The Boeing Company

US Government as Represented by the Secretary of the Army

Other

Theboeing Company

Richard Joel Thompson

Kristen Smith Williams

Adriana Willempje Blom-Schieber

Marna M Kagele

Nam H Nguyen

Lawrence D Hoffmeister

John Rubrecht Lowell

Sean Auffinger

Jimmy M Madderra

Kelsea Cox

Robert Michael Lawton

Daniel S ReMine

Vladimir Balabanov

Hsien-Lin Huang

Brittan A Farmer

Lindsay L Jones

Elizabeth Killelea

John-Paul Nathaniel Sabino

Ocke C Fruchtnicht

Alex Aaron McMullin

Caroline M Kerfonta

Marcus A Bakke

E-June Chen

Nicholas M Wyckoff

David L Carlson

Jason Robert Lathrop

Tyler Benjamin Smith

Wilbur Harrison Barwick

Methods of determining corrosion of an object that occurs over a time period. The methods determine physical factors of the object and environmental factors that occur during the time period. Node points are determined on the object. At different times during the time period, the methods determine the corrosion of the object at the node points based on the physical factors and the environmental factors. A cumulative corrosion of the object is determined based on the corrosion determined at each of the node points at each of the times.

Method for determining corrosion of an object

A method including receiving environmental data, sensor data, and a multi-state model are received for an object. The object includes a first material and a second material that galvanically or chemically interacts with the first material. Each of distinct galvanic or chemical state of the object represents a corresponding different equation applicable to a corresponding specific galvanic or chemical interaction between the first and second materials. A stochastic optimization operation is performed on the multi-state model until convergence on candidate sets of galvanic or chemical material change rates for the distinct galvanic or chemical states of the object. A correlation model is generated for a surrogate parameter for the second physical parameters by correlating the environmental data to the sensor data using the candidate sets of galvanic or chemical material change rates. An aircraft design is generated using the correlation model.

Method and tool for modeling changes in solid materials caused by galvanic or chemical interactions

A computer-implemented method includes receiving information of a logistics network representing a factory and associated suppliers of parts, evaluating a first transit time required to receive parts across the logistics network, for each supplier of the associated suppliers creating a digital copy of the logistics network in which a node connecting the supplier to the factory is removed from the digital copy of the logistics network, evaluating a second transit time required to receive parts, for a supplier of the associated suppliers having an impact metric above a threshold identifying a substitute supplier that ships to the factory in the logistics network, and in an event of failure of a given node in the logistics network, replacing in the logistics network a given supplier that uses the given node to ship to the factory and that has an associated impact metric above the threshold with the substitute supplier.

Methods and systems for identifying and replacing potential failure points in a logistics network

A device includes one or more processors configured to generate simulation data by providing first sets of first values of first input parameters to a simulation of a physical system. The processors are configured to develop at least one surrogate model based on the simulation data, and to select second input parameters from the first input parameters based on the at least one surrogate model. A count of the second input parameters is less than a count of the first input parameters. The processors are configured to generate second simulation data by providing second sets of second values of the second input parameters to the simulation. The processors are configured to develop at least a second surrogate model based on the second simulation data.

Physical system simulation

Arranging computational sub-tasks in a hybrid-computing environment is provided. The method comprises receiving input of a number of nodes, wherein each node represents a computational sub-task, and wherein the nodes are grouped into different sets according to differing computing resources used by the nodes. A computational objective is also received as well as initial data inputs and desired final outputs. A directed graph network is generated comprising the nodes and directed edges connecting the nodes. An optimization problem is then solved to determine a best path through the directed graph network for deriving the desired final outputs from the initial data inputs according to the computational objective. The best path comprises a subset of nodes and directed edges within the directed graph network. The best path to achieve the computational objective and estimated computational resources required for the best path are output to a user.

Hybrid-computing resource optimization

A method, apparatus, computer system, and computer program product for parallelizing quantum processes for processing a problem. A computer system identifies subproblems in the problem based on a structure of the problem. The computer system identifies quantum circuits in a set of quantum computers to process the subproblems. The computer system executes jobs on the quantum circuits to solve the subproblems.

Quantum process parallelization

A method of minimizing a cost function of a quantum computation is provided. The method comprises receiving input of an initial state of a quantum problem instance comprising a Hamiltonian with an associated cost function. The Hamiltonian is converted into a number of Pauli strings, which are used to form an operator pool. The Pauli strings in the operator pool are ranked according to how much they lower a value of the cost function with respect to the initial state. Pauli strings are iteratively added from the operator pool to a parameterized quantum circuit, in a manner to minimize circuit depth, until a variational quantum eigensolver (VQE) algorithm converges to an approximate ground state wave function generated by the parameterized quantum circuit.

