Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Optimization of Pressure Vessel Under Thermo-Elastic Condition
Abstract In this work, a pressure vessel under thermo-elastic condition is modeled which is useful for industries like refineries, power plant etc. The combined effect of internal pressure and steady-state temperature gradient is considered. A pressure vessel problem is formulated to minimize its total cost subjected to the constraints that can ensure safe design. The problem is solved using elitist Genetic Algorithm (GA). Further, simulations on stress against thickness are carried out, which reveal that the maximum shear stress gets reduced up to a certain thickness. After that, it starts increasing due to an increase in the compressive hoop/circumferential stress under thermo-elastic condition. The bi-objective optimization problem is then formulated by minimizing the total cost and the maximum shear stress simultaneously. The bi-objective problem is solved using elitist non-dominated sorting genetic algorithm. The cost effective to the safe trade-off solutions are generated. These approximate Pareto-optimal solutions are evolved in two clusters in which the solution from one of the clusters is more preferable for practical and feasible pressure vessel design. The post-optimization analysis of results suggests that the bi-objective optimization study offers more valuable insight of the problem than the single-objective optimization.
Optimization of Pressure Vessel Under Thermo-Elastic Condition
Abstract In this work, a pressure vessel under thermo-elastic condition is modeled which is useful for industries like refineries, power plant etc. The combined effect of internal pressure and steady-state temperature gradient is considered. A pressure vessel problem is formulated to minimize its total cost subjected to the constraints that can ensure safe design. The problem is solved using elitist Genetic Algorithm (GA). Further, simulations on stress against thickness are carried out, which reveal that the maximum shear stress gets reduced up to a certain thickness. After that, it starts increasing due to an increase in the compressive hoop/circumferential stress under thermo-elastic condition. The bi-objective optimization problem is then formulated by minimizing the total cost and the maximum shear stress simultaneously. The bi-objective problem is solved using elitist non-dominated sorting genetic algorithm. The cost effective to the safe trade-off solutions are generated. These approximate Pareto-optimal solutions are evolved in two clusters in which the solution from one of the clusters is more preferable for practical and feasible pressure vessel design. The post-optimization analysis of results suggests that the bi-objective optimization study offers more valuable insight of the problem than the single-objective optimization.
Optimization of Pressure Vessel Under Thermo-Elastic Condition
Baishya, N. J. (Autor:in) / Sharma, D. (Autor:in) / Dixit, U. S. (Autor:in)
Journal of The Institution of Engineers (India): Series C ; 95 ; 389-400
14.09.2014
12 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Optimization of Pressure Vessel Under Thermo-Elastic Condition
| Online Contents | 2014
Topology optimization under thermo-elastic buckling
| British Library Online Contents | 2017
Topology optimization involving thermo-elastic stress loads
| British Library Online Contents | 2010
Imperfection Sensitivity of Elastic and Elastic-Plastic Torispherical Pressure Vessel Heads
| Online Contents | 1995
Axisymmetric yielding of functionally graded spherical vessel under thermo-mechanical loading
| British Library Online Contents | 2011