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Dynamic Multi-Objective Gannet Optimization(DMGO):An Adaptive Algorithm for Efficient Data Replication in Cloud Systems 认领 引用
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作者 P.William Ved Prakash Mishra +3 位作者 Osamah Ibrahim Khalaf Arvind Mukundan Yogeesh N Riya Karmakar 《Computers, Materials & Continua》 SCIE EI 2025年第9期5133-5156,共24页
Cloud computing has become an essential technology for the management and processing of large datasets,offering scalability,high availability,and fault tolerance.However,optimizing data replication across multiple dat... Cloud computing has become an essential technology for the management and processing of large datasets,offering scalability,high availability,and fault tolerance.However,optimizing data replication across multiple data centers poses a significant challenge,especially when balancing opposing goals such as latency,storage costs,energy consumption,and network efficiency.This study introduces a novel Dynamic Optimization Algorithm called Dynamic Multi-Objective Gannet Optimization(DMGO),designed to enhance data replication efficiency in cloud environments.Unlike traditional static replication systems,DMGO adapts dynamically to variations in network conditions,system demand,and resource availability.The approach utilizes multi-objective optimization approaches to efficiently balance data access latency,storage efficiency,and operational costs.DMGO consistently evaluates data center performance and adjusts replication algorithms in real time to guarantee optimal system efficiency.Experimental evaluations conducted in a simulated cloud environment demonstrate that DMGO significantly outperforms conventional static algorithms,achieving faster data access,lower storage overhead,reduced energy consumption,and improved scalability.The proposed methodology offers a robust and adaptable solution for modern cloud systems,ensuring efficient resource consumption while maintaining high performance. 展开更多
关键词 Cloud computing data replication dynamic optimization multi-objective optimization gannet optimization algorithm adaptive algorithms resource efficiency scalability latency reduction energy-efficient computing
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MESH FREE ADAPTIVE ALGORITHM FOR SOLVING EULER EQUATIONS ON STRUCTURED GRID POINTS 认领 引用 被引量：3
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作者 马志华 陈红全 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI 2005年第4期271-275,共5页
A complete mesh free adaptive algorithm （MFAA）, with solution adaptation and geometric adaptation, is developed to improve the resolution of flow features and to replace traditional global refinement techniques in s... A complete mesh free adaptive algorithm （MFAA）, with solution adaptation and geometric adaptation, is developed to improve the resolution of flow features and to replace traditional global refinement techniques in structured grids. Unnecessary redundant points and elements are avoided by using the mesh free local clouds refinement technology in shock influencing regions and regions near large curvature places on the boundary. Inviscid compressible flows over NACA0012 and RAE2822 airfoils are computed. Finally numerical results validate the accuracy of the above method. 展开更多
关键词 mesh free adaptive algorithm local refinement Euler equations
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An adaptive algorithm for pass adaptation in plate rolling 认领 引用
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作者 Zhichun Mu, WeimingLi, and Ke LiuInformation Engineering School, University of Science and Technology Beijing, Beijing 100083, China 《Journal of University of Science and Technology Beijing》 2002年第5期396-399,共4页
A new algorithm for pass adaptation in plate rolling is developedto improve thickness accuracy of plate products. The feature of thealgorithm is that it uses the measured data rather than the schedulecalculated data i... A new algorithm for pass adaptation in plate rolling is developedto improve thickness accuracy of plate products. The feature of thealgorithm is that it uses the measured data rather than the schedulecalculated data in adaptation, which leads to notable improvem- entin prediction accuracy of the rolling parameters and thicknessaccuracy of products can be improved according. Results show thatthis adaptive algorithm is effective in practice. 展开更多
关键词 adaptive algorithm plate rolling measured data
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High-order discretization of the Reynolds stress model with anεβ-adaptive algorithm 认领 引用 被引量：5
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作者 Xiang Fu Xiaogang Deng +2 位作者 Shengye Wang Shichao Zheng Guangxue Wang 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2022年第6期81-94,I0002,共14页
