Fuzzy genetic optimization on performance-based seismic design of reinforced concrete bridge piers with single-column type
This paper presents a fuzzy genetic optimization for performance-based seismic design (PBSD) of reinforced concrete (RC) bridge piers with single-column type. The design is modeled as a constrained optimization problem with the objective of minimizing construction cost subject to the constraints of...
Saved in:
Published in | Optimization and engineering Vol. 11; no. 3; pp. 471 - 496 |
---|---|
Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Boston
Springer US
01.09.2010
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
ISSN | 1389-4420 1573-2924 |
DOI | 10.1007/s11081-009-9092-4 |
Cover
Abstract | This paper presents a fuzzy genetic optimization for performance-based seismic design (PBSD) of reinforced concrete (RC) bridge piers with single-column type. The design is modeled as a constrained optimization problem with the objective of minimizing construction cost subject to the constraints of qualified structural capacity and suitable reinforcement arrangements for the designed RC pier. A violation of the constraints is combined with construction cost to serve as the objective function. The fuzzy logic control (FLC), which adapts the penalty coefficients in the genetic algorithm (GA) optimization solver, was employed to avoid a penalty that is too strong or too weak through the entire calculation so that a feasible solution can be obtained efficiently.
The reported results of cyclic loading tests for three piers with square section, rectangular section and circular section, respectively, were employed as the data-base of investigation. Furthermore, a case study on the PBSD of a square RC bridge pier with four required performance objectives (fully operational, operational, life safety and near collapse) corresponding to different peak ground accelerations (PGAs) of earthquakes was analyzed. Six feasible designs of the pier were determined successfully and the optimal one with minimum construction cost was obtained accordingly. The result obtained shows that the proposed algorithm gives an acceptable design for the PBSD of the RC bridge piers.
The superiorities of GA and FLC were incorporated and the availability of the proposed procedure was investigated. Moreover, through the proposed systematic design procedure, the discrepancy in the PBSD from different design engineers will be lessened effectively and the design efficiency as well as the design precision will also be enhanced significantly. |
---|---|
AbstractList | This paper presents a fuzzy genetic optimization for performance-based seismic design (PBSD) of reinforced concrete (RC) bridge piers with single-column type. The design is modeled as a constrained optimization problem with the objective of minimizing construction cost subject to the constraints of qualified structural capacity and suitable reinforcement arrangements for the designed RC pier. A violation of the constraints is combined with construction cost to serve as the objective function. The fuzzy logic control (FLC), which adapts the penalty coefficients in the genetic algorithm (GA) optimization solver, was employed to avoid a penalty that is too strong or too weak through the entire calculation so that a feasible solution can be obtained efficiently. The reported