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Multi-disciplinary conceptual design of future jet engine systems

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Multi-disciplinary conceptual design of future jet engine systems ( multi-disciplinary-conceptual-design-future-jet-engine-syste )

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Module Development Konstantinos G. Kyprianidis 2. The next simulation point(s) reuse the inverted Jacobian from the last, successfully converged, simulation point. 3. During the simulation of a given point, a Broyden update is performed on the inverted Jacobian after every iteration step as described in [158,159]. 4. The quality/accuracy of the inverted Jacobian deteriorates with every new simulation point; if the convergence rate drops below a certain thresh- old, the Jacobian matrix needs to be re-determined using a differentiation method in order to restore the convergence rate. 5. For consecutive simulation points whose solutions are too far from each other (i.e. for large jumps), the reused inverted Jacobian may no longer be sufficiently representative of the system. This can be detected by a slow convergence rate, numerical instabilities, and the function (model) report- ing calculation errors. In such a case, the iteration for the new simulation point is restarted from the original guess of the solution vector; the Jaco- bian matrix is re-determined on that particular solution vector guess using a differentiation method. A similar algorithm was investigated for steady state simulations during the development of the GeSTPAn code [23] but was never fully implemented because of convergence problems encountered when jumping between simulation points whose solutions are too far away from each other [156]. This important issue has been successfully resolved in the proposed algorithm through step 5. Although quasi-Newton methods and the modified algorithm proposed offer im- proved computational speed, it should be kept in mind that cheap approxima- tions to the inverted Jacobian may sometimes introduce deteriorated numerical stability as a trade-off. As a countermeasure, backtracking needs also be em- ployed (i.e. line search) to improve convergence (as discussed in [23,152]) when either: • The function residual did not actually decrease when the full Newton step was taken. • And/or the function (i.e. one of the engine component models) reported calculation errors. 68

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