Developing constitutive models from EPR‐based self‐learning finite element analysis

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.     

Genetic Relationships Among One Non-Endemic and Two Endemic Mediterranean Triplefin Blennies (Pisces, Blennioidei)

Abstract. Three triplefin blennies occur sympatrically in the Mediterranean Sea; Tripterygion tripteronotus and T. melanurus are endemic, whereas T. delaisi is also found in the Eastern Atlantic. Although very similar in morphology, ecology and behaviour, some striking differences exist among reproductive strategies. Several authors proposed hypotheses on the evolution of these species. In order to enhance insight into the genetic structure of this genus, an enzyme electrophoretic survey was performed. Samples of 40 to 45 specimens of each species were collected near Calvi (Corsica, France). Twenty-four enzyme loci were analysed, of which 17 appeared polymorphic. T. delaisi showed a high level of average observed heterozygosity (H_o) of 0.140, as opposed to very low levels of 0.009 and 0.021 in T. tripteronotus and T. melanurus , respectively. Nei's genetic distance was 0.21 between T. delaisi and T. tripteronotus , 0.35 between T. delaisi and T. melanurus and 0.45 between T. tripteronotus and T. melanurus . We hypothesise that divergence of these species started before the Pleistocene and that the endemic species survived the Pleistocene glaciations in refugia within the Mediterranean. The possibility that T. tripteronotus and T. delaisi diverged through sympatric speciation is discussed.     

内蒙古苏里格庙地区晚古生代层序地层学研究

通过岩心观察 ,结合测井曲线和地震反射资料分析 ,并根据层序地层和层序界面的识别标志 ,建立了苏里格庙地区的层序地层格架 ,并将上古生界划分为 3个二级层序 (超层序组 )和 15个三级层序 ,其中本溪组和太原组的层序具二元体系域结构 ,即由海进体系域和高位体系域组成 ;山西组、石盒子组和石千峰组的层序具三元体系域结构 ,包括低位体系域、湖进体系域和高位体系域。剖析了陆表海浅陷沉积、陆表海碳酸盐岩与碎屑岩混合沉积及近岸内陆河流—三角洲—湖泊沉积超层序组 (或层序组 )中层序的发育特征 ,论述了层序的演化过程。     

腾冲热海火山地热区近期水热爆炸的阶段性演化特征

水热爆炸是活动性地热田的典型显示。腾冲热海火山地热区历史上曾发生过强烈的水热爆炸活动，但前期一度沉寂。1993年以来水热爆炸活动再度活跃。在过去十年间，研究区内发生过较大的爆炸喷发事件20余次，且规模越来越大。本文根据对爆炸形成泉点的选出气体化学和氦同位素组成的测试结果，研究了区内近期水热爆炸活动的演化特征。逸出气体化学和氦同位素组成特征指示，区内近期引发水热爆炸活动的气体源区有从浅层、中层向深层发展的趋势；作者认为，区内未来可能发生更大规模的爆炸活动，其危险性应引起高度关注。     

Slope stability analysis using evolutionary optimization techniques

Slope stability optimization, in the presence of a band of a weak layer between two strong layers, is accounted for in complicated geotechnical problems. Classical optimization algorithms are not suitable for solving such problems as they need a proper preliminary solution to converge to a valid result. Therefore, it is necessary to find a proper algorithm which is capable of finding the best global solution. Recently a lot of metaheuristic algorithms have been proposed which are able to evade local minima effectively. In this study four evolutionary algorithms, including well‐known and recent ones, such as genetic algorithm, differential evolution, evolutionary strategy and biogeography‐based optimization (BBO), are applied in slope stability analysis and their efficiencies are explored by three benchmark case studies. Result show BBO is the most efficient among these evolutionary algorithms and other proposed algorithms applied to this problem. Copyright © 2016 John Wiley & Sons, Ltd.     