results of cyclic loading tests for three piers with square section, rectangular section and circular section, respectively, were employed as the data-base of investigation. Furthermore, a case study on the PBSD of a square RC bridge pier with four required performance objectives (fully operational, operational, life safety and near collapse) corresponding to different peak ground accelerations (PGAs) of earthquakes was analyzed. Six feasible designs of the pier were determined successfully and the optimal one with minimum construction cost was obtained accordingly. The result obtained shows that the proposed algorithm gives an acceptable design for the PBSD of the RC bridge piers. The superiorities of GA and FLC were incorporated and the availability of the proposed procedure was investigated. Moreover, through the proposed systematic design procedure, the discrepancy in the PBSD from different design engineers will be lessened effectively and the design efficiency as well as the design precision will also be enhanced significantly. This paper presents a fuzzy genetic optimization for performance-based seismic design (PBSD) of reinforced concrete (RC) bridge piers with single-column type. The design is modeled as a constrained optimization problem with the objective of minimizing construction cost subject to the constraints of qualified structural capacity and suitable reinforcement arrangements for the designed RC pier. A violation of the constraints is combined with construction cost to serve as the objective function. The fuzzy logic control (FLC), which adapts the penalty coefficients in the genetic algorithm (GA) optimization solver, was employed to avoid a penalty that is too strong or too weak through the entire calculation so that a feasible solution can be obtained efficiently. The reported results of cyclic loading tests for three piers with square section, rectangular section and circular section, respectively, were employed as the data-base of investigation. Furthermore, a case study on the PBSD of a square RC bridge pier with four required performance objectives (fully operational, operational, life safety and near collapse) corresponding to different peak ground accelerations (PGAs) of earthquakes was analyzed. Six feasible designs of the pier were determined successfully and the optimal one with minimum construction cost was obtained accordingly. The result obtained shows that the proposed algorithm gives an acceptable design for the PBSD of the RC bridge piers. The superiorities of GA and FLC were incorporated and the availability of the proposed procedure was investigated. Moreover, through the proposed systematic design procedure, the discrepancy in the PBSD from different design engineers will be lessened effectively and the design efficiency as well as the design precision will also be enhanced significantly. This paper presents a fuzzy genetic optimization for performance-based seismic design (PBSD) of reinforced concrete (RC) bridge piers with single-column type. The design is modeled as a constrained optimization problem with the objective of minimizing construction cost subject to the constraints of qualified structural capacity and suitable reinforcement arrangements for the designed RC pier. A violation of the constraints is combined with construction cost to serve as the objective function. The