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Updated: Mar 14, 2026

Data Acquisition Protocol for Determining Embedded Sensitivity Functions
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基于机器学习的贝叶斯优化调整的惰性阻尼器,用于在高层基础隔离结构中增强地震响应控制

Shuai Huang1, Kesong Zhu2,3

  • 1Infrastructure Department, Nanyang City Branch, Post Group Co., Ltd., Nanyang, 473000, China.

Scientific reports
|March 13, 2026
PubMed
概括

本研究引入了贝叶斯优化框架,用于调整的内置阻尼器 (TIDs),以提高高层建筑的抗震能力. 优化的TID有效地减少了各种地面运动下的结构移位和加速.

关键词:
贝叶斯优化是贝叶斯的优化.克劳·潘齐恩的光谱地面运动建模模型高层建筑的高层建筑.机器学习 机器学习地震隔离的地震隔离结构性弹性 结构性弹性调节的惯性阻塞.控制振动的控制器

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