An empirical formulation for predicting the ultimate strength of stiffened panels subjected to longitudinal compression

Kim, D.K. and Lim, H.L. and Kim, M.S. and Hwang, O.J. and Park, K.S. (2017) An empirical formulation for predicting the ultimate strength of stiffened panels subjected to longitudinal compression. Ocean Engineering, 140. pp. 270-280. ISSN 00298018

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Abstract

There are several methods such as experimental, numerical, and analytical methods which are the mostly adopted in the verification of proposed design code or guidelines to calculate the ultimate strength performance of stiffened panel structures. This study proposes an advanced empirical formula shape, which is a function of plate slenderness ratio and column slenderness ratio with two (2) correction coefficients (C1 and C2), used to predict the ultimate strength performance of stiffened panel structures in ships. In addition, the two aforementioned correction coefficients were decided and verified by obtaining the result of an ANSYS nonlinear finite element analysis. An average level of initial imperfection and 2 bay � 2 span (1/2 � 1 � 1/2) model were adopted in the proposed empirical formula. The effects of residual strength were not considered in this study. A total of 124 stiffened panels with four different plate slenderness ratios (β) and changing column slenderness ratio (λ) were selected for the simulation scenarios. To confirm the accuracy of the obtained formula, a statistical analysis was also conducted on the ANSYS results and other existing formulas. The proposed method and its details were documented. © 2017

Item Type: Article
Additional Information: cited By 70
Uncontrolled Keywords: Compressive strength; Numerical methods; Plates (structural components); Structural panels, Correction coefficients; Empirical formulation; Initial imperfection; Longitudinal compression; Non-linear finite-element analysis; Stiffened panel; Stiffened panel structures; Ultimate strength, Finite element method, compression; empirical analysis; finite element method; prediction
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 16:21
Last Modified: 09 Nov 2023 16:21
URI: https://khub.utp.edu.my/scholars/id/eprint/9287

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