基于摩尔库仑准则的膨胀土弹塑性本构模型及其数值实现

膨胀土的应力应变关系与含水量的变化有关,通过室内试验对膨胀土的变形、强度以及膨胀参数与含水量之间的关系进行研究,以湿度应力场理论为基础,提出了一个具有工程实用价值的基于摩尔库仑准则的膨胀土弹塑性本构模型。依据FLAC3D数值模拟软件所提供的二次开发程序,给出了该膨胀土弹塑性本构模型二次开发程序过程的基本原理以及模型的程序框图。结合渗流软件计算的湿度场分布,进行膨胀土基坑边坡实例验算,验证了该本构模型的正确性。     

基于改进SVM分类器的动作识别方法

利用智能手机加速度传感器信号,提出一种改进的动作识别方法以降低传统动作识别方法的复杂程度,提高识别率。在特征提取时用盲选法,即用PCA(principal component analysis)进行特征值的降维和去除多维间的干扰,而所选特征没有对应的物理意义;并在分类识别中将遗传算法应用到SVM(support vector machine)分类器参数优化中。通过实验表明,该方法能够对日常的走路、站立、跑及上下楼等动作进行准确的识别。     

基于RGB线性组合模型的柑橘果实为害状识别

为了准确识别柑橘果实病虫害,提高柑橘生产信息化水平,本研究提出了最优RGB线性组合颜色模型来进行目标识别。首先在具有代表性的几幅图像中选取为害状区域与正常区域的点若干,统计这些样本点的R、G、B值及其均值,设计为害状区域与正常区域灰度差最大线性规划目标函数并求解,建立识别模型。最后利用识别模型结合阈值分割法对采集的96幅柑橘果实图像进行处理,发现识别正确率、误检率、漏检率分别81.25%,14.58%,4.17%,识别效果良好。与2R-G-B模型,G-B模型和R-B模型相比,本方法为害状区域与正常区域灰度差最大,故识别正确率最高,误检率、漏检率最低。试验结果表明：RGB线性组合模型法可用于柑橘果实病虫害的识别。     

采用块体-界面体系的砌体结构简化细观模型

基于ABAQUS装配式建模构架,提出了一种砌体结构的简化细观模型。该建模方法将块体砂浆界面及砂浆层统一采用块体间的界面来代替。界面属性包括法向和切向的力学参数,用来模拟砌体的剪压及受拉行为。界面的法向受拉采用粘性力学参数赋值,并通过与轴心受拉本构模型的等效,推导得出控制界面损伤演化速率的无量纲指数α的计算方程。剪压复合受力模型基于剪摩理论建立,通过粘性属性和库伦摩擦赋值。当剪压复合受力构件处于高轴压比时,通过块体的非线性属性实现了主压应力为主控的损伤阀值。按照该方法进行剪压相关性和砖墙剪切失效的试验仿真模拟,模拟得出的失效形态及力-位移曲线与试验结果基本相符。     

基于区间分析的框架结构不确定性损伤识别方法

考虑实际结构易受荷载、环境温度和测试噪声等不确定性因素的影响,笔者基于区间分析原理提出框架结构不确定性损伤识别方法。利用测试的结构加速度响应数据,建立向量自回归模型,并采用其系数矩阵主对角线的马氏距离作为损伤特征指标。基于粒子群算法建立区间优化求解方法,并与传统的区间组合法和区间叠加法对比。通过提出的区间重叠率指标和区间名义值分别实现损伤定位和损伤程度的识别。数值模拟和实验室框架结构试验结果表明,区间分析能在测试数据较少时实现损伤识别,为损伤识别在实际结构中的应用提供了理论基础和技术手段。     

红层泥岩桩岩接触面本构模型试验及数值模拟

桩-岩（土）接触面力学特性的研究是桩基承载机理研究的基础。通过红层泥岩桩岩接触面大型直剪试验,研究了红层泥岩桩岩接触面的力学特性,结果表明：接触面剪应力先随剪切位移增大而增大,在达到峰值后,剪应力随着剪切位移增大而降低,并最终趋于稳定值,应力应变曲线呈现出应变软化的特征。根据剪切试验结果,推导出桩岩接触面应变软化本构方程。利用fish语言对FLAC^3D中自带的理想弹塑性接触单元进行二次开发,并应用开发的模型对桩岩接触面直剪试验进行了数值模拟,分析剪应力与剪切位移之间的关系,证明了该本构能够较好地模拟接触面间的应变软化特性。     

