Reliability-based design optimization of structural systems under stochastic excitation: an overview
This article presents a brief survey on some of the latest developments in the area of
reliability-based design optimization of structural systems under stochastic excitation. The …
reliability-based design optimization of structural systems under stochastic excitation. The …
A robust Bayesian methodology for damage localization in plate-like structures using ultrasonic guided-waves
SHM methods for damage detection and localization in plate-like structures have typically
relied on signal post-processing techniques applied to ultrasonic guided-waves. The time of …
relied on signal post-processing techniques applied to ultrasonic guided-waves. The time of …
Development of a two-phase adaptive MCMC method for efficient Bayesian model updating of complex dynamic systems
The fundamental problem of Bayesian model updating is identifying the posterior probability
density function (PDF) of uncertain model parameters. Markov chain Monte Carlo (MCMC) …
density function (PDF) of uncertain model parameters. Markov chain Monte Carlo (MCMC) …
Structural optimization considering dynamic reliability constraints via probability density evolution method and change of probability measure
The present paper presents a framework for solving dynamic reliability–based design
optimization (DRBDO) problems. The proposed approach is based on a sequential …
optimization (DRBDO) problems. The proposed approach is based on a sequential …
Optimal sensor configuration for ultrasonic guided-wave inspection based on value of information
Condition-based maintenance critically relies on efficient and reliable structural health
monitoring systems, where the number, position and type of sensors are determined …
monitoring systems, where the number, position and type of sensors are determined …
An adaptive scheme for reliability-based global design optimization: A Markov chain Monte Carlo approach
HA Jensen, DJ Jerez, M Valdebenito - Mechanical Systems and Signal …, 2020 - Elsevier
The reliability-based design of structural dynamic systems under stochastic excitation is
presented. The design problem is formulated in terms of the global minimization of the …
presented. The design problem is formulated in terms of the global minimization of the …
Decoupled reliability-based optimization using Markov chain Monte Carlo in augmented space
An efficient framework is proposed for reliability-based design optimization (RBDO) of
structural systems. The RBDO problem is expressed in terms of the minimization of the …
structural systems. The RBDO problem is expressed in terms of the minimization of the …
Optimal borehole placement for the design of rectangular shallow foundation systems under undrained soil conditions: A stochastic framework
This contribution proposes a framework to identify optimal borehole configurations for the
design of shallow foundation systems under undrained soil conditions. To this end, the …
design of shallow foundation systems under undrained soil conditions. To this end, the …
A general two-phase Markov chain Monte Carlo approach for constrained design optimization: Application to stochastic structural optimization
This contribution presents a general approach for solving structural design problems
formulated as a class of nonlinear constrained optimization problems. A Two-Phase …
formulated as a class of nonlinear constrained optimization problems. A Two-Phase …
Structural optimization under dynamic reliability constraints utilizing probability density evolution method and metamodels in augmented input space
An effective method for solving a class of dynamic-reliability-based design optimization
(DRBDO) problems is proposed in the present paper. Failure probability functions and their …
(DRBDO) problems is proposed in the present paper. Failure probability functions and their …