A Study of Damping Predictor of Buildings

建筑物阻尼预报器的研究

• 批准号: 07650673
• 负责人: TAMURA Yukio
• 金额: $ 1.22万
• 依托单位: Tokyo Institute of Polytechnics
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 1995
• 资助国家: 日本
• 起止时间: 1995 至 1997
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-07650673/
• 关键词: Damping Ratio; Natural Frequency; RD Technique; Amplitude Dependency

Reliable high-quality full-scale damping data on buildings of various conditions have been accumulated from many organizations. Additional damping data have been collected from many journals and proceedings. All data on the dynamic properties of buildings have been amended to confirm the measured values, and to obtain necessary information, especially on measurement and evaluation techniques and vibration amplitudes as well as detailed building information. Reliable data have consequently been selected and are contained in the database.When wind-induced responses with large amplitude were observed, structural damping has also been evaluated by using random decrement technique. A modified conditional expectation enabled the random decrement technique to estimate amplitude dependencies, and derived the random decrement technique ranked by the peak amplitude. By using the proposed technique, the amplitude dependencies of the natural period and the damping ratio were clearly and efficiently evaluated.Relations between damping ratios and building properties were analyzed based on the database, especially in a large-amplitude regime. Then, a damping predictor was proposed to assess nonlinear behaviors of the dynamic properties, frequency and amplitude dependency. The accurate predictor model for damping was established to aid designers in estimating damping ratios, based on building properties.

许多组织已经积累了各种条件下建筑物的可靠的高质量全尺寸阻尼数据。额外的阻尼数据已从许多期刊和会议记录中收集。所有关于建筑物动态特性的数据都经过修改，以确认测量值，并获取必要的信息，特别是测量和评估技术、振动幅度以及详细的建筑信息。因此，可靠的数据被选择并包含在数据库中。当观测到大振幅的风致响应时，还使用随机减量技术来评估结构阻尼。修改后的条件期望使随机递减技术能够估计幅度依赖性，并导出按峰值幅度排序的随机递减技术。通过使用所提出的技术，可以清晰有效地评估自然周期和阻尼比的振幅依赖性。基于数据库分析阻尼比与建筑性能之间的关系，特别是在大振幅范围内。然后，提出了阻尼预测器来评估动态特性、频率和幅度依赖性的非线性行为。建立准确的阻尼预测模型是为了帮助设计人员根据建筑特性估计阻尼比。