2014
DOI: 10.1007/s00158-014-1047-5
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DMTO – a method for Discrete Material and Thickness Optimization of laminated composite structures

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Cited by 80 publications
(54 citation statements)
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“…Application of sandwich composite material introduces many design variables, since properties like material properties, orientation, and thickness for each individual layer must be specified throughout the structure. Furthermore, the analysis models are often large and many design criteria are present-such as mass, stiffness, and buckling [63][64][65][66][67]. The multi-objective optimization problem of sandwich composite hull under hydrostatic pressure was investigated to maximize the deck area, buckling strength factor and minimize buoyancy factor under constraints on failure strength, deflection of the sandwich composite shell.…”
Section: Optimization Statementmentioning
confidence: 99%
“…Application of sandwich composite material introduces many design variables, since properties like material properties, orientation, and thickness for each individual layer must be specified throughout the structure. Furthermore, the analysis models are often large and many design criteria are present-such as mass, stiffness, and buckling [63][64][65][66][67]. The multi-objective optimization problem of sandwich composite hull under hydrostatic pressure was investigated to maximize the deck area, buckling strength factor and minimize buoyancy factor under constraints on failure strength, deflection of the sandwich composite shell.…”
Section: Optimization Statementmentioning
confidence: 99%
“…In order to ensure that the linearized problem is feasible, the original mass objective function is reformulated by use of so-called merit functions or elastic programming approach. In accordance with the previous work in Sørensen et al (2014), the merit constraint function is defined as…”
Section: Optimization Problemmentioning
confidence: 99%
“…Another continuous method is the discrete material and thickness optimization method, where the fiber angles belong to a discrete set and fictitious density variables are used to select the ply angles at any given location. This has been done for compliance and buckling optimization [49,50]. For this method, also a thickness filter has been implemented to get to physically feasible designs [51].…”
Section: Introductionmentioning
confidence: 99%