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1176 results about "Optimal design" patented technology

In the design of experiments, optimal designs (or optimum designs) are a class of experimental designs that are optimal with respect to some statistical criterion. The creation of this field of statistics has been credited to Danish statistician Kirstine Smith.

Computer-implemented automated building design and modeling and project cost estimation and scheduling system

InactiveUS6859768B1Reduction in building delivery timeProductionGeometric CADBuying/selling/leasing transactionsObject compositionBuilding design
A computer-implemented automated building design and modeling and construction project cost estimating and scheduling system (“DMES system”) is described. The DMES system provides a central source for all of the design and construction information for a construction project in a coordinated two-dimensional and three-dimensional spatial database that is freely accessible by all of the members of an interdisciplinary construction project team as a means to produce automatically coordinated design development and construction document information. The DMES system acquires and stores all of the appropriate design, engineering, and construction expertise and information available for any building type for use in automatically assembling and coordinating the design, cost-estimating, and scheduling for a construction project. In one embodiment, the DMES system consists of a plurality of objects, comprising elements and massing elements arranged in an assembly hierarchy. Each of the objects includes programming code that defines an interface and discrete internal functions that define its behavior. When instantiated in the database, the objects automatically create further instances of other objects in the hierarchy, which in turn do the same, thus assembling a complete building model automatically from the initial manually-placed instance. The building model enables automatic generation of drawings and cost and scheduling information. By running automatic iterations of the building model, multiple designs may be evaluated to determine the optimum design.

Finite element preprocessing method for reconstructing three-dimensional entity model

A finite element pre processing method for reconstructing a three-dimensional entity model comprises the steps that first, a material object is scanned so that point cloud data can be acquired; second, the point cloud data are imported to 3-matic software, and the position of the model is adjusted; third, the point cloud data are de-noised and sampled; fourth, three-dimensional reconstructing of the point cloud data is performed through a computer, wherein the point cloud data are packaged so that a surface mesh model can be generated; fifth, thin wall characteristic analysis is performed on the model so that a basic model structure can be known; sixth, three-dimensional repair is performed on model meshes, so that the edges of the model are matched with the defect contour of the material object; seventh, the model is redesigned as required, and thus the structure of the model can be more reasonable and meet the design requirement; eighth, the meshes of the redesigned model are partitioned again; ninth, a volume mesh is generated, material attributes are added, and the new model is saved in the format through which finite elements can be directly analyzed; tenth, finite elements are analyzed. Through the method, the scanned data processing time is shortened and FEA/CFD pre processing time are shortened, and optimal design of the model can be conveniently performed.

SDN-based tiered routing path determination method and device

An embodiment of the invention provides an SDN-based tiered routing path determination method and device that are applied to an inter-domain controller and an intra-domain controller in a software-defined network; the SDN-based tiered routing path determination method comprises the following steps: a cross-domain request of a data flow sent by the intra-domain controller is obtained; according to the cross-domain request, a start point network domain and an intermediate network domain where a source node is positioned are determined; network performance information sent by the intra-domain controller is obtained; according to the network performance information and a plurality of preset cross-domain route selection strategies, an optimal routing path for transmitting the above data flow in all network domains is determined; according to the start point network domain and the intermediate network domain, boundary information of a first network domain and boundary information of a second network domain are determined and sent to the intra-domain controller, and the intra-domain controller is enabled to determine the optimal routing path for data transmission in the network domains. Via the SDN-based tiered routing path determination method and device, optimal design of a cross-domain routing path can be realized.

Multi-objective hybrid particle swam optimization design method for double-fed wind power generator

The invention belongs to the field of motor optimization designs, and relates to a multi-objective hybrid particle swam optimization design method for a double-fed wind power generator. The method comprises the following steps of: (1) determining a constraint condition and a to-be-optimized design variable of the double-fed wind power generator, and establishing sub-objective function equations to form a multi-objective function; (2) constructing variable space by using the to-be-optimized design variable, and constructing non-dominated solution sets of population according to the quality of an objective value; (3) ordering the non-dominated solution sets according a Pareto domination mechanism, determining a population niche by taking a non-dominated solution as a core, establishing a particle speed updating mechanism and finally obtaining an optimal design scheme; manufacturing a mode machine according to the optimal design scheme, inspecting an actual operation index of a motor, and comparing the actual operation index with an index given by the design scheme; and if the actual operation index exceeds a requirement range of operation indexes, adjusting a performance design scheme. Due to the adoption of the motor optimization design method provided by the invention, overall economic benefit and wind energy utilization rate of a wind power generating system can be improved.