结构消(耗)能元件芯材SN490B本构关系数值模拟

采用消(耗)能元件的结构在遭受地震作用时,元件芯材首先屈服进入塑性阶段,利用其滞回变形消耗地震输入能量,保护主体结构,元件芯材本构关系的数值模拟是对采用消(耗)能元件结构进行抗震分析与设计的基础。为更真实地模拟结构消(耗)能元件芯材在单调和循环荷载下的本构响应,更准确地对采用消(耗)能元件结构进行结构弹塑性地震响应分析,对常用作消(耗)能元件芯材的日本高延性钢材SN490B的单调、循环加载本构及循环骨架曲线进行了数值模拟,包括：采用Esmaeily-Xiao二次流塑性模型模拟材料在单调荷载作用下弹性段、屈服段、强化段和二次流塑段4个阶段;采用混合强化模型模拟材料循环荷载作用下的本构响应,运用大型通用有限元软件ABAQUS结合数值模拟参数对16种不同循环加载制度下的循环加载试验进行模拟,并与试验结果进行对比;采用Ramberg-Osgood模型、无量纲化的Ramberg-Osgood模型及两段式模型模拟循环骨架曲线。研究结果表明：所采用数学模型可以较好地模拟SN490B钢材单调、循环加载本构响应及循环骨架曲线,数值模拟与试验结果拟合较好。     

结构参数对水润滑橡胶合金轴承摩擦噪声的影响分析

为了研究水润滑橡胶合金轴承结构参数对其低速重载工况下摩擦噪声的影响,使用复模态分析方法建立了水润滑橡胶合金轴承系统仿真模型,采用专业仿真软件分析了不同摩擦系数及结构参数条件下摩擦噪声产生的概率,进而研究结构参数对摩擦噪声的影响,进行了平板型和圆弧型结构的水润滑橡胶合金轴承摩擦噪声的对比实验。研究结果表明,水润滑橡胶合金轴承的水槽半径大小、摩擦面形状以及摩擦副的摩擦系数对水润滑橡胶合金轴承的摩擦噪声有较大影响,而水槽的形状对轴承摩擦噪声的影响不大。对一定结构尺寸的水润滑橡胶合金轴承,水槽半径为4 mm、平面型摩擦面的结构可以大大减少轴承出现摩擦噪声的可能性,相关实验结果与计算结果是吻合的。     

建筑垃圾细料生产流动化回填材料的性能

以灰砂比0.03、0.05和0.08,粉砂比0、0.05、0.1、0.15和0.2为设计参数,对建筑垃圾回填材料进行设计。通过试验对回填材料的流动性(流动度、泌水率)、无侧限抗压强度以及应力应变曲线、本构关系模型和弹性模量等进行研究。研究结果表明:回填材料的流动度受水固比影响较大,两者接近线性关系;流动度在200~250 mm范围,泌水率在4%~8%之间;回填材料抗压强度与灰砂比和水固比之间存在很好的幂指数关系;回填材料应力应变曲线形状与普通混凝土的相似,在此基础上提出回填材料的本构关系模型;回填材料无侧限抗压强度与弹性模量之间存在很好的指数关系。     

Numerical implementation and applications on subloading surface model with improved overconsolidation state variable

为合理描述超固结土复杂的弹塑性力学行为,对现有Hashiguchi次加载面模型中的超固结状态参量R进行修正,在硬化方程中,考虑塑性体应变与塑性剪应变的综合作用,提出了修正超固结状态参量的次加载面模型。同时,着重介绍了该模型的隐式积分算法及数值实现过程,编制了对应的接口子程序,实现了该模型在有限元软件ABAQUS中的应用。通过不同工况和加载方式下的数值模拟验证了程序的合理性,最后应用模型研究了Fujinomori 黏土的三轴压缩力学特性并与UH模型的模拟结果、室内试验研究进行对比。结果表明,子程序具有较高的计算精度和可靠性,模型能够准确地模拟黏土的超固结特性。     

基于物候特征参数的橡胶树种植信息遥感提取研究?

