方钢管混凝土框架在低周反复荷载作用下的非线性有限元分析

本文建立了方钢管混凝土框架结构的三维非线性有限元分析模型,用以研究方钢管混凝土框架在低周反复荷载作用下的抗震性能。该模型考虑了钢与混凝土的粘结滑移作用。通过与方钢管混凝土框架结构在低周反复荷载作用下试验所得的滞回曲线和刚度退化曲线的对比,发现该模型的计算结果较为精确,可以应用于方钢管混凝土框架的结构分析中。同时由试验和有限元分析计算的结果也可以得出结论,方钢管混凝土框架具有较好的抗震性能。     

高速公路沉降计算中e-lg p法修正探讨

利用已有的高速公路土工试验资料，通过大量的非线性有限元计算得出一个与路堤填筑高度及路基土体压缩系数相关的沉降综合修正式，使得单向 e-lgp 法的计算结果修正后能够考虑土体侧向变形。实例验证表明：经此式修正后的沉降值误差较小，不但比规范法更合理，而且与实测值以及有限元法结果很接近，具有一定的工程参考价值和借鉴意义。     

粒子群神经网络及其在非线性系统辨识中的应用

介绍了一种新的神经网络权值优化算法——粒子群优（Particle Swarm Optimization，PSO）算法，提出了用粒子群神经网络对非线性系统进行系统辨识的构思。仿真实验结果表明，粒子群算法具有比BP算法更强的非线性系统辨识能力和更好的泛化能力。     

基于循环注蒸气和烟气激励的海上稠油开采技术

通过实验和油藏数值模拟,研究循环注蒸气和烟气激励的加热降黏、气体溶解降黏、气体扩大加热腔与减少热损失、蒸气与气体协同增产效应等开采机理,优化注入蒸气和烟气温度、烟气蒸气体积比、周期蒸气和气体注入量等参数,建议注入蒸气与烟气的温度高于300℃,在大气压下烟气蒸气体积比为0.4～0.6.在渤海稠油油田开展4口井循环注蒸气和烟气激励开采的现场试验.结果表明,循环注蒸气和烟气激励开采后稠油井平均日产油量达到冷采的3倍以上,最高日产油量超过100m3,周期产油量达到1.0×104 m3左右.基于循环注蒸气和烟气激励的海上开采稠油技术可以提高海上稠油开采速度和采收率,有潜力成为未来海上稠油油田的主要热采开发方式.     

Optimal precursor of the transition from Kuroshio large meander to straight path

We used the conditional nonlinear optimal perturbation(CNOP) method to explore the optimal precursor of the transition from Kuroshio large meander(LM) to straight path within a barotropic inflowoutflow model,and found that large amplitudes of the optimal precursor are mainly located in the east of Kyushu,which implies that perturbations in the region are important for the transition from LM to straight path.Furthermore,we investigated the transition processes caused by the optimal precursor,and found that these processes could be divided into three stages.In the first stage,a cyclonic eddy is advected to the formation region of the Kuroshio large meander,which enhances the LM path and causes a cyclonic eddy to shed from the Kuroshio mainstream.This process causes the LM path to change into a small meander path.Subsequently,the small meander is maintained for a period because the vorticity advection is balanced by the beta effect in the second stage.In the third stage,the small meander weakens and the straight path ultimately forms.The positive vorticity advecting downstream is responsible for this process.The exploration of the optimal precursor will conduce to improve the prediction of the transition processes from LM path to straight path,and its spatial structure can be used to guide Kuroshio targeted observation studies.     

基于非线性扫描技术的可控震源地震勘探分辨率提高方法

可控震源地震扫描信号易被地下介质吸收并形成高频部分衰减,降低对地下地质体的分辨能力.分析地震信号扫描方式,研究非线性扫描信号特性及其在补偿地层吸收衰减的地震相关子波信号影像中的作用,利用正演模拟和现场试验验证非线性扫描信号在提高可控震源地震勘探地震分辨率中的作用.结果表明:非线性扫描通过控制高频能量信号的时间分配,提高激发信号的高频成分,选择合适的非线性扫描信号类型和激发能量,能够提高地震勘探分辨率.该研究结果对实现高分辨率地震勘探具有一定的参考意义.     