fuzzy logic control (FLC), which adapts the penalty coefficients in the genetic algorithm (GA) optimization solver, was employed to avoid a penalty that is too strong or too weak through the entire calculation so that a feasible solution can be obtained efficiently. The reported results of cyclic loading tests for three piers with square section, rectangular section and circular section, respectively, were employed as the data-base of investigation. Furthermore, a case study on the PBSD of a square RC bridge pier with four required performance objectives (fully operational, operational, life safety and near collapse) corresponding to different peak ground accelerations (PGAs) of earthquakes was analyzed. Six feasible designs of the pier were determined successfully and the optimal one with minimum construction cost was obtained accordingly. The result obtained shows that the proposed algorithm gives an acceptable design for the PBSD of the RC bridge piers. The superiorities of GA and FLC were incorporated and the availability of the proposed procedure was investigated. Moreover, through the proposed systematic design procedure, the discrepancy in the PBSD from different design engineers will be lessened effectively and the design efficiency as well as the design precision will also be enhanced significantly.[PUBLICATION ABSTRACT] |
Author | Sung, Yu-Chi Su, Chin-Kuo |
Author_xml | – sequence: 1 givenname: Yu-Chi surname: Sung fullname: Sung, Yu-Chi email: sungyc@ntut.edu.tw organization: Department of Civil Engineering, National Taipei University of Technology – sequence: 2 givenname: Chin-Kuo surname: Su fullname: Su, Chin-Kuo organization: Department of Civil Engineering, National Taipei University of Technology |
BookMark | eNp9kc1qFTEYhoNUsK1egLvgRjfR_M0kWUqxKhTc6DpkMt-MKTPJmGSQc7wZr8UrM_UIQsFCIIE8T_jevBfoLKYICD1n9DWjVL0pjFHNCKWGGGo4kY_QOeuUINxwedbOQhsiJadP0EUpt5SyvuP6HP243o_HA54hQg0ep62GNRxdDSnitjbIU8qrix7I4AqMuEAoayNHKGFuzIQzhNgg3y59ij5DBTzkMM6AtwC54O-hfv31s4Q4L0B8WvY14nrY4Cl6PLmlwLO_-yX6cv3u89UHcvPp_certzfEC00r4S2U7odODv0o3MiNEJ7y3nRsVBPQTnDj-SQn56mZvNaDkr2io3MKBOu8Epfo5endLadvO5Rq11A8LIuLkPZiDVVGaSN4I189SDKle6ZZz7uGvriH3qY9x5bDasWpEUqaBqkT5HMqJcNkfah_PrdmFxbLqL1rz57asy2ovWvPymaye-aWw-ry4UGHn5zS2DhD_jfS_6XfD_mwkg |
CitedBy_id | crossref_primary_10_1155_2021_8852203 crossref_primary_10_1016_j_jcsr_2024_108718 crossref_primary_10_1177_1369433218770819 crossref_primary_10_1007_s00202_014_0307_0 crossref_primary_10_1007_s10518_023_01762_3 crossref_primary_10_17714_gumusfenbil_1115693 crossref_primary_10_1007_s00366_020_01244_z crossref_primary_10_1007_s00707_022_03470_6 crossref_primary_10_1007_s42107_018_0058_8 crossref_primary_10_1007_s10518_021_01232_8 crossref_primary_10_1016_j_asoc_2014_09_032 crossref_primary_10_1016_j_istruc_2022_10_038 crossref_primary_10_46740_alku_1134295 crossref_primary_10_1016_j_engstruct_2020_111603 crossref_primary_10_1002_eqe_2193 crossref_primary_10_1002_suco_202000104 |
Cites_doi | 10.1061/(ASCE)0887-3801(2009)23:3(193) 10.1016/j.engstruct.2006.04.015 10.1016/S0019-9958(65)90241-X 10.1016/S0045-7949(01)00137-7 10.12989/sem.2005.21.1.035 10.1016/j.advengsoft.2007.03.003 10.1016/j.engstruct.2005.08.015 10.1016/j.engstruct.2005.04.001 10.1061/(ASCE)0733-9445(2000)126:5(596) 10.1061/(ASCE)0887-3801(1996)10:2(143) |
ContentType | Journal Article |
