基于Chebyshev多项式和区间重叠率的对接圆柱壳结构区间模型修正

采用基于Chebyshev多项式和区间重叠率的区间模型修正方法对对接圆柱壳结构进行了模型修正研究.首先,通过模态试验获取了结构固有频率,运用核密度估计法得到了固有频率的区间范围;然后,采用薄层单元法模拟螺栓连接部件,建立了对接圆柱壳结构的有限元模型,分析了结构的模态特性;之后,采用确定性模型修正方法修正了圆柱壳和法兰的材料参数;最后,选择基于Chebyshev多项式和区间重叠率的区间模型修正方法对薄层单元中的不确定性参数进行了修正.研究结果表明:修正后参数区间上界和下界的误差满足工程精度要求,修正后输出空间与试验输出空间吻合良好,验证了所用区间模型修正方法的可行性和有效性.

分数次Chebyshev小波结合SA算法求解分数阶微分方程数值解

为了求解分数阶微分方程,提出了一种结合分数次第二类Chebyshev小波(FOCWs)配置法与模拟退火(SA)算法的有效数值方法。首先,构造了分数次的第二类Chebyshev小波函数,利用正则化的Beta函数,推导了分数次Chebyshev小波函数在Riemann-Liouville分数阶积分定义下的积分计算公式。其次,利用分数次小波函数及积分公式并结合配置法,将分数阶微分方程转化为线性或非线性代数方程,给出了算法的误差估计。由于分数次小波函数中涉及分数次参数α,解的结果依赖于参数α的选择,考虑使用SA算法寻找最优参数。最后,通过数值算例验证了该方法的可行性和有效性。

Klein-Gordon方程混合问题的Chebyshev谱配置方法

针对有界域上的非线性Klein-Gordon方程,构造了时空全离散的Chebyshev谱配置格式,也就是在空间和时间方向上均以Chebyshev-Gauss-Lobatto节点作为配置点,将其转化为非线性方程组,利用不动点迭代方法来进行求解。数值实验结果表明了该方法的有效性和谱精度。

Evolutionary Safe Padé Approximation Scheme for Dynamical Study of Nonlinear Cervical Human Papilloma Virus Infection Model

This study proposes a structure-preserving evolutionary framework to find a semi-analytical approximate solution for a nonlinear cervical cancer epidemic(CCE)model.The underlying CCE model lacks a closed-form exact solution.Numerical solutions obtained through traditional finite difference schemes do not ensure the preservation of the model’s necessary properties,such as positivity,boundedness,and feasibility.Therefore,the development of structure-preserving semi-analytical approaches is always necessary.This research introduces an intelligently supervised computational paradigm to solve the underlying CCE model’s physical properties by formulating an equivalent unconstrained optimization problem.Singularity-free safe Padérational functions approximate the mathematical shape of state variables,while the model’s physical requirements are treated as problem constraints.The primary model of the governing differential equations is imposed to minimize the error between approximate solutions.An evolutionary algorithm,the Genetic Algorithm with Multi-Parent Crossover(GA-MPC),executes the optimization task.The resulting method is the Evolutionary Safe PadéApproximation(ESPA)scheme.The proof of unconditional convergence of the ESPA scheme on the CCE model is supported by numerical simulations.The performance of the ESPA scheme on the CCE model is thoroughly investigated by considering various orders of non-singular Padéapproximants.

Determining Hubbard U of VO_(2) by the quasi-harmonic approximation

Vanadium dioxide VO_(2) is a strongly correlated material that undergoes a metal-to-insulator transition around 340 K.In order to describe the electron correlation effects in VO_(2), the DFT+U method is commonly employed in calculations.However, the choice of the Hubbard U parameter has been a subject of debate and its value has been reported over a wide range. In this paper, taking focus on the phase transition behavior of VO_(2), the Hubbard U parameter for vanadium oxide is determined by using the quasi-harmonic approximation(QHA). First-principles calculations demonstrate that the phase transition temperature can be modulated by varying the U values. The phase transition temperature can be well reproduced by the calculations using the Perdew–Burke–Ernzerhof functional combined with the U parameter of 1.5eV. Additionally,the calculated band structure, insulating or metallic properties, and phonon dispersion with this U value are in line with experimental observations. By employing the QHA to determine the Hubbard U parameter, this study provides valuable insights into the phase transition behavior of VO_(2). The findings highlight the importance of electron correlation effects in accurately describing the properties of this material. The agreement between the calculated results and experimental observations further validates the chosen U value and supports the use of the DFT+U method in studying VO_(2).

