Methodology maps for model-based sensor-data interpretation to support civil-infrastructure management
With increasing urbanization and depleting reserves of raw materials for construction,
sustainable management of existing infrastructure will be an important challenge in this …
sustainable management of existing infrastructure will be an important challenge in this …
Hierarchical Bayesian modeling framework for model updating and robust predictions in structural dynamics using modal features
The hierarchical Bayesian modeling (HBM) framework has recently been developed to
tackle the uncertainty quantification and propagation in structural dynamics inverse …
tackle the uncertainty quantification and propagation in structural dynamics inverse …
Tuned-mass-damper-inerter optimal design and performance assessment for multi-storey hysteretic buildings under seismic excitation
Inerter-based vibration absorbers (IVAs), such as the tuned-mass-damper-inerter (TMDI),
have become popular in recent years for the earthquake protection of building structures …
have become popular in recent years for the earthquake protection of building structures …
Nonlinear model updating through a hierarchical Bayesian modeling framework
A new time-domain probabilistic technique based on hierarchical Bayesian modeling (HBM)
framework is proposed for calibration and uncertainty quantification of hysteretic type …
framework is proposed for calibration and uncertainty quantification of hysteretic type …
A two-stage Bayesian model updating framework based on an iterative model reduction technique using modal responses
P Sengupta, S Chakraborty - Computer Methods in Applied Mechanics and …, 2023 - Elsevier
A two-stage Bayesian model updating framework based on an affine-invariance sampling in
Transitional Markov Chain Monte Carlo (TMCMC) algorithm is proposed. In the first stage …
Transitional Markov Chain Monte Carlo (TMCMC) algorithm is proposed. In the first stage …
Future cities demand smart and equitable infrastructure resilience modeling perspectives
JE Padgett, R Rincon, P Panakkal - npj Natural Hazards, 2024 - nature.com
Risk-informed decisions that promote infrastructure resilience (or the ability to withstand,
recover from, and adapt to stressors like natural hazards) require confident predictions of …
recover from, and adapt to stressors like natural hazards) require confident predictions of …
An analytically tractable solution for hierarchical Bayesian model updating with variational inference scheme
The hierarchical Bayesian modelling (HBM) framework has recently been proposed to
properly account for the model parameter uncertainty in structural dynamics. This framework …
properly account for the model parameter uncertainty in structural dynamics. This framework …
An expeditious and expressive vehicle dynamics model for applications in controls and reinforcement learning
We present a Vehicle Model (VM) that has 17 degrees of freedom and includes nonlinear
tire and powertrain subsystems. Implemented as a relatively small piece of C++ code, the …
tire and powertrain subsystems. Implemented as a relatively small piece of C++ code, the …
A hierarchical Bayesian framework embedded with an improved orthogonal series expansion for Gaussian processes and fields identification
A new hierarchical Bayesian framework (HBM) is proposed for identification of Gaussian
processes or fields, which are usually used for simulating uncertainty in temporal variability …
processes or fields, which are usually used for simulating uncertainty in temporal variability …
An improved Bayesian model updating framework by enhanced iterative model reduction technique in time domain
P Sengupta, S Chakraborty - Journal of Sound and Vibration, 2023 - Elsevier
An improved Bayesian model updating technique in the Transitional Markov Chain Monte
Carlo framework in time domain is investigated. In doing so, a modified iterative model …
Carlo framework in time domain is investigated. In doing so, a modified iterative model …