巨型钢框架复合支撑体系拉索直径确定方法

拉索直径的确定是巨型钢框架预应力复合支撑体系的关键问题之一。通过分析水平荷载下预应力复合支撑的力学机理,找出了拉索直径的决定因素,基于此提出其取值准则,并通过理论推导最终建立拉索直径的确定方法,进一步通过基于工程实际的数值算例进行了验证。反对称荷载下的不平衡,只能采用反对称手段调平,巨型钢框架预应力复合支撑体系拉索直径由水平荷载决定,以复合支撑内力平衡为取值准则。建立的影响系数迭代调平方法确定拉索直径能够考虑上下层之间的相互影响,具有良好的精度和可操作性。

石嘴山市浅层地下水的环境背景值

根据水文地质条件将研究区划分为单一潜水区和多层结构区两个地下水环境背景值单元,以石嘴山市大武口区和惠农区1997年和2008年的浅层地下水水质分析数据为依据,主要采用迭代标准差法和计算分布函数法对两个背景值单元内的15项指标进行了背景值范围的计算.在此基础上比较分析了研究区背景值的时空分异特征,结果表明,气象、水文、人类活动等变化较大的因素会使地下水的化学组分随时间呈现出一定的变化,即地下水环境背景值的时间差异性;而地形地貌、含水层岩性、地下水径流条件的差异是影响不同地下水环境背景值单元内相同指标背景值差异的主要因素,即背景值具有空间差异性.对地下水环境背景值进行水质评价,结果表明,2008年较1997年,地下水质量变差.

A New Method Combining Interior and Exterior Approaches for Linear Programming

In this paper we present a new method combining interior and exterior approaches to solve linear programming problems. With the assumption that a feasible interior solution to the input system is known, this algorithm uses it and appropriate constraints of the system to construct a sequence of the so called station cones whose vertices tend very fast to the solution to be found. The computational experiments show that the number of iterations of the new algorithm is significantly smaller than that of the second phase of the simplex method. Additionally, when the number of variables and constraints of the problem increase, the number of iterations of the new algorithm increase in a slower manner than that of the simplex method.

Solitary Wave and Wavelet

In this paper,it is shown that the homoclinic orbits exist in iterated functional systems.so do the solitary wave structures.Moreover,Harr father wavelet,Mexican Cap wavelet,and other closed form wavelets have this solitary wave structure,too So wavelet is a certain kind of solitary wave.

Distance-Stability of Nonlinear Discrete Systems

In this paper,the distance-sability of nonlinear discrete system is investigated by means of the Gauss-Seidel iteration method.Some algebric criteria of the distance-stability are ob-tained.Construction of Lyapunov function is avoided.

Iterative Methods for Parametric Linear Systems with Linear Functions

This paper mainly proposes a new C-XSC （C- for eXtended Scientific Computing） software for the symmetric single step method and relaxation method for computing an enclosure for the solution set and compares the methods with others＇ and then makes some modifications and finally, examples illustrating the applicability of the proposed methods are given.

Non-iterative parameter estimation of the 2R-1C model suitable for low-cost embedded hardware

Parameter estimation of the 2 R-1 C model is usually performed using iterative methods that require high-performance processing units.Consequently,there is a strong motivation to develop less time-consuming and more power-efficient parameter estimation methods.Such low-complexity algorithms would be suitable for implementation in portable microcontroller-based devices.In this study,we propose the quadratic interpolation non-iterative parameter estimation(QINIPE)method,based on quadratic interpolation of the imaginary part of the measured impedance,which enables more accurate estimation of the characteristic frequency.The 2 R-1 C model parameters are subsequently calculated from the real and imaginary parts of the measured impedance using a set of closed-form expressions.Comparative analysis conducted on the impedance data of the 2 R-1 C model obtained in both simulation and measurements shows that the proposed QINIPE method reduces the number of required measurement points by 80%in comparison with our previously reported non-iterative parameter estimation(NIPE)method,while keeping the relative estimation error to less than 1%for all estimated parameters.Both non-iterative methods are implemented on a microcontroller-based device;the estimation accuracy,RAM,flash memory usage,and execution time are monitored.Experiments show that the QINIPE method slightly increases the execution time by 0.576 ms(about 6.7%),and requires 24%(1.2 KB)more flash memory and just 2.4%(32 bytes)more RAM in comparison to the NIPE method.However,the impedance root mean square errors(RMSEs)of the QINIPE method are decreased to 42.8%(for the real part)and 64.5%(for the imaginary part)of the corresponding RMSEs obtained using the NIPE method.Moreover,we compared the QINIPE and the complex nonlinear least squares(CNLS)estimation of the 2 R-1 C model parameters.The results obtained show that although the estimation accuracy of the QINIPE is somewhat lower than the estimation accuracy of the CNLS,it is still satisfactory for many practical purposes and its execution time reduces to1/45–1/30.