Application of Genetic Algorithms in Minimizing Weight and Cost of Pressure Vessels under ASME Constraints
Keywords:
Pressure Vessel Design, Genetic Algorithm (GA), Structural Optimization, ASME Code Compliance, Cost Minimization, Weight Reduction, Evolutionary ComputationAbstract
Pressure vessels are critical components used extensively in industries such as petrochemicals, power generation, aerospace, and pharmaceuticals for storing and handling fluids under pressure. Designing these vessels requires careful consideration of multiple interdependent parameters such as shell thickness, internal radius, material strength, and cost, all while adhering to strict safety and regulatory standards prescribed by the American Society of Mechanical Engineers (ASME) Boiler and Pressure Vessel Code (BPVC).
References
Deb, K. (2001). Multi-Objective Optimization Using Evolutionary Algorithms. Wiley.
Coello, C. A. C., Lamont, G. B., & Van Veldhuizen, D. A. (2007). Evolutionary Algorithms for Solving Multi-Objective Problems (2nd ed.). Springer.
ASME Boiler and Pressure Vessel Code, Section VIII, Division 1. (2019). American Society of Mechanical Engineers.
