{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,16]],"date-time":"2024-09-16T10:00:28Z","timestamp":1726480828446},"reference-count":50,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2018,11,26]],"date-time":"2018-11-26T00:00:00Z","timestamp":1543190400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100006338","name":"Vlaamse Interuniversitaire Raad","doi-asserted-by":"publisher","award":["VN2018TEA479A103"],"id":[{"id":"10.13039\/501100006338","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"Vibration-based structural health monitoring (SHM) for long-span bridges has become a dominant research topic in recent years. The Nam O Railway Bridge is a large-scale steel truss bridge located on the unique main rail track from the north to the south of Vietnam. An extensive vibration measurement campaign and model updating are extremely necessary to build a reliable model for health condition assessment and operational safety management of the bridge. The experimental measurements are carried out under ambient vibrations using piezoelectric sensors, and a finite element (FE) model is created in MATLAB to represent the physical behavior of the structure. By model updating, the discrepancies between the experimental and the numerical results are minimized. For the success of the model updating, the efficiency of the optimization algorithm is essential. Particle swarm optimization (PSO) algorithm and genetic algorithm (GA) are employed to update the unknown model parameters. The result shows that PSO not only provides a better accuracy between the numerical model and measurements, but also reduces the computational cost compared to GA. This study focuses on the stiffness conditions of typical joints of truss structures. According to the results, the assumption of semi-rigid joints (using rotational springs) can most accurately represent the dynamic characteristics of the truss bridge considered.<\/jats:p>","DOI":"10.3390\/s18124131","type":"journal-article","created":{"date-parts":[[2018,11,26]],"date-time":"2018-11-26T08:24:27Z","timestamp":1543220667000},"page":"4131","source":"Crossref","is-referenced-by-count":127,"title":["Model Updating for Nam O Bridge Using Particle Swarm Optimization Algorithm and Genetic Algorithm"],"prefix":"10.3390","volume":"18","author":[{"given":"H.","family":"Tran-Ngoc","sequence":"first","affiliation":[{"name":"Department of Electrical Energy, Metals, Mechanical Constructions, and Systems, Faculty of Engineering and Architecture, Ghent University, 9000 Gent, Belgium"},{"name":"Department of Bridge and Tunnel Engineering, Faculty of Civil Engineering, University of Transport and Communications, Hanoi, Vietnam"}]},{"given":"S.","family":"Khatir","sequence":"additional","affiliation":[{"name":"Department of Electrical Energy, Metals, Mechanical Constructions, and Systems, Faculty of Engineering and Architecture, Ghent University, 9000 Gent, Belgium"}]},{"given":"G.","family":"De Roeck","sequence":"additional","affiliation":[{"name":"KU Leuven, Department of Civil Engineering, B-3001 Leuven, Belgium"}]},{"given":"T.","family":"Bui-Tien","sequence":"additional","affiliation":[{"name":"Department of Bridge and Tunnel Engineering, Faculty of Civil Engineering, University of Transport and Communications, Hanoi, Vietnam"}]},{"given":"L.","family":"Nguyen-Ngoc","sequence":"additional","affiliation":[{"name":"Department of Bridge and Tunnel Engineering, Faculty of Civil Engineering, University of Transport and Communications, Hanoi, Vietnam"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-3610-865X","authenticated-orcid":false,"given":"M.","family":"Abdel Wahab","sequence":"additional","affiliation":[{"name":"Institute of Research and Development, Duy Tan University, 03 Quang Trung, Da Nang, Vietnam"},{"name":"Soete Laboratory, Faculty of Engineering and Architecture, Ghent University, Technologiepark Zwijnaarde 903, B-9052 Zwijnaarde, Belgium"}]}],"member":"1968","published-online":{"date-parts":[[2018,11,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Qin, S., Zhou, Y.L., Cao, H., and Wahab, M.A. (2018). Model updating in complex bridge structures using kriging model ensemble with genetic algorithm. KSCE J. Civ. Eng., 1\u201312.","DOI":"10.1007\/s12205-017-1107-7"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Wu, B., Lu, H., Chen, B., and Gao, Z. (2017). Study on finite element model updating in highway bridge static loading test using spatially-distributed optical fiber sensors. Sensors, 17.","DOI":"10.3390\/s17071657"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"04015019","DOI":"10.1061\/(ASCE)BE.1943-5592.0000765","article-title":"Model updating of railway bridge using in situ dynamic displacement measurement under trainloads","volume":"20","author":"Feng","year":"2015","journal-title":"J. Bridge Eng."