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6 results about "Nonlinear property" patented technology

Hydraulic fracturing induced event prediction

PCT designated stageWO2026036025A1Mathematical modelsEnsemble learningHydraulic fracturingNonlinear property
Methods and systems for predicting events during hydraulic fracturing of a target subterranean formation, inccluding: obtaining a time-series of measurements associated with the hydraulic fracturing; decomposing the measurements into a plurality of respective components that collectively represent nonstationary and nonlinear properties of the pressure measurements; extracting respective attributes that are representative of events occurring in the target subterranean formation from the respective components; and predicting, based on the extracted attributes, a likelihood of one or more future events being induced by the hydraulic fracturing.
Owner:SHEAR FRAC GRP LLC

A multi-platform based medical device data management system

The application discloses a kind of medical equipment data management systems based on multi-platform, the present application relates to medical data management technical field, the present application is judged for the shunt sequence of nonlinear property, further judge whether it can be converted into linear property, based on the judgment result further distinguishes processing to shunt sequence, for any one shunt sequence, based on its linear property can be selected to adopt three different conversion modes to convert it, greatly increase the difficulty of medical extraction data cracking and tamper resistance, using conversion logic to replace the mode of key encryption, avoid the risk of key loss, save the cost of management key, and conversion logic is even partially cracked, based on the three different conversion modes of the present application, it is also difficult to calculate the complete data, in the key dependence of getting rid of also guarantee the anti-cracking ability of medical extraction data, guarantee the security of medical data transmission.
Owner:THE FIRST AFFILIATED HOSPITAL OF ARMY MEDICAL UNIV

A nonlinear phase change viscosity correction cavitation turbulent large eddy simulation method

The present application relates to the technical field of fluid machinery computational fluid dynamics, in particular to a cavitation turbulent large eddy simulation method of nonlinear phase change viscosity correction, in the method, based on the local gas content, the effective dynamic viscosity of the fluid is updated by using a nonlinear hybrid dynamic viscosity empirical formula, the nonlinear hybrid dynamic viscosity empirical formula is used for characterizing additional dissipation generated in the gas-liquid mixing area due to interphase interaction; based on the updated flow field, the sub-grid stress is calculated, and a dynamic coefficient damping formula based on cavitation intensity is introduced to correct the core coefficient of the sub-grid model, and the corrected sub-grid turbulent viscosity is obtained. Through the construction of multiphase flow control equation, dynamic sub-grid modeling, nonlinear property updating and flux reconstruction technology, the simulation accuracy and numerical stability of complex cavitation flow are significantly improved, and a high-precision numerical simulation tool is provided for the design optimization and cavitation suppression of hydraulic machinery such as water turbines, water pumps and propellers.
Owner:HOHAI UNIV

Intelligent molecular design method based on mathematical programming method and skeleton-group coupling

The invention discloses an intelligent molecular design method based on a mathematical programming method and skeleton-group coupling. According to the algorithm, a Beis-Murcko skeleton and a group fragment are taken as structural members, a potential skeleton subset is obtained through skeleton similarity retrieval, and a candidate structure space is constructed; on the basis, fragment selection and counting of candidate molecules are modeled as a mixed integer nonlinear programming (MINLP) problem, and structural feasibility constraints, property threshold constraints and scores / probabilities output by a deep learning model are uniformly introduced as target functions or constraint conditions. Meanwhile, an improved SMILES-based structure generation mechanism is adopted in the algorithm to establish consistency bridging between a fragment set and structure character string representation in the solving process, a fragment feasible solution is generated in combination with a decomposition solving strategy, and then structure representation generation and nonlinear property / model evaluation screening are carried out. And finally, outputting a molecular structure which meets the constraint and is optimal or approximately optimal in target.
Owner:DALIAN UNIV OF TECH

Control model generation device and control model generation method

A control model generation device configured to include: an observation value acquisition unit (1) for acquiring a plurality of observation values ​​that are outputs of a control target having nonlinear properties; a state-space model estimating unit (2) for estimating a state-space model expressing a linear approximation curve with respect to the plurality of observation values ​​acquired by the observation value acquisition unit (1); and an upper bound model estimating unit (3) for calculating a determination error and estimating an upper bound model expressing an upper bound of the determination error, wherein the determination error is an error between each of the observation values ​​acquired by the observation value acquisition unit (1) and the linear approximation curve expressed by the state-space model estimated by the state-space model estimating unit (2).Furthermore, the control model generation device includes a control model generation unit (4) for generating a control model that expresses an equation of motion of the controlled target using the state space model estimated by the state space model estimating unit (2) and the upper bound model estimated by the upper bound model estimating unit (3).
Owner:MITSUBISHI ELECTRIC CORP

A novel method for evaluating the lubrication performance of modified tooth surfaces of spiral bevel gears

PendingCN122087989AGeometric CADSustainable transportationNumerical modelsNonlinear property
This invention proposes a novel method for evaluating the lubrication performance of modified tooth surfaces of spiral bevel gears. First, based on load-bearing meshing contact analysis, the comprehensive curvature, entrainment velocity, sliding velocity, and load distribution of the contact points throughout the entire meshing cycle are extracted. Second, a transient thermo-elasto-fluidic lubrication numerical model is established to couple elastic deformation, energy equations, and nonlinear properties of the lubricating oil. Then, an algorithm is used to solve for the oil film pressure field, temperature field, and film thickness distribution. This invention can objectively quantify the lubrication performance of the novel modified tooth surface under high-speed, heavy-load conditions, focusing on how to scientifically and accurately evaluate the lubrication benefits brought by the modification. It provides reproducible and quantifiable technical support for the optimized design and engineering verification of high-performance spiral bevel gears, and offers a certain theoretical reference for evaluating the lubrication performance of complex spiral bevel gear tooth surfaces.
Owner:FUZHOU UNIV