Method for analyzing and designing green building

The invention provides a method for analyzing and designing a green building. In the method, a series of preliminary design conditions are provided for the design of the green building by computer-assisted design and multi-physical model analysis, and the optimal design conditions of the green building are obtained by weight calculation and analysis; based on the exterior environment of the building, weather conditions and various local renewable energy source conditions, the sorts and rules of available renewable resources can be obtained by establishing a sunlight analysis model, a wind field mathematic model, a noise physical model, a thermal conductivity effect analysis model, an interior daylight physical analysis model, a resource analysis model and the like, and inputting the basic data of rainfall, solar radiation intensity, wind speed, wind direction, geological exploration and the like; the feasibility of the utilization of geothermal resources and the renewable resources is obtained according to the calculation results of the resource analysis model; and on the basis of the feasibility, the final design of the shape of the green building is performed so as to provide boundary condition guide for the design of the green building.

Minimum life cycle net cost-based microgrid system optimal design method

ActiveCN102354334AOptimal capacity configurationThe net cost of the whole life cycle is smallSpecial data processing applicationsMicrogridCapacity provisioning
The embodiment of the invention discloses a minimum life cycle net cost-based microgrid system optimal design method, which is used for confirming the optimum capacity configuration of each distributed power source and accumulation energy in the microgrid system in accordance with an operating strategy of a microgrid system and according to the conditions of the renewable energy sources resources, the load demands and the like in the microgrid system to guarantee the net cost to be within the life cycle, i.e. the cost is minimum. The method disclosed by the embodiment of the invention comprises the steps of: building a life cycle net cost-based target function of the microgrid system; confirming the optimal variable quantity of the target function according to the operating strategy of the microgrid system; confirming a constraint condition of the target function according to the operating strategy of the microgrid system; performing the quasi-steady-state emulation on the target function according to the constraint condition, and generating an optimal variable quantity combination to obtain an optimal computation result by means of the intersection and variation operations of a standard genetic algorithm; and confirming system parameters of the microgrid system according to the optimal computation result.

Joint communication and electromagnetic optimization of a multiple-input multiple-output ultra wideband base station antenna

InactiveUS20090186658A1Easy to placeIncrease apparent electromagneticAntenna arraysDiversity/multi-antenna systemsUltra-widebandElectromagnetic optimization
Recent work has shown that in nearly line-of-sight (LOS) Multiple-Input Multi-Output (MIMO) wireless communication systems, spacing antennas according to the symbol wavelength rather than the carrier wavelength improves multiuser performance. MIMO systems have a heavy reliance on a multipath rich environment, which may not always be present in close range ultra wideband conditions. By adding reflector elements to the antenna structure, this multipath rich environment can be induced. The performance of the users with respect to the arrangement of antennas and reflector elements is a non-linear function that a genetic algorithm (GA) seems applicable for exploiting both symbol-wavelength spacing and multipath inducing reflector elements. A GA optimization is used to determine the optimum characteristics for antennas and reflector elements. MIMO system models with four users, and three, four, and five antennas are considered using a two-dimensional LOS channel with additive white noise. Subsequently, a GA optimization design and approach for solving this problem in three-dimensional space is presented. The addition of reflector elements to purposely increase multipath requires additional design considerations incorporating distributed processing, ray-tracing, and the determination of the channel impulse response.

Axial flow pump impeller all-operating-condition design method

An axial flow pump impeller all-operating-condition design method comprises the following steps that 1, parametric modeling of an axial flow pump impeller is performed, namely 2k design parameters including k wing section cascade solidities and wing placement angle values of the axial flow pump impeller are selected; 2, all-operating-condition optimal design is performed: firstly, conventional design parameters of the impeller are dertemined, then numerical calculation is conducted on the design conditions of the axial flow pump impeller and various losses in a pump are comprehensively analyzed to preliminarily design the axial flow pump impeller having better hydraulic performance under the design conditions in a total-loss minimization mode; secondly, guide blades, a water guide cone and water inlet and outlet flowing channels of the impeller are designed; thirdly, the optimal all-operating-condition weighted average effciency of the pump device is regarded as a target, a lift is regarded as a constraint condition, and a seqential quadratic programming method of a gradient optimum algorithm is adopted to constantly change the design parameters of the axial flow pump impeller and perform iterative numerical calculation of the pump device. The axial flow pump impeller all-operating-condition design method adopts CFD numerical calculation, the design accuray is high, and optimization results are reliable.

