Abstract: An integral reinforcement design method of an external frame-brace based on a random capability spectrum is provided, and the reinforcement design method includes: evaluating an original structure before reinforcement by using a random capability spectrum method; performing a reinforcement analysis on an external frame-brace sub structure by using the random capability spectrum method to obtain a reinforced structure; and performing a reinforcement verification on the reinforced structure by using the random capability spectrum method. A performance based integral reinforcement design of the external frame-brace sub structure is achieved through considering uncertain factors, as well as capability spectrums and demand spectrums before and after the reinforcement, and converting the integral structure to equivalent single degree of freedom to obtain performance points.

Abstract: Disclosed is a fracture plugging simulation experimental device and an experimental method thereof. The device comprises a simulated wellbore, a simulated formation, a simulated fracture, a plurality of pressure sensors and vales, a mixing barrel, a liquid injection port and a pressurization port, a liquid collection tank, a plugging fluid storage tank, a heating device, etc. The method comprises: loading the simulated formation with the simulated fracture in the simulated wellbore, closing the second valve and turning on the mixing device, injecting a lost circulation material into the mixing barrel, closing the liquid injection port and turning on the heating device and pressurizing, stopping pressurizing and opening the second valve to establish a plugging process, turning on the plunger pump to continue pressurizing, and collecting a fluid pressure change of the simulated fracture in the plugging process; and calculating a pressure-bearing capacity of plugged fracture.

Abstract: A method for preparing an additive manufacturing program includes a loading step, a dividing step, an overhang calculating step, a subdividing step, a maintaining step, and an outputting step. In the loading step, a three-dimensional model is loaded. In the dividing step, the three-dimensional model is divided into divided layers. In the overhang calculating step, an overhang angle or overhang length of the divided layer is calculated. In the subdividing step, at least a part of the divided layer including an overhang portion is subdivided into two or more in a lamination direction. In the maintaining step, neither subdivision of the divided layer nor addition of a support structure supporting the divided layer is performed. The subdividing step and the maintaining step are selectively performed based on the overhang angle or overhang length. In the outputting step, an additive manufacturing program defining a command pertaining to additive manufacturing is output.

Abstract: A system for determining pressure in a hydraulic fracturing system for a well includes a processing module executing code and configured to receive a plurality of input parameters. The processing module can predict either a bottomhole pressure, based on statistical predictions and physics-based predictions, or a surface pressure based on the predicted bottomhole pressure.

Abstract: A method of training a control strategy for a control. An exploration strategy for a current version of the control strategy is determined in each of several iterations. Several simulation runs are carried out, in each of which an action is selected in accordance with the exploration strategy, and it being checked if the selected action is safe, until a safe action has been selected or a maximum number of actions greater than or equal to two has been selected. A follow-up state of the state in the sequence of states is ascertained. The sequence of states are collected as data of the simulation run; for the iteration. The value of a loss function is ascertained over the data of the executed simulation runs and the control strategy is adapted so that the value of the loss function is reduced.

Abstract: A core simulator includes one or more simulated processors, a trace-based traffic generator, and a simulated memory subsystem. Each simulated processor includes a core element and at least one lower-level cache excluded from the core element. The trace-based traffic generator includes a plurality of modeled caches that model the at least lower-level cache without modeling the core element. The trace-based traffic generator is configured to receive at least one workload trace and based on the workload trace simulate actual memory traffic to be processed by the simulated memory subsystem. The simulated memory subsystem is shared between the at least one simulated processor and the trace-based traffic generator. The trace-based traffic generator performs a data exchange with the memory subsystem based on the at least one workload trace. The data exchange impacts a measured performance of the at least one simulated processor.

Abstract: A method including obtaining information about a trailer that has been partially loaded with preloaded stacks in a manner that deviates from an original load design. The trailer is loaded with stacks of pallets including (i) the preloaded stacks that have already been loaded in the trailer and (ii) unloaded stacks that have not yet been loaded into the trailer. The method also can include determining positions of empty floor spots remaining in the trailer. The method additionally can include determining a first portion of an incremental load design for the unloaded stacks using a gap-filling pattern behind an uneven rear edge of the preloaded stacks in the trailer. The method further can include determining a second portion of the incremental load design.

Abstract: A mask estimation apparatus includes processing circuitry configured to estimate, for a target segment to be processed among a plurality of segments of a continuous time, a first mask which is an occupancy ratio of a target signal to an observation signal of the target segment, based on a first feature obtained from a plurality of the observation signals of the target segment recorded at a plurality of locations, and estimate a parameter for modeling a second feature and a second mask which is an occupancy ratio of the target signal to the observation signal based on an estimation result of the first mask in the target segment and the second feature obtained from the plurality of the observation signals of the target segment.

Abstract: Disclosed are a method and a system for correlating hydro-turbine governing system control parameters and oscillation characteristics, and the method includes the steps: calculating a eigenvalue, a zero point and a pole of a state matrix in a hydro-turbine governing system state space model, taking a pole which is the closest to the imaginary axis and has no zero point in a preset distance as a dominant eigenvalue; determining an oscillation characteristic region of the hydro-turbine governing system on the complex plane according to the dominant eigenvalue; obtaining a system control parameter stability domain according to a Hurwitz stability criterion; and calculating dominant eigenvalues corresponding to different control parameters, classifying the control parameters according to an oscillation characteristic region of a complex plane where the dominant eigenvalue is located, and dividing the oscillation characteristic region in a system control parameter stability domain.