Saddlepoint Approximation Method in Reliability Analysis:A Review

The escalating need for reliability analysis(RA)and reliability-based design optimization(RBDO)within engineering challenges has prompted the advancement of saddlepoint approximationmethods(SAM)tailored for such problems.This article offers a detailed overview of the general SAM and summarizes the method characteristics first.Subsequently,recent enhancements in the SAM theoretical framework are assessed.Notably,the mean value first-order saddlepoint approximation(MVFOSA)bears resemblance to the conceptual framework of the mean value second-order saddlepoint approximation(MVSOSA);the latter serves as an auxiliary approach to the former.Their distinction is rooted in the varying expansion orders of the performance function as implemented through the Taylor method.Both the saddlepoint approximation and third-moment(SATM)and saddlepoint approximation and fourth-moment(SAFM)strategies model the cumulant generating function(CGF)by leveraging the initial random moments of the function.Although their optimal application domains diverge,each method consistently ensures superior relative precision,enhanced efficiency,and sustained stability.Every method elucidated is exemplified through pertinent RA or RBDO scenarios.By juxtaposing them against alternative strategies,the efficacy of these methods becomes evident.The outcomes proffered are subsequently employed as a foundation for contemplating prospective theoretical and practical research endeavors concerning SAMs.The main purpose and value of this article is to review the SAM and reliability-related issues,which can provide some reference and inspiration for future research scholars in this field.

Gamma Approximation Based Multi-Antenna Covert Communication Detection

Covert communication technology makes wireless communication more secure,but it also provides more opportunities for illegal users to transmit harmful information.In order to detect the illegal covert communication of the lawbreakers in real time for subsequent processing,this paper proposes a Gamma approximation-based detection method for multi-antenna covert communication systems.Specifically,the Gamma approximation property is used to calculate the miss detection rate and false alarm rate of the monitor firstly.Then the optimization problem to minimize the sum of the missed detection rate and the false alarm rate is proposed.The optimal detection threshold and the minimum error detection probability are solved according to the properties of the Lambert W function.Finally,simulation results are given to demonstrate the effectiveness of the proposed method.

Chebyshev polynomial-based Ritz method for thermal buckling and free vibration behaviors of metal foam beams

This study presents the Chebyshev polynomials-based Ritz method to examine the thermal buckling and free vibration characteristics of metal foam beams.The analyses include three models for porosity distribution and two scenarios for thermal distribution.The material properties are assessed under two conditions,i.e.,temperature dependence and temperature independence.The theoretical framework for the beams is based on the higher-order shear deformation theory,which incorporates shear deformations with higher-order polynomials.The governing equations are established from the Lagrange equations,and the beam displacement fields are approximated by the Chebyshev polynomials.Numerical simulations are performed to evaluate the effects of thermal load,slenderness,boundary condition(BC),and porosity distribution on the buckling and vibration behaviors of metal foam beams.The findings highlight the significant influence of temperature-dependent(TD)material properties on metal foam beams'buckling and vibration responses.

Relaxed Stability Criteria for Time-Delay Systems:A Novel Quadratic Function Convex Approximation Approach

This paper develops a quadratic function convex approximation approach to deal with the negative definite problem of the quadratic function induced by stability analysis of linear systems with time-varying delays.By introducing two adjustable parameters and two free variables,a novel convex function greater than or equal to the quadratic function is constructed,regardless of the sign of the coefficient in the quadratic term.The developed lemma can also be degenerated into the existing quadratic function negative-determination(QFND)lemma and relaxed QFND lemma respectively,by setting two adjustable parameters and two free variables as some particular values.Moreover,for a linear system with time-varying delays,a relaxed stability criterion is established via our developed lemma,together with the quivalent reciprocal combination technique and the Bessel-Legendre inequality.As a result,the conservatism can be reduced via the proposed approach in the context of constructing Lyapunov-Krasovskii functionals for the stability analysis of linear time-varying delay systems.Finally,the superiority of our results is illustrated through three numerical examples.

