Structural Design And Optimization Of Composite Corrugated Sandwich Plate Based On ISIGHT

With the continuous development of modern engineering,lightweight is becoming the mainstream trend of engineering structure design,which makes composite materials shine in the engineering field.In the field of ship,with the continuous progress of ship technology,composite materials are also favored in the light ship design.The composite material has the characteristics of high specific strength,large specific modulus,good fatigue resistance,good damping and vibration damping,as well as the characteristics of flexible design.Marine composite materials are generally in the form of special sandwich structure,the traditional structure is the panel-core-panel.The types of core material are foam core material,honeycomb core material,truss core material and corrugated core material.Among them,the corrugated sandwich plate structure has become the focus of domestic and foreign scholars in recent years due to its strong bearing capacity,good energy absorption effect and obvious thermal protection effect.The sandwich plate structure containing composite corrugated core material has the advantages of thin thickness,large stiffness and light weight,but the mechanics are more complex,the analysis and research on its mechanical properties will be beneficial to the application of the stiffened sandwich plate in the field of ships and the optimization of its design.In this paper,static simulation analysis was carried out on the structure of composite corrugated sandwich plate,and the influence analysis was carried out on the overall height of the structure as well as the parameters of corrugated core material spacing and included Angle.In addition,experimental design and multi-objective optimization design were carried out on the cladding thickness of the structure based on the ISIGHT optimization platform.The specific research contents of this paper are as follows:(1)The static simulation model of composite reinforced sandwich plate structure was established based on ABAQUS finite element software,and the strength and stiffness of the structure were analyzed under a certain static pressure load and boundary conditions.On the basis of the original structure size,the parameter influence analysis was carried out on the overall height of the structure,the spacing of internal bars and the included Angle of internal bars.The influence law of each parameter on the strength and stiffness of the structure was explored,and the optimal structure scheme was found under the combination of each parameter.The optimal parameter model was checked by finite element analysis and used as the initial model for the design and analysis of DOE experiment.(2)The optimization software ISIGHT integrated finite element software ABAQUS was used,and the optimal Latin hypercube design method was adopted to conduct DOE test design and analysis on the above optimal parameter model.Taking the thickness of the panel and the reinforced single layer as the design factor,and the structural strength,stiffness and quality as the design response.The key factors affecting the design response were identified,the sensitivity of the design factors to each response was obtained,and the parameter combination of the optimal layer thickness was determined.The optimal layer thickness parameter model is checked by finite element analysis and used as the initial model of multi-objective optimization design.(3)The optimization software ISIGHT integrated finite element software ABAQUS was used,and NSGA-II was used to carry out multi-objective optimization design for the above optimal layer thickness parameter model.Take the thickness of the panel and the reinforced single layer as the design variable,the structural strength as the constraint condition,and the stiffness and mass as the objective function.Pareto optimal solution set and Pareto front of the optimization problem are sought,and the optimal solution required in this paper is determined from the optimal solution set.The parameter model of the optimal solution is checked by finite element method and compared with the basic parameter model.