74 results about "Structural factor" patented technology

The invention discloses a method for predicting influence of vibration deformation on electric performance of an array antenna. The method comprises the following steps of: 1) determining a geometric model file of the array antenna; 2) establishing a finite element model of the array antenna in ANSYS; 3) presetting an acceleration power spectrum, calculating random vibration deformation, and extracting position offset of each radiation unit; 4) calculating a pattern function of the array antenna; and 5) judging whether the pattern function satisfies design requirements. According to the conventional method, whether the structure strength of the antenna satisfies the requirement is analyzed according to the acceleration power spectrum, and the electrical performance cannot be determined according to array plane deformation errors. The method provided by the invention can realize the prediction on the electrical performance of the antenna according to the offset caused by random vibration; the method provided by the invention is more succinct, can introduce the offset into an electromechanical coupling model to calculate the electrical performance, and does not need to repeat electromagnetic modeling according to the change of the offset; and the method provided by the invention is used for analyzing the influence of vibration on the antenna and finding main structural factors, thereby ensuring that the antenna is protected from being damaged, and the electrical performance of the antenna in a working state is improved.

The invention discloses a high-voltage switch cabinet insulator electric field optimization method based on a quantum genetic algorithm. The method comprises the following steps that 1) a high-voltage switch cabinet insulator geometric model is built; 2) the high-voltage switch cabinet insulator model is subjected to electrostatic field simulation to obtain the maximum electric field intensity value, and structural factors for influencing the electric field distribution and the maximum field intensity are determined through changing variable structural parameters; 3) a population is initialized; 4) an objective function is determined, and a fitness degree function is calculated, wherein the objective function of an individual is the electric field intensity corresponding to the parameters; 5) for the individual population consisting of binary gene codes, the variation is carried out after the selection and the full-interference crossing; and 6) whether the quantum genetic operation stop condition is met or not is judged, if the stop condition is not met, the operation returns to the first step, and if the stop condition is met, the corresponding response value is calculated according to the optimized structure parameters obtained in the fifth step, and the maximum electric field intensity value is obtained. The method can realize the optimization on the high-voltage switch cabinet insulator electric field.

The invention provides anti-cracking concrete, which comprises water, cement, sand, crushed stones, fly ash, expanding agent, admixture and polypropylene fiber in a weight ratio of 200-220:275-300:870-920:1,190-1,280:75-85:38-42:2.5-2.8:1 and is prepared by stirring and mixing the water, the moderate-heat portland cement, the sand, the crushed stones, the fly ash, the admixture and the special concrete polypropylene fiber, pouring the mixture and allowing the mixture to cur, wherein the water to cement ratio of the anti-cracking concrete is 0.49 to 0.52. Tests prove that the anti-cracking concrete with a unique mixing ratio and unique components including the polypropylene fiber can effectively prevent cracks caused by non-structural factors such as the temperature of the concrete and air shrinkage to the surfaces and interiors of rock-anchored beams in large key water-control projects.

Disclosed are an embedded rapid quantitative evaluation method for traffic environment vibration and an embedded rapid quantitative evaluation method. A group of intelligent sensor nodes are arranged at test sites to acquire traffic environment vibration data, and each node is used for internally evaluating traffic environment vibration and displaying results in real time. The test sites form a sensor network, each node achieves time synchronization by means of internal clock calibration, and the influence of different distances, different soil layers and different structural factors on vibration propagation is obtained by means of summing up evaluation results of all the test sites. The test sites are positioned at vibration sources and vibration-sensitive places caused by the vibration sources as required or positioned on running public transport vehicles, each node is provided with a vertical analog acceleration sensor and a horizontal analog acceleration sensor, and the data are outputted after passing through a signal conditioner, an analog-to-digital converter and a programmable anti-aliasing filter. The system is convenient in installation and the method is accurate in test.

An ink jet head is fed in a main-scan direction to record one line on a recording paper. Thereafter, the recording paper is fed in a sub-scan direction for one line. A corrected feeding amount A is calculated by adding a correction value C1 to a basic feeding amount B. The correction value C1 is determined by a formula, C1=2.D.(R-½), wherein p represents an interval between dots recorded on recording paper in the sub-scan direction, and k represents a range of unevenness in the feeding amount caused by structural factors of sub-scan feeding means. For example, D=(p-k)/2. R is a random number in a range between 0 and 1. Gradation unevenness and/or black and white streaks caused by periodical feeding unevenness become inconspicuous since the correction value C1 is changed on a random basis.

