A comparative study on the metaheuristic-based optimization of skew composite laminates

Plate structures are the integral parts of any maritime engineering platform. With the recent focus on composite structures, the need for optimizing their design and functionality has now been tremendously realized. In this paper, a comprehensive study is carried out on the effectiveness and optimization performance of three metaheuristic algorithms in designing skew composite laminates under dynamic operational environments. The natural frequencies of the composite panels are measured using a first-order shear deformation theory-based finite element (FE) approach. The stacking sequence of the composite panels is optimized so that the natural frequency separation between the first two modes is maximized. The three metaheuristics considered here are genetic algorithm (GA), repulsive particle swarm optimization with local search and chaotic perturbation (RPSOLC), and co-evolutionary host-parasite (CHP) algorithm. It is observed that in general, the FE-coupled metaheuristic algorithms are quite capable to significantly improve the baseline designs. In particular, FE-CHP algorithm outperforms both the FE-GA and FE-RPSOLC algorithms with respect to accuracy, computational speed and solution reliability.

[1]  Celso Santos,et al.  Application of a particle swarm optimization to a physically-based erosion model , 2010 .

[2]  El-Ghazali Talbi,et al.  Metaheuristics - From Design to Implementation , 2009 .

[3]  Sudhanshu K. Mishra.  Global Optimization of Some Difficult Benchmark Functions by Host-Parasite Coevolutionary Algorithm , 2013 .

[4]  M. Apalak,et al.  Layer optimisation for maximum fundamental frequency of laminated composite plates for different edge conditions , 2008 .

[5]  Marco Antonio Luersen,et al.  An ant colony algorithm applied to lay-up optimization of laminated composite plates , 2013 .

[6]  Partha Dey,et al.  Robust genetically optimized skew laminates , 2019 .

[7]  Dervis Karaboga,et al.  The Artificial Bee Colony algorithm in layer optimization for the maximum fundamental frequency of symmetrical laminated composite plates , 2014 .

[8]  Marco Antonio Luersen,et al.  Maximization of Fundamental Frequency of Laminated Composite Cylindrical Shells by Ant Colony Algorithm , 2013 .

[9]  Ali Rıza Yıldız,et al.  A novel particle swarm optimization approach for product design and manufacturing , 2008 .

[10]  M. H. Sadr,et al.  PSO algorithm for fundamental frequency optimization of fiber metal laminated panels , 2013 .

[11]  E. Kilickap,et al.  Selection of Optimum Drilling Parameters on Burr Height Using Response Surface Methodology and Genetic Algorithm in Drilling of AISI 304 Stainless Steel , 2010 .

[12]  Ali R. Yildiz,et al.  A new hybrid particle swarm optimization approach for structural design optimization in the automotive industry , 2012 .

[13]  Y. Narita.  Layerwise optimization for the maximum fundamental frequency of laminated composite plates , 2003 .

[14]  Ahmet Yardimeden,et al.  Optimization of drilling parameters on surface roughness in drilling of AISI 1045 using response surface methodology and genetic algorithm , 2011 .

[15]  A R Yildiz,et al.  Hybrid enhanced genetic algorithm to select optimal machining parameters in turning operation , 2006 .

[16]  Sarp Adali,et al.  OPTIMAL FIBRE ORIENTATION OF ANTISYMMETRIC HYBRID LAMINATES FOR MAXIMUM FUNDAMENTAL FREQUENCY AND FREQUENCY SEPARATION , 1991 .

[17]  Kalyanmoy Deb,et al.  Optimum design of laminated composite plates with cutouts using a genetic algorithm , 1998 .

[18]  M. H. Sadr,et al.  Stacking sequence optimization of composite plates for maximum fundamental frequency using particle swarm optimization algorithm , 2012 .

[19]  Necmettin Kaya,et al.  Hybrid multi-objective shape design optimization using Taguchi’s method and genetic algorithm , 2007 .

[20]  Fazil O. Sonmez,et al.  Design of composite laminates for optimum frequency response , 2012 .

[21]  Sudhanshu K. Mishra.  The Most Representative Composite Rank Ordering of Multi-Attribute Objects by the Particle Swarm Optimization , 2009 .

[22]  B. Farshi,et al.  Optimum design of composite laminates for frequency constraints , 2007 .

[23]  Xiao-Zhi Gao,et al.  Optimizing frequencies of skew composite laminates with metaheuristic algorithms , 2019, Engineering with Computers.

[24]  S. Haldar,et al.  Free Vibration Analysis of Laminated Composites by a Nine Node Isoparametric Plate Bending Element , 2016 .

[25]  Mahmoud Shakeri,et al.  Global optimization of laminated cylindrical panels based on fundamental natural frequency , 2012 .