A novel optimization method based on interlayer equilibrium displacement for heterogeneous reservoir with high efficiency

AbstractA 16-degree-of-freedom dynamic model for the load contact analysis of a double helical gear considering sliding friction is established. The dynamic equation is solved by the Runge–Kutta method to obtain the vibration displacement. The method combines the friction coefficient model based on the elastohydrodynamic lubrication theory with the dynamic model, which provides a theoretical basis for the calculation of the power loss of the transmission system. Moreover, the sensitivity analysis of the parameters that affect the transmission efficiency is carried out, and an optimization method of meshing efficiency is proposed without reducing the bending strength of the gears. This method can directly guide the design of the double helical gear transmission system.

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Substructure-Based Topology Optimization for Symmetric Hierarchical Lattice Structures

Symmetry ◽

10.3390/sym12040678 ◽

2020 ◽

Vol 12 (4) ◽

pp. 678

Author(s):

Zijun Wu ◽

Renbin Xiao

Keyword(s):

Topology Optimization ◽

High Efficiency ◽

Spline Interpolation ◽

Optimization Method ◽

Optimality Criteria ◽

Lattice Structures ◽

Hierarchical Lattice ◽

B Spline ◽

Design Variables ◽

Optimality Criteria Method

This work presents a topology optimization method for symmetric hierarchical lattice structures with substructuring. In this method, we define two types of symmetric lattice substructures, each of which contains many finite elements. By controlling the materials distribution of these elements, the configuration of substructure can be changed. And then each substructure is condensed into a super-element. A surrogate model based on a series of super-elements can be built using the cubic B-spline interpolation. Here, the relative density of substructure is set as the design variable. The optimality criteria method is used for the updating of design variables on two scales. In the process of topology optimization, the symmetry of microstructure is determined by self-defined microstructure configuration, while the symmetry of macro structure is determined by boundary conditions. In this proposed method, because of the educing number of degree of freedoms on macrostructure, the proposed method has high efficiency in optimization. Numerical examples show that both the size and the number of substructures have essential influences on macro structure, indicating the effectiveness of the presented method.

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Improved Land Evapotranspiration Simulation of the Community Land Model Using a Surrogate-Based Automatic Parameter Optimization Method

Water ◽

10.3390/w12040943 ◽

2020 ◽

Vol 12 (4) ◽

pp. 943

Author(s):

Chong Zhang ◽

Zhenhua Di ◽

Qingyun Duan ◽

Zhenghui Xie ◽

Wei Gong

Keyword(s):

Sensitivity Analysis ◽

Parameter Optimization ◽

Land Surface ◽

High Efficiency ◽

Optimization Method ◽

The Tibetan Plateau ◽

Optimal Parameters ◽

Community Land Model ◽

Optimization Framework ◽

Sensitivity Analysis Method

Land surface evapotranspiration (ET) is important in land-atmosphere interactions of water and energy cycles. However, regional ET simulation has a great uncertainty. In this study, a highly-efficient parameter optimization framework was applied to improve ET simulations of the Community Land Model version 4.0 (CLM4) in China. The CLM4 is a model at land scale, and therefore, the monthly ET observation was used to evaluate the simulation results. The optimization framework consisted of a parameter sensitivity analysis (also called parameter screening) by the multivariate adaptive regression spline (MARS) method and sensitivity parameter optimization by the adaptive surrogate modeling-based optimization (ASMO) method. The results show that seven sensitive parameters were screened from 38 adjustable parameters in CLM4 using the MARS sensitivity analysis method. Then, using only 133 model runs, the optimal values of the seven parameters were found by the ASMO method, demonstrating the high efficiency of the method. For the optimal parameters, the ET simulations of CLM4 were improved by 7.27%. The most significant improvement occurred in the Tibetan Plateau region. Additional ET simulations from the validation years were also improved by 5.34%, demonstrating the robustness of the optimal parameters. Overall, the ASMO method was found to be efficient for conducting parameter optimization for CLM4, and the optimal parameters effectively improved ET simulation of CLM4 in China.

