TY - JOUR
T1 - Optimization of mid-frequency vibration for complex built-up systems using the hybrid finite element–statistical energy analysis method
AU - Gao, Ruxin
AU - Zhang, Yahui
AU - Kennedy, David
N1 - Publisher Copyright:
© 2019 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2020/12/1
Y1 - 2020/12/1
N2 - This article deals with the sensitivity analysis of dynamic response and optimal size design of complex built-up systems in the mid-frequency range. A complex built-up system may be fabricated from many components which often differ greatly in materials and sizes. It may be subjected to many different wavelength structural deformations and may typically exhibit mixed mid-frequency behaviour which is very sensitive to uncertainties at higher frequencies. To perform optimization on the mid-frequency vibration of complex built-up systems, the hybrid finite element (FE)–statistical energy analysis (SEA) method, in which the deterministic and statistical subsystem are respectively modelled using FE and SEA, is implemented in this work. In this context, an efficient direct differentiation method for sensitivity analysis is derived. Two numerical examples illustrate the efficiency and effectiveness of the proposed optimization model.
AB - This article deals with the sensitivity analysis of dynamic response and optimal size design of complex built-up systems in the mid-frequency range. A complex built-up system may be fabricated from many components which often differ greatly in materials and sizes. It may be subjected to many different wavelength structural deformations and may typically exhibit mixed mid-frequency behaviour which is very sensitive to uncertainties at higher frequencies. To perform optimization on the mid-frequency vibration of complex built-up systems, the hybrid finite element (FE)–statistical energy analysis (SEA) method, in which the deterministic and statistical subsystem are respectively modelled using FE and SEA, is implemented in this work. In this context, an efficient direct differentiation method for sensitivity analysis is derived. Two numerical examples illustrate the efficiency and effectiveness of the proposed optimization model.
KW - Mid-frequency
KW - complex built-up system
KW - dynamic optimization
KW - hybrid FE-SEA method
KW - sensitivity analysis
UR - http://www.scopus.com/inward/record.url?scp=85076049427&partnerID=8YFLogxK
U2 - 10.1080/0305215X.2019.1691546
DO - 10.1080/0305215X.2019.1691546
M3 - Article
AN - SCOPUS:85076049427
SN - 0305-215X
VL - 52
SP - 2125
EP - 2145
JO - Engineering Optimization
JF - Engineering Optimization
IS - 12
ER -