scholarly journals Study on the Strength Similarity Theory-Based Blasting Compaction Parameters Optimization

2021 ◽  
Vol 283 ◽  
pp. 01003
Author(s):  
Xue-yong Xu ◽  
Yuan-yuan Liu ◽  
Xian-bo Xiao
Keyword(s):  
Similarity Theory ◽  
Parameters Optimization ◽  
Engineering Practice ◽  
Processing Effect ◽  
Parameters Selection ◽  
Soft Foundation ◽  
Bottom Interface ◽  
Design Requirements ◽  
Bearing Layer ◽  
Depth Increment

The current blasting compaction faces technical difficulties brought by mud depth increment. The strength similarity theory provides theoretic support for deep mud blasting compaction, offering a large room for blasting parameters optimization. The author applied the strength similarity theory to engineering practice and introduced the deep mud soft foundation blasting compaction, blasting parameters selection, blasting safety and processing effect. According to detection results, the riprap settlement elevation and width can meet design requirements. The riprap bottom interface and bearing layer are well connected. Obvious mud layer is not found in the embankment core. It shows that the application of strength similarity theory achieves the satisfactory effect in the engineering practice.

Evaluation on Features of Soft Foundation Engineering and Bearing Layer of Pile in Jiaxing City

2011 ◽  
Vol 90-93 ◽  
pp. 217-221
Author(s):  
Jin Long Zhou ◽  
Qiao Li ◽  
Wei Zhong Cai
Keyword(s):  
Soil Mass ◽  
Shallow Foundation ◽  
Silty Clay ◽  
Foundation Engineering ◽  
Foundation Soil ◽  
Cone Tip Resistance ◽  
Soft Foundation ◽  
Tip Resistance ◽  
Bearing Layer

Through the investigation into composition of major shallow foundation soil mass and the correlation of mechanical indicators in this study, the regression equation of mechanical indicators of the features of local foundation soil mass and the data of in situ testing was obtained. Based on massive quantities of exploration materials, this study analyzed engineering features, distribution status, and the feasibility of silty clay to be used as the bearing layer of the pile in Layer ④2 . The analytical results showed that the silty clay with the uniform depth of over 3.5m and the cone tip resistance in static sounding of over 400MPa could be used as bearing layer of the pile. This study could provide the reference for the accurate understanding of the engineering features of soil mass, and the design and evaluation of foundation in Jiaxing City.

Model Experimental Study of SCR Reactor Flow Optimization in 1000MW Coal-Fired Boiler

2014 ◽  
Vol 955-959 ◽  
pp. 2177-2181
Author(s):  
Wen Yan Li ◽  
Shi Yong Wang ◽  
Xiao Ming Wang
Keyword(s):  
Flow Field ◽  
Experimental Model ◽  
Model Test ◽  
Flue Gas ◽  
Gas Flow ◽  
Similarity Theory ◽  
Cold Model ◽  
Power Plant Boiler ◽  
Design Requirements ◽  
Plant Boiler

The structure and arrangement of flue and deflector modules have significant influences on flue gas flow field and distribution of NH3 concentration in a SCR reactor. Numerical calculations about distributions of velocity, NH3 concentration and flow resistance in the deNOx reactor of a 1000MW power plant boiler with CFD have provided the optimal combination of layout scheme of guide plates. A1:15 experimental model of the reactor was constructed based on the principles of similarity theory, and cold model test was carried out with air substituting for flue gas, and CO for NH3.The consequences of model test and numerical modeling were basically similar and met the design requirements. Moreover, deposition characteristics of the experimental model was studied with fly ash from coal-fired boiler, which demonstrated that deposition was not severe under both 50% and 100% boiler full load. The model experiments indicated that the optimum program could achieve purpose of the flow field optimization.

scholarly journals Analytical and Experimental Investigation of the Solar Chimney System

Energies ◽  
2019 ◽  
Vol 12 (11) ◽  
pp. 2060 ◽  
Author(s):  
Zygmunt Lipnicki ◽  
Marta Gortych ◽  
Anna Staszczuk ◽  
Tadeusz Kuczyński ◽  
Piotr Grabas
Keyword(s):  
Similarity Theory ◽  
Experimental Studies ◽  
Classical System ◽  
Simple Calculation ◽  
Engineering Practice ◽  
System Of Equations ◽  
Solar Chimney ◽  
Dimensionless Numbers ◽  
Prandtl Numbers ◽  
Gap Height

