基于改进和声搜索算法识别门式起重机结构空间模态的传感器优化布置方法研究

Saved in:
Bibliographic Details
Published in浙江大学学报:A卷英文版 Vol. 16; no. 6; pp. 464 - 477
Main Author Hui JIN Jie XIA Ya-qiong WANG
Format Journal Article
LanguageEnglish
Published 2015
Subjects
Online AccessGet full text

Cover

Loading…
Author Hui JIN Jie XIA Ya-qiong WANG
AuthorAffiliation Jiangsu Key Laboratory of Engineering Mechanics & MOE Key Laboratory of Concrete and Prestressed Concrete Structures, School of Civil Engineering, Southeast University, Nanjing 210096, China
Author_xml – sequence: 1
  fullname: Hui JIN Jie XIA Ya-qiong WANG
BookMark eNrjYmDJy89LZWLgNLQwM9I1NDc3ZQGyzcyNdU3NTCM4GLiKi7MMDEzNDczMORkyn87f9WRX37MpO1_sn_10Us_TxRueTZjzfMui5-umP9s89cX6tqcdq19OX_F0T_-Lrdtftvc-m7Pr-e7Jz-a1PF-56-X0Lc9WLHzW0Ph8VsuTPQuetcx_OnPFkz0znvZMe7qj-fnedc-m7QQa8nzBlOcrt_EwsKYl5hSn8kJpbgYlN9cQZw_d5Iz8vPTCzLz0-IKizNzEosp4MzNTY0tjMwszY6IUAQB-O29i
ContentType Journal Article
DBID 2RA
92L
CQIGP
~WA
DatabaseName 维普_期刊
中文科技期刊数据库-CALIS站点
维普中文期刊数据库
中文科技期刊数据库- 镜像站点
DeliveryMethod fulltext_linktorsrc
Discipline Sciences (General)
DocumentTitleAlternate Optimal sensor placement for space modal identification of crane structures based on an improved harmony search algorithm
EISSN 1862-1775
EndPage 477
ExternalDocumentID 665393686
GroupedDBID -5B
-5G
-BR
-EM
-Y2
-~C
.86
.VR
06D
0R~
0VY
188
1N0
29L
29~
2B.
2C.
2J2
2JN
2JY
2KG
2KM
2LR
2RA
30V
4.4
406
408
40D
40E
5GY
5VR
5VS
6NX
8RM
8UJ
92E
92I
92L
92Q
93N
95-
95.
95~
96X
AAAVM
AABHQ
AAFGU
AAHNG
AAIAL
AAJKR
AAKDD
AANZL
AARHV
AARTL
AATNV
AATVU
AAUYE
AAYFA
AAYIU
AAYQN
AAYTO
ABBBX
ABDZT
ABECU
ABFGW
ABFTV
ABHLI
ABHQN
ABJNI
ABJOX
ABKAS
ABKCH
ABKTR
ABMNI
ABMQK
ABNWP
ABQBU
ABSXP
ABTEG
ABTHY
ABTKH
ABTMW
ABWNU
ABXPI
ACAOD
ACBMV
ACBRV
ACBXY
ACBYP
ACGFS
ACHSB
ACHXU
ACIGE
ACIPQ
ACKNC
ACMDZ
ACMLO
ACOKC
ACSNA
ACTTH
ACVWB
ACWMK
ACZOJ
ADHIR
ADINQ
ADKNI
ADKPE
ADMDM
ADOXG
ADQRH
ADRFC
ADTPH
ADURQ
ADYFF
ADZKW
AEBTG
AEFTE
AEGNC
AEJHL
AEJRE
AEKMD
AENEX
AEOHA
AEPYU
AESKC
AESTI
AETLH
AEVLU
AEVTX
AEXYK
AFLOW
AFNRJ
AFQWF
AFUIB
AFWTZ
AFZKB
AGAYW
AGDGC
AGGBP
AGJBK
AGMZJ
AGQMX
AGWIL
AGWZB
AGYKE
AHAVH
AHBYD
AHKAY
AHSBF
AHYZX
AIAKS
AIIXL
AILAN
AIMYW
AITGF
AJBLW
AJDOV
AJRNO
AJZVZ
AKQUC
ALMA_UNASSIGNED_HOLDINGS
ALWAN
AMKLP
AMXSW
AMYLF
AOCGG
ARMRJ
ASPBG
AVWKF
AXYYD
AZFZN
B-.