An Overview of Sequential Approximation in Topology Optimization of Continuum Structure

This paper offers an extensive overview of the utilization of sequential approximate optimization approaches in the context of numerically simulated large-scale continuum structures.These structures,commonly encountered in engineering applications,often involve complex objective and constraint functions that cannot be readily expressed as explicit functions of the design variables.As a result,sequential approximation techniques have emerged as the preferred strategy for addressing a wide array of topology optimization challenges.Over the past several decades,topology optimization methods have been advanced remarkably and successfully applied to solve engineering problems incorporating diverse physical backgrounds.In comparison to the large-scale equation solution,sensitivity analysis,graphics post-processing,etc.,the progress of the sequential approximation functions and their corresponding optimizersmake sluggish progress.Researchers,particularly novices,pay special attention to their difficulties with a particular problem.Thus,this paper provides an overview of sequential approximation functions,related literature on topology optimization methods,and their applications.Starting from optimality criteria and sequential linear programming,the other sequential approximate optimizations are introduced by employing Taylor expansion and intervening variables.In addition,recent advancements have led to the emergence of approaches such as Augmented Lagrange,sequential approximate integer,and non-gradient approximation are also introduced.By highlighting real-world applications and case studies,the paper not only demonstrates the practical relevance of these methods but also underscores the need for continued exploration in this area.Furthermore,to provide a comprehensive overview,this paper offers several novel developments that aim to illuminate potential directions for future research.

Nonlinear Filtering With Sample-Based Approximation Under Constrained Communication:Progress, Insights and Trends

The nonlinear filtering problem has enduringly been an active research topic in both academia and industry due to its ever-growing theoretical importance and practical significance.The main objective of nonlinear filtering is to infer the states of a nonlinear dynamical system of interest based on the available noisy measurements. In recent years, the advance of network communication technology has not only popularized the networked systems with apparent advantages in terms of installation,cost and maintenance, but also brought about a series of challenges to the design of nonlinear filtering algorithms, among which the communication constraint has been recognized as a dominating concern. In this context, a great number of investigations have been launched towards the networked nonlinear filtering problem with communication constraints, and many samplebased nonlinear filters have been developed to deal with the highly nonlinear and/or non-Gaussian scenarios. The aim of this paper is to provide a timely survey about the recent advances on the sample-based networked nonlinear filtering problem from the perspective of communication constraints. More specifically, we first review three important families of sample-based filtering methods known as the unscented Kalman filter, particle filter,and maximum correntropy filter. Then, the latest developments are surveyed with stress on the topics regarding incomplete/imperfect information, limited resources and cyber security.Finally, several challenges and open problems are highlighted to shed some lights on the possible trends of future research in this realm.

论解第二类Volterra积分方程的Chebyshev极值点配置法

讨论解第二类Volterra积分方程的一种Chebyshev极值点配置方法。介绍了Chebyshev多项式及其性质,阐述了Chebyshev极值点配置方法的构造思路及其计算步骤。研究了Chebyshev极值点配置方法的误差分析,给出了2种范数意义下数值解的误差估计。最后,数值实验说明,该方法求解第二类Volterra积分方程是有效的,且误差是收敛的。

基于Chebyshev-Ritz法分析两端固支梁在移动荷载下的动力响应

基于小变形、二维弹性力学理论,采用Chebyshev-Ritz法分析两端固支梁在移动集中简谐荷载下的动力响应.利用第一类Chebyshev多项式与边界特征函数的积作为梁位移的试函数,给出求解梁任意阶自振频率的方法,采用Newmark-β法求解振动控制方程得到梁位移响应的数值解.由收敛性分析可知本文方法求解的数值稳定、收敛快速且精度较高,与有限元软件ANSYS建模分析结果对比一致性较好.分析加速、减速和匀速运动下不同速度、荷载频率对于位移响应的影响,可为桥梁损伤检测和计算提供数据支撑和理论参考.

|x|在扩展的Chebyshev结点的有理插值

研究|x|在扩展的Chebyshev结点的有理插值,得到逼近阶为O(1/(nln n)).通过数值计算发现相同逼近阶的误差与结点的密集度、结点所在曲线的凹凸性有关.

