Abstract: Numerical simulation method includes receiving a manufacturing process configuration specification for moving various types of arbitrarily-shaped objects from an egress area onto a lower surface with desired mass flow rate in a predefined time period; creating a FEA model representing the lower surface; creating respective bonded discrete element models (BDEMs) representing the various types of the objects, each BDEM containing discrete elements connected by connection bonds; generating a list of BDEMs each with randomly-chosen types and orientation, such that total mass of the list of BDEMs exceeds a target total mass; and obtaining numerically-simulated physical behaviors of the objects in a time-marching simulation. At each solution cycle of the simulation, placing respective objects into randomly-selected ‘open’ sub-regions by activating next relevant portion of the BDEMs based on the mass flow rate and time-step size; releasing activated BDEMs from the egress area onto the lower surface.

Abstract: Constraint-based methods for determining orientations of material physical properties using an isoparametric shape function are disclosed. In one embodiment, a method of defining an orientation of an material physical property includes defining nonlinear and/or discontinuous design constraints of design values in a geometric domain associated with one or more physical attributes of the material physical property, and translating the nonlinear and/or discontinuous design constraints into continuous, first order design constraints of the design values by applying an isoparametric shape function. The method further includes performing a topology optimization using the continuous, first order design constraints of the design values, and reverse-translating results of the topology optimization back into the geometric domain using the isoparametric shape function. The results of the topology optimization in the geometric domain are indicative of the orientation of the material physical property.

Abstract: A method for modeling at least a part of a blade of a non-streamlined propeller, part of the blade having an offset. The method includes (a) Parameterization of at least one Bezier curve representing a deformation of the blade characterizing the offset, defined by: a. First and second end control points (PCU1, PCUK); b. At least one intermediate control point (PCUi, i?[[2,K?1]]) disposed between the end points (PCU1, PCUK). The parameterization being performed according to at least one deformation parameter and the cutting height in the blade, on the basis of which the abscissa of the intermediate control point (PCUi) and the ordinate of the second end point (PCUK) are expressed. Optimized values of the deformation parameter or parameters are determined and then output.

Abstract: Systems and methods for reducing run time for a reservoir simulator model using a proxy model based on a neural network.

Abstract: A crude oil composition estimation method estimates a composition of crude oil for use in simulation of a material balance in an absorption and liquefaction system that absorbs vapors emitted from the crude oil with the crude oil. The crude oil composition estimation method includes: comparing a calculated concentration of a treated gas with a measured concentration of the treated gas; estimating, when the calculated concentration agrees with the measured concentration, that the concentration included in the crude oil is a correct crude oil composition; and repeating, when the calculated concentration does not agree with the measured concentration, a process of correcting the concentration included in the crude oil and then comparing the calculated concentration with the measured concentration, until the calculated concentration agrees with the measured concentration, and when they agree, estimating that the corrected concentration in the crude oil is a correct crude oil composition.

Abstract: A first representation of an integrated circuit undergoing processing is transformed into a second representation. The second representation including additional dopants relative to the first representation. The transformation generates a three-dimensional dopant distribution from adding a first dopant under a first set of process conditions with a mask, by combining the two-dimensional lateral profile of the dopant with the one-dimensional depth profile of the dopant. The one-dimensional depth profile of the dopant is retrieved from a database storing selected results from earlier process simulation of the first addition of the first dopant under the first set of process conditions. The two-dimensional lateral dopant profile from adding the first dopant under the first set of process conditions with a first mask corresponding to the first dopant, is generated by convolving the mask with a lateral diffusion function, or from at least one solution to the 2D diffusion equation without convolution.

Abstract: The present invention relates to a method and corresponding system for modeling a musculo-skeletal system. An embodiment of the method of the invention begins by scaling and positioning a musculo-skeletal model to correspond with motion capture data of a subject. Next, kinematically consistent motion data is generated from the motion capture data and then an inverse dynamic analysis of the musculo-skeletal model is performed using the generated kinematically consistent motion data, such that at least one analysis result is generated. The musculo-skeletal model is then updated to correspond with the at least one analysis result of the inverse dynamic analysis. Finally, the muscle activation of the updated musculo-skeletal model is optimized by determining at least one muscle force using the updated musculo-skeletal model, and by further updating the updated musculo-skeletal model to correspond with the determined at least one muscle force.

Abstract: A method of evaluating response of a physical structure to external stimulus includes defining a mesh of finite elements, each defined by edges, for a model of the physical structure. The method includes identifying a governing differential equation and associated complementary functions, which are each associated with a scalar multiplier. The method includes generating an energy optimization model that minimizes a difference between internal and external energies of the finite elements. The internal energy is based on strain energy in a volume defined by the edges of the finite element and resulting from deformations by the complementary functions. The external energy of each finite element is based on external work done by the external stimulus acting on the finite element as deformed by the complementary functions. The method includes solving the energy optimization model for the scalar multipliers and calculating a resulting parameter of interest of the physical structure.

Abstract: A method and system method to detect a leak within a pipeline network include measuring pressure at each of a plurality of sensors distributed along the pipeline network as a time-varying pressure signal. Tuning a model is based on gas mass conservation law in the absence of the leak, the tuning including obtaining the time-varying pressure signal from each of the plurality of sensors, and monitoring the time-varying pressure signals is done to detect the leak based on the model.

