀的负二项回归模型确定鉴别阈值的事故多发点鉴别方法。  相似文献   

皋兰老虎台红砂种群在不同坡向的空间格局及关联性          下载免费PDF全文

刘旻霞  南笑宁  夏素娟  李全弟  蒋晓轩 《干旱区地理》2019,42(6):1359-1367

种群的空间格局是研究植物种群相互作用及种群与环境关系的重要方法。红砂（Reaumuria soongarica）是黄土高原半干旱区的主要物种,通过野外的群落调查,运用空间点格局分析法中的Ripley K函数,分析甘肃皋兰老虎台荒漠植被不同坡向红砂种群的空间分布格局与种内关联。结果显示：红砂种群为增长型种群,其在不同坡向的分布具有显著差异;南坡及西南坡坡向上,红砂种群Ⅰ、Ⅱ级个体在小尺度上呈显著聚集分布,随着龄级及空间尺度的增加,红砂种群聚集强度逐渐减弱,最后趋于随机分布。西坡、西北坡坡向上生长大量的蓍状亚菊（Ajania achilloides）和短花针茅（Stipa breviflora）等对红砂的生长造成抑制并加剧种间竞争,各级红砂种群的分布格局均以随机分布为主。不同坡向上,红砂种群Ⅰ、Ⅱ龄级个体之间在小尺度内表现为负关联,随着尺度增加关联度降低,Ⅲ、Ⅳ龄级与Ⅰ、Ⅱ龄级个体之间呈显著的负关联,而Ⅲ、Ⅳ龄级之间没有明显关联性,表明龄级相近的个体在空间分布上是相互独立的。综上所述,在黄土高原半干旱区,影响红砂种群分布的主要因素除了其自身的生物、生态学特性外,微生境的影响也十分重要。  相似文献   

基于加权约束的单体建筑物点云表面重建算法     

王森援  蔡国榕  王宗跃  吴云东 《地球信息科学学报》2019,21(5):654-662

建筑物点云表面重建在高精度城市测绘、虚拟现实等领域有十分广泛的应用前景。由于建筑物的几何形态多变,重建算法普遍存在计算速率慢、拟合精度低和模型结构不完整的问题。为此,本文以单体建筑物为研究对象,提出基于加权约束的单体建筑物点云表面重建算法,在表面初始化过程中充分考虑数据对结构拟合的贡献。在此基础上,构建基于正则集的单体建筑物表面重建算法,实现建筑物拟合过程中的加权拟合误差、近邻结构平滑的同步优化。针对多类建筑物三维点云的实验结果表明,相比传统的建筑物重建策略,本文的加权约束方法可根据不同类型的点云数据设计自适应权重,并选择模型拟合中最优的权重函数,在高噪声、低精度点云数据下能得到更高精度的单体建筑物表面模型。  相似文献   

基于随机森林的光子计数激光雷达点云滤波     

陈博伟  庞勇  李增元  卢昊  梁晓军 《地球信息科学学报》2019,21(6):898-906

新一代星载激光雷达卫星ICESat-2首次采用了微脉冲光子计数激光雷达技术,由于单光子探测的灵敏性导致数据在大气和地表下层产生了大量噪声,因此对光子计数激光雷达点云数据实现信号和噪声的分离是开展进一步应用研究的前提和基础。本文选择美国俄勒冈州和弗吉尼亚州2个研究区,采用MATLAS数据,根据光子点云数据的特点构造了12个光子点云特征,对所构造的特征利用随机森林进行变量筛选,用机器学习方法对光子点云进行分类,并将建立好的模型推广到整个研究区。研究结果表明,本文构建的分类器分类总精度达到了96.79%,Kappa系数为0.94,平均生产者精度和用户精度分别为97.1%和96.8%。在相对弱噪声、平坦地形区域和强噪声、复杂地形区域都取得较好的分类结果。本文结果显示了基于少量样本通过机器学习的方法构建模型,可以推广到较大范围区域的光子点云分类应用中。  相似文献   