In this, paper the authors propose a new simplified method of solving the problem of air flow through a solar chimney system using a classical system of equations for the principles of conservation (momentum, mass, and energy), as well as a general solution to research the problem using similarity theory. The method presented in this paper allows one to design a solar chimney. The theoretical analysis was compared with experimental studies on existing solar towers. The experimental and theoretical studies were satisfactorily consistent. For clarity, the phenomenon of heat flow in the solar chimney was described using dimensionless numbers, such as the Reynolds, Grashof, Galileo, Biot, and Prandtl numbers. In the equations for the dimensionless geometric parameters, the ratios of the collector radius to the thickness gap, height, and chimney radius were used. The method used to test the system of equations allows us to analyse various solar collectors easily. In the scientific literature, there is a lack of a simple calculation method to use in engineering practice, suitable for each type of solar chimney independent of dimensions and construction parameters.

SVM Parameter Optimization based on Immune Memory Clone Strategy and Application in Bus Passenger Flow Counting

2012 ◽  
Vol 4 (4) ◽  
pp. 74-80
Author(s):  
Zhu Fang ◽  
Wei Junfang
Keyword(s):  
Optimization Method ◽  
Parameters Optimization ◽  
Immune Memory ◽  
Support Vector ◽  
Model Parameters ◽  
Passenger Flow ◽  
Parameters Selection ◽  
Svm Model ◽  
Peak Model ◽  
Selection Of

The performance of support vector mchine (SVM) depends on the selection of model parameters, however, the selection of SVM model parameters more depends on the empirical value. According to the above deficiency, this paper proposed a parameters optimization method of support vector machine based on immune memory clone strategy (IMC). This method can solve the multi-peak model parameters selection problem better which is introduced by n-folded cross-verification. Tests on standard datasets show that this method has higher precision and faster optimization speed compared with other four methods. Then the proposed method was applied to bus passenger flow counting. The experimental results show that the method reposed in this paper obtains higher classification accuracy.

Thin Film SnO2 and In2O3 Ozone Sensor Design: The Film Parameters Selection

2015 ◽  
Vol 799-800 ◽  
pp. 910-914 ◽  
Author(s):  
G. Korotcenkov ◽  
V. Brinzari ◽  
B.K. Cho
Keyword(s):  
Thin Film ◽  
Gas Sensing ◽  
Parameters Optimization ◽  
Spray Pyrolysis Method ◽  
Operating Characteristics ◽  
Optimal Operating ◽  
Pyrolysis Method ◽  
Parameters Selection ◽  
Gas Sensing Properties ◽  
Main Factors

In this report it is being discussed approaches for designing the SnO2 and In2O3 ozone sensors based on the film parameters optimization. It was considered the influence of the conditions of the SnO2 and In2O3 films deposition by spray pyrolysis method and the parameters of those films on operating characteristics of ozone sensors. Main factors, controlling operating characteristics of thin film ozone sensors were determined. Recommendations to process of the SnO2 and In2O3 films deposition, promoting an attainment of optimal operating gas sensing properties, were formulated.

Research on Parameters Optimization Algorithm in Support Vector Machine Based on Immune Memory Clone Strategy

2012 ◽  
Vol 241-244 ◽  
pp. 1618-1621
Author(s):  
Fang Zhu ◽  
Jun Fang Wei
Keyword(s):  
Support Vector Machine ◽  
Optimization Method ◽  
Parameters Optimization ◽  
Immune Memory ◽  
Support Vector ◽  
Model Parameters ◽  
Standard Data ◽  
Parameters Selection ◽  
Optimum Model ◽  
Selection Of

The performance of support vector machine (SVM) depends on the selection of model parameters, however, the selection of SVM model parameters more depends on the empirical value. According to the above deficiency, this paper proposed a parameters optimization method of support vector machine based on immune memory clone strategy (IMC). This method can solve the multi-peak model parameters selection problem better which is introduced by n-folded cross-verification and automatic acquire the optimum model parameters. Proved by the simulation results on standard data, this method has higher precision and faster optimization speed. In a word, it can be used as an effective and feasible SVM parameters optimization method.