BA0
BDATZ
BGNMA
CAG
CCEZO
CEKLB
CHBEP
COF
CQIGP
CSCUP
CW9
DDRTE
DNIVK
DPUIP
EBLON
EBS
EIOEI
EJD
ESBYG
FA0
FEDTE
FERAY
FFXSO
FIGPU
FINBP
FNLPD
FRRFC
FSGXE
FWDCC
GGCAI
GGRSB
GJIRD
GNWQR
GQ6
GQ7
HF~
HG6
HMJXF
HRMNR
HVGLF
HZ~
IHE
IKXTQ
IWAJR
IXD
I~X
I~Z
J-C
JBSCW
JZLTJ
KOV
LLZTM
M4Y
MA-
N2Q
NB0
NPVJJ
NQJWS
NU0
O9-
O9J
P9T
PF0
PT4
QOS
R89
R9I
ROL
RPX
RSV
S16
S1Z
S27
S3B
SAP
SCL
SDH
SEG
SHX
SISQX
SJYHP
SNE
SNPRN
SNX
SOHCF
SOJ
SPISZ
SRMVM
SSLCW
STPWE
SZN
T13
TCJ
TGP
TR2
TSG
TUC
U2A
UG4
UGNYK
UNUBA
UOJIU
UTJUX
UZ4
UZXMN
VC2
VFIZW
W23
W48
WK8
YLTOR
Z5O
Z7R
Z7S
Z7V
Z7X
Z7Y
Z7Z
Z83
Z88
ZMTXR
~A9
~WA
ID FETCH-chongqing_primary_6653936863
ISSN 1673-565X
IngestDate Wed Feb 14 10:29:48 EST 2024
IsPeerReviewed true
IsScholarly true
Issue 6
Language English
LinkModel OpenURL
MergedId FETCHMERGED-chongqing_primary_6653936863
Notes Harmony search (HS) algorithm, Optimal sensor placement, Gantry crane, Modal assurance criterion (MAC), Structural health monitoring (SHM)
The problem of optimal sensor placement plays a key role in the success of structural health monitoring (SHM) systems. In this study, a new method is presented to investigate the optimization problem of sensor placement on gantry crane structures. The method is a combination of an improved harmony search (HS) algorithm and the modal assurance criterion (MAC). Firstly, we review previous studies on setting reasonable values for HS parameters that have the most impact on the result, and highlight the lack of general rules governing this aspect. Based on more efficient HS algorithms resulting from those studies, we apply our proposed technique to the optimization problem of sensor placement on gantry crane structures. The purpose of the optimization method is to select the optimal sensor locations on gantry crane girders to establish a sensor network for an SHM system. Our results show that the HS algorithm is a powerful search and optimization technique that can lead to a better solution to the problem of engineering optimization. The mode of a crane structure could be identified more easily when different mode shape orientations are considered comprehensively.
