Multiresolution and multimaterial topology optimization of fail-safe structures under B-spline spaces

Yingjun WANG, Zhenbiao GUO, Jianghong YANG, Xinqing LI

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PDF(5381 KB)
Front. Mech. Eng. ›› 2023, Vol. 18 ›› Issue (4) : 52. DOI: 10.1007/s11465-023-0768-9
RESEARCH ARTICLE
RESEARCH ARTICLE

Multiresolution and multimaterial topology optimization of fail-safe structures under B-spline spaces

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Abstract

This study proposes a B-spline-based multiresolution and multimaterial topology optimization (TO) design method for fail-safe structures (FSSs), aiming to achieve efficient and lightweight structural design while ensuring safety and facilitating the postprocessing of topological structures. The approach involves constructing a multimaterial interpolation model based on an ordered solid isotropic material with penalization (ordered-SIMP) that incorporates fail-safe considerations. To reduce the computational burden of finite element analysis, we adopt a much coarser analysis mesh and finer density mesh to discretize the design domain, in which the density field is described by the B-spline function. The B-spline can efficiently and accurately convert optimized FSSs into computer-aided design models. The 2D and 3D numerical examples demonstrate the significantly enhanced computational efficiency of the proposed method compared with the traditional SIMP approach, and the multimaterial TO provides a superior structural design scheme for FSSs. Furthermore, the postprocessing procedures are significantly streamlined.

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Keywords

multiresolution / multimaterial / topology optimization / fail-safe structure / B-spline

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Yingjun WANG, Zhenbiao GUO, Jianghong YANG, Xinqing LI. Multiresolution and multimaterial topology optimization of fail-safe structures under B-spline spaces. Front. Mech. Eng., 2023, 18(4): 52 https://doi.org/10.1007/s11465-023-0768-9

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Nomenclature

Abbreviations
CADComputer-aided design
FSSFail-safe structure
GPUGraphics processing unit
MMTOBSMultiresolution and multimaterial topology optimization method using B-spline
Ordered-SIMPOrdered solid isotropic material with penalization
SIMPSolid isotropic material with penalization
STLSTereoLithography
TOTopology optimization
Variables
AeArea of the analysis element
Bk,p (ξ), Bl,q (η)Univariate B-spline basis functions in directions of ξ and η, respectively
BStrain‒displacement matrix
c(s)Structural compliance under the sth damage case
CaveAverage compliance
CmaxMaximum compliance
DConstitutive matrix
D0Constitutive matrix with the elastic modulus of solid material
EElastic modulus of interpolated material
E0Elastic modulus of solid material
EjSolid elastic modulus of material j
EjNeNormalized elastic modulus of material j
EmaxMaximum elastic modulus of all materials
HWeight factor in sensitivity filter
JMaximum structural compliance under all damage cases
JJacobi matrix
keStiffness matrix of analysis elements
KGlobal stiffness matrix
mNumber of B-spline control points in directions of η
MMass of the structure
M0Mass when all materials within the design domain possess a density of 1
nNumber of B-spline control points in direction of ξ
ndNumber of density elements
neNumber of elements used in finite element analysis
niNumber of Gauss integration points in a density element
NNumber of control points
NdTotal number of damage cases
NeNumber of elements
Nr (ξ, η)Bivariable B-spline basis function for the represented as a tensor product
p, qDegrees of the B-spline in directions of ξ and η, respectively
SEScale coefficient
TETranslation coefficient
ueNode displacement vector of analysis elements
UGlobal node displacement vector
xControl points’ coefficient vector of B-spline
β Penalty factor
ρe Relative density of the element e
ρj Solid density of material j
ρjNeNormalized density of material j
ρmax Maximum density of all materials
εMSpecified mass fraction
ξiCenter point coordinate of density element i in direction of ξ
ξigCoordinate of the Gauss integration point in direction of ξ
ηiCenter point coordinate of density element i in direction of η
ηigCoordinate of the Gauss integration point in direction of η
γ Parameter in KS equation
θigWeight of the Gauss integration point
ΩrSet of control points ωδ whose distance Δrδ from control point ωr is less than the filtering radius rmin

Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant No. 52075184) and the Open-funding Project of State Key Laboratory of Digital Manufacturing Equipment and Technology (Huazhong University of Science and Technology), China (Grant No. DMETKF2021020).

CRediT Authorship Contribution Statement

Yingjun WANG: conceptualization, methodology, software, validation, and writing of original draft; Zhenbiao GUO: methodology, software, validation, and writing; Jianghong YANG: methodology and software; Xinqing LI: conceptualization, methodology, supervision, and writing to review and editing.

Conflict of Interest

The authors declare that they have no conflict of interest.

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2023 Higher Education Press
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