Abstract: A system and method is disclosed for predicting and comparing wear scenarios in a rail system. The method can include generating and running a contact model of the interaction between a rail and a train car to produce a simulated loading on the rail for a predetermined time period; generating and running a wear model based on the material properties and/or friction modifier properties of the rail using the simulated loading to produce a simulated wear profile of the rail for the predetermined time period; obtaining a grinding profile to be performed on the rail during the predetermined time period; and generating an updated rail profile by modifying the rail profile by the simulated wear profile and the grinding profile. The method can predict and compare crack growth over time, and provide a financial model and comparison of costs and benefits for different maintenance protocols for the rail system.

Abstract: Techniques for developing a hydrocarbon well employing hydraulic fracturing, including determining a geometric signature of a bi-wing hydraulic fracture of the well, including a fracture height (hf), half-length (Xf) and width (wf) of the fracture, determining fracture model parameters for the fracture, including a stimulated cell width (Dy), length (Dx), and width (n), determining a fracture conductivity diluting factor (FCDF) for the bi-wing hydraulic fracture based on the geometric signature and the fracture model parameters, applying the FCDF to a fracture permeability (Kf) to determine a model permeability (Kfm) for the fracture, and determining a reservoir model of the reservoir that includes the model permeability (Kfm) associated with the cells of the reservoir model that represent a region of the hydrocarbon reservoir that corresponds to the location of the hydraulic fracture.

Abstract: Systems and methods are disclosed for assessing organ and/or tissue transplantation by estimating blood flow through a virtual transplant model by receiving a patient-specific anatomical model of the intended transplant recipient; receiving a patient-specific anatomical model of the intended transplant donor, the model including the vasculature of the organ or tissue that is intended to be transplanted to the recipient; constructing a unified model of the connected system post transplantation, the connected system including the transplanted organ or tissue from the intended transplant donor and the vascular system of the intended transplant recipient; receiving one or more blood flow characteristics of the connected system; assessing the suitability for an actual organ or tissue transplantation using the received blood flow characteristics; and outputting the assessment into an electronic storage medium or display.

Abstract: In accordance with an embodiment of the invention, a cloud computing system is disclosed. The system includes a software-defined data center (SDDC), the SDDC including at least one cluster supported within the SDDC and at least one host computer running within the cluster, wherein the at least one host computer is configured to support at least one workload comprising an operating system and an application, and a cloud infrastructure, the cloud infrastructure including at least one child VM, the at least one child VM configured to virtualize the at least one host computer running within the cluster, and at least one parent virtual machine, wherein additional child VMs are deployed by forking the at least one parent VM.

Abstract: Simulated network packets may be processed via a network processing pipeline. A packet processor may implement packet processing stages to process network packets received via physical network interface at the packet processor. A controller for the packet processor may provide simulated network packets to the packet processor for processing at the different packet processing stages, bypassing the physical network interface. Dummy simulated packets may be provided to or generated at the packet processor on behalf of the controller to be parsed, processed, and returned to the controller. Metadata simulated packets may be injected into the packet processing stages and recaptured in storage locations that are accessible to the controller.

Abstract: The disclosure notably relates to a computer-implemented method for displaying a simulation. The method includes computing a full simulation. The full simulation includes states. The method further includes computing a reduced model of the computed full simulation. The reduced model includes a basis with elements. Each state of the full simulation is represented by a respective linear combination of basis elements. The method further includes displaying, for at least one state of the full simulation, a part of the respective linear combination. This constitutes an improved method for displaying a simulation.

Abstract: This invention belongs to the technical field of cell mechanics and provides a modified method to fit cell elastic modulus based on Sneddon model. The process of the conical atomic force microscope probe compressing into the cell was simulated by ABAQUS. The simulation results are compared with the Sneddon model to get the error caused by Sneddon model. The fitting errors of Sneddon model under different circumstances were obtained by using the method of function fitting, so as to realize the modification of Sneddon model to fit cell elastic modulus. As a modified method to fit cell elastic modulus based on Sneddon model, it can be used to measure the elastic modulus of cells more accurately. The design process is convenient and fast. The design method is easy to master, and the process of use is convenient and simple.

Abstract: Examples of techniques for extracting hydrocarbons from a subterranean hydrocarbon reservoir based on an artificial lift plan are disclosed. In one example implementation according to aspects of the present disclosure, a method includes performing, by a processing device, an evaluation of an artificial lift approach that can be operated at a well having a subterranean hydrocarbon reservoir, the evaluation being based at least in part on a static factor associated with operating the artificial lift approach in the well and a dynamic factor associated with operating the artificial lift approach at a operating condition. The method further includes generating, by the processing device, an artificial lift plan based at least in part on the evaluation. The method further includes extracting the hydrocarbons from the subterranean hydrocarbon reservoir based on the artificial lift plan by operating, at the well, the artificial lift approach.

Abstract: A system configured to implement Comprehensive Contention-Based Thread Allocation and Placement, may generate a description of a workload from multiple profiling runs and may combine this workload description with a description of the machine's hardware to model the workload's performance over alternative thread placements. For instance, the system may generate a machine description based on executing stress applications and machine performance counters monitoring various performance indicators during execution of a synthetic workload. Such a system may also generate a workload description based on profiling sessions and the performance counters. Additionally, behavior of a workload with a proposed thread placement may be modeled based on the machine description and workload description and a prediction of the workload's resource demands and/or performance may be generated.

