A Novel Method of Dynamic Force Identification and Its Application

In this paper, an efficient mixed spectral conjugate gradient (EMSCG, for short) method is presented for solving unconstrained optimization problems. In this work, we construct a novel formula performed by using a conjugate gradient parameter which takes into account the advantages of Fletcher–Reeve...

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Main Authors: Nengjian Wang, Qinhui Liu, Chunping Ren, Chunsheng Liu
Format: Article
Language:English
Published: Hindawi Limited 2019-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2019/1534560
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spelling doaj-056630af808e4f5e89a3330b761c49b52020-11-25T00:55:07ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472019-01-01201910.1155/2019/15345601534560A Novel Method of Dynamic Force Identification and Its ApplicationNengjian Wang0Qinhui Liu1Chunping Ren2Chunsheng Liu3College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150001, ChinaCollege of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150001, ChinaCollege of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150001, ChinaHeilongjiang University of Science and Technology, Harbin 150022, ChinaIn this paper, an efficient mixed spectral conjugate gradient (EMSCG, for short) method is presented for solving unconstrained optimization problems. In this work, we construct a novel formula performed by using a conjugate gradient parameter which takes into account the advantages of Fletcher–Reeves (FR), Polak–Ribiere–Polyak (PRP), and a variant Polak-Ribiere-Polyak (VPRP), prove its stability and convergence, and apply it to the dynamic force identification of practical engineering structure. The analysis results show that the present method has higher efficiency, stronger robust convergence quality, and fewer iterations. In addition, the proposed method can provide more efficient and numerically stable approximation of the actual force, compared with the FR method, PRP method, and VPRP method. Therefore, we can make a clear conclusion that the proposed method in this paper can provide an effective optimization solution. Meanwhile, there is reason to believe that the proposed method can offer a reference for future research.http://dx.doi.org/10.1155/2019/1534560
collection DOAJ
language English
format Article
sources DOAJ
author Nengjian Wang
Qinhui Liu
Chunping Ren
Chunsheng Liu
spellingShingle Nengjian Wang
Qinhui Liu
Chunping Ren
Chunsheng Liu
A Novel Method of Dynamic Force Identification and Its Application
Mathematical Problems in Engineering
author_facet Nengjian Wang
Qinhui Liu
Chunping Ren
Chunsheng Liu
author_sort Nengjian Wang
title A Novel Method of Dynamic Force Identification and Its Application
title_short A Novel Method of Dynamic Force Identification and Its Application
title_full A Novel Method of Dynamic Force Identification and Its Application
title_fullStr A Novel Method of Dynamic Force Identification and Its Application
title_full_unstemmed A Novel Method of Dynamic Force Identification and Its Application
title_sort novel method of dynamic force identification and its application
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2019-01-01
description In this paper, an efficient mixed spectral conjugate gradient (EMSCG, for short) method is presented for solving unconstrained optimization problems. In this work, we construct a novel formula performed by using a conjugate gradient parameter which takes into account the advantages of Fletcher–Reeves (FR), Polak–Ribiere–Polyak (PRP), and a variant Polak-Ribiere-Polyak (VPRP), prove its stability and convergence, and apply it to the dynamic force identification of practical engineering structure. The analysis results show that the present method has higher efficiency, stronger robust convergence quality, and fewer iterations. In addition, the proposed method can provide more efficient and numerically stable approximation of the actual force, compared with the FR method, PRP method, and VPRP method. Therefore, we can make a clear conclusion that the proposed method in this paper can provide an effective optimization solution. Meanwhile, there is reason to believe that the proposed method can offer a reference for future research.
url http://dx.doi.org/10.1155/2019/1534560
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