Reducing resources in quantum circuits

Examples are disclosed that relate to computer-predicting behavior of foreign object debris (FOD) in a machine. In one example, a geometric computer model of the machine is recognized. FOD initial conditions within the geometric computer model of the machine are recognized. A movement schedule for the geometric computer model of the machine is recognized. A movement trajectory of a FOD from a starting position consistent with the FOD initial conditions throughout the geometric computer model of the machine is simulated based at least on the movement schedule for the geometric computer model of the machine. Simulation data detailing a likelihood that the FOD will come to rest at a location within the geometric computer model of the machine based on the simulated movement trajectory is output.

Foreign object debris movement simulation

A method for discovering optimal algorithms is provided. The method comprises defining a starting condition for a program defining a number of program targets, wherein the program targets map program user-specified inputs to expected outputs, defining a number of program objectives, and defining a number of program constraints. An iterative optimization problem is then initialized to solve for the resulting program. A determination is made if defined termination conditions have been met according to the program targets and optimization objectives. Responsive to the defined termination conditions not being met an update to the program is selected by addition or subtraction of operations, the updated program is evaluated according to the program targets, the number of program objectives are evaluated, and the optimization problem is re-iterated. Responsive to the defined termination conditions being met, the program is reassembled into an instruction set.

Automated process for discovering optimal programs and circuits in new computing platforms

A method, a computing system and a computer program product are provided to efficiently define a guide that includes one or more defined sets of ordered ply orientations. In the context of a method, a plurality of stacking sequence rules are received. The method defines the guide including the one or more defined sets of ordered ply orientations in accordance with a constrained, linear integer optimization formulation. In this regard, the method defines the guide by dividing the guide into a plurality of blocks and determining a plurality of sublaminate stacks that satisfy the stacking sequence rules and that have a size limited by a size of the blocks. For each of the plurality of blocks, the method determines in accordance with the constrained, linear integer optimization formulation a sublaminate stack from among the plurality of sublaminate stacks that is compatible with a respective block.

Computing system and method for defining a guide having one or more defined sets of ordered ply orientations

A method, apparatus, system, and computer program product for quantum processing. A target quantum programming for a process for a quantum computer is identified. A universal gate set is selected based on a computer type. Any operation possible for a particular quantum computer can be performed using the universal gate set. Instructions for the process in a source quantum programming language are sent to a source quantum language translator which outputs a digital model representation of quantum computer components that are arranged to perform the process using the instructions. The digital model representation of the quantum computer components and the universal gate set are sent to a target quantum language translator, which outputs the instructions for operations for the process in a target quantum programming language using the digital model representation of the quantum computer components and the universal gate set for the computer type for the quantum computer.

Quantum processing system

A method for certifying a design of a liquid container onboard a vehicle for manufacture of the liquid container is provided. The method includes generating a computer geometric model of the liquid container according to the design, and executable code to reproduce dynamics and operational parameters of the vehicle, with the dynamics of the vehicle including dynamics during a vehicle maneuver that is selectable from a database of vehicle dynamics for a plurality of vehicle maneuvers. The method includes executing a simulating application to perform a simulation of liquid sloshing in the liquid container onboard the vehicle is performed subject to the dynamics and operational parameters, and iterate the simulation to refine a prediction of loads and stresses on the liquid container from the simulation produced thereby. Locations within the liquid container more vulnerable to fatigue-risk are identified based on the prediction, and output for certification of the design.

Vehicular liquid container design and manufacture

A method of identifying surfaces within a discretized mesh model is provided. The method comprises identifying a number of faces in the mesh model and constructing an adjacency graph of connections between the faces. A value is assigned to each connection in the adjacency graph according to a metric of similarity between incident faces of the connection. Connections with a metric of similarity value that satisfies a prescribed policy of elimination are removed from the adjacency graph. From the remaining connections in the adjacency graph a number of strongly connected components in the mesh model are determined.

Topological surface detector

Systems and methods are provided for optimizing designs of composite parts. One embodiment is a method that includes identifying, at a controller, a candidate movement of a ply to a new ply position within a composite part, based on an objective function, loading, at the controller, stacking sequence rules that dictate how fibers are oriented across ply sequences of the composite part, and determining, at the controller, whether the candidate movement complies with the stacking sequence rules.

Panel-based local optimization of ply sequencing

Systems and methods are provided for composite part design. One embodiment is a method of creating a library of sublaminates used in optimizing fiber orientations of a multi-layer composite part subdivided along its depth into panels that each comprise a fraction of the area of the composite part. The method includes creating sublaminates that each comprise consecutively stacked layers having a unique sequence of fiber orientations, checking the sublaminates for compliance with stacking sequence rules that constrain how fiber orientations are sequenced, and removing sublaminates that do not comply with the stacking sequence rules. The method further includes generating new sublaminates that each include an additional layer, by, for each of multiple fiber orientations: selecting a sublaminate that was not remove, and generating a new sublaminate by appending an additional layer having the fiber orientation to the selected sublaminate.

Growing community of inventors

Huntsville, AL, United States of America

Richard Joel Thompson