大连地区更新世的哺乳动物

大连地区碳酸盐岩分布广泛 ,裂隙溶洞发育 ,洞穴堆积物中蕴含了丰富的更新世哺乳动物化石和古文化遗物 ,在境内陆地和附近海域陆续发现了 30余处化石点。在众多的化石点中尤以古龙山遗址和大连动物群最引人注目 ,前者在同一地点内采集到 377种上万件的脊椎动物骨骼化石 ,并伴有石器、骨器、灰烬等远古人类活动的遗物 ;后者包括了 2 8种早更新世的小型哺乳动物 ,这是大连乃至东北地区的首次报导。这些事实说明了东北地区不只是仅有晚更新世的动物群 ,至少还有早更新世的大连动物群 ,即使在晚更新世 ,也不只是单一的披毛犀 -猛犸象动物群 ,还存在着具有从华北向东北过渡性质的古龙山动物群。今后工作中应注意寻找古人类及中更新世的哺乳动物化石 ,加强对全新世动物遗骨的研究。     

全球手机贸易网络演化特征研究

基于复杂网络方法,运用Pajek、Ucinet、Gephi等软件,构建全球手机产业贸易网络,探究2001-2016年全球手机产业贸易网络结构及其演化过程。根据研究发现全球手机贸易网络呈现稠密化发展趋势,网络整体遵循“核心-边缘”的圈层结构,结构内部不断演化和重组;全球手机贸易网络呈现由双核主导向多核演变,空间格局上形成由欧美日发达国家向东亚发展中国家的转移趋势;全球手机贸易网络的四大子群网络板块特征明显,且随着时间的发展而发生变化。     

改进分数阶达尔文粒子群的多Renyi熵图像分割算法

针对智能优化图像分割算法易陷入局部最优、分割精度不高等问题,本文融合改进的分数阶达尔文粒子群算法和二维Renyi熵多阈值,提出了一种新的多阈值遥感图像分割算法。算法利用粒子自身进化信息来定义进化因子,结合进化因子并利用高斯图函数调整分数阶次a系数以实现精确计算和快速收敛;根据局部最优概率因子对局部最优位置进行Levy飞行随机扰动以提高算法跳出局部最优的能力;同时将二维Renyi熵单阈值扩展到多阈值分割上,并结合改进的分数阶达尔文粒子群算法,将二维Renyi熵多阈值应用于遥感图像分割中仿真结果表明,与其他2种智能优化分割算法相比,本文分割算法在细节处理和分割精度上均有明显优势,在PRI上至少提升7.27%、VOI至少降低6.5%、GCE至少降低10.4%.     

中国产业发展与布局的关联法则

产业地理学研究产业空间分布及其动态演化规律。基于地理邻近性的集聚理论揭示了产业地理不平衡分布的内在机制。演化经济地理学借鉴演化经济学的历史视角,从历史角度考察经济活动空间分布的渐进演化机制,认为地理邻近性不是产业地理格局演化的充分必要条件,以认知邻近性为核心的多维邻近性能够提供更好的解释。本文从认知邻近视角系统地分析了中国区域产业发展与布局动态演化规律,总结出中国产业发展与布局的“关联法则”,即一个企业或区域进入（或退出）某项经济活动的概率是该企业或地区拥有的基于相关知识基础的经济活动的函数。本文全面地回顾了关联法则涉及的关键概念,梳理企业和区域尺度的实证研究成果,讨论关联法则在中国的适用性及其补充和拓展。本文指出：① 在认知邻近视角下,基于资源转换和组织学习等理论基础,关联法则研究了企业或区域发展新产业与现有产业之间的关系。② 关联法则不仅适用于中国企业和区域尺度,还会影响区域经济发展、创新和韧性等。③ 外部联系、冲击以及内部制度环境等可能会降低区域产业动态对本地产业基础的依赖性。关联法则指出中国区域需培育内生发展模式,围绕现有区域能力、技术和知识积累发展区域产业和实现区际产业优化布局与分工,逐步建立相关多样化的产业体系,增强区域韧性,支撑国内经济循环。