Back to Search Start Over

State-space based discretize-then-differentiate adjoint sensitivity method for transient responses of non-viscously damped systems.

Authors :
Ding, Zhe
Zhang, Lei
Gao, Qiang
Liao, Wei-Hsin
Source :
Computers & Structures. Jul2021, Vol. 250, pN.PAG-N.PAG. 1p.
Publication Year :
2021

Abstract

• The design sensitivity analysis of transient responses is considered. • The adjoint variable method (AVM) is derived in a state-space formulation. • The discretize-then-differentiate AVM is adopted for non-viscously damped systems. • The time-history analysis relies on a modified precise integration method. • Computational considerations of proposed method are investigated and compared. In this paper, a new design sensitivity analysis (DSA) method for transient responses of non-viscously damped systems is developed. The damping force of the non-viscously damped systems depends on the past history of motion and is represented by convolution integrals over suitable kernel functions. The equations of motion are first transformed into a state-space formulation and the time-history analysis of the responses relies on a modified precise integration method (MPIM). The residual equation in each discrete time step is achieved by a recurrence formula of the MPIM. The sensitivities of the transient responses are calculated with an adjoint variable method (AVM). In particular, a discretize-then-differentiate approach is adopted for the DSA. The accuracy, consistency, implementation effort and computational complexity are discussed. Two numerical examples are illustrated to show the performances of the proposed method compared with other two methods. The results indicate that, when calculating the sensitivities of the transient responses for non-viscously damped systems based on the MPIM, the order of differentiation and discretization has no obvious effect on the consistency. The proposed state-space based discretize-then-differentiate AVM is more efficient than other two methods. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00457949
Volume :
250
Database :
Academic Search Index
Journal :
Computers & Structures
Publication Type :
Academic Journal
Accession number :
150042104
Full Text :
https://doi.org/10.1016/j.compstruc.2021.106540