Accounting for environmental variability, modeling errors, and parameter estimation uncertainties in structural identification

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Accounting for input-model and input-parameter uncertainties in simulation

To account for the input-model and input-parameter uncertainties inherent in many simulations as well as the usual stochastic uncertainty, we present a Bayesian input-modeling technique that yields improved point and confidence-interval estimators for a selected posterior mean response. Exploiting prior information to specify the prior probabilities of the postulated input models and the associ...

متن کامل

Accounting for Ocean and Seabed Variability in Oceanic Waveguide Parameter Estimation

The long-term objective of this work is to develop methods for rapid assessment of seabed variability combined with detailed localized geoacoustic inversions to characterize the bottom for shallow-water environments. Consideration is given to spatial and temporal variability of water column properties common to shallow-water environments and their impact on inversion results. Advances made in t...

متن کامل

Uncertainties in Environmental Noise Modeling

With sound level meters the measurement uncertainty is fixed and transparent, depending on the class of the instrument. The counterpart of the measurement, the noise simulation, has many more uncertainties. The uncertainties stem from the calculation standard used, the application of the model’s theoretical basis in a computer program and the construction of the data model. The uncertainty of t...

متن کامل

The Particle Filter and Extended Kalman Filter methods for the structural system identification considering various uncertainties

Structural system identification using recursive methods has been a research direction of increasing interest in recent decades. The two prominent methods, including the Extended Kalman Filter (EKF) and the Particle Filter (PF), also known as the Sequential Monte Carlo (SMC), are advantageous in this field. In this study, the system identification of a shake table test of a 4-story steel struct...

متن کامل

Estimation of Modelling Errors in Structural System Identification

The study presented in this paper builds upon previous research into system identification using multiple models at EPFL. This identification methodology is based on the selection of sets of candidate models such that differences between measurements and their predictions are below a certain threshold value. The threshold value is a function of modeling and measurement errors. This paper presen...

متن کامل

ذخیره 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: Journal of Sound and Vibration

سال: 2016

ISSN: 0022-460X

DOI: 10.1016/j.jsv.2016.03.022