6 results about "Scale effect" patented technology

The invention provides a physical-numerical hybrid scale model test method for a floating fan, and belongs to the technical field of offshore wind power generation. The test method comprises the steps that the floating fan is modeled into a physical model and a numerical model, and besides the physical model and the numerical model, a test platform further comprises a measuring system and a loading system; real-time interaction is carried out on actual measurement signals of the measurement system and calculation results of the numerical model through the computer, loading of the signals is achieved through the loading system, and building and closed-loop control of the hybrid test platform are achieved. And finally, required information is extracted through visual interface monitoring. According to the method, the dynamic response performance of the key structure can be accurately captured, and a series of problems of scale effect, scale criterion incompatibility caused by the scale effect, difficulty in indoor test simulation of the offshore floating fan and the like can be solved.

The invention provides a method for constructing a bearing test distortion model of an ice-resistant structure under the action of a dynamic ice load, and belongs to the field of test similar reduced scale model design under an ice breaking load of the ice-resistant structure. The problem that in the prior art, the strain rate of a fully-similar model is dissimilar due to the scale effect is solved; a traditional distortion model design method has the problem of dissimilar energy distribution. The method comprises the following steps: establishing a fully similar model from an ice-resistant structure prototype to a geometric and plate thickness equal ratio reduced scale; establishing a plate thickness distortion reduced scale model by using the same material on the basis of the geometric similar reduced scale model; preliminarily determining a collision contact position of the thickness distortion reduced scale model; a dynamic ice load similarity criterion is applied, correction factors are deduced through dimensional analysis, and ice body parameters and collision speed of a distortion model system are adjusted, so that the ice breaking capacity and dynamic structure response are similar to those of a prototype system. The device is mainly used in the field of polar region icebreaking.

The application provides a kind of floating wind turbine physical-numerical mixed scale model test method, belongs to offshore wind power generation technical field, the test method will floating wind turbine modeling into two parts of physical model and numerical model, in addition to physical model and numerical model, test platform also includes measurement system and loading system;Real-time interaction is carried out between the measured signal of measurement system and the calculation result of numerical model by computer, signal loading is realized by loading system, and the construction and closed-loop control of hybrid test platform are realized.Finally, the required information is monitored and extracted through the visual interface.The application can not only accurately capture the performance of the dynamic response of the key structure, but also solve a series of problems such as scale effect, incompatibility of scale rule caused by scale effect and difficulty in simulating indoor test of offshore floating wind turbine.

The embodiment of the invention discloses an equivalent construction method and system for a reduced scale model of an automobile crane boom, and the method comprises the steps: obtaining a prototype parameter group and a set geometric reduced scale proportion, obtaining a fully similar scale factor group and a fully similar parameter group through a non-dimensionalized pi theorem and a differential equation dimension analysis method, and carrying out the equivalent construction of the reduced scale model of the automobile crane boom. And on the basis of the fully similar parameter group, under response error constraints aiming at the structure response parameters and geometric manufacturing constraints aiming at the structure geometric parameters, adjusting the structure geometric parameters corresponding to the fully similar parameter group to obtain a non-fully similar scale factor group and a non-fully similar parameter group so as to construct a reduced scale model. The problems that in a traditional reduced scale test, complete similarity is difficult to achieve, and mechanical response mismatch is caused by the scale effect and the nonlinear influence are solved, and the cross-scale transmission precision of the reduced scale model to prototype mechanical behaviors is remarkably improved.

The invention relates to a strain rate sensitive hull structure collision reduced scale model construction method considering a scale effect, and the method comprises the steps: constructing a reduced scale model of a ship based on a preset geometric reduced scale ratio; acquiring a collision load parameter and a collision speed of the reduced scale model; and carrying out a collision test based on the collision load parameter and the collision speed by using the reduced scale model. According to the method, complex iteration and prior information are not needed, a reduced scale model meeting laboratory conditions can be designed through a known prototype structure, and the collision impact resistance of a real ship can be accurately evaluated and assessed through a model test.

The invention relates to the technical field of landscape pattern analysis, and discloses a simulation and prediction method for space-time evolution of an island ecosystem landscape pattern based on a scale effect, which is used for improving the accuracy of a simulation result. The simulation and prediction method for the space-time evolution of the island ecosystem landscape pattern based on the scale effect comprises the following steps: acquiring and preprocessing a multi-temporal remote sensing image; extracting landscape type data of each time phase through object-oriented classification; performing scale effect analysis to determine the most suitable spatial granularity; calculating landscape pattern indexes of the whole island group and each single island based on the granularity to obtain space-time evolution characteristics; identifying a driving factor of pattern change by using a grey correlation analysis method; and finally, in combination with landscape type data and a driving force analysis result, a future landscape pattern is obtained through simulation prediction.