The Reynolds stress model(RSM)outperforms the eddy viscosity model(EVM)when simulating complex flows and has increased demand for high-order discretization.However,the complexity of the RSM equations results in poor n... The Reynolds stress model(RSM)outperforms the eddy viscosity model(EVM)when simulating complex flows and has increased demand for high-order discretization.However,the complexity of the RSM equations results in poor numerical stability and weak convergence performance.One of the reasons is that the properties of Reynolds stresses are not fully considered in the design of the numerical scheme.In response to this issue,this study develops an adaptive algorithm to adjustεβvalues(an empirical parameter in nonlinear weights)according to the magnitude and smoothness of the Reynolds stresses.This algorithm is introduced into the fifth-order weighted compact nonlinear scheme(WCNS)and is applied to the high-order discretization of the RSM.Three aeronautic test cases are simulated to investigate the performance of the algorithm.The numerical results show that,the adaptive algorithm can reduce the residual by up to 3 orders of magnitude and predict the correct weights for gradient reversals.These results confirm that the application of theεβ-adaptive algorithm to the high-order discretization of the RSM is beneficial both for enhancing convergence and improving resolution. 展开更多
关键词 WCNS Reynolds stress model Adaptive algorithm Resolution
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Adaptive Algorithm for Accelerating Direct Isosurface Rendering on GPU 认领 引用
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作者 Sergey Belyaev Pavel Smirnov +1 位作者 Vladislav Shubnikov Natalia Smirnova 《Journal of Electronic Science and Technology》 EI CAS CSCD 2018年第3期222-231,共10页
Direct isosurface volume rendering is the most prominent modern method for medical data visualization.It is based on finding intersection points between the rays corresponding to pixels on the screen and isosurface. T... Direct isosurface volume rendering is the most prominent modern method for medical data visualization.It is based on finding intersection points between the rays corresponding to pixels on the screen and isosurface. This article describes a two-pass algorithm for accelerating the method on the graphic processing unit(GPU). On the first pass, the intersections with the isosurface are found only for a small number of rays, which is done by rendering into a lower-resolution texture. On the second pass, the obtained information is used to efficiently calculate the intersection points of all the other. The number of rays to use during the first pass is determined by using an adaptive algorithm, which runs on the central processing unit(CPU) in parallel with the second pass of the rendering. The proposed approach allows to significantly speed up isosurface visualization without quality loss. Experiments show acceleration up to 10 times in comparison with a common ray casting method implemented on GPU. To the authors’ knowledge, this is the fastest approach for ray casting which does not require any preprocessing and could be run on common GPUs. 展开更多
关键词 Adaptive algorithms isosurface rendering ray casting volume visualization
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On the E-Valuation of Certain E-Business Strategies on Firm Performance by Adaptive Algorithmic Modeling: An Alternative Strategic Managerial Approach 认领 引用 被引量：1
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作者 Alexandra Lipitakis Evangelia A.E.C. Lipitakis 《Computer Technology and Application》 2012年第1期38-46,共9页
This paper describes an innovative adaptive algorithmic modeling approach, for solving a wide class of e-business and strategic management problems under uncertainty conditions. The proposed methodology is based on ba... This paper describes an innovative adaptive algorithmic modeling approach, for solving a wide class of e-business and strategic management problems under uncertainty conditions. The proposed methodology is based on basic ideas and concepts of four key-field interrelated sciences, i.e., computing science, applied mathematics, management sciences and economic sciences. Furthermore, the fundamental scientific concepts of adaptability and uncertainty are shown to play a critical role of major importance for a （near） optimum solution of a class of complex e-business/services and strategic management problems. Two characteristic case studies, namely measuring e-business performance under certain environmental pressures and organizational constraints and describing the relationships between technology, innovation and firm performance, are considered as effective applications of the proposed adaptive algorithmic modeling approach. A theoretical time-dependent model for the evaluation of firm e-business performances is also proposed. 展开更多
关键词 Adaptive algorithms algorithmic modeling e-business problems e-service strategy management methodologies hybrid algorithmic modeling strategy management （SM） methodologies time-dependent performance evaluation model.
