Developing constitutive models from EPR‐based self‐learning finite element analysis          下载免费PDF全文

Ali Nassr  Akbar Javadi  Asaad Faramarzi 《国际地质力学数值与分析法杂志》2018,42(3):401-417

A constitutive model that captures the material behavior under a wide range of loading conditions is essential for simulating complex boundary value problems. In recent years, some attempts have been made to develop constitutive models for finite element analysis using self‐learning simulation (SelfSim). Self‐learning simulation is an inverse analysis technique that extracts material behavior from some boundary measurements (eg, load and displacement). In the heart of the self‐learning framework is a neural network which is used to train and develop a constitutive model that represents the material behavior. It is generally known that neural networks suffer from a number of drawbacks. This paper utilizes evolutionary polynomial regression (EPR) in the framework of SelfSim within an automation process which is coded in Matlab environment. EPR is a hybrid data mining technique that uses a combination of a genetic algorithm and the least square method to search for mathematical equations to represent the behavior of a system. Two strategies of material modeling have been considered in the SelfSim‐based finite element analysis. These include a total stress‐strain strategy applied to analysis of a truss structure using synthetic measurement data and an incremental stress‐strain strategy applied to simulation of triaxial tests using experimental data. The results show that effective and accurate constitutive models can be developed from the proposed EPR‐based self‐learning finite element method. The EPR‐based self‐learning FEM can provide accurate predictions to engineering problems. The main advantages of using EPR over neural network are highlighted.  相似文献   

一套具有更高时空分辨率的全球海洋叶绿素浓度遥感融合产品数据集     

肖艳芳  张杰  崔廷伟  孙凌 《海洋学报(英文版)》2018,37(7):118-130

认识海洋在全球碳循环中的作用及其对环境变化的响应，需要高时空分辨率的观测数据。由于轨道宽度、云雨天气、太阳耀斑等的影响，单一的水色传感器的观测能力十分有限，将多源海洋水色卫星进行融合是提高水色数据时空覆盖的一种有效途径。SeaWiFS和MERIS分别于2010年12月11日和2012年5月9日停止运行，在很大程度上降低了水色融合产品时空覆盖的提升。我们在融合过程中加入了FY-3 MERSI数据，生成了全球海洋叶绿素浓度遥感融合产品数据集。数据源包括SeaWiFS、MERIS、MODIS-Aqua、VIIRS和MERSI。结果表明：加入MERSI后，融合产品的日平均有效空间覆盖提高了9%；采样频率（同一区域一年中获取有效数据的次数）由57天/年提高到109天/年。利用实测数据和国外同类融合产品（ESA GlobColour和NASA MEaSUREs）对新的数据集进行了质量评价。与实测数据相比，加入MERSI的融合产品精度与未加入MERSI的融合产品基本一致；与国外同类融合产品的偏差小于10%。新数据集的时间序列特性与未加入MERSI的融合产品以及单传感器的一致。  相似文献   

结合POI数据的道路自动选取方法     

徐智邦  王中辉  闫浩文  武芳  段晓旗  孙立 《地球信息科学学报》2018,20(2):159-166

人们对道路重要性的认知与道路周边设施有重要关系,针对现有地图综合道路选取方法中对语义特征考虑不足的问题,将POI数据引入到道路的语义特征分析中,提出一种综合考虑道路空间特征和语义特征的道路综合自动选取方法。首先,结合POI位置数据构造了道路语义特征度量的3个新参量：设施点密度、重要设施比率和专题设施比率;然后,与道路长度、连接值、总深度值、平均线密度等反映道路几何、拓扑和分布特征的度量参量一起,通过归一化和熵值法赋权进行整合计算,得到道路重要性值;最后,综合考虑道路重要性值、道路stroke构成和stroke连通度的约束条件进行道路的分步选取。实验结果表明,该方法在保留主要道路、保持道路分布疏密特征和道路连通性的同时,较好地顾及了道路的语义特征信息。  相似文献   

