Abstract: In a method for designing a high-rigidity blade based on stochastic isogeometric analysis, the models of stochastic fields of the material property and the external load of the blade are established based on manufacturing conditions and service environment of the blade; an optimization model of the blade is established according to high-rigidity design requirements of the blade and a constraint condition of lift-drag ratio, which is then solved. In the solution procedure, a stochastic isogeometric analysis method is used to calculate the stochastic displacement of the blade under the influence of the randomness of the material property and the external load, and the maximum lift-drag ratio of the blade airfoil is also calculated, based on which the fitness values of individuals in the current population are calculated, so that the high-rigidity design of the blade is realized in the premise of ensuring the lift-drag ratio.

Abstract: A region of a CAD model is obtained via user drawing of a boundary for the region in a GUI. The boundary entirely encloses one or more entities and intersects one or more entities. For each intersecting entity, a reference point on the intersecting entity and a reference direction at the reference point are determined. Based on the reference points and reference directions, a candidate set of candidate entities which are spatially compatible with the intersecting entities is searched. A spatial transformation which maps each reference point and reference direction onto a candidate entity of the candidate set is computed. The one or more entirely enclosed entities are replicated according to the spatial transformation, or replication is suggested via a visualization means. In an embodiment, the CAD model is two-dimensional, the intersecting entities are curves, and the reference direction of an intersecting curve is tangent to the intersecting curve.

Abstract: The constrained watershed boundary (CWB), defined as a polygon containing all the flow direction grid cells with a surface flow distance less than a user prescribed threshold uses an algorithm that builds upon the HSM algorithm proposed and augments the data structure with a flow distance grid calculated directly from the original flow direction grid.

Abstract: A method for determining an attenuation of a wind caused by a simulated obstacle and experienced by a simulated vehicle in a simulation, comprising: receiving a wind direction and an initial speed for a simulated wind; generating a line of sight vector having a source position, a given direction and a given length, the given direction being one of opposite to the wind direction and identical to the wind direction; determining a distance between the simulated obstacle and the simulated vehicle using the line of sight vector, the distance being at most equal to the given length of the line of sight vector; determining a wind attenuation gain using the distance between the simulated obstacle and the simulated vehicle; determining an actual speed for the simulated wind using the initial speed of the simulated wind and the gain for the wind attenuation; and outputting the actual speed.

Abstract: A data processing method for an analogue modelling experiment of a hypergravity geological structure includes steps of: performing two-dimensional photographing and three-dimensional elevation scanning with an analogue modelling experiment device with a curved model surface for the hypergravity geological structure, so as to collect initial elevation data and initial velocity field data; and correcting the initial elevation data and the initial velocity field data to obtain corrected elevation data and corrected velocity field data. The data processing method can realize orthographic correction and three-dimensional projection transformation of initial elevation data, as well as orthographic correction and two-dimensional projection transformation of initial velocity field data, which can more realistically and objectively reflect the experimental phenomenon, which is conducive to truly expressing the experimental results and facilitates the analogy analysis with the actual geological prototype.

Abstract: Disclosed herein are methods, systems, and devices for providing customized electric vehicle (EV) chargers. In one embodiment, a device is disclosed that includes a processor, a memory electrically coupled with the processor, a display electrically coupled with the processor, and an enclosure. The enclosure includes a mounting arrangement for securing the device to an EV charger. The device also includes a first communication interface electrically coupled with the processor. The first communication interface is configured for direct connection to the EV charger. The device further includes a second communication interface electrically coupled with the processor. The second communication interface is configured for connection to an internet protocol (IP) network.

Abstract: The disclosure notably relates to computer-implemented method for learning a neural network configured for inference, from a freehand drawing representing a 3D shape, of a solid CAD feature representing the 3D shape. The method includes providing a dataset including freehand drawings each representing a respective 3D shape, and learning the neural network based on the dataset. The method forms an improved solution for inference, from a freehand drawing representing a 3D shape, of a 3D modeled object representing the 3D shape.

Abstract: Machine assisted systems and methods for enhancing the resolution of an IC thermal profile from a system analysis are described. The methods can include generating a representation of two or more templates identifying different portions of an integrated circuit (IC); performing a thermal simulation for each respective template of the IC based on a sequence of power patterns of tiles of the respective template; and training a neural network with a plurality of training data collected via thermal simulations performed for the templates of the IC. These systems and methods can use a machine learning predictor, that has been trained to determine a transient temperature rise across an entire IC, and then append the determined transient temperature rise to a system level thermal profile of the IC.

Abstract: Various computer-implemented methods for utilizing a modified upper confidence bound (UCB) in an agent-simulator environment in well placement planning for oil fields are disclosed herein. A set of well placement sequences for placing well in a geographical region may be received, where each well placement sequent defines a sequence of multiple oil wells to be placed within the geographical region. A computer-implemented simulation may be executed on each of the well placement sequences to determine, for each of the well placement sequences, a reward based upon a calculated hydrocarbon recovery and a cost of the calculated hydrocarbon recovery. The well placement sequences may be iteratively selected for the computer-implemented simulations using the modified UCB algorithm and based upon the rewards determined for each of the plurality of well placement sequences.

Abstract: A method includes receiving first data and building a first model of a well based at least partially upon the first data. The method also includes receiving second data and building a second model including a network of flowlines based at least partially upon the second data. At least one of the flowlines is connected to the well. The method also includes combining the first model and the second model to produce a combined model. The method also includes calibrating the combined model to produce a calibrated model. Calibrating the combined model includes receiving measured data, miming a simulation of the combined model to produce simulated results, and adjusting a calibration parameter to cause the simulated results to match the measured data. The calibration parameter includes a productivity index of a fluid flowing out of the well. The method also includes updating the calibrated model to produce an updated model.

