scholarly journals Reliability optimization analysis of blades of the mixer based on stress-strength interference model

2021 ◽  
Vol 1043 (2) ◽  
pp. 022063
Author(s):  
Nan-Xi Li ◽  
Hai-Ying Cheng ◽  
Jiang Liu
Keyword(s):  
Interference Model ◽  
Reliability Optimization ◽  
Optimization Analysis

Reliability Optimization Analysis Based on Structure of Probabilistic Model

2014 ◽  
Vol 484-485 ◽  
pp. 457-461
Author(s):  
Xiang Fu Liu
Keyword(s):  
Human Factors ◽  
Probabilistic Model ◽  
Approximate Calculation ◽  
Structural Reliability ◽  
Probability Model ◽  
Design Methods ◽  
Reliability Optimization ◽  
Optimization Analysis ◽  
Random Uncertainty ◽  
Calculation Results

The implementation of a project contains a lot of uncertainty, by their nature, random uncertainty, uncertainty and human factors (such as peoples limitations of understanding things and design methods, the use of analog approximate calculation results) due to the uncertainty of the future to better improve the structural reliability, this paper, the probability model reviewed structural reliability.

MACHINING OPTIMIZATION ANALYSIS FOR THE PRODUCTION OF C110 STEEL SPECIMEN

2017 ◽  
Author(s):  
Hernane do Bom Sucesso Xavier Moreira ◽  
Paulo Sérgio ◽  
Elhadji Cheikh ◽  
Felipe Andrade ◽  
Naiara Costa Andrade ◽  
...  
Keyword(s):  
Steel Specimen ◽  
Optimization Analysis ◽  
Machining Optimization ◽  
C110 Steel

OPTIMAL ANALYSIS OF FARM AGRICULTURAL MACHINERY EQUIPMENT BASED ON MATHEMATICAL MODELLING

2020 ◽  
pp. 333-340
Keyword(s):  
Mathematical Modelling ◽  
Production Efficiency ◽  
Programming Model ◽  
Constraint Equation ◽  
Economic Benefits ◽  
Agricultural Machinery ◽  
Optimization Analysis ◽  
Agricultural Modernization ◽  
Actual Equipment ◽  
Optimal Allocations

With the development of science and technology, the degree of agricultural mechanization is getting higher and higher. Agricultural machinery is an important support for the development of agricultural modernization. Optimizing the allocation of agricultural machinery is conducive to improving agricultural production efficiency and economic benefits. In this paper, mathematical modelling method is mainly used in the analysis and optimization of agricultural machinery configuration. By determining the objective function and constraint equation, combined with the actual situation of Xinjiang Production and Construction Corps, the linear programming model and workload model of agricultural machinery and equipment optimization are established. Finally, the actual number of agricultural machinery and equipment and the number of optimal allocations of Xinjiang Production and Construction Corps farm were compared. The effectiveness of the optimization model is verified by comparing the optimized agricultural machinery equipment with the actual equipment. The results show that the optimized equipment model has good optimization effect. On the basis of reducing the number of agricultural machinery and equipment, the matching rate of agricultural machinery is improved, and the operation cost of agricultural machinery is effectively reduced. It is hoped that this study can provide certain reference and reference for the optimization analysis of agricultural machinery and equipment based on mathematical modelling.

scholarly journals Optimization Analysis of Settlement Parameters for Postgrouting Piles in Loess Area of Shaanxi, China

2019 ◽  
Vol 2019 ◽  
pp. 1-16 ◽  
Author(s):  
Zhijun Zhou ◽  
Shanshan Zhu ◽  
Xiang Kong ◽  
Jiangtao Lei ◽  
Tong Liu
Keyword(s):  
Compression Modulus ◽  
Summation Method ◽  
Cone Penetration ◽  
Optimization Analysis ◽  
Loess Area ◽  
Elastic Compression ◽  
Settlement Calculation ◽  
Side Resistance ◽  
Load Tests ◽  
The Relationship

The settlement calculation of postgrouting piles is complex and depends on the calculation method and parameters. Static load tests were conducted to compare the settlement characteristics of nongrouting and postgrouting piles, and three vital parameters in the layer-wise summation method were revised to predict the settlement of postgrouting piles. The elastic compression coefficient was deduced based on the Mindlin–Geddes method by considering the influence of the change in the pile side resistance distribution and end resistance ratio on the elastic compression after grouting. The relationship between the compression modulus and soil gravity stress and cone penetration resistance were established, respectively, using experimental data. The optimum value of the settlement empirical coefficient was determined using regional data. Finally, we used the postgrouting pile of the Wuqi–Dingbian expressway as a practical example. The results obtained from the layer-wise summation method after parametric optimization were close to the measured values. The results of this study provide reference data and guidance for the settlement calculation of postgrouting piles in this area.

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