Smoothed finite element and genetic algorithm based optimization for shape adaptive composite marine propellers

Abstract

An optimization scheme using the Cell-based Smoothed Finite Element Method (CS-FEM) combined with a Genetic Algorithm (GA) framework is proposed in this paper to design shape adaptive laminated composite marine propellers. The proposed scheme utilise the bend-twist coupling characteristics of the composites to achieve the required performance. An iterative procedure to evaluate the unloaded shape of the propeller blade is proposed, confirming the manufacturing requirements at the initial stage. The optimization algorithm and codes developed in this work were implemented under a variety of parameter settings and compared against the requirement to achieve an ideally passive pitch varying propeller. Recommendations for the required thickness of the propeller blade to achieve optimum bend-twist coupling performance without resulting large rake deformations are also presented.

Mass and buckling criterion optimization of stiffened carbon/epoxy composite cylinder under external hydrostatic pressure

“…The GA as an evolutionary approach is a suitable method for discrete optimization problems. Many researchers reported that GA has a good performance in discrete optimization problems such as composite structures Kim and Kang, 2005;Kim et al, 2014;Herath et al, 2014;Sekulski, 2010;Ghasemi and Hajmohammad, 2015 . As mentioned before, there is no research focused on mass minimization and buckling maximization with failure criteria of stiffened composite laminated shells, simultaneously. In this paper, stiffened carbon/epoxy composite cylinders under external hydrostatic pressure will be examined to minimize mass and maximize buckling pressure.…”

<b>Application of particle swarm optimization in inverse finite element modeling to determine the cornea´s mechanical behavior

“…Other optimization methods such as Genetic Algorithms (GA) (Shabani & Mazahery, 2013) have been employed with FE (Song , Yang, Yu, & Kang, 2013) or with both (Herath, Natarajan, Prusty, & John, 2014) in optimization problems. PSO has also been compared with the Artificial Bee Colony (ABC) algorithm, demonstrating higher accuracy and better reliability in inverse modeling applications involving FE analysis (Bardsiri, Jawawi, Hashim, & Khatibi, 2013).…”

Design optimization of composite cylinders for submersible pressure hulls

“…As for the optimization of composites structures, a number of papers are available [7][8][9]. Topal et al [7] optimized the fiber orientation of symmetrically angle-ply square laminated plates under uniform thermal loads and biaxial compressive.…”

“…Topal et al [7] optimized the fiber orientation of symmetrically angle-ply square laminated plates under uniform thermal loads and biaxial compressive. Herath et al [8] proposed an optimization scheme to design shape adaptive laminated composite marine propellers. Fathallah et al [9] performed the optimization of lay-up sequence using three composite materials by minimizing the buoyancy factor of submersible pressure hull.…”