Bayesian methods for updating dynamic models

KV Yuen, SC Kuok - 2011 - asmedigitalcollection.asme.org
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 …

Substructural identification using neural networks

CB Yun, EY Bahng - Computers & Structures, 2000 - Elsevier
In relation to the problems of damage detection and safety assessment of existing structures,
the estimation of the element-level stiffness parameters becomes an important issue. This …

Extended Kalman filter for material parameter estimation in nonlinear structural finite element models using direct differentiation method

H Ebrahimian, R Astroza… - Earthquake Engineering & …, 2015 - Wiley Online Library
This paper presents a novel nonlinear finite element (FE) model updating framework, in
which advanced nonlinear structural FE modeling and analysis techniques are used jointly …

Structural damage detection with limited input and output measurement signals

Y Lei, Y Jiang, Z Xu - Mechanical systems and signal processing, 2012 - Elsevier
It is important but still challenging to detect structural damage with limited input and output
measurement signals. In this paper, an algorithm is proposed for detecting structural …

System identification with limited observations and without input

D Wang, A Haldar - Journal of Engineering Mechanics, 1997 - ascelibrary.org
A time domain system identification technique is proposed to estimate the stiffness and
dam** parameters, at the element level, of a structure excited by unknown or unmeasured …

Substructural and progressive structural identification methods

CG Koh, B Hong, CY Liaw - Engineering structures, 2003 - Elsevier
While it is possible in principle to determine unknown structural parameters by system
identification techniques, a major challenge lies in the numerical difficulty in obtaining …