Influence of Widened Embankment on the Slope of Existing Pavement on Soft Soils

2012 ◽  
Vol 256-259 ◽  
pp. 1889-1892
Author(s):  
Wei Ping Cao ◽  
Qi Chao Shi ◽  
Wei Wei Hu
Keyword(s):  
Heavy Traffic ◽  
Early Period ◽  
Cost Effective ◽  
Engineering Practice ◽  
Global Instability ◽  
Soft Soils ◽  
Soft Foundation ◽  
Engineering Problems ◽  
Effective Choice ◽  
Embankment Height

Adding a new embankment adjacent to the existing highway embankment is a cost effective choice compared with building another new one and can mitigate the heavy traffic pressure. However, it may also cause some engineering problems including the change of slope of existing pavement or even local or global instability of embankments especially those on soft soils. How to prevent excessive change of the slope of the existing pavement induced by widening the existing embankments is of great importance in engineering practice. A numerical analysis by using a commercial FEM program was performed to explore the influence of the thickness of soft foundation soils, the widening width and the embankment height as well as the starting time of widening construction on the slope of the existing pavement. The results indicate that the bigger the thickness of the foundation soils as well as the bigger the widening width will result in bigger values of the slope of the existing pavement, especially at the early period of reconsolidation. Adverse slope will be induced by widening of the existing embankment.

Numerical Simulation and Design Optimization of the Composite Roof Roadway Support for Large Section

2012 ◽  
Vol 170-173 ◽  
pp. 3500-3506
Author(s):  
Ren Shu Yang ◽  
Zhen Fang Li ◽  
Dong Ming Guo ◽  
Peng Xu ◽  
Zong Ming Gao
Keyword(s):  
Numerical Simulation ◽  
Optimization Design ◽  
Three Dimensional ◽  
Parameters Optimization ◽  
Simulation Program ◽  
Engineering Practice ◽  
Large Section ◽  
Group Test ◽  
Anchor Cable ◽  
Bolt Spacing

Based on the engineering practice of the large section roadway in Zhaozhuang Mine, which has composite roof of mudstone and sandy mudstone, and the shale floor, and did the support optimization design of large section roadway through three-dimensional numerical simulation by using the FLAC3D. To optimize the row spacing between the bolt, it carried out nine group test of numerical simulation program to analyze, six group test of numerical simulation program to analyze the length of the anchor cable, and five group test to analyze the distance of the anchor cable. Through these, the effect of the bolt spacing, the length of the top anchor cable, the anchor cable spacing and other support parameters to the supporting are got, and putting forward an anchor - anchor cable integrated supporting parameters optimization program to match the large section of the composite roof. Results show that it is reasonable to use 950mm x 900mm of the bolt spacing in design, and 7.5 meters length in design the top anchor cable.

Ant Routing Algorithm Parameters Optimization Based on Velocity over Mobile P2P Networks

2011 ◽  
Vol 403-408 ◽  
pp. 1750-1754
Author(s):  
Da Peng Qu ◽  
Xing Wei Wang ◽  
Mi Huang
Keyword(s):  
Routing Algorithm ◽  
Parameters Optimization ◽  
Time Interval ◽  
P2p Networks ◽  
Evaporation Time ◽  
Parameters Selection ◽  
Mobile P2p ◽  
Independent Variable ◽  
Mobile P2p Networks ◽  
Simulation Results

Regarding ant routing algorithm parameters selection over mobile p2p networks, a basic ant routing algorithm is proposed and related parameters are analyzed. They are the power function of pheromone and evaporation time interval. They obey some parabolic functions of the velocity of nodes. A new method of ant routing parameters optimization based on an independent variable is proposed. Simulation results show that this algorithm selects the parameters effectively.

Slope Stability Forecast of LS-SVM Based on Chaos Genetic Algorithm Optimization

2013 ◽  
Vol 405-408 ◽  
pp. 2384-2390 ◽  
Author(s):  
Zheng Long Cai ◽  
Yong Dong Meng ◽  
Rui Yao Wang ◽  
Wei Ping Lu
Keyword(s):  
Genetic Algorithm ◽  
Slope Stability ◽  
Influencing Factors ◽  
Parameters Optimization ◽  
Major Influence ◽  
Support Vector ◽  
Algorithm Optimization ◽  
Parameters Selection ◽  
Nonlinear Relation ◽  
Chaos Genetic Algorithm

As the relationship between geotechnical slope stability and influencing factors is complex and nonlinear, the least squares support vector machines (LS-SVM) is used to establish the nonlinear relation between slope stability and influencing factors. And in consideration of that parameters selection of LS-SVM exerts a major influence on modeling results, the parameters of LS-SVM are optimized by chaos genetic algorithm (CGA). Thus the CGA LSSVM is proposed for forecasting slope stability. Through the comparison between the method and the simple genetic algorithm (SGA) parameters optimization. The result shows that parameters optimization of the CGA has better faster convergence speed, higher prediction precision. And the model is applied to predict the safety factor of the actual slope engineering and the results are well consistent with the actual situation. It is shown that the model is reasonable and feasible.

Sign in / Sign up

Export Citation Format

Share Document