Copyright | Springer Science+Business Media, LLC 2009 Springer Science+Business Media, LLC 2010 |
Copyright_xml | – notice: Springer Science+Business Media, LLC 2009 – notice: Springer Science+Business Media, LLC 2010 |
DBID | AAYXX CITATION 7TB 8FD FR3 KR7 7QQ 7SM JG9 |
DOI | 10.1007/s11081-009-9092-4 |
DatabaseName | CrossRef Mechanical & Transportation Engineering Abstracts Technology Research Database Engineering Research Database Civil Engineering Abstracts Ceramic Abstracts Earthquake Engineering Abstracts Materials Research Database |
DatabaseTitle | CrossRef Civil Engineering Abstracts Engineering Research Database Technology Research Database Mechanical & Transportation Engineering Abstracts Earthquake Engineering Abstracts Materials Research Database Ceramic Abstracts |
DatabaseTitleList | Earthquake Engineering Abstracts Earthquake Engineering Abstracts Civil Engineering Abstracts |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Engineering Mathematics |
EISSN | 1573-2924 |
EndPage | 496 |
ExternalDocumentID | 2376500731 10_1007_s11081_009_9092_4 |
Genre | Feature |
GroupedDBID | -5D -5G -BR -EM -Y2 -~C .86 .DC .VR 06D 0R~ 0VY 123 1N0 1SB 203 29N 2J2 2JN 2JY 2KG 2LR 2P1 2VQ 2~H 30V 4.4 406 408 409 40D 40E 5VS 67Z 6NX 8TC 8UJ 95- 95. 95~ 96X AAAVM AABHQ AACDK AAHNG AAIAL AAJBT AAJKR AANZL AARHV AARTL AASML AATNV AATVU AAUYE AAWCG AAYIU AAYQN AAYTO AAYZH ABAKF ABBBX ABBXA ABDZT ABECU ABFSI ABFTD ABFTV ABHLI ABHQN ABJNI ABJOX ABKCH ABKTR ABMNI ABMQK ABNWP ABQBU ABQSL ABSXP ABTEG ABTHY ABTKH ABTMW ABULA ABWNU ABXPI ACAOD ACBXY ACDTI ACGFO ACGFS ACHSB ACHXU ACIWK ACKNC ACMDZ ACMLO ACOKC ACOMO ACPIV ACREN ACSNA ACZOJ ADHHG ADHIR ADINQ ADKNI ADKPE ADRFC ADTPH ADURQ ADYFF ADYOE ADZKW AEBTG AEFQL AEGAL AEGNC AEJHL AEJRE AEKMD AEMSY AENEX AEOHA AEPYU AESKC AETLH AEVLU AEXYK AFBBN AFGCZ AFLOW AFQWF AFWTZ AFYQB AFZKB AGAYW AGDGC AGJBK AGMZJ AGQEE AGQMX AGRTI AGWIL AGWZB AGYKE AHAVH AHBYD AHKAY AHSBF AHYZX AIAKS AIGIU AIIXL AILAN AITGF AJBLW AJRNO AJZVZ ALMA_UNASSIGNED_HOLDINGS ALWAN AMKLP AMTXH AMXSW AMYLF AMYQR AOCGG ARMRJ ASPBG AVWKF AXYYD AYJHY AZFZN B-. BA0 BAPOH BDATZ BGNMA BSONS CAG COF CS3 CSCUP DDRTE DL5 DNIVK DPUIP DU5 EBLON EBS EIOEI EJD ESBYG FEDTE FERAY FFXSO FIGPU FINBP FNLPD FRRFC FSGXE FWDCC GGCAI GGRSB GJIRD GNWQR GQ6 GQ7 GQ8 GXS H13 HF~ HG5 HG6 HMJXF HQYDN HRMNR HVGLF HZ~ I09 IHE IJ- IKXTQ IWAJR IXC IXD IXE IZIGR IZQ I~X I~Z J-C J0Z J9A JBSCW JCJTX JZLTJ KDC KOV LAK LLZTM M4Y MA- N2Q N9A NB0 NPVJJ NQJWS NU0 O9- O93 O9J OAM OVD P2P P9R PF0 PT4 Q2X QOS R89 R9I RNI RNS ROL RPX RSV RZC RZE S16 S1Z S27 S3B SAP SDH SHX SISQX SJYHP SMT SNE SNPRN SNX SOHCF SOJ SPISZ SRMVM SSLCW STPWE SZN T13 TEORI TSG TSK TSV TUC U2A UG4 UOJIU UTJUX UZXMN VC2 VFIZW W23 W48 WK8 YLTOR Z45 Z7R Z7S Z7X Z7Y Z7Z Z83 Z88 ZMTXR ~A9 AAPKM AAYXX ABBRH ABDBE ABFSG ACMFV ACSTC ADHKG AEZWR AFDZB AFHIU AFOHR AGQPQ AHPBZ AHWEU AIXLP ATHPR AYFIA CITATION 7TB 8FD ABRTQ FR3 KR7 7QQ 7SM JG9 |
ID | FETCH-LOGICAL-c380t-200986b54b6d3ad2933c026951d7fe05329c2f4fac09fc88b74670daa7e315c73 |
IEDL.DBID | AGYKE |
ISSN | 1389-4420 |
IngestDate | Fri Sep 05 14:13:59 EDT 2025 Thu Sep 04 15:56:14 EDT 2025 Fri Jul 25 11:11:06 EDT 2025 Tue Jul 01 00:39:59 EDT 2025 Thu Apr 24 22:59:26 EDT 2025 Fri Feb 21 02:33:02 EST 2025 |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 3 |
Keywords | Structural performance Minimum construction cost Penalty coefficient Pushover analysis |
