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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2019-01-01
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2019/1534560 |
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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 |
work_keys_str_mv |
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