33-1236/O4
ParticipantIDs chongqing_primary_665393686
PublicationCentury 2000
PublicationDate 2015
PublicationDateYYYYMMDD 2015-01-01
PublicationDate_xml – year: 2015
  text: 2015
PublicationDecade 2010
PublicationTitle 浙江大学学报:A卷英文版
PublicationTitleAlternate Journal of Zhejiang University Science
PublicationYear 2015
SSID ssj0057067
Score 4.029866
SourceID chongqing
SourceType Publisher
StartPage 464
SubjectTerms 优化传感器布置
和声搜索算法
模态置信度准则
结构健康监测
门式起重机
Title 基于改进和声搜索算法识别门式起重机结构空间模态的传感器优化布置方法研究
URI http://lib.cqvip.com/qk/88140X/201506/665393686.html
Volume 16
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9NAEF6VcuGCKA8BBRQhFoEioyR27N3jOrXVVqKnIsKpSlpb5BIopBdOICrgUB6C0vKoaIFLKqSCRHk0BPFnYrv9F50ZG2MkVAGX1WR2_c23M3F2bGVnGTslfKOuG0LXZNm3NKM-VdKk9EuabviQjVtWcYpOazg_Zg5fMEar5WrfrtOZfy3NtOrnJm_8cV_J_0QVdBBX3CX7D5FNQUEBMsQXWogwtH8VY-6UuXS5rbhjYCsc7phcgiy5I7jtcmnTmBIXFRSUzu0CjSlwCRqL2wZXJRSUw6WFXbbOZRkvVy4XJl4lQAYciQOUQI1d4cIlEyBb2CUsLoYIuUJ8ANnmUieNw4VBJiR1EQ7YhS5AU0UURAFSWhwjFQ020IQiqvAR5oizkGSduiTRgElJYmgLLnQyOoQTQaMmOSGdjoVoMqVhZpNyGkb4KBQTcwo8Y5EAmGZGAEqKK8B0iYlSRGWIHAE8bISIGYBTwJ4A74hft08jPzoylh9tePnqiMpfqmnTDTzv6aJKSnslr2Di7afJemFaugY5cTVeTmMdPCRqRSs-ECZdZMzMzZRdMYy4iHuSfBjJmTa_lwA3sX6wbgqsLI_VkPrZbuXa9tjPlKNsFeio5JQNFgq5DNynIf3JpEvj-9je5Dknp-Iv7QDr85r72UCyklzPnUnKnZ89wBrBcqfXeRDOb2z-eBk8ngvefggfLUXrb6K1xfDj0833d4J777YW20H34eanL1t374dLnejbk_DVbLTa2VpcD9uvw5u3ohezve5KOLscPG_3us-CuYXg6-3o-1q4sAEg0cp8tPr5IDvpOuOVYS1lPXE1LrYykc5dP8T6m1ea3mGWq0lPCN-H35jaJPhPCsPzRU3Up4Rfk7pvHmGDOwAd3bF3kO3BEMdv2Y6x_ta1Ge845J2t-onE69uts3pm
link.rule.ids 315,786,790,4043
linkProvider Library Specific Holdings
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=%E5%9F%BA%E4%BA%8E%E6%94%B9%E8%BF%9B%E5%92%8C%E5%A3%B0%E6%90%9C%E7%B4%A2%E7%AE%97%E6%B3%95%E8%AF%86%E5%88%AB%E9%97%A8%E5%BC%8F%E8%B5%B7%E9%87%8D%E6%9C%BA%E7%BB%93%E6%9E%84%E7%A9%BA%E9%97%B4%E6%A8%A1%E6%80%81%E7%9A%84%E4%BC%A0%E6%84%9F%E5%99%A8%E4%BC%98%E5%8C%96%E5%B8%83%E7%BD%AE%E6%96%B9%E6%B3%95%E7%A0%94%E7%A9%B6&rft.jtitle=%E6%B5%99%E6%B1%9F%E5%A4%A7%E5%AD%A6%E5%AD%A6%E6%8A%A5%EF%BC%9AA%E5%8D%B7%E8%8B%B1%E6%96%87%E7%89%88&rft.au=Hui+JIN+Jie+XIA+Ya-qiong+WANG&rft.date=2015&rft.issn=1673-565X&rft.eissn=1862-1775&rft.volume=16&rft.issue=6&rft.spage=464&rft.epage=477&rft.externalDocID=665393686
thumbnail_s http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fimage.cqvip.com%2Fvip1000%2Fqk%2F88140X%2F88140X.jpg