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 …
Efficiency of the slime mold algorithm for damage detection of large‐scale structures
Optimization‐based methods are increasingly being implemented for structural damage
detection problems through the minimization of the objective functions based on vibration …
detection problems through the minimization of the objective functions based on vibration …
[HTML][HTML] Deterministic and probabilistic-based model updating of aging steel bridges
Numerical modeling is a very useful tool in different fields of bridge engineering, such as
load-carrying capacity assessment or structural health monitoring. Develo** a reliable …
load-carrying capacity assessment or structural health monitoring. Develo** a reliable …
Bayesian updating using accelerated Hamiltonian Monte Carlo with gradient-enhanced Kriging model
Bayesian methods have been widely used to improve the accuracy of finite element model
in civil engineering. However, Bayesian methods generally suffer from the computational …
in civil engineering. However, Bayesian methods generally suffer from the computational …
An improved Bayesian model updating framework by enhanced iterative model reduction technique in time domain
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 …
A damage localization approach for rahmen bridge based on convolutional neural network
Damage localization is the process of detecting the location of damage using a structural
health monitoring system. However, existing damage localization methods cannot be used …
health monitoring system. However, existing damage localization methods cannot be used …
Bayesian finite element model updating of a long-span suspension bridge utilizing hybrid Monte Carlo simulation and kriging predictor
Bayesian model updating technique has been widely investigated and utilized in the field of
finite element model (FEM) updating for its advantages in system uncertainty quantification …
finite element model (FEM) updating for its advantages in system uncertainty quantification …
Efficient Bayesian inference for finite element model updating with surrogate modeling techniques
Bayesian finite element model updating has become an important tool for structural health
monitoring. However, it takes a large amount of computational cost to update the finite …
monitoring. However, it takes a large amount of computational cost to update the finite …
On the Bayesian model updating based on model reduction using complex modal data for damage detection
An approach for the Bayesian model updating of a linear dynamic system using complex
modal data identified from dynamic test data is proposed in this paper. Very few works have …
modal data identified from dynamic test data is proposed in this paper. Very few works have …
A homotopy transformation method for interval-based model updating of uncertain vibrating systems
This paper proposes a novel indirect, two-stage approach for model updating in linear
vibrating systems, exploiting measured natural frequencies, antiresonances and uncertain …
vibrating systems, exploiting measured natural frequencies, antiresonances and uncertain …