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Study of a Modified Fast Adaptive Algorithm for Digital Beamforming 认领 引用
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作者 Wang ZhongHuang Shunji 《Journal of Systems Engineering and Electronics》 EI 1998年第4期75-80,共6页
This paper provides a modified fast adaptive algorithm for digital beamforming. It is analgorithm with strict constraint minimum power sampling matrix gradient (CSMG). It has merits ofboth traditional sampling mains g... This paper provides a modified fast adaptive algorithm for digital beamforming. It is analgorithm with strict constraint minimum power sampling matrix gradient (CSMG). It has merits ofboth traditional sampling mains gradient (SMG) and strictly constrained minimum power adaptivealgorithm. 16-element uniform circular array is selected. Some results of computer simulation aregiven. The results indicate that the beam direction will change with constraint angle and can beadaptable to adjust zero very well. The algorithm is fast convergent. 展开更多
关键词 Beam steering Adaptive algorithm Gradient Convergeuce
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A Class of Generalized Approximate Inverse Solvers for Unsymmetric Linear Systems of Irregular Structure Based on Adaptive Algorithmic Modelling for Solving Complex Computational Problems in Three Space Dimensions 认领 引用
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作者 Anastasia-Dimitra Lipitakis 《Applied Mathematics》 2016年第11期1225-1240,共16页
A class of general inverse matrix techniques based on adaptive algorithmic modelling methodologies is derived yielding iterative methods for solving unsymmetric linear systems of irregular structure arising in complex... A class of general inverse matrix techniques based on adaptive algorithmic modelling methodologies is derived yielding iterative methods for solving unsymmetric linear systems of irregular structure arising in complex computational problems in three space dimensions. The proposed class of approximate inverse is chosen as the basis to yield systems on which classic and preconditioned iterative methods are explicitly applied. Optimized versions of the proposed approximate inverse are presented using special storage (k-sweep) techniques leading to economical forms of the approximate inverses. Application of the adaptive algorithmic methodologies on a characteristic nonlinear boundary value problem is discussed and numerical results are given. 展开更多
关键词 Adaptive Algorithms Algorithmic Modelling Approximate Inverse Incomplete LU Factorization Approximate Decomposition Unsymmetric Linear Systems Preconditioned Iterative Methods Systems of Irregular Structure
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AN ADAPTIVE ALGORITHM FOR L1-FIDELITY COLOR IMAGE RESTORATION 认领 引用
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作者 Wei Wang Chengyun Yang Qifan Song 《Journal of Computational Mathematics》 SCIE CSCD 2026年第3期779-793,共15页
In this paper,we propose an adaptive algorithm for L1-fidelity color image restoration by using saturation-value total variation.The main contribution of this paper is to employ the generalized cross validation method... In this paper,we propose an adaptive algorithm for L1-fidelity color image restoration by using saturation-value total variation.The main contribution of this paper is to employ the generalized cross validation method efficiently and automatically to estimate the regularization parameter in a saturation-value total variation plus L1-fidelity color image restoration model.We consider Poisson noise and mixed noise in this paper,and the experimental results show that the visual quality and the SSIM/PSNR/SAM values of the restored images by using the proposed algorithm are competitive with other tested existing methods,which makes the proposed algorithm to be comparable both quantitatively and qualitatively. 展开更多
关键词 Adaptive algorithm Saturation-value total variation L1-fidelity Cross validation Poisson noise
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Adaptive algorithm for solving different types and different precisions and nonlinear surveying and mapping parameters adjustment 认领 引用
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作者 NING Wei QING Xi-hong TAO Hua-xue 《中国有色金属学会会刊：英文版》 2005年第S1期221-224,共4页
Approximate linear methods and nonlinear methods were adopted usually for solving models of nonlinear surveying and mapping parameters adjustment.But,these iterative algorithms need to compare harsh initial value.A ki... Approximate linear methods and nonlinear methods were adopted usually for solving models of nonlinear surveying and mapping parameters adjustment.But,these iterative algorithms need to compare harsh initial value.A kind of new algorithm-adaptive algorithm based on analyzing the general methods was put forward.The new algorithm has quick rate of convergence and low dependence for initial value,so it can avoid calculating complex second derivative of the target function.The results indicate that its performance is better than those of the others. 展开更多
关键词 parameters adjustment least square method adaptive algorithm
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Effect of Tooth Geometry on Multi-cycle Meshing Temperature of POM Worm Gears:Parametric Study via an Adaptive Iteration Algorithm 认领 引用
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作者 Kaixing Li Wujiao Xu +1 位作者 Yonggang Liu Datong Qin 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2025年第2期427-439,共13页
