Model updating of plate composite structure using particle swarm optimization algorithm
The Finite Element Method (FEM) is a widely applied method for design calculations in many industries, including civil engineering, textile technology and aerospace. Computational simulation is subject to many uncertain parameters that greatly affect the results of structural analysis and evaluation...
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| Vydané v: | ce/papers Ročník 6; číslo 5; s. 1258 - 1265 |
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| Hlavní autori: | , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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01.09.2023
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| Abstract | The Finite Element Method (FEM) is a widely applied method for design calculations in many industries, including civil engineering, textile technology and aerospace. Computational simulation is subject to many uncertain parameters that greatly affect the results of structural analysis and evaluation. This is especially true for structures made of composite materials and complex structures. Determining the exact computational parameters is difficult because the structure involves many materials and components. Not to mention that for some structures, removing some additional components also affects the calculation results. Therefore, the present research aims to propose a simple and straightforward calculation method that ensures the accuracy of the finite element model based on swarm intelligence, namely the Particle Swarm Optimization (PSO) algorithm. The results reveal a good compromise between the laboratory results and the computational simulations for the model scale studied. In this way, an accurate and reliable model can be produced that can be applied to structural health monitoring, design optimization, or reliability analysis. |
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| AbstractList | The Finite Element Method (FEM) is a widely applied method for design calculations in many industries, including civil engineering, textile technology and aerospace. Computational simulation is subject to many uncertain parameters that greatly affect the results of structural analysis and evaluation. This is especially true for structures made of composite materials and complex structures. Determining the exact computational parameters is difficult because the structure involves many materials and components. Not to mention that for some structures, removing some additional components also affects the calculation results. Therefore, the present research aims to propose a simple and straightforward calculation method that ensures the accuracy of the finite element model based on swarm intelligence, namely the Particle Swarm Optimization (PSO) algorithm. The results reveal a good compromise between the laboratory results and the computational simulations for the model scale studied. In this way, an accurate and reliable model can be produced that can be applied to structural health monitoring, design optimization, or reliability analysis. |
| Author | Tiago, Ferradosa Bento, Ana Margarida Cam, Nhung Nguyen Thi Quang, Minh Tran Sousa, Hélder S. Duc, Binh Nguyen Campos e Matos, José |
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| Cites_doi | 10.1007/s11859-008-0117-1 10.1002/cae.22391 10.1061/(ASCE)BE.1943-5592.0000092 10.1061/(ASCE)1084-0702(2001)6:4(285) 10.3390/app7060601 10.1016/j.engstruct.2010.04.019 10.1006/mssp.1996.0136 10.1109/NABIC.2009.5393690 10.1115/1.1410370 10.3390/s17071657 10.12989/sss.2010.6.4.373 10.1007/978-981-99-2345-8_69 10.3390/s18093057 10.3390/s19235099 10.12785/amis/070249 10.1061/(ASCE)BE.1943-5592.0000765 10.12989/sss.2005.1.1.083 10.1007/978-3-030-29227-0_26 |
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| References_xml | – volume: 9 issue: 4 year: 2022 article-title: Damage detection of structural based on indirect vibration measurement results combined with Artificial Neural Network publication-title: Journal of Materials and Engineering Structures «JMES» – volume: 32 start-page: 2455 issue: 8 year: 2010 end-page: 2465 article-title: Finite element model updating in structural dynamics by using the response surface method publication-title: Engineering Structures – volume: 1 start-page: 83 issue: 1 year: 2005 end-page: 101 article-title: Modal identification and finite element model updating of a reinforced concrete bridge publication-title: Smart Structures And Systems – start-page: 659 year: 2001 end-page: 667 – start-page: 380 end-page: 389 article-title: Optimization of IGA parameters based on beam structure using Cuckoo Search algorithm – volume: MACEC 3.4 publication-title: Macec ‐ The matlab toolbox for experimental and operational modal analysis – year: 2001 – year: 2008 – start-page: 91 year: 1998 end-page: 120 – start-page: 785 year: 2013 end-page: 792 – start-page: 264 year: 2020 end-page: 272 – year: 2021 – start-page: 373 end-page: 388 – year: 2017 – year: 2016 – year: 2022 article-title: Research and application of indirect monitoring methods for transport infrastructures to monitor and evaluate structural health – year: 2018 – year: 2019 – year: 2015 – year: 2010 – start-page: 380 end-page: 385 article-title: Damage assessment in beam‐like structures using Cuckoo Search Algorithm and experimentally measured data – ident: e_1_2_2_16_1 doi: 10.1007/s11859-008-0117-1 – ident: e_1_2_2_31_1 doi: 10.1002/cae.22391 – ident: e_1_2_2_12_1 – volume-title: Recent Advances in Structural Health Monitoring and Engineering Structures ‐ Select Proceedings of SHM&ES year: 2022 ident: e_1_2_2_14_1 – start-page: 380 volume-title: Numerical modelling in engineering ident: e_1_2_2_21_1 – ident: e_1_2_2_27_1 – ident: e_1_2_2_18_1 doi: 10.1061/(ASCE)BE.1943-5592.0000092 – ident: e_1_2_2_10_1 doi: 10.1061/(ASCE)1084-0702(2001)6:4(285) – start-page: 380 volume-title: Proceedings of the 13th international conference on damage assessment of structures ident: e_1_2_2_20_1 – ident: e_1_2_2_23_1 – volume: 3 ident: e_1_2_2_28_1 publication-title: Macec ‐ The matlab toolbox for experimental and operational modal analysis – ident: e_1_2_2_2_1 doi: 10.3390/app7060601 – ident: e_1_2_2_11_1 doi: 10.1016/j.engstruct.2010.04.019 – ident: e_1_2_2_17_1 doi: 10.1006/mssp.1996.0136 – ident: e_1_2_2_29_1 – ident: e_1_2_2_24_1 doi: 10.1109/NABIC.2009.5393690 – ident: e_1_2_2_25_1 – volume: 9 issue: 4 year: 2022 ident: e_1_2_2_13_1 article-title: Damage detection of structural based on indirect vibration measurement results combined with Artificial Neural Network publication-title: Journal of Materials and Engineering Structures «JMES» – ident: e_1_2_2_3_1 – ident: e_1_2_2_30_1 doi: 10.1115/1.1410370 – ident: e_1_2_2_5_1 doi: 10.3390/s17071657 – ident: e_1_2_2_7_1 doi: 10.12989/sss.2010.6.4.373 – ident: e_1_2_2_15_1 doi: 10.1007/978-981-99-2345-8_69 – ident: e_1_2_2_9_1 doi: 10.3390/s18093057 – ident: e_1_2_2_19_1 – ident: e_1_2_2_4_1 doi: 10.3390/s19235099 – ident: e_1_2_2_22_1 doi: 10.12785/amis/070249 – ident: e_1_2_2_6_1 doi: 10.1061/(ASCE)BE.1943-5592.0000765 – ident: e_1_2_2_8_1 doi: 10.12989/sss.2005.1.1.083 – ident: e_1_2_2_26_1 doi: 10.1007/978-3-030-29227-0_26 |
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| Title | Model updating of plate composite structure using particle swarm optimization algorithm |
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