Vibration modeling and analyzing method of crack impeller structure of centrifugal compressor

The invention discloses a vibration modeling and analyzing method of a crack impeller structure of a centrifugal compressor. The vibration modeling and analyzing method comprises the steps of firstly, providing a modeling method of a centrifugal impeller, obtaining a whole model by rotating and converting a finite element model of a section of the impeller, reducing the DOF (Degree of Freedom) of a system by adopting a hybrid interface modal synthesis method, and simulating a breath effect of a crack by defining a contact mode on a crack interface; secondly, providing a method for solving large-scale symmetrical sparse matrix-inverse matrix, and thus obviously reducing the memory space needed by calculation; finally, providing a method for carrying out statistical analysis on resonant frequency of the crack impeller structure, considering dissonant factors such as manufacturing error and state degradation which exist in an actual impeller, and obtaining statistical regularity of structure resonant frequency under a random dissonant mode. According to the vibration modeling and analyzing method disclosed by the invention, the calculating accuracy is ensured, obvious improvement effect of calculating efficiency is realized at the same time, and a high-efficiency analyzing method is provided for optimal design of the impeller and quantitative diagnosis of the crack.

Automobile energy absorption box based on negative poisson ratio structure filling and multi-object optimization method thereof

The invention discloses an automobile energy absorption box based on negative poisson ratio structure filling and a multi-object optimization method thereof. An energy absorption box body (2) is filled with negative poisson ratio filling inner cores (3) with an inner sunken hexagonal negative poisson ratio structure, wherein deformation induction grooves are designed on the energy absorption box body (2). The energy absorption box body is connected between front protection transverse beams and front longitudinal beams. Through mechanical properties uniquely owned by the negative poisson ratio structure, a stress deformation state during automobile collision is improved, and the energy absorption effect is reinforced, so that safety of passengers is improved, and maintenance cost is reduced. Meanwhile, the invention provides a multi-object optimization scheme aiming at the novel structure; through parametric modeling of the energy absorption inner cores, an energy absorption outer shell and a surrounding structure, on the basis of the Hamersley experimental design, the structure is subjected to crash simulation, a model approximating a response surface is obtained, and finally optimal design parameter combination is obtained on the basis of multi-object optimization of imperial competition algorithm; and the process can be applied to the development process of actual industrial production, reliability is improved, and the development time is reduced.

Asphalt mixture virtual performance test prediction method based on mesoscale simulation

The invention discloses an asphalt mixture virtual performance test prediction method based on mesoscale simulation. The method comprises the steps of designing an initial mix proportion of an asphalt mixture, acquiring basic parameters of a material, carrying out a DSR test of asphalt mortar, carrying out a virtual creep test on the asphalt mortar, converting parameters in a virtual system, choosing multiple indoor tests needing to be predicted, constructing various three-dimension virtual test pieces, choosing a mechanic constitutive model of the material, choosing a loading condition of the virtual test, constructing a real-time monitoring system for test results, outputting final result prediction values of all the tests, comparing all indexes with standards to judge whether requirements are met, outputting suggesting to reselect a mix proportion if the requirements are not met, and outputting an optimal mix proportion if the requirements are met. According to the method, additional curves of the test results are monitored in real time, the obtained output results are compared to judge whether multiple performance indexes of the mixture to be predicted meet the standard requirements, unnecessary relative-property indoor tests are reduced, and test basis is provided for optimal design of the mix proportion of the asphalt mixture.

Method for optimally designing structure of sliding shaft sleeve based on Kriging model

The invention relates to a method for optimally designing the structure of a sliding shaft sleeve based on a Kriging model. By using an unbiased optimal estimation theory of the Kriging model, the optimal design scheme of the sliding shaft sleeve is predicted and solved. The method comprises the following steps of: determining the basic appearance of the sliding shaft sleeve; analyzing and defining a design variable and a definition domain, which influence the shape of the sliding shaft sleeve; sampling a design space by using a Latin hypercube experiment design method; calculating the stress response of the sliding shaft sleeve by using a finite element method; constructing the Kriging model, and performing accuracy estimation; and constructing a mathematical optimization model, solving the optimal design scheme of the sliding shaft sleeve, and validating by using the finite element method. By using the design variable correlation and variability characteristic of the Kriging model, the unbiased optimal estimation is performed, and guidance is provided for optimal design of the structure of the sliding shaft sleeve. Compared with the conventional method, the method provided by the invention has the characteristics of high calculation speed, optimal scheme design and high reliability.
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