Optimization of the Multi-Level Spring Restrainer for Bridges by Hybrid Particle Swarm and Gravitational Search Algorithm
CC BY
Lưu vào:
| Tác giả chính: | , , |
|---|---|
| Định dạng: | Sách |
| Ngôn ngữ: | English |
| Nhà xuất bản: |
Springer
2023
|
| Chủ đề: | |
| Truy cập trực tuyến: | https://link.springer.com/article/10.1007/s13296-023-00734-2 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8035 |
| Từ khóa: |
Thêm từ khóa
Không có từ khóa, Hãy là người đầu tiên đánh dấu biểu ghi này!
|
| id |
oai:localhost:PNK-8035 |
|---|---|
| record_format |
dspace |
| 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 |
8.891145 |