为了更好地监测橡胶树的生长状态,客观准确地获取橡胶树的种植的地理位置信息,采用非对称高斯函数对海南岛内MODIS EVI时间序列数据进行滤波处理,定义作物物候特征参数并计算海南岛每个像元的特征参数值;统计分析基于MODIS EVI数据的海南岛橡胶树样区作物关键物候特征参数值变化规律;根据橡胶树样区特征参数值变化规律建立海南岛橡胶树种植信息提取算法,提取结果采用不同比例的橡胶树混合像元分类法表示。根据提取算法对海南岛2011年橡胶树种植信息进行提取,用验证数据对该提取算法进行精度检验与实用性评价,检验结果显示该算法的平均分类精度达85.97%,可以用来提取橡胶树种植信息。     

庆阳市污染天气预报思路的建立

为了提高庆阳市空气污染预报水平,利用多年环境空气质量和气象观测资料,分析各气象因子对空气污染指数API的影响,采用逐步回归的方法建立预报方程。结果表明:污染天气主要出现在冬季,其次为春季。冬季的API与除稳定度外的其余气象因子相关性较好,春、夏、秋、冬四季以及全年的API与温度、气压、降水和不稳定能量的相关性最好。建立的预报方程对夏、秋、冬三季和全年的预报效果较为准确,而对春季预报效果相对较差。实际预报中再结合具体污染源监测和相似天气分析,最终确定庆阳市本地污染天气预报的综合评估结果。本研究为庆阳市污染天气过程的预警、预测及其综合防治提供科学依据。     

A Kind of Robust Identification Algorithm Research

A new robust identification algorithm which is based on the estimation of parameter model,i.e.,Optimal Volume Ellipsoid parameter set identification algorithm is presented in this paper.It identifies not only a parameter point(the center of the ellipsoid) but also the error bounds of each parameter.It employs noise bounds in identification algorithm and dynamically modifies coefficients of identification convergent speed and direction in order to attain satisfactory perfomance.Digital simulation results show that is possesses high accuracy,dramatic convergent speed,excellent performance against noise and strong robustness as well as uniform convergent,which is obviously superior to traditional identification schemes.     

Comparative study on the identification of structural modal parameter using different methods

Chongqing Chaotianmen Yangtze River Bridge is the world's longest-span arch bridge. The node connections on its main truss’s lower chords are to bear millions of large-amplitude stress cycles caused by automobile and light-rail train loads. However, there exists no referential designing and testing experience in such detailing on long-span steel bridges at home and abroad as yet. High-cycle fatigue behavior testing on a detailing model has been conducted to study the fatigue reliability of the bridge’s critical node connections. The testing cycling load on the model is determined according to conventional specifications and the expected traffic flow on the Bridge. The 1/2-scale detailing model is carefully fabricated to simulate the node prototype and undergo the 2 million-cycle testing with the design load. Through testing, fatigue reliability of Chaotianmen Yangtze River Bridge’s main-truss lower-chord node connections during the design service life is verified. In addition, static test data are compared with those calculated by finite element analysis to prove the validity of the node model. In the end, fatigue destruction test of the model was carried out to get the fatigue failure law of the node connection and provide necessary parameters and reference for designing and monitoring of this bridge in the future.     

利用回归分析与最小二乘法对影响产奶量的因素进行校正的比较研究

摘 要：为了校正产犊月份和胎次对产奶量的影响,提高选种的准确性,本文以河北双娃奶牛场815头中国荷斯坦奶牛DHI测定结果为材料,利用回归分析和最小二乘法,制订了不同产犊月份和胎次对产奶量的校正系数。并且对两种研究方法的优劣进行了比较研究。结果表明：两种方法对305天产奶量估计值与实际测定值之间均无显著差异,但利用最小二乘法得出的第一胎305天产奶量估计值与利用回归分析法得出的估计值之间差异显著（P=0.04<0.05）,且1至4胎的最小二乘法估计值与实际测定值更为接近。     

Analysis of protein, starch and oil content of single intact kernels by near infrared reflectance spectroscopy (NIRS) in maize (Zea mays L.)