Abstract: A method, apparatus and program product simulate a high performance computing (HPC) application environment by creating a cluster of virtual nodes in one or more operating system instances executing on one or more physical computing node, thereby enabling a plurality of parallel tasks from an HPC application to be executed on the cluster of virtual nodes.

Abstract: A method, apparatus and program product simulate a high performance computing (HPC) application environment by creating a cluster of virtual nodes in one or more operating system instances executing on one or more physical computing node, thereby enabling a plurality of parallel tasks from an HPC application to be executed on the cluster of virtual nodes.

Abstract: Noise is removed from a data set by performing an integral transform operation that converts instances of noise into identifiable artifacts in the transformed data set. A model of the artifacts is constructed by creating a full-domain or partial-domain noise model and performing the same integral transform operation on the noise model. The resulting transformation of the noise model is adaptively subtracted from the transformed data set to remove the noise. The adaptive subtraction may employ a least-square error filter.

Abstract: A method for determining a welding sequence including a plurality of welding operations is disclosed. The method includes steps of determining a population of welding sequences based on a set of user-generated constraints, and simulating welding for at least one welding sequence in the population of welding sequences to obtain a multi-objective dependent distortion model of the at least one welding sequence. The method further includes steps of comparing a merit value of the multi-objective dependent distortion model for the at least one welding sequence with one or more predetermined criteria, and outputting a set of welding sequences as potential welding sequences based on the comparison between the merit value and the multi-objective dependent distortion model.

Abstract: The feasibility of performing hydraulic fracturing can be assessed by analyzing the effect of skin on the overall deliverability of a reservoir. Aspects of the disclosure provide a method to determine equivalent skin in hydraulic fractured system through a semi analytical correlation obtained by numerical modeling. Two 3D models are considered: a base case without fracture and a complex case with fractures. The base case is simulated by varying matrix permeabilities while the fractured model is run with different sets of varying fracture's lengths, widths, and permeability as well as matrix permeabilities. The two cases are comparatively analyzed and skin is determined. A generalized correlation for determination of skin is derived through application of multivariate regression technique on obtained skins and their corresponding variables.

Abstract: Fluid-flow simulation over a computer-generated aircraft surface is generated using inviscid and viscous simulations. A fluid-flow mesh of fluid cells is obtained. At least one inviscid fluid property for the fluid cells is determined using an inviscid fluid simulation that does not simulate fluid viscous effects. A set of intersecting fluid cells that intersects the aircraft surface are identified. One surface mesh polygon of the surface mesh is identified for each intersecting fluid cell. A boundary-layer prediction point for each identified surface mesh polygon is determined. At least one boundary-layer fluid property for each boundary-layer prediction point is determined using the at least one inviscid fluid property of the corresponding intersecting fluid cell and a boundary-layer simulation that simulates fluid viscous effects. At least one updated fluid property for at least one fluid cell is determined using the at least one boundary-layer fluid property and the inviscid fluid simulation.

Abstract: Systems and methods are provided for modeling electromagnetic properties of an assembly. The system includes a modeling component configured to divide the assembly into a plurality of subdomains, with each subdomain representing a three-dimensional volume of the assembly, and determine a set of standard elemental basis functions for each subdomain, such that a linear combination of elemental basis functions represents the electromagnetic properties of a portion of the geometry of the subdomain. A synthetic function generator is configured to generate a set of synthetic “entire-domain” basis functions for each subdomain from its set of elemental basis functions. A response characterization component is configured to determine the electromagnetic properties of the assembly from the sets of synthetic basis functions for each subdomain and an excitation matrix representing simulated incident electrical and magnetic stimulation to the assembly.

Abstract: A method includes, based on information received from a user through a graphical user interface, forming and storing elements that define a model that can be run by a computer to simulate operation of a real-world system that includes real-world features. The method includes including in the elements that are formed and stored, collections of software entities that correspond to the real-world features, and running the model using the software entities.

Abstract: An emulator apparatus that emulates entities included in a microgrid is described herein. The emulator apparatus emulates a load with time-varying inductance/resistance or an energy storage device or combination of energy storage devices. The emulator apparatus is electrically coupled to a system or device that is desirably tested/maintained/designed. The emulator apparatus emulates a particular device, and response of the system of device to the emulated device is monitored for purposes of design, testing, or maintenance.

Abstract: A driving model generation device is provided that enables driving evaluation according to a traveling situation of a vehicle. A vehicle is provided with a vehicle state detector, which detects a vehicle state quantity that changes according to a driving operation by a driver. A model generator generates a driving model, which is a reference related to a specific driving operation, based on the vehicle state quantity at the time the driver starts the specific driving operation and the vehicle state quantity at the time the specific driving operation is finished. A driving evaluator evaluates the driving skill of the driver by comparing the driving operation of the driver presented by a detection result of the vehicle state detector to the driving model generated by the model generator.

Abstract: A method for performing a total joint arthroplasty procedure on a patient's damaged bone region. A CT image or other suitable image is formed of the damaged bone surfaces, and location coordinate values (xn,yn,zn) are determined for a selected sequence of bone surface locations using the CT image data. A mathematical model z=f(x,y) of a surface that accurately matches the bone surface coordinates at the selected bone spice locations, or matches surface normal vector components at selected bone surface locations, is determined. The model provides a production file from which a cutting jig and an implant device (optional), each patient-specific and having controllable alignment, are fabricated for the damaged bone by automated processing.