Home Journals Articles Updates About
CN
image
收藏切换
GPU accelerated explicit non-linear mode superposition method for real-time analysis of large-scale structures
收藏切换
PDF
Zhen WANG1, 2, Jianjun HUANG1, Wenbin WU1, Bin WU1, 2, Xiaoyang XU3
Earthquake Engineering and Engineering Dynamics | 2025, 45(5) : 154 - 163
Less
收藏切换
Earthquake Engineering and Engineering Dynamics | 2025, 45(5): 154-163
• Research Paper •
GPU accelerated explicit non-linear mode superposition method for real-time analysis of large-scale structures
Full
Zhen WANG1, 2, Jianjun HUANG1, Wenbin WU1, Bin WU1, 2, Xiaoyang XU3
Affiliations
  • 1.School of Civil Engineering & Architecture, Wuhan University of Technology, Wuhan 430070, China
  • 2.Sanya Science and Education Innovation Park, Wuhan University of Technology, Sanya 572000, China
  • 3.China Construction Second Engineering Bureau Co., Ltd., Central China Branch, Wuhan 430061, China
Published: 2025-10-22 doi: 10.13197/j.eeed.2025.0515
Outline
收藏切换

In this paper, a GPU-accelerated explicit nonlinear mode superposition method (ENMS) is proposed for real-time computation of large-scale bridge structures with local nonlinearities, especially non-linear dampers. This method treats the non-linear damping force as an external load, decouples linear equations of motion at each discretized time step by using the mode superposition method, and solves them by using an explicit step-by-step integration method. In this way, this method avoids the iterative solution to the equations of motion, and significantly improves computational efficiency with the fast mode superposition method. In view of the decoupled equations, a GPU is utilized to accelerate the computation, thereby further improving the computational efficiency. Numerical simulation studies on a large-span cable-stayed bridge show the followings: For a large multi-degree-of-freedom structure with local nonlinearities, this method can be used to conveniently and accurately solve dynamic responses with the parameters exported from Midas Civil. For an exponential Maxwell model of viscous dampers, the dichotomous method is able to accurately solve the damping force, providing a better solution to the problem of modeling non-linear dampers. The GPU acceleration can significantly improve the computational efficiency of the explicit non-linear mode superposition method.

large-scale bridge structure  /  local nonlinearity  /  nonlinear mode superposition method  /  explicit integration algorithms  /  GPU accelerated computation  /  real-time analysis
Zhen WANG, Jianjun HUANG, Wenbin WU, Bin WU, Xiaoyang XU. GPU accelerated explicit non-linear mode superposition method for real-time analysis of large-scale structures[J]. Earthquake Engineering and Engineering Dynamics, 2025 , 45 (5) : 154 -163 . DOI: 10.13197/j.eeed.2025.0515
Appendix
Less
Year 2025 volume 45 Issue 5
PDF
61
27
Cite this Article
BibTeX
Article Info
doi: 10.13197/j.eeed.2025.0515
  • Receive Date：2024-03-23
  • Online Date：2026-03-20
  • Published：2025-10-22
Article Data
Affiliations
History
  • Received：2024-03-23
  • Revised：2024-05-09
Funding
Affiliations
    1.School of Civil Engineering & Architecture, Wuhan University of Technology, Wuhan 430070, China
    2.Sanya Science and Education Innovation Park, Wuhan University of Technology, Sanya 572000, China
    3.China Construction Second Engineering Bureau Co., Ltd., Central China Branch, Wuhan 430061, China
References
Share
https://castjournals.cast.org.cn/joweb/dzgcygczd/EN/10.13197/j.eeed.2025.0515
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62199257
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House