Maize samples (n = 309) containing 3090 single intact kernels from a broad variety of breeding materials were scanned by Near Infrared Reflectance Spectroscopy (NIRS) to develop non-destructive determination calibrations for crude protein, starch and oil content in kernels. Calibration equations of single kernels were developed by partial least square regression (PLS). Regression parameters between the chemical values, determined by reference methods, and the predicted values, determined by Near Infrared Reflectance Spectroscopy, were verified by cross validation and external validation. It was found that embryo position had a significant influence on the effect of calibrations. Reliable calibrations were developed for the prediction of protein and starch contents with the embryo upwards, whereas the oil content required the embryo to be downwards. The cross validation and external validation coefficients for protein were 0.91 and 0.94, for starch 0.90 and 0.89 and for oil 0.94 and 0.95, respectively. The data suggested that NIRS could be successfully used in breeding programmes, as an accurate and non-destructive tool to predict protein, starch and oil contents at the level of single kernels.     

Application of Improved Multi-population Genetic Algorithm to Damage Identification of Soil-wall System

The method of damage identification in soil-wall system was studied; a new approach based on improved multi-population genetic algorithm (IMGA) was developed. First, the simplified dynamic-detection model of soil-wall system was established, meanwhile, the theoretical analysis of characteristic equations in soil-wall system was conducted when soil in damage status. The objective function based on characteristic equations was established. Then, the improvements of multi-population genetic algorithm, including the adoption of real-valued representation, adaptive cross operator and adaptive mutation operator, were conducted. Finally, the localization and quantification of the soil-wall system damage were performed by IMGA with and without the consideration of noise, respectively. The results indicate that damage location and damage extent can be detected efficiently, and anti-noise performance is better.     

Combination Forecasting Models Using Regression Analysis Method

Using regression analysis method,the methods for solving the weights of combination forecasting model(CFM) are proposed. At first, the linear regress CFM are presented based on the least absolute criteria and least square criteria. Then the weights can be evaluated using the least square princinple. Because the objective function of CFM based on least absolute criteria is non differential, the traditional programming methods can not solve it. So the least square method with the modified weights is proposed to solve this problem. At the same time, methods for solving CFM is given with the aim of minimizing sum of percentage error absolutes. From many cases, the results show that the forecasting precision of CFM is very high and the effect of regression is remarkable.     

Least-square-based Optimization of Frequency Response Function Estimation in Modal Parameters Identification

The accuracy of modal parameters identification has the influence on the quality of dynamic characteristics analysis of mechanical structure directly. And the precision of the frequency response function estimation has the great influence on the accuracy of modal parameters identification. In the engineering the frequency response function can be estimated by the average power spectrum and cross-power spectrum with the hel Pof FFT. As the result of limited frequency resolution in the course of FFT and the noise, the accuracy of modal parameters identification is influenced by the frequency response function estimation. This paper has put forward a least-square-based optimization of frequency response function estimation in modal parameters identification. According to the optimized frequency response function, the peak value can be searched to identify the damped natural frequencies and damping ratio directly. An experiment has been made to validate the proposed method. The result indicates that the damped natural frequencies and damping ratio identified by the optimized frequency response function are closer to the true results than which without the optimized frequency response function. So the accuracy of modal parameters identification can be improved by adopting the proposed method.     

Adaptive RBF networks backstepping control of robots with filtering reducer transmission

A mathematic model for filtering reducer transmission robots which have the characteristics of parameter uncertaintiesexternal disturbancestrong couplingnonlinearities and multi-variable is establishedand then an adaptive RBF networks backstepping method is proposed to control the robot.RBF is employed to approach the nonlinear item of the filtering reducer transmission robot on lineand an adaptive RBF network controller is developed based on backstepping method which effectively suppresses the effect of parameter uncertainties and external disturbance etc.It is combined with Lyapunov stabilization analytical method to demonstrate the close loop system convergence.Simulation results verify that the proposed controller not only satisfies high performance position trackingbut also has good accuracy and robustness.