[图书][B] Crack and flaw identification in statics and dynamics, using filter algorithms and soft computing
GE Stavroulakis, M Engelhardt, H Antes - 2005 - Springer
Numerical methods for the solution of crack and flaw identification problems in two-
dimensional elastomechanics are presented in this chapter. The mechanical modelling is …
dimensional elastomechanics are presented in this chapter. The mechanical modelling is …
Neural network assisted crack and flaw identification in transient dynamics
GE Stavroulakis, M Engelhardt, A Likas… - Journal of Theoretical …, 2004 - yadda.icm.edu.pl
Crack and flaw identification problems in two-dimensional elastomechanics are numerically
studied in this paper. The mechanical modelling is based on boundary element techniques …
studied in this paper. The mechanical modelling is based on boundary element techniques …
Crack identification in elasticity
GE Stavroulakis, M Engelhardt, R Gallego - 2002 - osti.gov
Crack and defect, eg hole, identification in elasticity, is formulated as an output optimization
problem, where predictions of a suitably parametrized mechanical model are compared with …
problem, where predictions of a suitably parametrized mechanical model are compared with …
Inverse and Crack Identification Problems in Engineering Mechanics [electronic resource]
GE Stavroulakis - sidalc.net
Inverse and crack identification problems are of paramount importance for health monitoring
and quality control purposes arising in critical applications in civil, aeronautical, nuclear, and …
and quality control purposes arising in critical applications in civil, aeronautical, nuclear, and …
[图书][B] Inverse and crack identification problems in engineering mechanics
GE Stavroulakis - 2001 - books.google.com
Inverse and crack identification problems are of paramount importance for health monitoring
and quality control purposes arising in critical applications in civil, aeronautical, nuclear, and …
and quality control purposes arising in critical applications in civil, aeronautical, nuclear, and …
Crack and flaw identification in elastodynamics using Kalman filter techniques
M Engelhardt, GE Stavroulakis, H Antes - Computational Mechanics, 2006 - Springer
Filter-driven optimization based on the extended Kalman filter concept is used here for the
numerical solution of crack and flaw identification problems in elastodynamics. The …
numerical solution of crack and flaw identification problems in elastodynamics. The …
Crack detection by elastostatic measurements: a neural network approach based on BEM modelling
GE Stavroulakis, H Antes - … in Structural Mechanics: Proceedings of the …, 1999 - Springer
A neural network approach is proposed for the treatment of inverse problems in linear and
nonlinear elastostatics. The specific application concerns the identification of a crack in an …
nonlinear elastostatics. The specific application concerns the identification of a crack in an …
Neural crack identification
M Engelhardt, A Likas, GE Stavroulakis - 2002 - osti.gov
The inverse, crack identification problem in elasticity can be formulated as an output error
minimization problem which, nevertheless, can not be solved without difficulties by classical …
minimization problem which, nevertheless, can not be solved without difficulties by classical …
Nondestructive elastostatic identification of unilateral cracks through BEM and neural networks
GE Stavroulakis, H Antes - Computational Mechanics, 1997 - Springer
An inverse problem in nonlinear elastostatics is considered which concerns the identification
of unilateral contact cracks by means of boundary measurements for given static loadings …
of unilateral contact cracks by means of boundary measurements for given static loadings …
Parameter identification of a cohesive crack model by Kalman filter
G Bolzon, R Fedele, G Maier - Computer Methods in Applied Mechanics …, 2002 - Elsevier
The Kalman filter (KF) methodology is apt to solve parameter identification (inverse)
problems in a statistical context, through a sequence of estimations, which starts from an a …
problems in a statistical context, through a sequence of estimations, which starts from an a …