MODAL IDENTIFICATION OF BASE-FIXED MODEL USING STOCHASTIC SUBSPACE METHOD
نویسندگان
چکیده
A two-step system identification is presented to estimate modal properties of a base-fixed model from ambient vibration records on multi-story building with soil-structure interaction (SSI). In the first step output-only stochastic subspace method employed for estimating SSI. second are modified estimates, by using theoretical relations between multi-degree-of-freedom SSI and its equivalent derived in paper. Two examples numerical real-world tests demonstrated show applicability identification.
منابع مشابه
Operational Modal Analysis using a Fast Stochastic Subspace Identification Method
Stochastic subspace identification methods are an efficient tool for system identification of mechanical systems in Operational Modal Analysis, where modal parameters (natural frequencies, damping ratios, mode shapes) are estimated from measured ambient vibration data of a structure. System identification is usually done for many successive model orders, as the true system order is unknown. The...
متن کاملReference-based Stochastic Subspace Identification for Output-only Modal Analysis
When performing vibration tests on civil engineering structures, it is often unpractical and expensive to use arti"cial excitation (shakers, drop weights). Ambient excitation on the contrary is freely available (tra$c, wind), but it causes other challenges. The ambient input remains unknown and the system identi"cation algorithms have to deal with output-only measurements. For instance, realisa...
متن کاملA subspace method for frequency selective identification of stochastic systems ⋆
A parametric method for the estimation of vector valued discrete-time stochastic systems or equivalently the spectrum of a stochastic process is presented. The key feature is that the method can be used to frequency selectively fit the model to the data. This means that parts of the spectrum can be modeled with a lower model order than otherwise would be necessary if the entire spectrum would b...
متن کاملSubspace Identification of Modal Coordinate Time Series
The paper presents how direct estimation of the modal coordinate time series can be performed using a time domain subspace based system identification method. The method overcomes the traditional limitation on maximum number of modal coordinates to be estimated being less or equal to the applied number of sensors. This is achieved by utilizing the information on system order inherent in the sta...
متن کاملStochastic Subspace Identification: Valid Model, Asymptotics and Model Error Bounds
This paper investigates the ability of the stochastic subspace identification technique to return a valid model from finite measurement data, its asymptotic properties as the data set becomes large, and asymptotic error bounds of the identified model (in terms of H2 and H∞ norms). First, a new and straightforward LMI-based approach is proposed, which returns a valid identified model even in cas...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Nihon Kenchiku Gakkai ko?zo?-kei ronbunshu?
سال: 2023
ISSN: ['1881-8153', '1340-4202']
DOI: https://doi.org/10.3130/aijs.88.403