TY - GEN
T1 - Material characterization for dynamic simulation of non-homogeneous structural members
AU - Quintana-Rodríguez, J. A.
AU - Doyle, J. F.
AU - Carrión-Viramontes, F. J.
AU - Samayoa-Ochoa, D.
AU - López-López, J. A.
PY - 2010
Y1 - 2010
N2 - Generally, simulation of non-homogeneous materials requires a homogeneous representation with equivalent properties different from the constitutive elements. Determination of the equivalent properties for dynamic simulation is not always a direct and straightforward calculation, as they have to represent, not only the static reactions, but also the dynamic behavior, which depends on a more complex relation of the geometrical (area, inertia moment), mechanical (elastic modulus) and physical (density) properties. In this context, the Direct Sensitivity Method (DSM) is developed to calibrate structural parameters of a finite element model using a priori information with an inverse parameter identification scheme, where parameters are optimized through an error sensitivity function using experimental data with the dynamic responses of the model. Results demonstrate that parameters of materials can be calibrated efficiently from the DSM and that key aspects for this calibration are noise, sensitivity (structural and sensor), and the finite element model representation.
AB - Generally, simulation of non-homogeneous materials requires a homogeneous representation with equivalent properties different from the constitutive elements. Determination of the equivalent properties for dynamic simulation is not always a direct and straightforward calculation, as they have to represent, not only the static reactions, but also the dynamic behavior, which depends on a more complex relation of the geometrical (area, inertia moment), mechanical (elastic modulus) and physical (density) properties. In this context, the Direct Sensitivity Method (DSM) is developed to calibrate structural parameters of a finite element model using a priori information with an inverse parameter identification scheme, where parameters are optimized through an error sensitivity function using experimental data with the dynamic responses of the model. Results demonstrate that parameters of materials can be calibrated efficiently from the DSM and that key aspects for this calibration are noise, sensitivity (structural and sensor), and the finite element model representation.
KW - Finite element model simulation
KW - Inverse problems
KW - Material characterization
KW - Wave propagation
UR - http://www.scopus.com/inward/record.url?scp=78650553317&partnerID=8YFLogxK
U2 - 10.4028/www.scientific.net/KEM.449.46
DO - 10.4028/www.scientific.net/KEM.449.46
M3 - Contribución a la conferencia
SN - 9780878492534
T3 - Key Engineering Materials
SP - 46
EP - 53
BT - Fracture Mechanics
PB - Trans Tech Publications Ltd
ER -