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197 results about "Volume Unit" patented technology

A unit of volume is a unit of measurement for measuring volume or capacity, the extent of an object or space in three dimensions. Units of capacity may be used to specify the volume of fluids or bulk goods (e.

Self-born acid composite acid fracturing process for high-temperature deep well carbonate rock reservoir

The invention relates to a self-born acid composite acid fracturing process for a high-temperature deep well carbonate rock reservoir. The process comprises the following work procedures of: (1) injecting slick water into a stratum through an oil pipe; (2) injecting non-crosslinked fracturing liquid into the stratum through the oil pipe; (3) injecting a self-born acid system into the stratum through the oil pipe; (4) injecting a gelled acid system into the stratum through the oil pipe in a low-displacement mode; and (5) injecting the slick water into the stratum through the oil pipe, wherein the volume proportions of liquid, accounting for the total liquid injected into the stratum, injected in the first to fifth work procedures are shown as follows: the slick water in the first work procedure accounts for 3 to 10 percent; the non-crosslinked fracturing liquid in the second work procedure accounts for 40 to 60 percent; the self-born acid system in the third work procedure accounts for 30 to 50 percent; the gelled acid system in the fourth procedure accounts for 3 to 10 percent; the volume proportion of the slick water in the fifth work procedure is 3 to 15 percent; and the volume unit is m<3>. Through the self-born acid composite acid fracturing process, the flow guide capability is improved by more than 140md.m, and the deep penetration effect of the high-temperature deep well carbonate rock reservoir is obvious.
Owner:CHINA PETROLEUM & CHEM CORP

Godunov format one-dimensional and two-dimensional coupling technology-based mountain flood numerical simulation method

ActiveCN106599457AHigh simulationFacilitate the completion of flash flood risk analysisClimate change adaptationDesign optimisation/simulationWater volumeCoupling
The invention provides a Godunov format one-dimensional and two-dimensional coupling technology-based mountain flood numerical simulation method. The method comprises the steps of acquiring corresponding data, discretizing a slope surface of a small watershed in a mountainous and hilly area by adopting a quadrilateral unstructured grid firstly, describing a motion process of overland flow of mountain flood by adopting a complete two-dimensional shallow water equation, taking a rainfall process as a driving item of a two-dimensional model, and calculating a numerical flux at a grid interface by adopting a Roe format; discretizing a mountain flood channel by adopting a one-dimensional finite volume unit, calculating a numerical flux at a unit interface by adopting an HLL format, and performing centralized inflow processing on inflow of a two-dimensional slope surface in one dimension; and realizing water volume exchange calculation of the two-dimensional slope surface and the one-dimensional channel by adopting a weir flow formula. According to the method provided by the invention, not only water power information of the mountain flood in the channel but also detailed water power information of the mountain flood on the watershed surface can be obtained; and the method has a clear physical mechanism, and only the roughness parameter of the whole model needs to be calibrated, so that the method is still suitable for areas lack of hydrological data.
Owner:CHINA INST OF WATER RESOURCES & HYDROPOWER RES

Method for generating random structure of continuous fiber composite material and predicting elastic performance of continuous fiber composite material

The invention provides a method for generating a random structure of a continuous fiber composite material and predicting the elastic performance of the continuous fiber composite material. The method comprises the following steps: generating a fiber model by a particle swarm algorithm, and optimizing the fiber model according to fiber jumping treatment to obtain particle space random distribution information for generating a three-phase RVE finite element model; and performing finite element simulation operation on the three-phase RVE finite element model to obtain a prediction result. Based on a representative volume element generation strategy of the particle swarm algorithm, the distance among fibers is controlled by the particle swarm algorithm in the process of generating the representative volume element, the requirement for the material volume percentage is fulfilled while fiber random distribution is ensured; and based on efficient generation of the representative volume unit and a homogenization theory, an elasticity prediction finite element model is established, a periodic boundary condition is applied, and the elasticity performance prediction result of the material can be obtained by microscomic finite element simulation, so that the efficiency of elasticity performance prediction is improved.
Owner:SHANGHAI JIAO TONG UNIV

Three-dimensional woven material based on space group P*

The invention relates to a three-dimensional woven material based on symmetry of a space group, the woven geometric structure of the woven material is the structure which extends and is woven in three-dimensional space in the form of continuous yarns, the yarn section in a representative volume unit in the woven geometric structure can meet the symmetry of points described in a space point group,and the woven structure integrally shows three-dimensional woven fabric, which is mutually interwoven in the three-dimensional space and obtained by using translation symmetrical operation described by the space group to carry out translation on the representative volume unit. The new three-dimensional woven geometric structure which meets the symmetry of the space group is deduced via the woven material by taking the representative volume unit capable of meeting the symmetry of the point group as a basic structure unit, and a new three-dimensional woven material type with excellent geometricstructure and performance can be obtained by studying the process feasibility and predicting the fiber content, by volume percentage, of the corresponding three-dimensional woven fabric. An array of the woven material adopts the shape of a regular hexagon, so that the motion trajectory of a yarn carrier is convenient to realize, and the production is easy to organize.
Owner:HENAN UNIV OF SCI & TECH

Macro-performance prediction method for short-fiber reinforced composites based on deeplearning

The invention discloses a macro-performance prediction method forshort-fiber reinforced composites based on deep learning. The steps include generating a representative volume unit by using a random adsorption method, calculating the macro-performanceof the material based on the homogenization method of the numerical simulation, and establishing a training sample set corresponding to the macro-performance of the fiber distribution image, and constructing a training convolutionalneural network and the like on the basis of the training sample set. The method combines the advantages of deep learning in the field of image recognition and uses convolutional neural networks to extract features. Through fitting the sample distribution, the accurate and fast response relationship between the fiberdistribution images and the macro-performance is realized.The method solves the problem that the traditional machine learning method is used as a proxy modelin which the extracted the features of thefiber distribution information are incomplete and the training precision is low. Furthermore, considering that the number of network layers is deepened and the training samples are less likely to beoverfitted, the sample is expanded by using the rotation and symmetric transformation of the fiber distribution image, so that the training precision is effectively improved, and the model maintainsgood robustness withina certain range outside the sample space.
Owner:BEIHANG UNIV
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