点模式条件下的犯罪嫌疑人时空同现模式挖掘与分析     

李智  李卫红 《地球信息科学学报》2018,20(6):827-836

现有时空同现模式挖掘方法因其在空间和时间频繁阈值等参数值的设定上存在困难且缺乏客观依据的问题而难以被应用到犯罪地理研究中。为此,本文通过引入时空状态同现模式和最小时空参与率等概念对现有挖掘方法进行了重新建模,并结合广义Grubbs异常值检验提出了一种点模式分布下的犯罪嫌疑人时空同现模式挖掘框架。基于该框架对中国某省部分犯罪嫌疑人的真实移动轨迹数据的实验分析结果表明,本文所提出的方法能够有效地挖掘出嫌疑人间显著的时空同现模式,且这些模式的时空分布特征不仅与犯罪活动易发生在非农业生产区这一共识基本相符,还与日常活动理论的基本观点相适应。本文拓展了时空同现模式挖掘在犯罪地理研究中的应用,研究成果对公安机关等执法部门在重点监控某些犯罪嫌疑人以及合理分配和部署警力资源方面具有重要意义。  相似文献   

Impacts of alien ‘ecosystem engineers’ overwhelm interannual and seasonal shifts in rocky-shore community composition on Marcus Island,South Africa     

S Sadchatheeswaran  GM Branch  CL Moloney 《African Journal of Marine Science》2018,40(2):137-147

The South African coastline has been invaded by numerous alien species. Rare pre-invasion (1980) and post-invasion datasets (2001 and 2012) exist for Marcus Island, a small land-tied island in Saldanha Bay, South Africa. These snapshot datasets of the island’s intertidal invertebrate community were complemented with monitoring across seasons, from 2014 to 2016. Invertebrate communities were compared among the summers of 1980, 2001, 2012, 2014, 2015 and 2016 to assess interannual differences, while invertebrates and algae were monitored quarter-annually to assess seasonal changes. In addition, the population dynamics of the alien mussel Mytilus galloprovincialis were monitored. Differences in invertebrate communities between consecutive summers were significant but much smaller than changes induced by the arrival of alien species. Invertebrate and seaweed communities differed among years and shore zones but not among seasons, whereas species diversity differed among years, seasons and shore zones, with zones having the strongest influence. The invasion by M. galloprovincialis, and ensuing spatial and temporal variability in its recruitment, emerged as the most important factor influencing community composition, overshadowing interannual and seasonal changes. This work highlights that the impacts of alien species can be distinguished from natural variability by combining long-term monitoring with surveys at finer temporal scales. This is an important step in extending our understanding of the impacts of marine alien species.  相似文献   

基于云存储技术的海岛信息管理和 展示平台设计与实现     

孙超  汪愿愿  潘增弟  孙亚伟 《海洋通报》2019,38(2):233-240

随着海岛遥感影像数据的不断积累,传统数据存储管理方法越来越难以满足需求。针对上述问题,利用云存储技术对海岛影像数据进行分块组织,建立分布式海岛影像数据集,并在优化数据存储的同时,设计了一套海岛信息多形式展示平台。实现了信息检索、数据传输与审核、分析评价、成果展示和共享等功能。  相似文献   

鄂尔多斯盆地南缘黄陵地区煤铀兼探钻孔数据集成与三维地质模型构建          下载免费PDF全文

张云  张天福  孙立新  程银行  张祺  王少轶  程先钰  周小希 《中国地质》2020,47(S1):231-240

鄂尔多斯盆地南缘黄陵地区铀成矿前景良好。中国地质调查局在该地区组织实施了含铀岩系三维地质调查工作，以寻找可地浸砂岩型铀矿找矿靶区为目标，采用“煤铀兼探”、“油铀兼探”的新思路，对煤田钻孔资料进行“二次开发利用”，开展勘查选区研究，完成了354口煤田钻孔（其中筛选出潜在砂岩型铀矿（化）孔49口）和21口铀矿验证钻孔（其中工业矿（化）孔16口）的数据采集建库，在此基础上建立了专题成果图集及三维地质模型。该数据库主要由含铀岩系地层厚度等值线图、砂体厚度等值线图、顶底板埋深等值线图、含砂率等值线图、放射性异常等值线图等专题成果图集和三维地质结构模型组成，为铀矿勘探开发提供了有利支撑和服务作用。  相似文献   