The invention discloses an affinity prediction and analysis method for a human amphiphysin-1 Src homology-3 domain binding peptide. The method comprises the following steps of: selecting an electrical property parameter, a three-dimensional property parameter, a hydrophobicity parameter and hydrogen bond property parameter of an amino acid, establishing physicochemical property classification scores of the amino acid by adopting a principal component analysis method, representing each amino acid residue in a peptide sequence by using the scores to realize the parameter-based description of a peptide sequence structure, selecting characteristic parameters closely related to affinity from parameters of the peptide sequence structure by using a genetic algorithm, establishing a relational model, namely an affinity prediction and analysis model between the characteristic parameters and the affinity by using a Gaussian process, obtaining structural factors influencing the affinity of the peptide by analyzing hyper-parameters of the model, and performing prediction by using the model to obtain an affinity value of the peptide. By the method, a powerful tool can be provided for the high-throughput screening of high-affinity human amphiphysin-1 Src homology-3 domain binding peptides, and development and researches on human amphiphysin-1 Src homology-3 domain binding peptide inhibitors are further prompted.

The invention relates to a combustor structure optimization method based on a response surface method. The combustor structure optimization method comprises the following specific steps: (1) determining structural factors, required to be considered, of a combustor, and performing coding conversion on the structural factors; (2) determining a test scheme by adopting CCD (Central Composite Design) method; (3) completing a test according to the CCD-based test scheme; (4) establishing a response surface model, and analyzing a test result; (5) performing ridge analysis, and determining an optimized structure parameter combination. According to the combustor structure optimization method, the test scheme is determined by using the CCD method, and the test result is analyzed by virtue of response surface software, so that the linear term influence and the quadratic term influence on the combustion performance of the combustor caused by all the factors can be determined, the cross term influence of all the factors can also be determined, the optimized structure parameter combination is further determined by the ridge analysis, and a low-nitrogen combustion effect is achieved.

The invention discloses a carbon footmark rapid assessment method supporting a low-carbon product structure design. The method comprises the following steps: structures which are connected in a physical connection mode, a chemical connection mode, etc. are defined as connection structure units with connection characteristics among product components as links; the connection characteristics of products are analyzed, and connection structure unit division is performed on the products according to levels so that a product connection structure unit model is established; structural factors affecting carbon footmarks of the products are acquired via analysis of a life cycle; the effect degree of the carbon footmarks of connection types is assessed, and carbon footmark allocation factors are calculated with the connection types as assessment objects and the structural factors affecting the carbon footmarks of the products as assessment criteria; and a carbon footmark recursive allocation method is put forward, the relative carbon footmarks of all connection structure units constructing the products are rapidly assessed, and the maximum structural unit of the carbon footmarks is identified so that the low-carbon design is supported. The invention brings forward the carbon footmark rapid assessment method with respect to the product low-carbon structure design so that a defect of being low in maneuverability in the prior art is overcome.

The invention discloses a graphene oxygen fluoride and polyimide composite powder coating which is prepared from the following raw materials in parts by weight: 100 to 110 parts of polyimide, 10 to 14 parts of carbon monofluoride, 0.1 to 0.3 part of potassium peroxodisulfate, 1 to 2 parts of sodium nitrate, 0.1 to 0.4 part of potassium hypermanganate, 4 to 6 parts of sebacic acid, 0.5 to 1 part of phosphorus pentoxide, 0.1 to 0.2 part of dicyclohexylcarbodiimide, 0.1 to 0.2 part of 4-dimethylamiopryidine and 6 to 10 parts of tributyl citrate. According to the graphene oxygen fluoride and polyimide composite powder coating, firstly, sebacic acid is grafted into graphene oxygen fluoride with relatively high dispersivity, and a carboxyl with chemical reaction activity is retained at the tail end of each sebacic acid aliphatic chain of a composite material, so that the structural factors promote a polyimide molecular chain to be plugged between graphene oxygen fluoride slices more easily, and the interface action between the graphene oxygen fluoride and the polyimide can be enhanced; therefore, the dispersivity of grafted inorganic particles among polymers can be effectively improved.