Meshing temperature analyses of polymer gears reported in the literature mainly concern the effects of various material combinations and loading conditions,as their impacts could be seen in the first few meshing cycle... Meshing temperature analyses of polymer gears reported in the literature mainly concern the effects of various material combinations and loading conditions,as their impacts could be seen in the first few meshing cycles.However,the effects of tooth geometry parameters could manifest as the meshing cycles increase.This study investigated the effects of tooth geometry parameters on the multi-cycle meshing temperature of polyoxymethylene(POM)worm gears,aiming to control the meshing temperature elevation by tuning the tooth geometry.Firstly,a finite element(FE)model capable of separately calculating the heat generation and simulating the heat propagation was established.Moreover,an adaptive iteration algorithm was proposed within the FE framework to capture the influence of the heat generation variation from cycle to cycle.This algorithm proved to be feasible and highly efficient compared with experimental results from the literature and simulated results via the full-iteration algorithm.Multi-cycle meshing temperature analyses were conducted on a series of POM worm gears with different tooth geometry parameters.The results reveal that,within the range of 14.5°to 25°,a pressure angle of 25°is favorable for reducing the peak surface temperature and overall body temperature of POM worm gears,which influence flank wear and load-carrying capability,respectively.However,addendum modification should be weighed because it helps with load bearing but increases the risk of severe flank wear.This paper proposes an efficient iteration algorithm for multi-cycle meshing temperature analysis of polymer gears and proves the feasibility of controlling the meshing temperature elevation during multiple cycles by tuning tooth geometry. 展开更多
关键词 POM worm gears Multi-cycle meshing temperature Adaptive iteration algorithm Tooth geometry parameters Parametric study
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Novel algorithm of traffic signals adaptive control on urban roads intersections 认领 引用 被引量：1
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作者 Huanjiong Zhang 《Journal of Highway and Transportation Research and Development(English Edition)》 2025年第1期25-28,共4页
The control of traffic flows on urban roads intersections through the traffic control signals is very important,not only does the jammed traffic statement valuably relieve and the ratio of the traffic availability inc... The control of traffic flows on urban roads intersections through the traffic control signals is very important,not only does the jammed traffic statement valuably relieve and the ratio of the traffic availability increase,but also the traffic accidents evidently decrease.In this paper,an adaptive algorithm of traffic control signals on the urban roads intersections is designed in,this new algorithm can actively adjust the concrete control times of the traffic control signals based on the perceiving information of the waiting vehicles in real time,then the dynamic balance between the traffic control signals and the traffic flows can be realized.Furthermore,through experiment testing and demonstrating,this adaptive algorithm expresses some fine performances,it also shows good application prospect in the field of smart city. 展开更多
关键词 Traffic engineering Urban road intersections Traffic control signals Perception devices Adaptive algorithm Control phases
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Variable Projection Order Adaptive Filtering Algorithm for Self-interference Cancellation in Airborne Radars 认领 引用
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作者 LI Haorui GAO Ying +1 位作者 GUO Xinyu OU Shifeng 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI CSCD 2025年第4期497-508,共12页
The adaptive filtering algorithm with a fixed projection order is unable to adjust its performance in response to changes in the external environment of airborne radars.To overcome this limitation,a new approach is in... The adaptive filtering algorithm with a fixed projection order is unable to adjust its performance in response to changes in the external environment of airborne radars.To overcome this limitation,a new approach is introduced,which is the variable projection order Ekblom norm-promoted adaptive algorithm(VPO-EPAA).The method begins by examining the mean squared deviation(MSD)of the EPAA,deriving a formula for its MSD.Next,it compares the MSD of EPAA at two different projection orders and selects the one that minimizes the MSD as the parameter for the current iteration.Furthermore,the algorithm’s computational complexity is analyzed theoretically.Simulation results from system identification and self-interference cancellation show that the proposed algorithm performs exceptionally well in airborne radar signal self-interference cancellation,even under various noise intensities and types of interference. 展开更多
关键词 adaptive filtering algorithm airborne radar variable projection order mean squared deviation self-interference cancellation
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Tilt Measurement Method of Wooden Columns in Traditional Timber Buildings Based on Adaptive RANSAC and PCA Method 认领 引用
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作者 Minyan Zhan Wei Yang +2 位作者 Minghao Wu Hsin-Yi Wang Yu-Hsien Ho 《Structural Durability & Health Monitoring》 EI 2026年第3期395-414,共20页