基于两种无人机航拍影像的林窗和林冠提取分析     

王悦  练琚愉  张昭臣  胡健波  杨骥  李勇  叶万辉 《热带地理》2019,39(4):553-561

森林冠层和林窗的结构及其时空变化是理解森林生态系统格局、动态变化过程的重要基础。在当前生物多样性监测倍受关注的契机下，如何以合适的手段准确描述林窗面积、分布等特征，并与森林固定样地监测数据有效地结合，更好地回答群落构建的理论问题，使森林群落物种多样性维持机制得到更全面的认识，是目前亟待解决的问题。以鼎湖山南亚热带常绿阔叶林20 hm2固定监测样地为研究对象，基于不同遥感影像提取方法对其林窗和林冠表层数据进行提取分析。结果表明：基于监督分类的提取方法适合RGB波段航片林窗的提取，在林窗分类中，应首先确定林窗高度、边界木与最小面积，不同分类方法差异主要表现在林冠分类中，林窗分类生产者精度和用户精度表现都较为一致。无人机航拍识别率受地形因素影响较大，在地形复杂林地应按坡度分区域进行飞行以降低误差。相对于地面调查，MD4-1000无人机航片的林窗识别率为98.7%；大疆Phantom4无人机航片的林窗识别率为72.3%，影像后期处理数据量小，同样适用于森林林窗定量研究，符合生态学、林业等从业人员对大型样地林窗长期监测的要求。无人机航拍南亚热带森林物种识别难度较大，基于MD4-1000无人机搭载的高分辨率相机，在地势平缓区域优选的4 hm2样地中可识别林冠表层物种数17种，共2 706个个体。搭载高分辨率无人机在降低飞行高度的基础上可进行部分物种识别。应用无人机近地面遥感对森林固定样地进行林冠监测，可为后期群落构建研究提供数据基础，有望从新的研究角度探讨森林群落物种多样性维持机制。  相似文献   

Turbulence Diffusion and Energy Spectrum Analysis of Large-scale Current Sheets in Flares     

《Chinese Astronomy and Astrophysics》2021,45(4):470-493

Magnetic reconnection (MR) is one of the most important physical processes for many dynamical phenomena in the universe. Magnetohydrodynamical (MHD) simulation is an effective way to study the MR process and the physical pictures related to the MR. With different parameter setups, we investigate the influences of the Magnetic Reynolds number and spatial resolution on the reconnection rate, numerical dissipation, and energy spectrum distribution in the MHD simulation. We have found that the magnetic Reynolds number $R_m$ has definite impact on the reconnection rate and energy spectrum distribution. The characteristic time for entering into the non-linear phase will be earlier as the Reynolds number increases. When it comes to the tearing phase, the reconnection rate will increase rapidly. On the other hand, the magnetic Reynolds number affects significantly the Kolmogorov microscopic scale $l_{\mathit{ko}}$, which becomes smaller as $R_m$ increases. An extra dissipation is defined as the combined effect of the numerical diffusion and turbulence dissipation. It is shown that the extra dissipation is dominated by the numerical diffusion before the tearing mode instability takes place. After the instability develops, the extra dissipation rises vastly, which indicates that turbulence caused by the instability can enhance the diffusion obviously. Furthermore, the energy spectrum analysis indicates that $l_{\mathit{ko}}$ of the large-scale current sheet may appear at a macroscopic MHD scale very possibly.  相似文献   

基于灯光数据的京津冀城市多标度异速分析     

龙玉清  陈彦光 《地理科学进展》2019,38(1):88-100

城镇体系的时空演化是一个复杂的动力学过程,具有无尺度性,其特征可以采用异速标度指数定量描述。论文以京津冀为例,基于1992—2013年夜间灯光数据的校正结果,提取城镇夜间灯光信息,采用多标度异速分析方法,分析京津冀城镇体系的相对发展特征及其空间分异格局。研究发现：①京津冀大城市的增长空间局限日益显著。虽然大城市如京津唐的绝对发展水平高,但接近环境承载量的极限,22 a间增长快速的是大城市交接地带的小城市(如三河、迁安、廊坊等)。②相对增长速度快的城市从东北到西南呈现带状分布——政府选择发展的“雄安新区”就在这个轴带上。由此可以得出两个结论：其一,京津冀城市演化的趋势相对均衡化,空间结构异质性逐步减弱,整个城镇体系的发展趋于相对平衡状态;其二,大、小城市“两极”贯通或许是增强城镇体系功能的有效途径。京津冀的空间格局优化不能仅仅考虑主要的、规模大的中心城市,而应该基于等级结构协调整个城镇网络体系。  相似文献