Abstract: A method of identifying inflow locations along a wellbore includes obtaining an acoustic signal from a sensor within the wellbore, determining a plurality of frequency domain features from the acoustic signal, and identifying, using a plurality of fluid flow models, a presence of at least one of a gas phase inflow, an aqueous phase inflow, or a hydrocarbon liquid phase inflow at one or more fluid flow locations. The acoustic signal includes acoustic samples across a portion of a depth of the wellbore, and the plurality of frequency domain features are obtained across a plurality of depth intervals within the portion of the depth of the wellbore. Each fluid flow model of the plurality of fluid inflow models uses one or more frequency domain features of the plurality of the frequency domain features, and at least two of the plurality of fluid flow models are different.

Abstract: 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.

Abstract: An improved manufacturing method includes virtually aligning scanned virtual vane components that are virtual electronic counterparts of separately manufactured and three-dimensionally scanned physical vane components used in gas turbine engines. The improved method performs virtual alignments for any of various possible virtual combinations of the virtual vane components to predict how their physical counterparts would likely behave in combination with each other before those physical counterparts are inseparably combined. One or more optimal virtual combinations are identified, in turn indicating optimal physical combinations to select to form physical vanes incorporated into one or more gas turbine engines, in turn improving the quality of the vanes and ultimately engine performance.

Abstract: Integrated process-structure-property modeling framework and method for design optimization and/or performance prediction of a material system are provided. The Integrated process-structure-property modeling framework includes a powder spreading model using a discrete element method to generate a powder bed; a thermal-fluid flow model of the powder melting process to predict voids and temperature profile; a cellular automaton model to simulate grain growth based on the temperature profile; and a reduced-order micromechanics model to predict mechanical properties and fatigue resistance of resultant structures by resolving the voids and grains.

Abstract: Provided are methods, systems, and computer-program products for recovering from intersections during a simulation of an animated scene when a collision detection operation is active. For example, the collision detection operation can be selectively activated and deactivated during the simulation of one or more objects for a time step based on an intersection analysis, which can identify intersections of the one or more objects for the time step. Once the collision detection operation is deactivated, a collision response can apply one or more forces to intersecting portions of the one or more objects to eliminate the intersections of the one or more objects. For example, a portion of a cloth that is in a state of intersection can be configured such that the collision detection operation is not performed on the portion, thereby allowing the cloth to be removed from inside of another object by a collision response algorithm.

Abstract: A flow analysis apparatus is provided. The flow analysis apparatus includes a flow analyzer configured to derive a plurality of output signals by performing flow analysis for a plurality of cells by using a flow analytic model for simulating numerical analysis by Computational Fluid Dynamics (CFD) with respect to a plurality of cells that divide a space around a component, and an analysis optimizer configured to perform optimization for the plurality of output signals.

Abstract: Original sensor data is received from one or more sensors of a vehicle. Free space around the vehicle is identified according to the sensor data, such as by identifying regions where data points have a height below a threshold. A location for an object model is selected from the free space. A plane is fitted to sensor data around the location and the object model is oriented according to an orientation of the plane. Sensing of the object model by a sensor of the vehicle is simulated to obtain simulated data, which is then added to the original sensor data. Sensor data corresponding to objects that would have been obscured by the object model is removed from the original sensor data. Augmented sensor data may be used to validate a control algorithm or train a machine learning model.

Abstract: A system and method for representing events that occur in a real world deployment is described. A real-world workload including multiple events is identified. Multiple characteristics of the real-world workload are converted into multiple endpoint simulator workloads. Multiple gateway hardware characteristics are converted into a modeling elements for simulated Internet of things (IoT) networks. Further, a simulation is performed for each of the endpoint simulator workloads on each of the simulated IoT networks. Also, statistics are collected about the performance of the simulated IoT networks for the endpoint simulator workloads.

Abstract: Original sensor data is received from one or more sensors of a vehicle. Free space around the vehicle is identified according to the sensor data, such as by identifying regions where data points have a height below a threshold. A location for an object model is selected from the free space. A plane is fitted to sensor data around the location and the object model is oriented according to an orientation of the plane. Sensing of the object model by a sensor of the vehicle is simulated to obtain simulated data, which is then added to the original sensor data. Sensor data corresponding to objects that would have been obscured by the object model is removed from the original sensor data. Augmented sensor data may be used to validate a control algorithm or train a machine learning model.

Abstract: A method simulates behavior of a structure by finite element calculation in which a global model represents the structure, a local model represents an area of the structure including geometric details, and an auxiliary model represents the area without the geometric details. The method includes determining by finite element calculation in the global model of a nodal displacement field corresponding to a loading applied to the global model; applying the nodal displacement field to the local and auxiliary models and determining the corresponding forces; calculating a correction when convergence of the solution obtained for the global model is not achieved, and the applying is resumed with a nodal displacement field calculated in the global model after implementing the correction; determining values of internal variables for the different loading increments; and assessing the evolution in the behavior of the structure over time as a function of these values.

Abstract: The present invention relates to a method of dental implant treatment planning, a device and a recording medium therefore. The device for dental implant treatment planning according to the present invention can move or rotate the grouped objects together in 2D or 3D model about teeth arrangement for implant treatment planning with grouping function of the implant objects. So, it decreases complexity of manipulation of the implant objects, provides users with convenience to easily modify position or size of the implant objects, and improves the accuracy of the modification.