Language | English |
License | http://www.springer.com/tdm |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c380t-200986b54b6d3ad2933c026951d7fe05329c2f4fac09fc88b74670daa7e315c73 |
Notes | SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 ObjectType-Article-2 |
PQID | 872093749 |
PQPubID | 23500 |
PageCount | 26 |
ParticipantIDs | proquest_miscellaneous_907978932 proquest_miscellaneous_1786181625 proquest_journals_872093749 crossref_citationtrail_10_1007_s11081_009_9092_4 crossref_primary_10_1007_s11081_009_9092_4 springer_journals_10_1007_s11081_009_9092_4 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2010-09-01 |
PublicationDateYYYYMMDD | 2010-09-01 |
PublicationDate_xml | – month: 09 year: 2010 text: 2010-09-01 day: 01 |
PublicationDecade | 2010 |
PublicationPlace | Boston |
PublicationPlace_xml | – name: Boston – name: Dordrecht |
PublicationSubtitle | International Multidisciplinary Journal to Promote Optimization Theory & Applications in Engineering Sciences |
PublicationTitle | Optimization and engineering |
PublicationTitleAbbrev | Optim Eng |
PublicationYear | 2010 |
Publisher | Springer US Springer Nature B.V |
Publisher_xml | – name: Springer US – name: Springer Nature B.V |
References | Nagaya K, Kawashima K (2001) Effect of aspect ratio and longitudinal reinforcement diameter on seismic performance of reinforced concrete bridge columns. Report no TIT/EERG 01, Institute of Technology, Tokyo, Japan SEAOC (1995) Performance-Based Seismic Engineering of Buildings, Structural Association of California, Sacramento, CA, USA PourzeynaliSLavasaniHHModarayiAHActive control of high rise building structures using fuzzy logic and genetic algorithmsEng Struct20072934635710.1016/j.engstruct.2006.04.015 Chang KC (1999) Seismic investigation of bridge damage in Chi–Chi Earthquake. Report no NCREE-90-055, National Center for Research on Earthquake Engineering, Taipei, Taiwan Chang KC, Chang HF (1999) Seismic retrofit study of rectangular bridge column with CFRP jackets. Report no NCREE-00-030, National Center for Research on Earthquake Engineering, Taipei, Taiwan SarmaKCAdeliHFuzzy genetic algorithm for optimization of steel structuresJ Struct Eng ASCE2000126559660410.1061/(ASCE)0733-9445(2000)126:5(596) SungYCLiuKYSuCKTsaiICChangKCA study on pushover analyses of reinforced concrete columnsJ Struct Eng Mech20052113552 Chung LL (2000) Seismic retrofit study of RC bridge columns. Report no NCREE-00-035, National Center for Research on Earthquake Engineering Taipei, Taiwan NanakornPMessomklinKAn adaptive penalty function in genetic algorithms for structural design optimizationJ Comput Struct2001792527253910.1016/S0045-7949(01)00137-7 HarpDRTahaMRRossTJGenetic-fuzzy approach for modeling complex systems with an example application in masonry bond strength predictionJ Comput Civil Eng20092319319910.1061/(ASCE)0887-3801(2009)23:3(193) KelesogluOFuzzy multiobjective optimization of truss-structures using genetic algorithmAdv Eng Softw20073871772110.1016/j.advengsoft.2007.03.003 SohCKYangJFuzzy controlled genetic algorithm search for shape optimizationJ Comput Civil Eng ASCE199610214315010.1061/(ASCE)0887-3801(1996)10:2(143) XueQWuCWPreliminary detailing for displacement-based seismic design of buildingsJ Eng Struct200628343144010.1016/j.engstruct.2005.08.0152265429 ZadehLAFuzzy setsJ Inf