A Discrete Adjoint Method for Two-Phase Condensing Flows Applied to the Shape Optimization of Turbine Cascades

This paper presents a fully turbulent two-phase discrete adjoint method for metastable condensing flows targeted to turbomachinery applications. The method is based on a duality preserving algorithm and implemented in the open-source CFD tool SU2. The optimization framework is applied to the shape optimization of two canonical steam turbine...

Multiscale Analytical Derivative Formulations for Improved Reservoir Management

The exploitation of subsurface resources is, inevitably, surrounded by uncertainty. Limited knowledge on the economical, operational, and geological setting are just a few instances of sources of uncertainty. From the geological point of view, the currently available technology is not able to provide the description of the fluids and rock...

Using Distributed Fiber-Optic Sensing Systems to Estimate Inflow and Reservoir Properties

Recent developments in the deployment of distributed fiber-optic sensing systems in horizontal wells carry the promise to lead to a new, cheap and reliable way of monitoring production and reservoir performance. Practical applicability of distributed pressure sensing for quantitative inflow detection will strongly depend on the specifications of...

Applications of a discrete viscous adjoint method for aerodynamic shape optimisation of 3D configurations

Within the next few years, numerical shape optimisation based on high-fidelity methods is likely to play a strategic role in future aircraft design. In this context, suitable tools have to be developed for solving aerodynamic shape optimisation problems, and the adjoint approach—which allows fast and accurate evaluations of the gradients with...

Sensitivity analysis of a coupled aero-structural system using direct differentiation and adjoint equations

In order to solve a multi-disciplinary optimization problem with strongly coupled disciplines, like the design of a commercial aircraft's wing, an aero-structural design framework is currently under construction. The optimization process is gradient-based and relies on the method of feasible directions. Several constraints can be applied, but...

Improving accuracy and robustness of a discrete direct differentiation method and discrete adjoint method for aerodynamic shape optimisation

This paper describes the recent activities developed at ONERA in the field of aerodynamic shape optimization using gradient based methods. Both discrete direct differentiation method and discrete adjoint method have been considered for the computation of the derivatives of a function with respect to the design parameters. The numerical methods...