Abstract: Provided is a modeling device performing calculation using an amplifier model that models an amplifier of which an internal state affecting a distortion characteristic varies, wherein the amplifier model includes a plurality of calculation models that model the amplifier in different internal states, and a combiner that combines the plurality of calculation models at a combination ratio corresponding to the internal state that varies.

Abstract: A component of the technical system, a component designation and a characteristic parameter designation for a characteristic parameter of relevance to the design of the components are read and a search engine is queried with same is provided. The documents found by the search engine are read and component information, e.g. product information concerning a specific component, is extracted from said documents. The extracted component information is supplied to a machine learning routine which has been trained, using a plurality of predefined training component information and training characteristic parameter values, to reproduce predefined training characteristic parameter values using predefined training component information. Output data from the machine learning routine is selected as characteristic parameter values and inserted into a planning data record. The planning data record is then output to design the technical system.

Abstract: Systems and methods for optimizing parameters of an orthopaedic procedure for a particular patient, including parameters relating to the anatomic and biomechanic fit of an implant or implant system implanted into the patient's joint. These systems and methods may utilize patient-specific information gathered pre-operatively in conjunction with optimization algorithms to determine an optimal implant design and an optimal position and orientation for implantation of the implant into the particular patient's joint.

Abstract: Methods for modeling contact pairs in a model of a physical object include generating a contact pair including a contact surface and a target surface, where the contact pair further includes contact elements of the contact surface and the target surface, splitting the contact pair into contact sub-pairs along splitting boundaries, augmenting each contact sub-pair with contact elements from adjacent contact sub-pairs at the splitting boundaries, distributing the augmented contact sub-pairs to a plurality of parallel processors for finite element solutions of the contact sub-pairs, receiving the finite element solutions of the contact sub-pairs from the plurality of parallel processors, and combining the finite element solutions of the contact sub-pairs into finite element solutions of the contact pair.

Abstract: The disclosure relates to methods and related systems for precision crop modeling and management using the same. Precision crop modeling and management can be incorporated into various methods for growing plants such as crop plants and various methods for managing the growth of such plants in a particular field. The methods generally utilize in-season information relating to weather conditions actually experienced by the field to prepare mid-season, updated crop management plans. A crop management plan is determined using a crop model incorporating a variety of inputs and plant-specific material and energy balances to specify one or more grower-controlled management parameters. An updated plan for a given field can be followed by a grower to increase crop yield and/or optimize one or more other crop or field parameters.

Abstract: Methods and systems are disclosed for generation of cellular lattice kernels optimized by multiple objectives for highly specific targeted properties of geometry and topology rather than state of the art methods that rely on a predefined kernel library. Using a characterization of virtual kernel features, bulk material properties can be predicted using approximations from the virtual kernel rather than having to rely solely on experimental finite element simulations of lattice structures.

Abstract: A selection system for hydraulic circuits has a cylinder selection processing unit; a database in which information pertaining to a combination of a plurality of apparatuses is registered in advance; combination selection processing units for reading information pertaining to the combination of the plurality of apparatuses in order of size from the database, and selecting an apparatus; and re-selection processing units for re-selecting an apparatus that is the next size up when a stroke time obtained by a simulation including some of the apparatuses selected by the combination selection unit exceeds an upper-limit stroke time, or when pressure after a return process is less than or equal to minimum working pressure.

Abstract: A system includes a processor and a memory. The memory includes instructions that are executable by the processor to access training data of a modern feature of interest from direct observations, remotely determined data, or a combination thereof. The instructions are also executable to compile parameter data from at least one model simulation that impacts the modern feature of interest. The instructions are executable to train a machine-learning model to generate a predictive model that matches the training data of the modern feature of interest using the compiled parameter data as input. Furthermore, the instructions are executable to predict a feature of interest in a past time period using the predictive model and at least one historical model simulation that impacts the feature of interest. Additionally, the instructions are executable to execute a processing operation for facilitating hydrocarbon exploration based on the predicted feature of interest from the predictive model.

Abstract: A model estimator (11) estimates a model function of an analyzing system (20) based on target observation data and reference observation data. For this estimation, the amount of variation between the model of the target system and that of a reference model is estimated from the target observation data and reference observation data. The model function of the target model is estimated after the observation data are corrected based on the estimated amount of variation. A parameter determiner (12) calculates an acquisition function based on the mean and covariance of the model function, and determines a parameter value for the next observation, using the acquisition function. A data acquirer (13) sets the parameter value in the analyzing system (20) and acquires a corresponding observed value. A loop process with the feedback of the observation data is repeated to determine an optimal parameter value.

Abstract: Provided in the present invention are a geologically constrained infrared imaging detection method and system for an urban deeply-buried strip-like passage, pertaining to the crossing fields of geophysics and remote sensing technology.

Abstract: A robotic assembly cell is configured to generate a physical mesh of physical polygons based on a simulated mesh of simulated triangles. A control application configured to operate the assembly cell selects a simulated polygon in the simulated mesh and then causes a positioning robot in the cell to obtain a physical polygon that is similar to the simulated polygon. The positioning robot positions the polygon on the physical mesh, and a welding robot in the cell then welds the polygon to the mesh. The control application captures data that reflects how the physical polygon is actually positioned on the physical mesh, and then updates the simulated mesh to be geometrically consistent with the physical mesh. In doing so, the control application may execute a multi-objective solver to generate an updated simulated mesh that meets specific design criteria.