Control196583383530139.2460610.1016/S0019-9958(65)90241-X219427 HauptRLHauptSEPractical genetic algorithms20042New JerseyWiley1072.68089 SungYCLinTWTsaiICChangSYLaiMCApplication of normalized spectral acceleration-displacement (NSAD) format on performance-based seismic design of bridge structuresJ Mech20072328693 ATC-40 (1996) Seismic Evaluation and Retrofit of Concrete Building, Applied Technology Council, Redwood City, California ACI Committee 318x (2005) Building code requirements for reinforced concrete and commentary (ACI 318-05), American Concrete Institute, Farmington Hill, USA BazaraaMSShettyCMNonlinear programming: theory and algorithms1979New YorkWiley0476.90035 ZouXKChanCMOptimal seismic performance-based design of reinforced concrete buildings using nonlinear pushover analysisJ Eng Struct2005271289130210.1016/j.engstruct.2005.04.001 P Nanakorn (9092_CR11) 2001; 79 MS Bazaraa (9092_CR3) 1979 LA Zadeh (9092_CR19) 1965; 8 KC Sarma (9092_CR13) 2000; 126 9092_CR14 9092_CR6 9092_CR5 DR Harp (9092_CR7) 2009; 23 YC Sung (9092_CR16) 2005; 21 9092_CR4 9092_CR2 9092_CR1 YC Sung (9092_CR17) 2007; 23 O Kelesoglu (9092_CR9) 2007; 38 RL Haupt (9092_CR8) 2004 XK Zou (9092_CR20) 2005; 27 CK Soh (9092_CR15) 1996; 10 9092_CR10 Q Xue (9092_CR18) 2006; 28 S Pourzeynali (9092_CR12) 2007; 29 |
References_xml | – reference: Chang KC, Chang HF (1999) Seismic retrofit study of rectangular bridge column with CFRP jackets. Report no NCREE-00-030, National Center for Research on Earthquake Engineering, Taipei, Taiwan – reference: KelesogluOFuzzy multiobjective optimization of truss-structures using genetic algorithmAdv Eng Softw20073871772110.1016/j.advengsoft.2007.03.003 – reference: PourzeynaliSLavasaniHHModarayiAHActive control of high rise building structures using fuzzy logic and genetic algorithmsEng Struct20072934635710.1016/j.engstruct.2006.04.015 – reference: ATC-40 (1996) Seismic Evaluation and Retrofit of Concrete Building, Applied Technology Council, Redwood City, California – reference: SEAOC (1995) Performance-Based Seismic Engineering of Buildings, Structural Association of California, Sacramento, CA, USA – reference: Chung LL (2000) Seismic retrofit study of RC bridge columns. Report no NCREE-00-035, National Center for Research on Earthquake Engineering Taipei, Taiwan – reference: SarmaKCAdeliHFuzzy genetic algorithm for optimization of steel structuresJ Struct Eng ASCE2000126559660410.1061/(ASCE)0733-9445(2000)126:5(596) – reference: ZadehLAFuzzy setsJ Inf Control196583383530139.2460610.1016/S0019-9958(65)90241-X219427 – reference: ACI Committee 318x (2005) Building code requirements for reinforced concrete and commentary (ACI 318-05), American Concrete Institute, Farmington Hill, USA – reference: HauptRLHauptSEPractical genetic algorithms20042New JerseyWiley1072.68089 – reference: BazaraaMSShettyCMNonlinear programming: theory and algorithms1979New YorkWiley0476.90035 – reference: NanakornPMessomklinKAn adaptive penalty function in genetic algorithms for structural design optimizationJ Comput Struct2001792527253910.1016/S0045-7949(01)00137-7 – reference: SungYCLinTWTsaiICChangSYLaiMCApplication of normalized spectral acceleration-displacement (NSAD) format on performance-based seismic design of bridge structuresJ Mech20072328693 – reference: HarpDRTahaMRRossTJGenetic-fuzzy approach for modeling complex systems with an example application in