Buckling feature-driven optimization method for conformally modelled implicit curved stiffened structures

TY - JOUR

T1 - Buckling feature-driven optimization method for conformally modelled implicit curved stiffened structures

AU - Dong, Xuge

AU - Duan, Shengyu

AU - Liu, Changmeng

AU - Lei, Hongshuai

AU - Fang, Daining

N1 - Publisher Copyright: © 2025 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

PY - 2026/1/1

Y1 - 2026/1/1

N2 - The growing need for robust, yet lightweight structures in aerospace and deep-sea exploration has emphasized the design of curved stiffened structures. This article introduces a method focused on maximizing the buckling loads of curved stiffened plates and shells, employing a buckling feature-driven optimization approach tailored for curved stiffened structures modeled conformally. The method proposes the ϵ-net enhanced adaptive marching squares (E-AMS) for the conformal modeling of these structures. A newly devised buckling characteristic function assesses the buckling behavior across different section parameters of curved stiffened layouts. This function systematically quantifies the local and global buckling characteristics in a dimensionless format, allowing for the separation of section parameters from layout parameters. A novel two-step optimization method is proposed to streamline the optimization process. This method broadens the design space to include configurations ranging from sparse to dense, enhancing the buckling load capacity by 5–20 % over traditional orthogonal configurations.

AB - The growing need for robust, yet lightweight structures in aerospace and deep-sea exploration has emphasized the design of curved stiffened structures. This article introduces a method focused on maximizing the buckling loads of curved stiffened plates and shells, employing a buckling feature-driven optimization approach tailored for curved stiffened structures modeled conformally. The method proposes the ϵ-net enhanced adaptive marching squares (E-AMS) for the conformal modeling of these structures. A newly devised buckling characteristic function assesses the buckling behavior across different section parameters of curved stiffened layouts. This function systematically quantifies the local and global buckling characteristics in a dimensionless format, allowing for the separation of section parameters from layout parameters. A novel two-step optimization method is proposed to streamline the optimization process. This method broadens the design space to include configurations ranging from sparse to dense, enhancing the buckling load capacity by 5–20 % over traditional orthogonal configurations.

KW - Buckling

KW - Curved grid-stiffened structures

KW - Implicit modeling

KW - Layout optimization

UR - https://www.scopus.com/pages/publications/105030213708

U2 - 10.1016/j.engstruct.2025.121586

DO - 10.1016/j.engstruct.2025.121586

M3 - Article

AN - SCOPUS:105030213708

SN - 0141-0296

VL - 346

JO - Engineering Structures

JF - Engineering Structures

M1 - 121586

ER -