“…Leheta and Mansour [13] developed a reliability-based methodology for structural optimization of stiffened panels which are typical of those found in the deck or bottom of longitudinally stiffened ships. Other optimization strategies such as the genetic algorithm and response surface method were also employed in the optimal design of stiffened plates and composite stiffened panels by Nagendra et al [14], Iuspa and Ruocco [15], Badran et al [16] and Rikardsa et al [17,18]. Many of the previous studies were based on eigenvalue buckling analyses and little research has been concerned with limit-point buckling analyses.…”
Section: Numbers Of X-stiffeners and Y-stiffeners Amentioning
“…Leheta and Mansour [13] developed a reliability-based methodology for structural optimization of stiffened panels which are typical of those found in the deck or bottom of longitudinally stiffened ships. Other optimization strategies such as the genetic algorithm and response surface method were also employed in the optimal design of stiffened plates and composite stiffened panels by Nagendra et al [14], Iuspa and Ruocco [15], Badran et al [16] and Rikardsa et al [17,18]. Many of the previous studies were based on eigenvalue buckling analyses and little research has been concerned with limit-point buckling analyses.…”
Section: Numbers Of X-stiffeners and Y-stiffeners Amentioning
“…A wide range of numerical methods are available, some which will require a smaller number of elements to accurately represent buckling behaviour, i.e. the finite strip method [22][23][24]. As a result, a FE approach is not the most efficient method however the additional computational burden is offset by the absence of any limitations on the geometry and boundary conditions that may be modelled.…”
This paper presents a method to generate design charts and preliminary design rules for the buckling behaviour of stiffened panel plate elements with buckling containment features.Two modelling approaches are used one with an analytical basis using classical plate theory and one with a numerical basis using the FEM to generate the design charts. The individual modelling approaches are used for cross verification. A novel design chart, based on key geometric ratios is introduced and its use demonstrated. Finally design chart data is explored to demonstrate the formulation of simple design rules which are appropriate for preliminary structural design.
“…Recently, Nguyen et al [27] proposed a vibration and lateral buckling GA optimization of thin-walled laminated composite beams with channel sections, by considering flanges width, web height and fibre orientation as the design variables. Iuspa and Ruocco [28] and, more recently, Ehsani and Rezaeepazhand [29] proposed the stacking sequence optimization of laminated plates for maximum buckling load using GA.…”
International audienceProposed herein is a simple but powerful method for optimization of inhomogeneous, elastically restrained columns against buckling when subjected to both compressive concentrated and distributed axial loads that include self-weight. Unlike previously published studies on the subject, we do not have to specify any prescribed geometrical variation and analysis may be readily performed on columns with any complex geometrical shape. In the proposed method, the differential equation governing the buckling of Euler columns is discretized by adopting the Hencky bar-chain model, and critical buckling loads are evaluated by seeking the lowest eigenvalue of the resulting system of algebraic equations. The discrete nature of the formulation, as well as the reduced number of parameters to be optimized, is well suited for the adopted optimization process that is based on evolutionary algorithms. We propose an optimization scheme based on a parallel genetic algorithm. A comparisori study between the obtained optimal column shape and buckling loads on homogeneous and isotropic columns with circular cross section, and the numerical and analytical solutions found in the open literature shows fast convergence, high accuracy and flexibility of the proposed method. (C) 2017 Elsevier Ltd. All rights reserved
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