masonry bond strength predictionJ Comput Civil Eng20092319319910.1061/(ASCE)0887-3801(2009)23:3(193) – reference: XueQWuCWPreliminary detailing for displacement-based seismic design of buildingsJ Eng Struct200628343144010.1016/j.engstruct.2005.08.0152265429 – reference: Chang KC (1999) Seismic investigation of bridge damage in Chi–Chi Earthquake. Report no NCREE-90-055, National Center for Research on Earthquake Engineering, Taipei, Taiwan – reference: SungYCLiuKYSuCKTsaiICChangKCA study on pushover analyses of reinforced concrete columnsJ Struct Eng Mech20052113552 – reference: Nagaya K, Kawashima K (2001) Effect of aspect ratio and longitudinal reinforcement diameter on seismic performance of reinforced concrete bridge columns. Report no TIT/EERG 01, Institute of Technology, Tokyo, Japan – reference: SohCKYangJFuzzy controlled genetic algorithm search for shape optimizationJ Comput Civil Eng ASCE199610214315010.1061/(ASCE)0887-3801(1996)10:2(143) – reference: ZouXKChanCMOptimal seismic performance-based design of reinforced concrete buildings using nonlinear pushover analysisJ Eng Struct2005271289130210.1016/j.engstruct.2005.04.001 – ident: 9092_CR6 – ident: 9092_CR14 – ident: 9092_CR4 – ident: 9092_CR5 – volume: 23 start-page: 193 year: 2009 ident: 9092_CR7 publication-title: J Comput Civil Eng doi: 10.1061/(ASCE)0887-3801(2009)23:3(193) – volume: 29 start-page: 346 year: 2007 ident: 9092_CR12 publication-title: Eng Struct doi: 10.1016/j.engstruct.2006.04.015 – volume-title: Practical genetic algorithms year: 2004 ident: 9092_CR8 – volume: 8 start-page: 338 year: 1965 ident: 9092_CR19 publication-title: J Inf Control doi: 10.1016/S0019-9958(65)90241-X – ident: 9092_CR1 – ident: 9092_CR2 – ident: 9092_CR10 – volume: 79 start-page: 2527 year: 2001 ident: 9092_CR11 publication-title: J Comput Struct doi: 10.1016/S0045-7949(01)00137-7 – volume-title: Nonlinear programming: theory and algorithms year: 1979 ident: 9092_CR3 – volume: 21 start-page: 35 issue: 1 year: 2005 ident: 9092_CR16 publication-title: J Struct Eng Mech doi: 10.12989/sem.2005.21.1.035 – volume: 23 start-page: 86 issue: 2 year: 2007 ident: 9092_CR17 publication-title: J Mech – volume: 38 start-page: 717 year: 2007 ident: 9092_CR9 publication-title: Adv Eng Softw doi: 10.1016/j.advengsoft.2007.03.003 – volume: 28 start-page: 431 issue: 3 year: 2006 ident: 9092_CR18 publication-title: J Eng Struct doi: 10.1016/j.engstruct.2005.08.015 – volume: 27 start-page: 1289 year: 2005 ident: 9092_CR20 publication-title: J Eng Struct doi: 10.1016/j.engstruct.2005.04.001 – volume: 126 start-page: 596 issue: 5 year: 2000 ident: 9092_CR13 publication-title: J Struct Eng ASCE doi: 10.1061/(ASCE)0733-9445(2000)126:5(596) – volume: 10 start-page: 143 issue: 2 year: 1996 ident: 9092_CR15 publication-title: J Comput Civil Eng ASCE doi: 10.1061/(ASCE)0887-3801(1996)10:2(143) |
SSID | ssj0016528 |
Score | 1.9833055 |
Snippet | This paper presents a fuzzy genetic optimization for performance-based seismic design (PBSD) of reinforced concrete (RC) bridge piers with single-column type.... |
SourceID | proquest crossref springer |
SourceType | Aggregation Database Enrichment Source Index Database Publisher |
StartPage | 471 |
SubjectTerms | Bridge piers Bridges (structures) Control Design engineering Engineering Environmental Management Financial Engineering Fuzzy logic Genetic algorithms Mathematical models Mathematics Mathematics and Statistics Operations Research/Decision Theory Optimization Piers Reinforced concrete Systems Theory |