Impacts of climatic change on river runoff in northern Xinjiang of China over last fifty years

The characteristics of climatic change and river runoff, as well as the response of river runoff to climatic change in the northern Xinjiang are analyzed on the basis of the hydrological and meteorological data over the last 50 years by the methods of Mann-Kendall nonparametric test and the nonlinear regression model. The results show that: 1) The temperature and the precipitation increased significantly in the whole northern Xinjiang, but the precipitation displayed no obvious change, or even a decreasing trend in the northern mountainous area of the northern Xinjiang. 2) River runoff varied in different regions in the northern Xinjiang. It significantly increased in the northern slope of the Tianshan Mountains and the north of the northern Xinjiang (p=0.05), while slightly increased in the west of the northern Xinjiang. 3) North Atlantic Oscillation (NAO) affects river runoff by influencing temperature and precipita-tion. The NAO and precipitation had apparent significant correlations with the river runoff, but the temperature did not in the northern Xinjiang. Since the mid-1990s river runoff increase was mainly caused by the increasing temperature in the northern slope of the Tianshan Mountains and the north of the northern Xinjiang. Increased precipitation resulted in increased river runoff in the west of the northern Xinjiang.     

Water wave solutions obtained by variational method

Abstract Variational problem for irrotational, incompressible inviscid fluid in finite water depth is considered. Based on the variational principle, a special solution of the problem is presented under the assumption that the dispersion /u and the nonlinearity ?satisfied e = O(fj2) as the Lagrange function is expanded up to O(//). It is shown that the elevation of the free surface should be expanded to // order to ensure the Lagrange function is in fj* order. Comparison the nonlinear free surface profiles obtained from the solution with the corresponding ones obtained from linear solutions showed that the wave crest of the nonlinear wave is steepened but the trough is flattened compared to the linear wave as expected.     

基于Item2Vec负采样优化的专题地图产品个性化推荐方法研究

建立适用于专题地图产品检索的用户偏好推荐模型是提高专题地图质量的有效方式之一,在专题地图产品推荐场景中,存在严重的内容冷启动和评论数据稀疏问题,现有的推荐算法无法为特定类用户推荐不同特征的专题地图产品,导致用户从专题地图中获取偏好信息受到限制。因此,本文构建基于负采样的连续词袋模型和基于Word2Vec的Item2Vec相结合的用户偏好推荐方法,用于专题地图产品推荐。① 计算用户行为日志文件中交互行为数据的隐性评分,以代替专题地图推荐信息流场景中稀疏的用户评论数据;② 基于负采样的连续词袋模型提取目标专题地图的前后地图序列感知特征信息,通过控制正负样本比例为1:2,提升目标专题地图潜在评分的预测精度;③ 通过Item2Vec将带有用户行为特征信息的专题地图映射到向量空间,计算用户对专题地图的相似度矩阵,根据用户偏好程度完成推荐。在构建的专题地图评分实验数据集Thematic CMaps和4个公开验证数据集MovieLens上的测试结果表明:与LFM、Personal Rank、Content Based和SVD 4种传统推荐算法相比,本文所提方法可有效提高潜在评分的预测精度,推荐性能最高达到27.85%;与以霍夫曼采样方式的Item2Vec基础方法和YouTubeNet 2种神经网络推荐算法相比,评分预测精度有一定提高,且推荐性能不断提升,最高达到2.97%和5.78%。以经典算法奇异值分解（SVD）为例,将MovieLens-20M数据集切分后,在数据量不断增大的数据子集中,本文所用方法的评分预测精度和性能均优于SVD方法。     

Electrochemical corrosion behavior of hot dip coating in artificial seawater

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