1989
DOI: 10.2514/3.20475
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Calculation of structural dynamic forces and stresses using mode acceleration

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Cited by 8 publications
(3 citation statements)
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“…(51) the dynamicMD reduced-ordersolutions(corresponding to different load cases) {q(t )} are used together with the static adjoint solutions {p} (corresponding to different stresses). Because in the MA method the quasi-static problem (22) is solved with the full-order stiffness matrix for all time steps (right-hand sides), and because in the approximate reduced-order methods presented here this problem is solved in reduced order, considerablecomputational savings can be materialized.…”
Section: Dynamic Responsementioning
confidence: 99%
See 1 more Smart Citation
“…(51) the dynamicMD reduced-ordersolutions(corresponding to different load cases) {q(t )} are used together with the static adjoint solutions {p} (corresponding to different stresses). Because in the MA method the quasi-static problem (22) is solved with the full-order stiffness matrix for all time steps (right-hand sides), and because in the approximate reduced-order methods presented here this problem is solved in reduced order, considerablecomputational savings can be materialized.…”
Section: Dynamic Responsementioning
confidence: 99%
“…Instead, the insight gained to this point regarding stress-orientedorder reduction of the static problem can be used to obtain reduced-order dynamic stresses based on the MA method as follows: stress recovery in the MA method is based on the solution of a full-orderquasi-staticproblem with a dynamic right-hand side [Eqs. (13), (14), (22), and (23)]. …”
Section: Dynamic Responsementioning
confidence: 99%
“…First, the aeroservoelastic state-space equations must be formulated in a reduced modal space, in order for the computational cost of the Lyapunov solver to remain tractable. Stresses (and their sensitivities) are known 12,13 to be very difficult to accurately extract from modal approximations, as they converge slowly with mode number. Secondly, stress-based (or buckling-based) failure indices of interest, such as the von Mises stress, are nonlinear quadratic functions of the aerservoelastic state, complicating the formulation of a stochastic failure criterion from the covariance matrix.…”
Section: Introductionmentioning
confidence: 99%