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Meshless acoustic analysis using a weakly singular Burton-Miller boundary integral formulation
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作者 Linchong CHEN Xiaolin LI 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI CSCD 2020年第12期1897-1914,共18页
The Burton-Miller boundary integral formulation is solved by a complex variable boundary element-free method(CVBEFM)for the boundary-only meshless analysis of acoustic problems with arbitrary wavenumbers.To regularize... The Burton-Miller boundary integral formulation is solved by a complex variable boundary element-free method(CVBEFM)for the boundary-only meshless analysis of acoustic problems with arbitrary wavenumbers.To regularize both strongly singular and hypersingular integrals and to avoid the computation of the solid angle and its normal derivative,a weakly singular Burton-Miller formulation is derived by considering the normal derivative of the solid angle and adopting the singularity subtraction procedures.To facilitate the implementation of the CVBEFM and the approximation of gradients of the boundary variables,a stabilized complex variable moving least-square approximation is selected in the meshless discretization procedure.The results show the accuracy and efficiency of the present CVBEFM and reveal that the method can produce satisfactory results for all wavenumbers,even for extremely large wavenumbers such as k=10000. 展开更多
关键词 meshless method complex variable moving least-square approximation boundary element-free method Burton-Miller formulation REGULARIZATION high frequency acoustic problem large wavenumber
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Adaptive genetic algorithms guided by decomposition for PCSPs: application to frequency assignment problems
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作者 Lamia SADEG-BELKACEM Zineb HABBAS Wassila AGGOUNE-MTALAA 《Frontiers of Computer Science》 SCIE EI CSCD 2016年第6期1012-1025,共14页
This paper proposes Adaptive Genetic Algorithms Guided by structural knowledges coming from decomposition methods, for solving PCSPs. The family of algorithms called AGAGD_x_y is designed to be doubly genetic, meaning... This paper proposes Adaptive Genetic Algorithms Guided by structural knowledges coming from decomposition methods, for solving PCSPs. The family of algorithms called AGAGD_x_y is designed to be doubly genetic, meaning that any decomposition method and different heuristics for the genetic operators can be considered. To validate the approach, the decomposition algorithm due to Newman was used and several crossover operators based on structural knowledge such as the cluster, separator and the cut were tested. The experimental results obtained on the most challenging Minimum Interference-FAP problems of CALMA instances are very promising and lead to interesting perspectives to be explored in the future. 展开更多
关键词 optimization problems partial constraint satisfaction problems frequency assignment problems graph decomposition adaptive genetic algorithm (AGA) AGA guided by decomposition (AGAGD).
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A Novel Perturbative Iteration Algorithm for Effective and Efficient Solution of Frequency-Dependent Eigenvalue Problems
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作者 Rongming Lin 《Advances in Applied Mathematics and Mechanics》 SCIE 2012年第3期325-339,共15页
Many engineering structures exhibit frequency dependent characteristics and analyses of these structures lead to frequency dependent eigenvalue problems.This paper presents a novel perturbative iteration(PI)algorithm ... Many engineering structures exhibit frequency dependent characteristics and analyses of these structures lead to frequency dependent eigenvalue problems.This paper presents a novel perturbative iteration(PI)algorithm which can be used to effectively and efficiently solve frequency dependent eigenvalue problems of general frequency dependent systems.Mathematical formulations of the proposed method are developed and based on these formulations,a computer algorithm is devised.Extensive numerical case examples are given to demonstrate the practicality of the proposed method.When all modes are included,the method is exact and when only a subset of modes are used,very accurate results are obtained. 展开更多
关键词 frequency dependent eigenvalue problem structural vibration computer algorithm damped structural vibration perturbative iteration eigenvalue and eigenvector sensitivity
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