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Optimization of the Multi-Level Spring Restrainer for Bridges by Hybrid Particle Swarm and Gravitational Search Algorithm

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Bibliographic Details
Main Authors: Mustafa Kareem, Hamzah, Farzad, Hejazi, Najad, Ayyash
Format: Book
Language:English
Published: Springer 2023
Subjects:
PSOGSA
MLSR
Online Access:https://link.springer.com/article/10.1007/s13296-023-00734-2
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8035
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spelling oai:localhost:PNK-80352023-04-18T06:50:12Z Optimization of the Multi-Level Spring Restrainer for Bridges by Hybrid Particle Swarm and Gravitational Search Algorithm Mustafa Kareem, Hamzah Farzad, Hejazi Najad, Ayyash PSOGSA MLSR CC BY This paper proposes a new multi-level spring restrainer (MLSR) that exhibits multi stiffness performance in different levels of movement of bridge superstructure to prevent unseating during applied dynamic loads. The analytical model of the proposed MLSR was formulated and the fabricated prototype was tested using dynamic actuator. Based on the developed analytical mode, the function of MLSR device relied on 12 parameters that further complicated the design process to achieve the best performance. However, the conventional optimization techniques utilized only one or a few factors for simple systems. Therefore, a multi-objective optimization method is proposed in this study by introducing the hybridization of Particle Swarm Optimization and Gravitational Search algorithm (PSOGSA) to optimize the restrainer parameters, as well as to improve the seismic performance of bridges using the optimum design. 2023-04-18T06:50:12Z 2023-04-18T06:50:12Z 2023 Book https://link.springer.com/article/10.1007/s13296-023-00734-2 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8035 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic PSOGSA
MLSR
spellingShingle PSOGSA
MLSR
Mustafa Kareem, Hamzah
Farzad, Hejazi
Najad, Ayyash
Optimization of the Multi-Level Spring Restrainer for Bridges by Hybrid Particle Swarm and Gravitational Search Algorithm
description CC BY
format Book
author Mustafa Kareem, Hamzah
Farzad, Hejazi
Najad, Ayyash
author_facet Mustafa Kareem, Hamzah
Farzad, Hejazi
Najad, Ayyash
author_sort Mustafa Kareem, Hamzah
title Optimization of the Multi-Level Spring Restrainer for Bridges by Hybrid Particle Swarm and Gravitational Search Algorithm
title_short Optimization of the Multi-Level Spring Restrainer for Bridges by Hybrid Particle Swarm and Gravitational Search Algorithm
title_full Optimization of the Multi-Level Spring Restrainer for Bridges by Hybrid Particle Swarm and Gravitational Search Algorithm
title_fullStr Optimization of the Multi-Level Spring Restrainer for Bridges by Hybrid Particle Swarm and Gravitational Search Algorithm
title_full_unstemmed Optimization of the Multi-Level Spring Restrainer for Bridges by Hybrid Particle Swarm and Gravitational Search Algorithm
title_sort optimization of the multi-level spring restrainer for bridges by hybrid particle swarm and gravitational search algorithm
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s13296-023-00734-2
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8035
_version_ 1763543257334153216
score 8.8894005

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