基于GA-Chebyshev神经网络的一类分数阶微分方程的数值解

针对一类分数阶微分方程求数值解的问题,在切比雪夫神经网络的基础上,提出一种利用遗传算法优化切比雪夫神经网络的新方法,并通过2个算例验证了该方法的可行性和有效性。研究结果表明:与现有数值方法相比,采用改进的切比雪夫神经网络方法计算微分方程的数值解与准确解更为接近,误差较小。研究结论为分数阶微分方程中类似问题的求解提供了新思路。

Volterra型积分微分方程Chebyshev谱配置法求解

采用Chebyshev谱配置法求解Volterra型积分微分方程.首先将积分微分方程改写成等价的第二类Volterra积分方程组,再取Clenshaw-Curtis点为配置点,然后利用Clenshaw-Curtis求积法则离散方程中积分项得到配置方程组,最后给出在L∞范数空间下的误差分析,并用数值实例验证理论分析的结果.该方法既有谱精度,程序又易实现.

Analysis of stochastic bifurcation and chaos in stochastic Duffing-van der Pol system via Chebyshev polynomial approximation

The Chebyshev polynomial approximation is applied to investigate the stochastic period-doubling bifurcation and chaos problems of a stochastic Duffing-van der Pol system with bounded random parameter of exponential probability density function subjected to a harmonic excitation. Firstly the stochastic system is reduced into its equivalent deterministic one, and then the responses of stochastic system can be obtained by numerical methods. Nonlinear dynamical behaviour related to stochastic period-doubling bifurcation and chaos in the stochastic system is explored. Numerical simulations show that similar to its counterpart in deterministic nonlinear system of stochastic period-doubling bifurcation and chaos may occur in the stochastic Duffing-van der Pol system even for weak intensity of random parameter. Simply increasing the intensity of the random parameter may result in the period-doubling bifurcation which is absent from the deterministic system.

基于Chebyshev-Galerkin-KL展开的土质边坡稳定可靠度分析

提出了一种基于Chebyshev-Galerkin-KL(Karhunen-Loève)展开的新型随机场离散方法,推导了该方法的理论公式,并研发了基于Python语言的边坡滑体体积计算及其失效模式自动识别的高效程序。采用一个水位上涨时的非饱和土坡算例验证了方法的有效性。结果表明:所提随机场生成方法为求解第二类Fredholm积分方程提供了一种新思路,可准确表征岩土体参数的空间变异性。基于Python提出的边坡风险评估程序,与随机有限元计算过程不耦合,极大地提升了开展边坡风险评估的效率,从而增强预测滑坡致灾风险的时效性。此外,研究中非饱和土坡算例可靠度分析结果表明:水位上涨速度越慢,最大水位高度越高,该边坡的安全程度将越低。岩土体参数的竖向空间变异性对该算例边坡安全系数的影响甚微,但对滑体体积的影响较为显著。在对水位上升条件下的边坡开展可靠度分析时,应关注抗剪强度参数间的负相关性,否则将会低估边坡的安全程度。

CHEBYSHEV APPROXIMATION BY FUNCTIONS HAVING RESTRICTED RANGES WITH EQUALITIES

In this paper, we establish a new type of alternation theory for more general restricted ranges Chebyshev approximation with equalities. The uniqueness and strong uniqueness theorems are given. Applying the results, we obtain the alternation theorem and uniqueness theorem for best coposilive approximation.

GENERALIZED SIMULTANEOUS CHEBYSHEV APPROXIMATION

In this note,we develop,without assuming the Haar condition,a generalized simultaneous Chebyshev approximation theory which is similar to the classical Chebyshev theory and con- rains it as a special case.Our results also contain those in[1]and[3]as a special case,and the two conjectures proposed by C.B.Dunham in[2]are proved to be true in the case of simulta- neous approximation.