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"373","DOI":"10.12989\/sss.2010.6.4.373","article-title":"Finite element model updating of K\u00f6m\u00fcrhan highway bridge based on experimental measurements","volume":"6","author":"Bayraktar","year":"2010","journal-title":"Smart Struct. Syst."},{"key":"ref_5","first-page":"29","article-title":"Modal identification and finite element model updating of a reinforced concrete bridge","volume":"9","author":"Smaoui","year":"2004","journal-title":"Emir. J. Eng. Res."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1061\/(ASCE)1084-0702(2003)8:3(162)","article-title":"Assessment of highway bridge upgrading by dynamic testing and finite-element model updating","volume":"8","author":"Brownjohn","year":"2003","journal-title":"J. Bridge Eng."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1007\/s11859-008-0117-1","article-title":"Finite element model updating of bridge structures based on sensitivity analysis and optimization algorithm","volume":"13","author":"Minshui","year":"2008","journal-title":"Wuhan Univ. J. Nat. Sci."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Asadollahi, P., Huang, Y., and Li, J. (2018). Bayesian Finite Element Model Updating and Assessment of Cable-Stayed Bridges Using Wireless Sensor Data. Sensors, 18.","DOI":"10.3390\/s18093057"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1061\/(ASCE)1084-0702(2001)6:4(285)","article-title":"Finite-element model updating for the Kap Shui Mun cable-stayed bridge","volume":"6","author":"Zhang","year":"2001","journal-title":"J. Bridge Eng."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"2455","DOI":"10.1016\/j.engstruct.2010.04.019","article-title":"Finite element model updating in structural dynamics by using the response surface method","volume":"32","author":"Ren","year":"2010","journal-title":"Eng. Struct."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1061\/(ASCE)CF.1943-5509.0000060","article-title":"Finite-element analysis and vibration testing of a two-span masonry arch bridge","volume":"24","author":"Bayraktar","year":"2009","journal-title":"J. Perform. Constr. Facil."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"589","DOI":"10.1016\/j.jsv.2003.10.041","article-title":"Structural damage identification of the highway bridge Z24 by FE model updating","volume":"278","author":"Teughels","year":"2004","journal-title":"J. Sound Vib."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1477","DOI":"10.1016\/j.engstruct.2009.02.011","article-title":"Improved bridge evaluation through finite element model updating using static and dynamic measurements","volume":"31","author":"Schlune","year":"2009","journal-title":"Eng. Struct."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1016\/j.engstruct.2018.09.070","article-title":"Damage assessment in structures using combination of a modified Cornwell indicator and genetic algorithm","volume":"177","author":"Tiachacht","year":"2018","journal-title":"Eng. Struct."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"344","DOI":"10.1016\/j.compstruct.2017.12.058","article-title":"Damage detection in CFRP composite beams based on vibration analysis using proper orthogonal decomposition method with radial basis functions and cuckoo search algorithm","volume":"187","author":"Samir","year":"2018","journal-title":"Compos. Struct."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Khatir, S., and Wahab, M.A. (2018). Fast simulations for solving fracture mechanics inverse problems using POD-RBF XIGA and Jaya algorithm. Eng. Fract. Mech.","DOI":"10.1016\/j.engfracmech.2018.09.032"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Yuan, X.X., and Zhang, R.H. (2011, January 23\u201325). An energy-efficient mobile sink routing algorithm for wireless sensor networks. Proceedings of the 2011 7th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM), Wuhan, China.","DOI":"10.1109\/wicom.2011.6040374"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Hou, W., Jin, Y., Zhu, C., and Li, G. (2016). A novel maximum power point tracking algorithm based on glowworm swarm optimization for photovoltaic systems. Int. J. Photoenergy.","DOI":"10.1155\/2016\/4910862"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1007\/s10704-017-0210-6","article-title":"Stochastic analysis of the fracture toughness of polymeric nanoparticle composites using polynomial chaos expansions","volume":"206","author":"Hamdia","year":"2017","journal-title":"Int. J. Fract."