采用序列函数法在身管导热反问题中的应用

根据外壁面的温度分布推算内壁面的温度是一类不适定的导热反问题。通过研究身管内膛壁热响应特性,建立应用多个温度测点、多个未来时间步的计算模型。根据Becks序列函数法的思想,计算结构内部温度场,并取其中数点温度信息作为反问题输入条件,反演得到内膛壁热流响应。在此基础上,利用FORTRAN语言编写程序进行计算求解,由身管外壁温度随时间的变化得到管内膛壁温度随时间的变化。计算结果表明,计算值与准实验值吻合,序列函数法能够准确地计算得到管内壁不同位置温度随时间的变化。

反求铝合金淬火边界条件的序列LM梯度算法

准确获取边界条件在淬火仿真中至关重要。为此,根据瞬态热传导模型,利用正则化方法建立反求热通量的目标函数,结合序列函数指定法与LM梯度法,通过最小化目标函数推导出序列LM梯度算法,实现末端淬火实验中热通量的迭代计算。其次,通过训练观测点的平均绝对误差的“3-7-3”神经网络预测模型,建立了序列LM梯度算法关键参数的遗传算法优化方法。最后,以换热系数为边界条件建立淬火仿真模型。结果表明:在相同淬火时间内,一维序列LM梯度算法、一点法和两点法,在观测点的仿真温度平均相对误差分别为5.6%、5.9%、12.6%,17.1%、15.4%、15.3%和17.7%、16.0%、15.6%。因此,与一点法、两点法相比,序列LM梯度算法具有更高的精度。

椭圆型微分方程振动性的函数序列方法

在Ｒｎ 的一个外区域Ω上考虑二阶非线性椭圆型微分方程∑ｎｉ，ｊ＝１ｘｉＡｉｊ（ｘ，ｙ）） ｘｊｙ ＋ｐ（ｘ）ｆ（ｙ） ＝ ０ 解的振动性质（ 其中ｎ ≥２，ｐ（ｘ） 可变号） ． 借助于函数序列方法并利用基本不等式技巧，

计算外壁热响应的非线性瞬态导热反问题方法

研究组合结构外壁热响应特性,采用Beck’s序列函数法,优化算法各个环节,建立应用多个温度测点、多个未来时间步的计算模型。文章通过假设热流变化呈三角波形,计算结构内部温度场,并取其中数点温度信息作为反问题输入条件迭代反演得到外壁热流响应,得到热流误差不超过0.5%、温度误差不超过0.01%的理想结果,并得到测点数量、位置等因素对计算误差的影响。该计算方法可应用于包装结构在模拟火灾等特殊环境中的外壁热响应研究。

外壁热流响应计算的导热反问题方法及其验证

研究组合结构外壁热响应特性,根据Beck’s序列函数法的思想,优化算法各个环节,建立应用多个温度测点、多个未来时间步的计算模型。通过假设热流呈三角波形变化开展数值验证,计算结构内部温度场,并取其中数点温度信息作为反问题输入条件反演得到外壁热流响应,得到热流误差不超过0.5%、温度误差不超过0.01%的理想结果,并得到测点数量及位置等因素对计算误差的影响。该计算方法可应用于包装结构在模拟火灾等特殊环境中的外壁热响应研究。

关于两类Poisson方程的求解方法

本文用构造函数序列的方法和待定系数法获得了两类Poisson 方程的级数形式的解答。这两类 Poisson 方程对解决某些工程实际问题是非常有用的。由于所得解答是方程的通解,故它们有比较广泛的适用性。另外,本文所采用的方法是具有典型性的,最后给出若干个计算实例。

给水管网水力建模的用水模式研究

介绍了给水管网水力建模过程中用水量数据处理的技术与算法,在合理设计用水量调查方法的基础上,采用时间序列三角函数分析法去除用水量数据中的噪声信号,最后通过梯度化大大减少水力模型数据库中存入的用水数据量。

Fast method for spreading sequence estimation of DSSS signal based on maximum likelihood function

To estimate the spreading sequence of the direct sequence spread spectrum (DSSS) signal, a fast algorithm based on maximum likelihood function is proposed, and the theoretical derivation of the algorithm is provided. By simplifying the objective function of maximum likelihood estimation, the algorithm can realize sequence synchronization and sequence estimation via adaptive iteration and sliding window. Since it avoids the correlation matrix computation, the algorithm significantly reduces the storage requirement and the computation complexity. Simulations show that it is a fast convergent algorithm, and can perform well in low signal to noise ratio (SNR).

Estimation of Number Of Small Cattle Through ARIMA Models in Turkey

In this study, the number of sheep and goats in Turkey were analysed by time series analysis method, and the number of great cattle for next years predicted through the most appropriate time series model.Time series was formed using the data on the number of sheep and goats belonging to the period between 1930 and 2014 in Turkey It was determined through autocorrelation function graphic that the series weren＇t stationary at first, but they became stationary after their first difference were calculated. A stagnancy test was performed through extended Dickey-Fuller test. So as to determine the suitability of the model, it was reviewed if autocorrelation and partial autocorrelation graphs were white noise series and also the results of Box-Ljung test were reviwed. Through the ＂tested models, the model estimations, of which parameter estimates were significant and Akaike information criterion （AIC） was the smallest, were performed. The most appropriate model in terms of both the number of sheep and goats is first-level integrated moving average model stated as ARIMA（0,1,1）. In this model, it was estimated that there would be an increase in the number of sheep and goats in Turkey between the years of 2015 and 2020, however, the increase in the number of sheep would be more than the increase in the number of goats.

Relocation of the Yushu M_S7.1 earthquake and its aftershocks in 2010 from HypoDD

After the Yushu M S 7.1 earthquake on April 14,2010,a large number of aftershocks were recorded by the surrounding permanent network and temporary seismic stations.Due to the distribution of stations,knowledge about velocity structure,the reliability of seismic phases,and so on,the location result from conventional method is usually of low precision,from which it is difficult to recognize the spatial and temporal distribution and the trends of aftershock activity.In this paper,by using teleseismic waveforms recorded by permanent station,the seismic velocity structure beneath the vicinity is obtained from receiver function stacking and inversion methods.And the Yushu earthquake sequences are relocated from seismic phase data by HypoDD.The results show that the Yushu M S 7.1 earthquake occurred at 13 km depth;the aftershock sequences were distributed mainly in the NWW along the Garzê-Yushu fault,and most aftershocks were concentrated in a 100 km length and 5-20 km depth.Combined with the velocity structure,it can be inferred that the earthquake mainly destroys the high-velocity layer of the upper crust.In the west of the seismic fault near(33.3°N,96.2°E),the aftershock sequences were distributed like a straight column,suggesting there was a comminuted break from 25km depth to the ground.