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[HTML][HTML] Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices
Sensitivity analysis provides information on the relative importance of model input
parameters and assumptions. It is distinct from uncertainty analysis, which addresses the …
parameters and assumptions. It is distinct from uncertainty analysis, which addresses the …
Nonlinear system identification in structural dynamics: 10 more years of progress
Nonlinear system identification is a vast research field, today attracting a great deal of
attention in the structural dynamics community. Ten years ago, an MSSP paper reviewing …
attention in the structural dynamics community. Ten years ago, an MSSP paper reviewing …
Stochastic model updating utilizing Bayesian approach and Gaussian process model
Stochastic model updating (SMU) has been increasingly applied in quantifying structural
parameter uncertainty from responses variability. SMU for parameter uncertainty …
parameter uncertainty from responses variability. SMU for parameter uncertainty …
Parameter selection in finite-element-model updating by global sensitivity analysis using Gaussian process metamodel
Parameter selection is a key step in finite-element-model updating (FEMU) because it
determines whether the task of FEMU is successful or not. The as-built engineering …
determines whether the task of FEMU is successful or not. The as-built engineering …
Online updating and uncertainty quantification using nonstationary output-only measurement
Extended Kalman filter (EKF) is widely adopted for state estimation and parametric
identification of dynamical systems. In this algorithm, it is required to specify the covariance …
identification of dynamical systems. In this algorithm, it is required to specify the covariance …
Bayesian characterization of buildings using seismic interferometry on ambient vibrations
Continuous monitoring of engineering structures provides a crucial alternative to assess its
health condition as well as evaluate its safety throughout the whole service life. To link the …
health condition as well as evaluate its safety throughout the whole service life. To link the …
Analytical uncertainty quantification for modal frequencies with structural parameter uncertainty using a Gaussian process metamodel
Quantifying the uncertainty in the dynamic properties of large-scale complex engineering
structures presents significant computational challenges. Monte Carlo simulation (MCS) …
structures presents significant computational challenges. Monte Carlo simulation (MCS) …
Bayesian sensitivity analysis of a cardiac cell model using a Gaussian process emulator
Models of electrical activity in cardiac cells have become important research tools as they
can provide a quantitative description of detailed and integrative physiology. However …
can provide a quantitative description of detailed and integrative physiology. However …
Sensitivity analysis of an inflated and extended fiber-reinforced membrane with different natural configurations of its constituents
In this article, we apply sensitivity analysis (SA) to study the pressure–inflation relation and
axial force in a pressurized and extended cylindrical tube. The material consists of an …
axial force in a pressurized and extended cylindrical tube. The material consists of an …
Property sustainable value versus highest and best use analyzes
Sustainable development of all the urban environment elements (including properties) is a
very information requiring decision making process that absorbs data from many different …
very information requiring decision making process that absorbs data from many different …