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1016\/j.compscitech.2016.02.012","article-title":"Fracture toughness of polymeric particle nanocomposites: Evaluation of models performance using Bayesian method","volume":"126","author":"Hamdia","year":"2016","journal-title":"Compos. Sci. Technol."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Qin, S., Zhang, Y., Zhou, Y.L., and Kang, J. (2018). Dynamic Model Updating for Bridge Structures Using the Kriging Model and PSO Algorithm Ensemble with Higher Vibration Modes. Sensors, 18.","DOI":"10.3390\/s18061879"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"481","DOI":"10.1080\/15732479.2011.564635","article-title":"Finite element model updating on small-scale bridge model using the hybrid genetic algorithm","volume":"9","author":"Jung","year":"2013","journal-title":"Struct. Infrastruct. Eng."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"553","DOI":"10.1061\/(ASCE)BE.1943-5592.0000092","article-title":"Bridge model updating using response surface method and genetic algorithm","volume":"15","author":"Deng","year":"2009","journal-title":"J. Bridge Eng."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"27","DOI":"10.2749\/101686616X14480232444405","article-title":"Finite Element Model Updating of Canonica Bridge Using Experimental Modal Data and Genetic Algorithm","volume":"26","author":"Liu","year":"2016","journal-title":"Struct. Eng. Int."},{"key":"ref_25","first-page":"280","article-title":"Finite element model updating of a tied-arch bridge using Douglas-Reid method and Rosenbrock optimization algorithm","volume":"1","author":"Zordan","year":"2014","journal-title":"J. Traffic Transp. Eng. (Engl. Ed.)"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1016\/j.proeng.2017.04.499","article-title":"Vibration-based model updating and identification of multiple axial forces in truss structures","volume":"188","author":"Luong","year":"2017","journal-title":"Procedia Eng."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1016\/S0263-8231(97)00028-1","article-title":"Cold-formed steel trusses with semi-rigid joints","volume":"29","author":"Dubina","year":"1997","journal-title":"Thin-Walled Struct."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"9","DOI":"10.3311\/pp.ci.2007-1.02","article-title":"Optimal design of frame structures with semi-rigid joints","volume":"51","year":"2007","journal-title":"Period. Polytech. Civ. Eng."},{"key":"ref_29","unstructured":"Bui, T., Reynders, E., Lombaert, G., and De Roeck, G. (2013, January 8\u201310). Recent Advances in Environmental Vibration. Proceedings of the 6th International Symposium on Environmental Vibration (ISEV 2013), Shanghai, China."},{"key":"ref_30","unstructured":"Reynders, E., Schevenels, M., and Roeck, G.D. (2011). MACEC 3.2: A Matlab Toolbox for Experimental and Operational Modal Analysis, Leuven University. User\u2019s Manual; Report BWM-2011-XX."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"948","DOI":"10.1016\/j.ymssp.2007.10.009","article-title":"Uncertainty bounds on modal parameters obtained from stochastic subspace identification","volume":"22","author":"Reynders","year":"2008","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"617","DOI":"10.1016\/j.ymssp.2007.09.004","article-title":"Reference-based combined deterministic\u2013stochastic subspace identification for experimental and operational modal analysis","volume":"22","author":"Reynders","year":"2008","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"855","DOI":"10.1006\/mssp.1999.1249","article-title":"Reference-based stochastic subspace identification for output-only modal analysis","volume":"13","author":"Peeters","year":"1999","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_34","unstructured":"Dooms, D., Jansen, M., De Roeck, G., Degrande, G., Lombaert, G., Schevenels, M., and Fran\u00e7ois, S. (2010). StaBIL: A Finite Element Toolbox for Matlab, Structural Mechanics Section of the Department of Civil Engineering, KU Leuven. [2.0 ed.]."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1061\/(ASCE)0733-9445(2006)132:2(182)","article-title":"Pinned connection strength and behavior","volume":"132","author":"Duerr","year":"2006","journal-title":"J. Struct. Eng."