The inclination of wooden columns is a key indicator for evaluating the structural safety of traditional timber buildings in China.However,accurate measurement is challenging because these columns typically exhibit na... The inclination of wooden columns is a key indicator for evaluating the structural safety of traditional timber buildings in China.However,accurate measurement is challenging because these columns typically exhibit natural tapering,with diameters decreasing from the base to the top,and surface irregularities such as artificial cuts,cracks,and knots.Both the intrinsic geometric characteristics and surface defects reduce the precision of coordinate acquisition and the reliability of inclination estimation.To overcome these limitations,this study proposes a novel inclination measurement method for wooden columns in traditional timber buildings based on multi-section measurement and spatial line fitting.An adaptive random sample consensus algorithm is employed to effectively remove outliers induced by surface damage and measurement noise.Subsequently,principal component analysis is used to fit a three-dimensional spatial line through the center points of multiple cross-sections,enabling accurate computation of the inclination angle while accounting for structural imperfections.Moreover,the effects of damage defects,the number of measuring points,the measurement range,and the number of selected cross-sections on measurement accuracy are systematically investigated through statistical analysis,and corresponding recommended values for engineering practice are provided.The proposed method offers an efficient and reliable solution for inclination measurement,supporting the inspection and structural safety assessment of traditional timber columns. 展开更多
关键词 Traditional timber building inclination measurement of wooden column adaptive random sample consensus algorithm principal component analysis
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An Adaptive Trajectory-Assisted Dynamic Indoor Positioning Method Based on RSS Fingerprinting 认领 引用
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作者 Jing Liu Weijie Tan 《Computers, Materials & Continua》 SCIE EI 2026年第9期253-277,共25页
Due to its low hardware cost and ease of deployment,WiFi fingerprinting has become a prominent research direction in indoor positioning.However,traditional methods based on Received Signal Strength(RSS)still face thre... Due to its low hardware cost and ease of deployment,WiFi fingerprinting has become a prominent research direction in indoor positioning.However,traditional methods based on Received Signal Strength(RSS)still face three critical challenges:susceptibility to noise interference,lowretrieval efficiency as fingerprint databases scale up,and trajectory instability in dynamic environments.These challenges are inherently rooted in the stochastic fluctuation of RSS signals,the high-dimensional and non-Euclidean nature of fingerprint space,and the unpredictability of user movement patterns.To address these limitations,an adaptive trajectory-assisted dynamic indoor positioning algorithm based on RSS fingerprinting,termed AT-WKNN(Adaptive Trajectory-assisted Weighted K-Nearest Neighbor),is proposed.Specifically,a hybrid distance metric incorporating adaptive distance constraints is first designed to identify high-quality neighboring fingerprints while filtering out noisy samples,thereby improving positioning accuracy.Subsequently,aHierarchicalNavigable Small-World(HNSW)structure is employed to enable efficient fingerprint retrieval.In addition,a Kalman filter is utilized to smooth trajectory estimation and suppress dynamic noise.Experimental results demonstrate that the proposed AT-WKNN algorithm achieves a 43.0%improvement in positioning accuracy and a 6.90×increase in retrieval efficiency compared with the baseline WKNN method.Furthermore,validation on the large-scale UJIIndoorLoc benchmark dataset confirms the scalability and generalization capability of the proposed method. 展开更多
关键词 Indoor localization WiFi fingerprinting adaptive localization algorithm trajectory tracking
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Adaptive Algorithms of Nonlinear Approximation with Finite Terms 认领 引用 被引量：7
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作者 Wen Bin WEI Yue Sheng XU Pei Xin YE 《Acta Mathematica Sinica,English Series》 SCIE 2007年第9期1663-1672,共10页
This paper deals with realizable adaptive algorithms of the nonlinear approximation with finite terms based on wavelets. We present a concrete algorithm by which we may find the required index set Am for the greedy al... This paper deals with realizable adaptive algorithms of the nonlinear approximation with finite terms based on wavelets. We present a concrete algorithm by which we may find the required index set Am for the greedy algorithm Gm^P（., Ψ）. This makes the greedy algorithm realize the near best approximation in practice. Moreover, we study the efficiency of the finite-term approximation of another Mgorithm introduced by Birge and Massart. 展开更多
关键词 nonlinear approximation dictionary Haar system adaptive algorithm near best approximation
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A Block Parallel l_0-Norm Penalized Shrinkage and Widely Linear Affine Projection Algorithm for Adaptive Filter 认领 引用 被引量：1
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作者 Youwen Zhang Shuang Xiao +1 位作者 Lu Liu Dajun Sun 《China Communications》 SCIE CSCD 2017年第1期86-97,共12页
