研究论文
Hybrid prediction of bridge wind-induced buffeting response integrating static physical parameters and temporal neural networks
Xinyang Li, Chen Fang, Yunxiang Ren, Yongle Li
Southwest Jiaotong University
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
摘要 · 节选
暂未获取摘要。可打开原文或 PDF,后续可基于全文生成更完整的速读。
逐年被引趋势
320
326
关键指标
3
被引次数 · OpenAlex
1.19
领域内被引倍数
同类平均 = 1
同类平均 = 1
前 23%
引用位次
同领域 · 同年份 · 同类型
同领域 · 同年份 · 同类型
24
参考文献
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:文献信息
论文问答
当前基于文献信息回答
可就本文提问;依据不足时会说明。
学术脉络
学科主题
物理Wind and Air Flow Studies
Structural Health Monitoring Techniques · Fluid Dynamics and Vibration Analysis
参考文献 24
Simplifying the simulation of stochastic wind velocity fields for long cable-stayed bridges
被引 63Yongle Li, Haili Liao, Shizhong Qiang · Computers & Structures · 2004
Long Short-Term Memory
被引 100,574Sepp Hochreiter, Jürgen Schmidhuber · Neural Computation · 1997
The action of flexible bridges under wind, II: Buffeting theory
被引 271Robert H. Scanlan · Journal of Sound and Vibration · 1978
此处列出前 3 条
引用本文 3
Probabilistic wind characteristics modeling for extreme buffeting prediction of a sea-crossing high-speed railway bridge
被引 1Zhiwei Xu, T Zhang, Gonglian Dai · Structures · 2026
Deep learning-based prediction of bridge buffeting response using vehicle-interfered monitoring data
被引 0Guilin Liu, Rujin Ma, Haocheng Chang · Journal of Wind Engineering and Industrial Aerodynamics · 2026
A Bayesian-inference physics-informed extreme learning machine for suspension bridge buffeting analysis with uncertainty quantification
被引 0Y.S. Zhao, Xuhui He, K. Shi · Probabilistic Engineering Mechanics · 2026
按被引量排序,此处列出前 3 条