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Multi-Objective Optimization of Aircraft Taxiing on the Airport Surface with Consideration to Taxiing Conflicts and the Airport Environment

Sustainability ◽

10.3390/su11236728 ◽

2019 ◽

Vol 11 (23) ◽

pp. 6728 ◽

Cited By ~ 1

Author(s):

Zhang ◽

Huang ◽

Liu ◽

Li

Keyword(s):

Fuel Consumption ◽

High Efficiency ◽

Optimization Method ◽

Pollutant Emissions ◽

Multi Objective Optimization ◽

Optimization Scheme ◽

Nsga Ii ◽

Multi Objective ◽

International Airport ◽

And Control

High-efficiency taxiing for safe operations is needed by all types of aircraft in busy airports to reduce congestion and lessen fuel consumption and carbon emissions. This task is a challenge in the operation and control of the airport’s surface. Previous studies on the optimization of aircraft taxiing on airport surfaces have rarely integrated waiting constraints on the taxiway into the multi-objective optimization of taxiing time and fuel emissions. Such studies also rarely combine changes to the airport’s environment (such as airport elevation, field pressure, temperature, etc.) with the multi-objective optimization of aircraft surface taxiing. In this study, a multi-objective optimization method for aircraft taxiing on an airport surface based on the airport’s environment and traffic conflicts is proposed. This study aims to achieve a Pareto optimized taxiing scheme in terms of taxiing time, fuel consumption, and pollutant emissions. This research has the following contents: (1) Previous calculations of aircraft taxiing pathways on the airport’s surface have been based on unimpeded aircraft taxiing. Waiting on the taxiway is excluded from the multi-objective optimization of taxiing time and fuel emissions. In this study, the waiting points were selected, and the speed curve was optimized. A multi-objective optimization scheme under aircraft taxiing obstacles was thus established. (2) On this basis, the fuel flow of different aircraft engines was modified with consideration to the aforementioned environmental airport differences, and a multi-objective optimization scheme for aircraft taxiing under different operating environments was also established. (3) A multi-objective optimization of the taxiing time and fuel consumption of different aircraft types was realized by acquiring their parameters and fuel consumption indexes. A case study based on the Shanghai Pudong International Airport was also performed in the present study. The taxiway from the 35R runway to the 551# stand in the Shanghai Pudong International Airport was optimized by the non-dominant sorting genetic algorithm II (NSGA-II). The taxiing time, fuel consumption, and pollutant emissions at this airport were compared with those of the Kunming Changshui International Airport and Lhasa Gonggar International Airport, which have different airport environments. Our research conclusions will provide the operations and control departments of airports a reference to determine optimal taxiing schemes.

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Multiobjective optimization of a tubular pump to improve the applicable operating head and hydraulic performance

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science ◽

10.1177/0954406220947116 ◽

2020 ◽

pp. 095440622094711

Author(s):

Wenlong Zhao ◽

Jian Zhang ◽

Xiaodong Yu ◽

Daqing Zhou ◽

Melih Calamak

Keyword(s):

High Efficiency ◽

Guide Vane ◽

Optimization Method ◽

Critical Parameters ◽

Long Distance ◽

Blade Thickness ◽

Weighted Matrix ◽

Wide Range ◽

Shaft Power ◽

Water Conveyance

Tubular pumps are widely used in irrigation and water conveyance projects. However, the operating head of most of these pumps is low, and only a few studies have focused on the design of an efficient tubular pump with a head more than 5 m, which is common in long-distance water supply projects. This work aims to improve the operating head and efficiency of tubular pumps while maintaining a low shaft power. The multi-objective orthogonal optimization method was used to determine the critical parameters of the tubular pump, i.e., blade number, airfoil, blade thickness and guide vane distance, and nine design schemes were selected. Next, by using computational fluid dynamics (CFD), a 3D model of the tubular pumps under different schemes was established, and the results were compared. Subsequently, the range method and weighted matrix method were utilized to find the optimized scheme. In addition, an experimental investigation was performed to verify the simulation and the performance of the designed tubular pump. The results indicated that the optimized scheme improved the operating head to 6.9 m with higher efficiency of 84.2% and a lower shaft power of 27.7 kW. The modeling results were in agreement with the experimental measurements, and the designed tubular pump had a wide range of high-efficiency zones.

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Scheduling Optimization for Parking and Taking Car about the Vertical Circulation Type Stereo Garage

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.214.52 ◽

2012 ◽

Vol 214 ◽

pp. 52-57 ◽

Cited By ~ 2

Author(s):

Shu Li ◽

Hong Ru Li ◽

Xiao Bo Zhang ◽

Meng Fan Ji

Keyword(s):

Management Strategy ◽

High Efficiency ◽

Low Cost ◽

Optimization Method ◽

Circulation Type ◽

Service Rate ◽

Vertical Circulation ◽

Scheduling Optimization ◽

Queue Theory ◽

Short Time

The vertical circulation type stereo garage has some advantages such as its simple construction, low cost, easy combination and less ground occupation. Regarding the problem of parking and taking car in the vertical circulation type stereo garage, the paper studies the queue system in the garage through a queue theory, the management strategy of scheduling optimization for parking and driving is obtained. The simulation experiment proved that, the whole vertical circulation garage by the optimization method stated in this paper has some advantages such as average short time for parking and taking car one time, high efficiency for average service rate.