To improve the identification capability of AP algorithm in time-varying sparse system, we propose a block parallel l_0-SWL-DCD-AP algorithm in this paper. In the proposed algorithm, we first introduce the l_0-norm co... To improve the identification capability of AP algorithm in time-varying sparse system, we propose a block parallel l_0-SWL-DCD-AP algorithm in this paper. In the proposed algorithm, we first introduce the l_0-norm constraint to promote its application for sparse system. Second, we use the shrinkage denoising method to improve its track ability. Third, we adopt the widely linear processing to take advantage of the non-circular properties of communication signals. Last, to reduce the high computational complexity and make it easy to implemented, we utilize the dichotomous coordinate descent(DCD) iterations and the parallel processing to deal with the tapweight update in the proposed algorithm. To verify the convergence condition of the proposed algorithm, we also analyze its steadystate behavior. Several simulation are done and results show that the proposed algorithm can achieve a faster convergence speed and a lower steady-state misalignment than similar APA-type algorithm. When apply the proposed algorithm in the decision feedback equalizer(DFE), the bite error rate(BER) decreases obviously. 展开更多
关键词 signal processing adaptive algorithm LMS l0-norm shrinkage linear DCD
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A novel algorithm of adaptive IIR lattice notch filter and performance analysis 认领 引用 被引量：3
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作者 秦鹏 蔡萍 《Journal of Shanghai University(English Edition)》 2007年第5期485-489,共5页
A novel adaptive algorithm of IIR lattice notch filter realized by all-pass filter is presented. The time-averaged estimation of cross correlation of the present instantaneous input signal and the past output signal i... A novel adaptive algorithm of IIR lattice notch filter realized by all-pass filter is presented. The time-averaged estimation of cross correlation of the present instantaneous input signal and the past output signal is used to update the step-size, leading to a considerably improved convergence rate in a low SNR situation and reduced steady-state bias and MSE. The theoretical expression for steady-state bounds on the step-size is derived, and the influence factors on the stable performance of the algorithm theoretically are analyzed. A normalized power factor is then introduced to control variation of step-size in its steady-state bounds. This technique prevents divergence due to the influence of large power input signal and improves robustness. Numerical experiments are performed to demonstrate superiority of the proposed method. 展开更多
关键词 lattice notch filter adaptive algorithm cross correction steady-state bounds normalized power factor.
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The Algorithms of Adaptive Active Noise Control Systems in a Duct 认领 引用
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作者 韩秀苓 程凡 +1 位作者 高建林 李传光 《Journal of Beijing Institute of Technology》 EI CAS 1995年第1期85+80-85,共86页
On the basis of the theory of adaptive active noise control(AANC) in a duct, this article discusses the algorithms of the adaptive control, compares the algorithm characteristics using LMS, RLS and LSL algorithms in t... On the basis of the theory of adaptive active noise control(AANC) in a duct, this article discusses the algorithms of the adaptive control, compares the algorithm characteristics using LMS, RLS and LSL algorithms in the adaptive filter in the AANC system, derives the recursive formulas of LMS algorithm. and obtains the LMS algorithm in computer simulation using FIR and IIR filters in AANC system. By means of simulation, we compare the attenuation levels with various input signals in AANC system and discuss the effects of step factor, order of filters and sound delay on the algorithm's convergence rate and attenuation level.We also discuss the attenuation levels with sound feedback using are and IIR filters in AANC system. 展开更多
关键词 adaptive control system adaptive filters noise control /adaptive algorithm LMS algorithm
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Novel adaptive IMEX two-step Runge-Kutta temporal discretization methods for unsteady flows 认领 引用
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作者 Xueyu QIN Jian YU +2 位作者 Xin ZHANG Zhenhua JIANG Chao YAN 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2025年第8期142-153,共12页
Efficient and accurate simulation of unsteady flow presents a significant challenge that needs to be overcome in computational fluid dynamics.Temporal discretization method plays a crucial role in the simulation of un... Efficient and accurate simulation of unsteady flow presents a significant challenge that needs to be overcome in computational fluid dynamics.Temporal discretization method plays a crucial role in the simulation of unsteady flows.To enhance computational efficiency,we propose the Implicit-Explicit Two-Step Runge-Kutta(IMEX-TSRK)time-stepping discretization methods for unsteady flows,and develop a novel adaptive algorithm that correctly partitions spatial regions to apply implicit or explicit methods.The novel adaptive IMEX-TSRK schemes effectively handle the numerical stiffness of the small grid size and improve computational efficiency.Compared to implicit and explicit Runge-Kutta(RK)schemes,the IMEX-TSRK methods achieve the same order of accuracy with fewer first derivative calculations.Numerical case tests demonstrate that the IMEX-TSRK methods maintain numerical stability while enhancing computational efficiency.Specifically,in high Reynolds number flows,the computational efficiency of the IMEX-TSRK methods surpasses that of explicit RK schemes by more than one order of magnitude,and that of implicit RK schemes several times over. 展开更多
关键词 Implicit-explicit temporal methods Two-step Runge-Kutta methods Adaptive algorithm Unsteady flows Navier-Stokes equations
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