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"4393","DOI":"10.1016\/j.ijsolstr.2005.01.009","article-title":"Unified classification of stability of pin-jointed bar assemblies","volume":"42","author":"Deng","year":"2005","journal-title":"Int. J. Solids Struct."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"2599","DOI":"10.1061\/(ASCE)0733-9445(1990)116:10(2599)","article-title":"Optimum design of pin-jointed steel structures with practical applications","volume":"116","author":"Saka","year":"1990","journal-title":"J. Struct. Eng."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"543","DOI":"10.1016\/j.proeng.2012.09.551","article-title":"Modal assurance criterion","volume":"48","author":"Pastor","year":"2012","journal-title":"Procedia Eng."},{"key":"ref_39","unstructured":"Vacher, P., Jacquier, B., and Bucharles, A. (2010, January 20\u201322). Extensions of the MAC criterion to complex modes. Proceedings of the International Conference on Noise and Vibration Engineering, Leuven, Belgium."},{"key":"ref_40","unstructured":"Eberhart, R., and Kennedy, J. (1995, January 4\u20136). A new optimizer using particle swarm theory. Proceedings of the Sixth International Symposium, Nagoya, Japan."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1016\/j.crme.2017.11.008","article-title":"Crack identification method in beam-like structures using changes in experimentally measured frequencies and Particle Swarm Optimization","volume":"346","author":"Khatir","year":"2018","journal-title":"C. R. M\u00e9c."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"792","DOI":"10.1080\/17415977.2017.1347168","article-title":"Structural damage detection using improved particle swarm optimization","volume":"26","author":"Wei","year":"2018","journal-title":"Inverse Probl. Sci. Eng."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1111\/mice.12100","article-title":"Particle swarm optimization with sequential niche technique for dynamic finite element model updating","volume":"30","author":"Shabbir","year":"2015","journal-title":"Comput.-Aided Civ. Infrastruct. Eng."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"222","DOI":"10.1016\/j.sepro.2012.04.035","article-title":"Particle swarm optimization algorithm based on semantic relations and its engineering applications","volume":"5","author":"Shao","year":"2012","journal-title":"Syst. Eng. Procedia"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1080\/23248378.2016.1179599","article-title":"Applications of particle swarm optimization in the railway domain","volume":"4","author":"Wu","year":"2016","journal-title":"Int. J. Rail Transp."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Pau, G., Collotta, M., and Maniscalco, V. (2017). Bluetooth 5 energy management through a fuzzy-pso solution for mobile devices of internet of things. Energies, 10.","DOI":"10.3390\/en10070992"},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Mangiatordi, F., Pallotti, E., Del Vecchio, P., and Leccese, F. (2012, January 18\u201325). Power consumption scheduling for residential buildings. Proceedings of the 2012 11th International Conference on Environment and Electrical Engineering (EEEIC), Venice, Italy.","DOI":"10.1109\/EEEIC.2012.6221508"},{"key":"ref_48","first-page":"514","article-title":"Damage detection and localization in composite beam structures based on vibration analysis","volume":"23","author":"Khatir","year":"2015","journal-title":"Mechanikha"},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Antonelli, A., Giarnetti, S., and Leccese, F. (2012, January 18\u201325). Enhanced PLL system for Harmonic Analysis through Genetic Algorithm application. Proceedings of the 2012 11th International Conference on Environment and Electrical Engineering (EEEIC), Venice, Italy.","DOI":"10.1109\/EEEIC.2012.6221397"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1016\/j.cam.2004.07.034","article-title":"Genetic algorithms for modelling and optimisation","volume":"184","author":"McCall","year":"2005","journal-title":"J. Comput. Appl. Math."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/18\/12\/4131\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,15]],"date-time":"2024-06-15T05:53:39Z","timestamp":1718430819000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/18\/12\/4131"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11,26]]},"references-count":50,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2018,12]]}},"alternative-id":["s18124131"],"URL":"https:\/\/doi.org\/10.3390\/s18124131","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,11,26]]}}}