Damping estimation from laboratory, full‐scale, or computational simulation is critical in response prediction of structures under wind, waves, or earthquake effects. A virtual dynamic shaker (VDS)‐based scheme was recently developed for system identification (SI) of structures for processing (weakly) stationary responses, that is, frequency and damping features that offers, especially the added advantage of its basic simplicity over other schemes. While the VDS has shown performance, equivalent to other popular SI schemes, it is based on the assumption of the global flatness of the load spectrum (i.e., white noise assumption) like used in most other SI schemes, which may not always be appropriate in practical applications. In addition, it is restricted to data from a single‐degree‐of‐freedom (SDOF) response (or unimodal response) to obtain accurate modal characteristics. To address these potential shortcomings, this study revisits the VDS scheme and offers an enhancement by invoking local flatness assumption (EVDS) to possibly improve the damping estimation with the assumption that the load spectrum is flat only around the natural frequencies of the desired modes. A new formulation involving the effect of the ground motion induced vertical vibrations of a building is also introduced for both the VDS and the EVDS. Extensive examples through numerical simulation and full‐scale data, including a comparison with other popular SI schemes, demonstrate the efficacy of the proposed EVDS scheme. To facilitate expeditious and convenient utilization of the proposed EVDS as well as the VDS, this study has implemented a web‐enabled framework, named VDS‐Damping, for on‐demand and on‐the‐fly applications through user‐friendly input and result interfaces. A recently developed mode decomposition scheme, state space‐based mode decomposition (SSBMD), is implemented in the framework to assist in analyzing output from multiple modes and eliminates restriction of SDOF system. Accordingly, the SSBMD can also serve as a stand‐alone mode decomposition tool to separate response in each mode. This framework enables users to estimate damping on‐the‐fly by uploading with ease their data.

中文翻译：

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使用增强的虚拟动态振动器进行阻尼估计：基于Web的框架

在风，浪或地震作用下对结构的响应预测中，实验室，全面或计算模拟的阻尼估计至关重要。最近开发了一种基于虚拟动态振动器（VDS）的方案，用于结构识别（SI），用于处理（弱）静态响应，即提供的频率和阻尼特性，尤其是与其他方案相比，其基本简单性的附加优势。尽管VDS表现出与其他流行的SI方案等效的性能，但它是基于负载谱的全局平坦度的假设（即白噪声假设），就像大多数其他SI方案中使用的那样，在某些情况下可能并不总是合适的实际应用。此外，它仅限于来自单自由度（SDOF）响应（或单峰响应）的数据以获得准确的模态特征。为了解决这些潜在的缺点，本研究重新审视了VDS方案，并通过调用局部平坦度假设（EVDS）进行了改进，以在负载谱仅在所需模式的固有频率附近平坦的情况下可能改善阻尼估计。还针对VDS和EVDS引入了一种涉及地面运动引起的建筑物垂直振动影响的新公式。通过数值模拟和全面数据的大量示例，包括与其他流行的SI方案的比较，证明了所提出的EVDS方案的有效性。为了促进快速便捷地使用建议的EVDS和VDS，这项研究通过用户友好的输入和结果界面为按需和即时应用程序实现了一个名为VDS-Damping的基于Web的框架。在框架中实施了最近开发的模式分解方案，即基于状态空间的模式分解（SSBMD），以帮助分析多种模式的输出并消除SDOF系统的限制。因此，SSBMD还可以用作独立模式分解工具，以分离每种模式下的响应。该框架使用户可以通过轻松上传数据来实时估计阻尼。在框架中实施，可帮助分析多种模式的输出并消除SDOF系统的限制。因此，SSBMD还可以用作独立模式分解工具，以分离每种模式下的响应。该框架使用户能够通过轻松上传数据来实时估计阻尼。在框架中实施，可帮助分析多种模式的输出并消除SDOF系统的限制。因此，SSBMD还可以用作独立模式分解工具，以分离每种模式下的响应。该框架使用户能够通过轻松上传数据来实时估计阻尼。