Abstract: Method for using sensitivity analysis to inform the design and performance of a well test are provided. In one embodiment, a method includes providing a reservoir model of pressure transient behavior and performing a sensitivity analysis to identify an input parameter of the reservoir model that can be estimated from pressure transient test data collected from a well location. This method also includes using the results of the sensitivity analysis to design a pressure transient well test for measuring the identified input parameter. Other methods and systems are also disclosed.

Abstract: Conventionally, manufacturing of molded parts using composite materials has led to poor dimensional accuracy and tensile strength due to improper curing thus resulting in rejection or early/premature failure of composite part. Embodiments of the present disclosure provide simulation-based systems and methods for manufacturing/generating molded parts using reinforced composite materials. The optimized cure cycle is computed for a given component without carrying out numerous experiments. The present disclosure implements multiscale method and surrogate modeling in virtual testing for more accurate and faster manufacturing of molded parts. Process parameters for specified qualities (e.g., minimum residual stresses, minimum deformation, etc.) required for a part are determined along with least process manufacturing time. The resulting optimized time dependent cure cycle for each thermal zone of the heated mold is transferred to a master controller (e.g.

Abstract: Example implementations relate to simulating an environment. For example, a system for environment simulation may include a simulation engine to build an environment simulation to mimic portions of a real environment relevant to a detected anomaly trend, an acceleration engine to simulate, within the environment simulation, a scenario associated with the detected anomaly at a rate faster than the scenario occurs in the real environment, a abnormal behavior engine to detect a abnormal behavior associated with the scenario, and an adaptation engine to modify a device within the real environment to be adaptive to the scenario, based on the detected abnormal behavior.

Abstract: Various embodiments set forth systems and techniques for assessing sustainability of a building design. The techniques include receiving a building design for a budding and sustainability certification data describing a plurality of sustainability certification systems; selecting one or more particular sustainability certification systems from the plurality of sustainability certification systems; computing a respective sustainability certification value for each sustainability certification system of the one or more particular sustainability certification systems; and performing one or more building design operations based on sustainability certification system values for the one or more particular sustainability certification systems.

Abstract: An interactive design tool may be configured for real-time architectural adaptation. This may include a user device including a hardware processor, physical memory and a user interface. The user device may provide operations to generate a virtual reality (VR) architectural session including a toolbelt with a virtual selection tool for adaptation of at least one of an environment, an object and an avatar. The operations may further include to receive or select a selection spot on the object by a projection between the virtual selection tool and the object, receive or select an adaptation relative to at least one of the object, the environment and the avatar; and display the adaptation to the at least one of the object, the environment and the avatar in real-time during the VR architectural session.

Abstract: A full-scale resistance prediction for ships. More particularly, the invention is directed to full-scale resistance predictions for ships using model scale resistance tests. This process involves the designing of a momentum thickness similarity simulator for a model, to accurately determine a model resistance and ultimately to predict a ship resistance. The simulator modifies the geometry of the model, and its design is optimized to accurately predict the ship resistance. The simulator may be an external device such as a wire ring (trip wire), sand paper, or a Hama strip, or the simulator may be integrally formed on the body of the model.

Abstract: A method and an apparatus for optimizing diagnostics of rotating equipment is provided. The apparatus includes a device for providing status information about status of the rotating equipment over a series of time windows whereby status can be derived from sensor features of at least one available sensor taking measurements during a predefinable time period, a device for using deep learning which combines provided historic sensor information with sequence of events data indicating warnings and/or alerts of the rotating equipment, whereby status information is supplemented with via deep learning predicted probabilities whether a warning and/or an alert has occurred within a time window, device for providing an amount of textual diagnostic knowledge cases, device for extracting semantic information on text features from the textual diagnostic knowledge cases, and device for combining status information and semantic information into a unified representation enabling optimization of the diagnostics.

Abstract: Systems and methods provide a platform for a digital avatar that represents a particular physical device or a process using one or more processors and memory storing instructions. The instructions that, when executed by one or more processors, are configured to implement the digital avatar. The digital avatar includes a system model for the particular physical device or the process configured to receive data and to process the data to model other parameters or behaviors of the particular physical device or process. The digital avatar includes a model calibration module configured to calibrate the system model during operation of the particular physical device or process to provide an up-to-date evergreen model that is customized for the particular physical device or process due to changes in characteristics of the particular physical device or the process.

Abstract: Various embodiments set forth systems and techniques for determining expandability of a budding design. The techniques include receiving a building geometry indicating a size of a building and a shape of the building; receiving building placement data indicating a placement of the building within a site; identifying one or more remaining spaces within the site based at least on the size of the building, the shape of the building, and the placement of the building within the site; for each remaining space of the one or more remaining spaces: determining whether the remaining space is a usable space; based on the determining whether the remaining space is a usable space, generating a space expansion value corresponding to the remaining space; and computing, based on space expansion values corresponding to the one or more remaining spaces, one or more aggregate expansion values associated with the building geometry and the building placement.

Abstract: Systems, methods, and computer-readable media for emulating a state of a network environment for purposes of re-executing a network assurance appliance in the emulated state of the network environment. In some embodiments, a method can include receiving snapshot data for a network environment corresponding to a specific time in the network environment and including network events occurring in the network environment generated by a network assurance appliance. A state of the network environment at the specific time can be emulated using the snapshot data to create an emulated state of the network environment. Subsequently, the network assurance appliance can be re-executed in the emulated state of the network environment corresponding to the specific time and the network assurance appliance can be debugged outside of the network environment based on re-execution of the network assurance appliance in the emulated state of the network environment.