Title | Fuzzy genetic optimization on performance-based seismic design of reinforced concrete bridge piers with single-column type |
URI | https://link.springer.com/article/10.1007/s11081-009-9092-4 https://www.proquest.com/docview/872093749 https://www.proquest.com/docview/1786181625 https://www.proquest.com/docview/907978932 |
Volume | 11 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1Lb9QwEB7R7QUOvBGhUBmJE8hVHo4dH1eoSwUqp65UTlH8khBtdtVkDyx_ht_CL2Mmjw1UFKlSLpEnsePMeD57XgBvCi2VQ1bh1rnARRpnvEqC4JWW3pqgZJ5TgPPpZ3myFB_P8_MhjrsZvd1Hk2S3Uk_BbgmqL06H-TrWKRd7sJ8nhS5msD__8OXT8c54IPOupCqZ4LjA7kdj5r9e8rc6mjDmNbNop20WD-BsHGfvZPLtaNOaI7u9lsLxlh_yEO4P6JPNe3Z5BHd8_Rju_ZGTEO9Od4lcmyfwY7HZbr8z5DIKdmQrXGAuh8hNhtd6CjvgpA8da_zX5hIpXecZwlaBXfkuOavFRtx7I0htPevDxNia6nAzOgr-9ZPOLC48t7Ra1oxOhp_CcnF89v6ED_UauM2KuCWB04U0uTDSZZVDIJFZ3OIhhnMqdCUotE2DCJWNdbBFYajUSeyqSvksya3KnsGsXtX-OTCHehVbTKoQ4qXKGFERtlNp8JK4K4J4_G2lHZKZU02Ni3JKw0yzXOKQSprlUkTwdvfIus_k8T_ig5EXykGom7JQaYxoTugIXu9aURrJxFLVfrVpykQVEjETbiojYDfQ6Fjh1h1xcwTvRgaZOrlxSC9uRX0Ad3s_B_KGewmz9mrjXyF8as3hIC6HsLdM578BhY4TaQ |
linkProvider | Springer Nature |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1Lb9QwEB7B9gAcyluEUjASJ5Arb-LE8bFCXRba7WkrlVOU-CFVtNlVkz2w_Bl-S38ZM3lsaEWRKuUS2YkdZ-z55g3wIdWJskgq3FjruQxFxPOxlzzXiTOFV0kcU4Dz7DiZnshvp_FpF8dd9d7uvUmyOamHYLcxsi9OynwtdMjlfdiSKIKLEWztf_l-eLAxHiRxU1KVTHBc4vC9MfNfL7nOjgaMecMs2nCbyWOY9_NsnUx-7K3qYs-sb6RwvOOHPIHtDn2y_ZZcnsI9Vz6DR3_lJMS72SaRa_Ucfk1W6_VPhlRGwY5sgQfMRRe5yfBaDmEHnPihZZU7qy6wp208Q9jCs0vXJGc12IiyN4LU2rE2TIwtqQ43I1Xw1W_SWZw7bui0LBlphl_AyeRg_nnKu3oN3ESpqGnD6TQpYlkkNsotAonIoIiHGM4q35Sg0Cb00udGaG_StKBSJ8LmuXLRODYqegmjclG6V8As8lVsKUKFEC9URSFzwnYq9C4h6gpA9L8tM10yc6qpcZ4NaZhplTOcUkarnMkAPm4eWbaZPP7Xeaenhazb1FWWqlAgmpM6gPebVtyNZGLJS7dYVdlYpQliJhQqA2C39NFCoeiOuDmATz2BDIPcOqXXd-r9Dh5M57Oj7Ojr8eEOPGx9Hsgz7g2M6suV20UoVRdvu63zB-dlFV0 |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1ba9VAEB5qC6IPpd4wVusKPilLc9nsZh-L9lBbW3zwQN-WZC8gtDmHJufB-mf8Lf6yzuRyotIKQl7CTpIlM7vz7VwB3hZaKoeiwq1zgYs0zniZBMFLLb2tgpJ5TgnOp2fyaC6Oz_Pzoc9pM0a7jy7JPqeBqjTV7f7Shf0p8S1BVcbJsK9jnXJxD7ZwN05I0OfpwdqNIPOuuSo547jAiYxuzdte8adimtDmXw7STu_MdmB7AIzsoOfwI9jw9WN4-FsZQbw7XddebZ7Aj9nq-vo7Q8Gg_ES2wD3hcki2ZHgtp0wBTirMscZ_ay6R0nXBHGwR2JXv6qlaHMT_griy9azP7GJLap3NyHr76yeZGS48t7TB1YyMuU9hPjv8-uGIDy0WuM2KuKU1ogtZ5aKSLisd6v7M4qkMYZdToesaoW0aRChtrIMtioq6k8SuLJXPktyq7Bls1ovaPwfmUBXiSJUqRGWpqipREhxTafCSBCKCePy_xg71x6kNxoWZKicTSwxOyRBLjIjg3fqRZV9841_EuyPTzLAOG1OoNEYAJnQEb9ajuIDIK1LWfrFqTKIKiTAHz4ERsDtodKzwtI1QN4L3ozhMH7lzSi_-i_o13P_ycWY-fzo72YUHfZQCxbK9hM32auVfIfhpq71OwG8AhcD8xw |
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=Fuzzy+genetic+optimization+on+performance-based+seismic+design+of+reinforced+concrete+bridge+piers+with+single-column+type&rft.jtitle=Optimization+and+engineering&rft.au=Sung%2C+Yu-Chi&rft.au=Su%2C+Chin-Kuo&rft.date=2010-09-01&rft.issn=1389-4420&rft.eissn=1573-2924&rft.volume=11&rft.issue=3&rft.spage=471&rft.epage=496&rft_id=info:doi/10.1007%2Fs11081-009-9092-4&rft.externalDBID=NO_FULL_TEXT |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1389-4420&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1389-4420&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1389-4420&client=summon |