The Boeing Company

Evin J Cramer

Mostafa Rassaian

Vladimir Balabanov

Olaf Weckner

Michael Andrew Epton

Andrew James Booker

Joseph P Simonis

Mark A Abramson

A computer-implemented search and poll method can iteratively solve a multi-fidelity optimization problem including an objective function and any constraints. A search step of the method includes constructing and optimizing surrogates of the objective function and any constraints to identify a new set of trial points, and running lower fidelity simulations in ascending order to reduce a number of trial points in the new set. The search step further includes evaluating the reduced number of trial points with the objective function and any constraints using a high fidelity simulation.

Method for solving multi-fidelity optimization problems

A design process that uses lamination parameter inversion to generate a set of baseline layups having desired stiffness properties. Then the underdetermined Newton's method can be applied to explore solution manifolds describing alternative designs having similar if not identical stiffness properties. The manifold of solutions can be methodically examined to find those with desirable properties. Desirable properties include those that have been traditionally captured by design rules or those that improve manufacturability. Combining lamination parameters as design variables with lamination parameter inversion provides an efficient optimization process for non-traditional laminates.

Lamination parameter-based method for optimal design and manufacturing options

Growing community of inventors

Mercer Island, WA, United States of America

Evin J Cramer