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RISEfficient Model Correction Method with Modal Measurement
Publisher: American Society of Civil Engineers
Abstract: An efficient model correction method is proposed by using the modal measurement from a structural system. The method corrects/updates the mass and stiffness matrix without imposing any parameterization. It considers the ...
Bayesian Learning–Based Data Analysis of Uniaxial Compressive Strength of Rock: Relevance Feature Selection and Prediction Reliability Assessment
Publisher: ASCE
Abstract: Estimation on the uniaxial compressive strength (UCS) of rock is an important issue in geotechnical engineering. Empirical relation establishment for UCS estimation is particularly favorable since core sample measurement ...
Novel Sparse Bayesian Learning and Its Application to Ground Motion Pattern Recognition
Publisher: American Society of Civil Engineers
Abstract: A novel sparse Bayesian learning for correlated error (SBL-CE) algorithm is proposed to automatically search for an optimal model class with relevance features in regression problems of pattern recognition based on measured ...
Updating Properties of Nonlinear Dynamical Systems with Uncertain Input
Publisher: American Society of Civil Engineers
Abstract: A spectral density approach for the identification of linear systems is extended to nonlinear dynamical systems using only incomplete noisy response measurements. A stochastic model is used for the uncertain input and a ...
Bayesian Modal Updating using Complete Input and Incomplete Response Noisy Measurements
Publisher: American Society of Civil Engineers
Abstract: The problem of identification of the modal parameters of a structural model using complete input and incomplete response time histories is addressed. It is assumed that there exist both input error (due to input measurement ...
Model Selection Using Response Measurements: Bayesian Probabilistic Approach
Publisher: American Society of Civil Engineers
Abstract: A Bayesian probabilistic approach is presented for selecting the most plausible class of models for a structural or mechanical system within some specified set of model classes, based on system response data. The crux of ...
Broad Learning System for Nonparametric Modeling of Clay Parameters
Publisher: ASCE
Abstract: Due to the complex and uncertain nature of geomaterial properties, establishing representative parametric models between clay parameters is a challenging task. Nonparametric machine learning offers an accessible approach ...
Bayesian Methods for Updating Dynamic Models
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Model updating of dynamical systems has been attracting much attention because it has a very wide range of applications in aerospace, civil, and mechanical engineering, etc. Many methods were ...
Bayesian Nonparametric Modeling of Structural Health Indicators under Severe Typhoons and Its Application to Modeling Modal Frequency
Publisher: American Society of Civil Engineers
Abstract: Structural health indicators, such as modal frequencies, have been commonly utilized to interpret the health condition of monitored structures. This study modeled the relationship between structural health indicators and ...
Bayesian Nonparametric Modeling of Structural Health Indicators under Severe Typhoons and Its Application to Modeling Modal Frequency
Publisher: American Society of Civil Engineers
Abstract: Structural health indicators, such as modal frequencies, have been commonly utilized to interpret the health condition of monitored structures. This study modeled the relationship between structural health indicators and ...