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LS-DYNA 在力学教学实践中的探索与应用
牛顿摆球 模态分析 教学实践
2019/3/11
在力学教学中引入LS-DYNA有限元分析软件及其前后处理软件LS-PREPOST,进行建模、计算和演示,能够增强教学效果,加深学生对 知识点和相关问题的认识,提高教与学的效率,激发学生学习力学的热情. 以牛顿摆球实验为例说明了LS-DYNA在设计力学实验方面的 应用. 通过碰撞动画的演示和速度及能量结果曲线的展示,学生对“动量守恒”和“能量守恒”有更深刻、更形象的认识. 以桥梁上 部结构的模态分析...
贵州师范大学物理与电子科学学院近代物理学课件 等效电子LS耦合原子态的计算。
Effect of Lactobacillus plantarum LS/07 in combination with flaxseed oil on the microflora, enzymatic activity, and histological changes in the development of chemically induced precancerous growth in the rat colon
probiotic PUFA 1.2-DMH
2015/7/2
This experimental study showed the effect of L. plantarum LS/07 on the changes in total counts of coliform bacteria, enzymatic activities, cytokine and histological changes in the colonic mucosa, chem...
Post-Periastron Gamma Ray Flare from PSR~B1259-63/LS 2883 as a Result of Comptonization of the Cold Pulsar Wind
Comptonization Cold Pulsar Wind
2011/10/19
The recent detection of gamma rays with the {\it Fermi} Large Area Telescope (LAT) from the binary system PSR B1259-63/LS2883 provides unique information about the pulsar wind. Although the nature of ...
Abstract: In this paper we prove that the inductive cocategory of a nilpotent $CW$-complex of finite type $X$, $\indcocat X$, is bounded above by an expression involving the inductive cocategory of th...
针对近红外光谱易受样品温度的影响，论文采用多尺度小波变换对光谱数据进行消噪，运用最小二乘支持向量机（LS-SVM）在全谱范围内建立了近红外光谱预测模型，研究土壤温度对土壤含水率预测结果的影响，提出了应用多波长和LS-SVM回归法补偿土壤温度对土壤含水率预测精度的影响。试验结果表明，土壤温度影响近红外光谱预测土壤含水率，模型预测精度降低；采用多尺度小波消噪并提取特征光谱，运用特征光谱和LS-SVM法...
Modeling TeV gamma-rays from LS 5039: An active OB star at the extreme
High Energy Astrophysical Phenomena (astro-ph.HE) Solar and Stellar Astrophysics (astro-ph.SR)
2010/12/23
Perhaps the most extreme examples of "Active OB stars" are the subset of high-mass X-ray binaries -- consisting of an OB star plus compact companion -- that have recently been observed by Fermi and gr...
基于LS-SVM的热处理炉钢板温度预报模型
最小二乘支持向量机 混合核函数 预报模型
2014/4/9
根据中厚板热处理炉钢板温度控制的工艺特点,建立了一种基于混合核函数最小二乘支持向量机(LS-SVM)的热处理炉钢板温度预报模型,并给出相应的建模步骤。通过LS-SVM模型拟合输入与输出之间的复杂非线性函数关系,以现场生产工艺数据为训练样本对模型进行学习,再选取测试数据样本对模型进行仿真检验。将模型应用于计算热处理炉钢板温度的数学模型中,仿真结果显示,所建立的模型简单,预报能力强,具有广泛的应用前景...
Temperature variability and trends in the UT-LS over a subtropical site: Reunion (20.8° S, 55.5° E)
Temperature variability and trends the UT-LS a subtropical site Reunion (20.8° S, 55.5° E)
2010/9/21
This paper mainly focuses on the trends and variability of the UT-LS temperature using radiosonde observations carried out over 16 years (January 1993 to December 2008) from a southern subtropical sit...
Aerosols in the tropical and subtropical UT/LS: in-situ measurements of submicron particle abundance and volatility
Aerosols the tropical and subtropical UT/LS submicron particle abundance and volatility
2010/8/13
Processes occurring in the tropical upper troposphere (UT), the Tropical Transition Layer (TTL), and the lower stratosphere (LS) are of importance for the global climate, for stratospheric dynamics an...
应用LS-SVM的飞机重着陆诊断
重着陆 诊断模型 支持向量机 参数优化
2010/9/1
为提高飞机重着陆判断的准确性,研究了将最小二乘支持向量机(Least square support vector machine,LS-SVM)应用于民航飞机重着陆诊断的方法. 首先,通过分析飞机着陆阶段的运动方程,确定了造成飞机重着陆的主要影响因素,将传统的单一指标诊断扩展到多指标诊断. 然后,利用最小二乘支持向量机建立飞机重着陆诊断模型,采用遗传算法优化模型参数.训练和测试样本取自航空公司飞行...
基于平衡损失的思想,对一般线性模型提出了一种全面地度量估计优良性的标准,给出了在此标准下回归系数的平衡广义最小二乘估计,并讨论了其优良性.得到了该估计为无偏估计的充分必要条件,以及在一定条件下,在均方误差损失的准则下平衡广义最小二乘估计优于最佳线性无偏估计的充分必要条件.
对标准的LS-SVM算法进行了改进,得到一种新的学习算法.这种新的学习算法不仅能减少计算的复杂性,提高学习速度;同时能提高函数估计的精确度.将改进的LS-SVM算法应用于交通流量的预测,同时与传统的多元线性回归及支持向量机方法进行比较,结果表明改进的LS-SVM方法具有较高的预测精度,且实验取得了较好效果.
Long-term changes in UT/LS ozone between the late 1970s and the 1990s deduced from the GASP and MOZAIC aircraft programs and from ozonesondes
UT/LS ozone GASP MOZAIC aircraft programs ozonesondes
2009/8/7
We present ozone measurements of the Global Atmospheric Sampling Program (GASP) performed from four commercial and one research aircraft in the late 1970s to compare them with respective measurements ...
Optical Line Profile Variability of the B1+Neutron Star Binary System LS I+65010 (2S 0114+650)
B1+Neutron Star Binary System LS I+65010 Line Profile
2009/6/16
Optical Line Profile Variability of the B1+Neutron Star Binary System LS I+65010 (2S 0114+650)。