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High-efficiency motor control with optimization method

Journal of the Japan Institute of Power Electronics ◽

10.5416/jipe.45.216 ◽

2019 ◽

Vol 45 (0) ◽

pp. 216-216

Author(s):

Yuuta Wakasa ◽

Yuu Miino ◽

Shigeyuki Takagi

Keyword(s):

Motor Control ◽

High Efficiency ◽

Optimization Method

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An Introduction of Aerodynamic Shape Optimization Platform for Compressor Blade

Volume 2C: Turbomachinery ◽

10.1115/gt2016-56861 ◽

2016 ◽

Author(s):

Duan Yanhui ◽

Wu Wenhua ◽

Fan Zhaolin ◽

Chen Ti

Keyword(s):

Flow Field ◽

Shape Optimization ◽

High Efficiency ◽

Optimization Method ◽

Compressor Blade ◽

Field Calculation ◽

Aerodynamic Shape Optimization ◽

Aerodynamic Shape ◽

Grid Deformation ◽

First Case

In this paper, an aerodynamic shape optimization platform for compressor blade is introduced. The platform divided into modules on flow field calculation, optimization method, parameterization and grid deformation. Flow field calculation of compressor blade is based on computational fluid dynamics (CFD), which is used for multi-block structure grid. Particle swarm optimization (PSO) is built as optimization method module, in which cost functions are calculated parallel. In parametric module, 3D blade is decomposed in a series of characteristic sections and the section is parameterized by Hicks-Henne function. Algebraic interpolation method is used for grid deformation, which is a high efficiency and robust method. Two cases of rotor 37 are presented. The result of the first case shows that, the CFD code of the optimal platform is reliable and robust. For the second case, the optimal platform is verified by designing rotor 37. The result shows that, the optimal platform is effective for design of compressor blade.

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Image retrieval based on swarm intelligence

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v11i6.pp5390-5401 ◽

2021 ◽

Vol 11 (6) ◽

pp. 5390

Author(s):

Shahbaa I. Khaleel ◽

Ragad W. Khaled

Keyword(s):

Ant Colony Optimization ◽

Swarm Intelligence ◽

Clustering Algorithm ◽

High Efficiency ◽

Water Drop ◽

Optimization Method ◽

Modern Technology ◽

Ant Colony ◽

Query Image ◽

Fuzzy Method

To keep pace with the development of modern technology in this information technology era, and the immense image databases, whether personal or commercial, are increasing, is requiring the management of these databases to strong and accurate systems to retrieve images with high efficiency. Because of the swarm intelligence algorithms are great importance in solving difficult problems and obtaining the best solutions. Here in this research, a proposed system is designed to retrieve color images based on swarm intelligence algorithms. Where the algorithm of the ant colony optimization (ACOM) and the intelligent water drop (IWDM) was used to improve the system's work by conducting the clustering process in these two methods on the features extracted by annular color moment method (ACM) to obtain clustered data, the amount of similarity between them and the query image, is calculated to retrieve images from the database, efficiently and in a short time. In addition, improving the work of these two methods by hybridizing them with fuzzy method, fuzzy gath geva clustering algorithm (FGCA) and obtaining two new high efficiency hybrid algorithms fuzzy ant colony optimization method (FACOM) and fuzzy intelligent water drop method (FIWDM) by retrieving images whose performance values are calculated by calculating the values of precision, recall and the f-measure. It proved its efficiency by comparing it with fuzzy method, FGCA and by methods of swarm intelligence without hybridization, and its work was excellent.

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Optimization of berth length of LNG terminal

E3S Web of Conferences ◽

10.1051/e3sconf/202124803009 ◽

2021 ◽

Vol 248 ◽

pp. 03009

Author(s):

Yuchen Wang

Keyword(s):

Oil And Gas ◽

High Efficiency ◽

Optimization Method ◽

Research Progress ◽

Comparison Analysis ◽

Transport Mode ◽

Multimodal Transport ◽

Change Trend ◽

Length Optimization

Based on the multimodal transport mode of LNG container, it is suitable for transportation, storage and land, and it can realize safe, high efficiency and convenient transportation, and meet the needs of modern LNG transportation. This paper discusses the change trend of LNG terminal berth length which has been built in recent years. The research progress of berth length optimization method of LNG terminal in China is described. The comparison analysis is made with the berth length optimization method of open oil and gas terminal, and some suggestions are put forward.

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