Development of an alternative PSO‐based algorithm for simulation of endurance time excitation functions
This paper presents a particle swarm optimizer for production of endurance time excitation functions (ETEFs). These excitations are intensifying acceleration time histories that are used as input motions in endurance time (ET) method. The accuracy of the ET methods heavily depends on the accuracy of...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2019-10-01
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| Series: | Engineering Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/eng2.12048 |
| _version_ | 1818836469789229056 |
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| author | Mohammadreza Mashayekhi Mojtaba Harati Homayoon E. Estekanchi |
| author_facet | Mohammadreza Mashayekhi Mojtaba Harati Homayoon E. Estekanchi |
| author_sort | Mohammadreza Mashayekhi |
| collection | DOAJ |
| description | This paper presents a particle swarm optimizer for production of endurance time excitation functions (ETEFs). These excitations are intensifying acceleration time histories that are used as input motions in endurance time (ET) method. The accuracy of the ET methods heavily depends on the accuracy of ET excitations. Unconstrained nonlinear optimization is employed to simulate these excitations. Particle swarm optimization (PSO) method as an evolutionary algorithm is examined in this paper to achieve a more accurate ETEF, where optimal parameters of the PSO are first determined using a parametric study on the involved variables. The proposed method is verified and compared with the trust‐region‐reflective method as a classical optimization method and imperialist competitive algorithm as a recently developed evolutionary method. Results show that the proposed method leads to more accurate ET excitations. |
| first_indexed | 2024-12-19T03:07:06Z |
| format | Article |
| id | doaj.art-e70f2d06a7bc4ec481f9ea0f7f2bb7ea |
| institution | Directory Open Access Journal |
| issn | 2577-8196 |
| language | English |
| last_indexed | 2024-12-19T03:07:06Z |
| publishDate | 2019-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | Engineering Reports |
| spelling | doaj.art-e70f2d06a7bc4ec481f9ea0f7f2bb7ea2022-12-21T20:38:06ZengWileyEngineering Reports2577-81962019-10-0113n/an/a10.1002/eng2.12048Development of an alternative PSO‐based algorithm for simulation of endurance time excitation functionsMohammadreza Mashayekhi0Mojtaba Harati1Homayoon E. Estekanchi2Department of Civil Engineering Sharif University of Technology Tehran IranDepartment of Civil Engineering University of Science and Culture Rasht IranDepartment of Civil Engineering Sharif University of Technology Tehran IranThis paper presents a particle swarm optimizer for production of endurance time excitation functions (ETEFs). These excitations are intensifying acceleration time histories that are used as input motions in endurance time (ET) method. The accuracy of the ET methods heavily depends on the accuracy of ET excitations. Unconstrained nonlinear optimization is employed to simulate these excitations. Particle swarm optimization (PSO) method as an evolutionary algorithm is examined in this paper to achieve a more accurate ETEF, where optimal parameters of the PSO are first determined using a parametric study on the involved variables. The proposed method is verified and compared with the trust‐region‐reflective method as a classical optimization method and imperialist competitive algorithm as a recently developed evolutionary method. Results show that the proposed method leads to more accurate ET excitations.https://doi.org/10.1002/eng2.12048classical optimization methodsdiscrete wavelet transformdynamic analysisendurance time methodimperialist competitive algorithmparticle swarm optimization |
| spellingShingle | Mohammadreza Mashayekhi Mojtaba Harati Homayoon E. Estekanchi Development of an alternative PSO‐based algorithm for simulation of endurance time excitation functions Engineering Reports classical optimization methods discrete wavelet transform dynamic analysis endurance time method imperialist competitive algorithm particle swarm optimization |
| title | Development of an alternative PSO‐based algorithm for simulation of endurance time excitation functions |
| title_full | Development of an alternative PSO‐based algorithm for simulation of endurance time excitation functions |
| title_fullStr | Development of an alternative PSO‐based algorithm for simulation of endurance time excitation functions |
| title_full_unstemmed | Development of an alternative PSO‐based algorithm for simulation of endurance time excitation functions |
| title_short | Development of an alternative PSO‐based algorithm for simulation of endurance time excitation functions |
| title_sort | development of an alternative pso based algorithm for simulation of endurance time excitation functions |
| topic | classical optimization methods discrete wavelet transform dynamic analysis endurance time method imperialist competitive algorithm particle swarm optimization |
| url | https://doi.org/10.1002/eng2.12048 |
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