optimizing elliptical tank shape based on real-coded genetic algorithm
Authors
abstract
an elliptical tank cross-section is formulated to explore and optimization method, based on a real-coded genetic algorithm to enhance the roll stability limit of a tank vehicle. a shape genetic algorithm optimization problem is applied to minimize the overturning moment imposed on the vehicle due to c.g. height of the liquid load, and lateral acceleration and cargo load shift . the minimization process is performed under some main constraints as cross-sectional area, overall height and width. the magnitudes of lateral and vertical translation of the cargo within the proposed optimal cross section under a constant lateral acceleration field are compared with those obtained with currently used elliptical cross-sections to demonstrate the performance potentials of the optimal shapes. a comparison of the vehicle overturning moment revealed that the proposed optimal tank geometry is approximately 12% higher than the vehicle equipped with currently used elliptical and circular cross section tanks.
similar resources
Enhancing Rollover Threshold of an Elliptical Container Based on Binary-coded Genetic Algorithm
In this paper, a method based on binary-coded genetic algorithm is proposed to explore an optimization method, for obtaining an optimal elliptical tank. This optimization method enhances the rollover threshold of a tank vehicle, especially under partial filling conditions. Minimizing the overturning moment imposed on the vehicle due to c.g. height of the liquid load, lateral acceleration and ca...
full textUsing Fuzzy Cognitive Maps for Prediction of Knowledge Worker Productivity Based on Real Coded Genetic Algorithm
Improving knowledge worker productivity has been one of the most important tasks of the century. However, we have few measures or management interventions to make such improvement possible, and it is difficult to identify patterns that should be followed by knowledge workers because systems and processes in an organization are often regarded as a death blow to creativity. In this paper, we se...
full textenhancing rollover threshold of an elliptical container based on binary-coded genetic algorithm
in this paper, a method based on binary-coded genetic algorithm is proposed to explore an optimization method, for obtaining an optimal elliptical tank. this optimization method enhances the rollover threshold of a tank vehicle, especially under partial filling conditions. minimizing the overturning moment imposed on the vehicle due to c.g. height of the liquid load, lateral acceleration and ca...
full textAn SVD based Real Coded Genetic Algorithm for Graph Clustering
Received Mar 4, 2016 Revised May 8, 2016 Accepted May 25, 2016 This paper proposes a novel graph clustering model based on genetic algorithm using a random point bipartite graph. The model uses random points distributed uniformly in the data space and the measurement of distance from these points to the test points have been considered as proximity. Random points and test points create an adjac...
full textAn Algorithm: Seismic Travel Time Tomographic Inversion using Real Coded and Binary Coded Genetic Algorithm
Seismic imaging, popularly known as tomography, borrowing the term from medical sciences, produces the raster image of the internal structure by combining information from a set of projections obtained at different viewing angles. To engineer high resolution and accurate solutions to mining problems, seismic traveltime tomography can yield a high resolution image of the subsurface to provide in...
full textMy Resources
Save resource for easier access later
Journal title:
international journal of advanced design and manufacturing technologyجلد ۶، شماره ۴، صفحات ۲۳-۲۹
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023