Abstract
Presence of cut-outs of different shapes is inevitable and is many times considered to be a desirable feature for the design of light-weight components. However, the presence of such cut-outs induces highly localized stresses in their vicinity which cannot be resolved using analytical relations and elementary equations of the strength of materials. In the recent years, FEM has evolved as a crucial tool for handling such problems with reduced degree of complexity. The present investigation is aimed at studying the effect of various geometrical parameters and loading scenarios on the SCF induced in an infinite plate in presence of rectangular cut-out with filleted corners. In the first step, the model was subjected to uniaxial load and the obtained values of SCF exhibited good agreement with analytical values. The model was further subjected to systematically varied stress states and geometrical parameters in order to study their effect on the SCF.
Highlights
The values were compared with analytical equations for stress concentration factor (SCF) provided in the literature
The present paper aims at investigating the SCF induced in infinite plates containing rectangular cut-out with filleted corners
The plate was subjected to uniaxial loading and values of SCF were obtained
Summary
The design of high-performance engineering components poses many challenges in front of designer such as the inclusion of holes for fastening and making the component lightweight. In order to study the mechanisms of fracture in isotropic plates, it becomes important to determine the stress concentration factor (SCF) in the case of stress-raisers of different shape. The present investigation is concerned with studying the effect of various factors on SCF in case of a thin flat plate weakened by a central rectangular hole with filleted corners under uniaxial as well as biaxial loading. Such problems can be considered a simplified representation of rectangular windows in the fuselage of airplanes. In order to make the procedure computationally efficient, the analytical relations were coded in SCILAB 6.0
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