大气负荷对新疆地区地壳形变和地面重力变化的影响     

王海涛  王斌  王伟  章传银 《大地测量与地球动力学》2019,39(2):189-194

基于ECMWF全球大气模型和中国地面气候资料日值数据集中新疆及周边的气象站气压数据,根据弹性地壳形变理论,采用移去-恢复法,利用负荷格林函数法和球谐函数法,计算新疆及周边区域2011～2015年大气负荷变化对地壳垂直、水平形变的影响,同时采用大气导纳方法计算大气变化对地面重力的影响。结果表明,大气负荷对新疆地区垂直形变的影响达到cm级,对地面重力的影响可达10μGal;大气负荷影响具有明显的季节性。  相似文献   

Detection of the end point temperature of thermal denatured protein in fish and chicken meat through SDS-PAGE electrophoresis     

GAO Hongwei）  ）*  MAO Mao）  LIANG Chengzhu）  LIN Chao）    XIANG Jianhai）） Institute of Oceanology  Chinese Academy of Sciences  Qingdao  P. R. China ） College of Food Science  Engineering  Ocean University of China  P. R. China ） Sh  ong Entry-Exit Inspection  Quarantine Bureau of P. R. China  P. R. China 《中国海洋大学学报(英文版)》2009,8(1):95-99

Sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) was applied in the detection of the end point temperature (EPT) of thermal denatured protein in fish and meat in this study. It was also used in studying the thermal denatured temperature range of proteins in salmon and chicken meat. The results show that the temperature ranges of denatured proteins were from 65 ℃ to 75 ℃ , and these temperature ranges were influenced by the processing methods. Through SDS-PAGE, the features of repeated he...  相似文献   

Fundamental study for morphodynamic modelling: Sand mounds in oscillatory flows     

P.K. Stansby  J. Huang  D.D. Apsley  M.I. García-Hermosa  A.G.L. Borthwick  P.H. Taylor  R.L. Soulsby 《Coastal Engineering》2009

Experiments on sand mounds in oscillatory flow, undertaken in controlled, large-scale laboratory conditions, have produced well-defined data sets for model comparison. Three bathymetries with different levels of submergence, including a surface-piercing case, were tested. The maximum slope was about 1:5.5. Sediment transport is due to bed load with ripple formation. The principal time-dependent bulk parameters are the vertical distance of the centre of gravity above the base and the volume of the mound. A semi-implicit finite-volume depth-averaged hydrodynamic model is used to drive morphodynamics, using van Rijn's sediment flux model generalized to take account of bed slope, and some justification is given for depth-averaged modeling in these conditions. Starting the model runs with the conditions at the end of the first cycle avoided initial atypical physical behaviour. In general good predictions were obtained with an angle of repose reduced from the standard value of about 30° for stationary beds to 15°. For these situations, morphodynamics was largely unaffected by a hydrodynamic roughness height in the range 2.5D₅₀ to 51D₅₀, with larger values accounting for ripple roughness. The reduced angle of repose may be physically expected with mobile beds but this specific value is only expected to be suited to this form of bed motion. In one case an exaggerated ripple formed near the top of the mound reducing agreement with experiment. For the submerged case with normal ripple structure excellent predictions were obtained. For the initially surface-piercing mound, the time of submergence was better predicted with a 30° angle of repose, presumably due to the prominent influence of the near stationary bed near the wet/dry interface, although long term predictions were better predicted with 15°. The occurrence of vortex shedding in the first cycle modeled was in agreement with experimental observation.  相似文献   

Adaptive Predictive Inverse Control of Offshore Jacket Platform Based on Rough Neural Network     

崔洪宇  赵德有  周平 《中国海洋工程》2009,23(2):185-198

The offshore jacket platform is a complex and time-varying nonlinear system,which can be excited of harmful vibration by external loads.It is difficult to obtain an ideal control performance for passive control methods or traditional active control methods based on accurate mathematic model.In this paper,an adaptive inverse control method is proposed on the basis of novel rough neural networks (RNN) to control the harmful vibration of the offshore jacket platform,and the offshore jacket platform model is established by dynamic stiffness matrix (DSM) method.Benefited from the nonlinear processing ability of the neural networks and data interpretation ability of the rough set theory,RNN is utilized to identify the predictive inverse model of the offshore jacket platform system.Then the identified model is used as the adaptive predictive inverse controller to control the harmful vibration caused by wave and wind loads,and to deal with the delay problem caused by signal transmission in the control process.The numerical results show that the constructed novel RNN has advantages such as clear structure,fast training speed and strong error-tolerance ability,and the proposed method based on RNN can effectively control the harmfid vibration of the offshore jacket platform.  相似文献