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

Yingjun WANG , Zhenbiao GUO , Jianghong YANG , Xinqing LI

Front. Mech. Eng. ›› 2023, Vol. 18 ›› Issue (4) : 52

PDF (5381KB)
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

Author information +
History +
PDF (5381KB)

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.

Graphical abstract

Keywords

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

Cite this article

Download citation ▾
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 DOI:10.1007/s11465-023-0768-9

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Bendsøe M P , Kikuchi N . Generating optimal topologies in structural design using a homogenization method. Computer Methods in Applied Mechanics and Engineering, 1988, 71(2): 197–224

[2]

Mlejnek H P , Schirrmacher R . An engineer’s approach to optimal material distribution and shape finding. Computer Methods in Applied Mechanics and Engineering, 1993, 106(1−2): 1–26

[3]

Xie Y M , Steven G P . A simple evolutionary procedure for structural optimization. Computers & Structures, 1993, 49(5): 885–896

[4]

Sethian J A , Wiegmann A . Structural boundary design via level set and immersed interface methods. Journal of Computational Physics, 2000, 163(2): 489–528

[5]

Guo X , Zhang W S , Zhong W L . Doing topology optimization explicitly and geometrically—a new moving morphable components based framework. Journal of Applied Mechanics, 2014, 81(8): 081009

[6]

Sato Y , Kobayashi H , Yuhn C , Kawamoto A , Nomura T , Kikuchi N . Topology optimization of locomoting soft bodies using material point method. Structural and Multidisciplinary Optimization, 2023, 66(3): 50

[7]

Kim H G , Kim S H , Wang S , Lee J H . A framework for eigenvalue-based topology optimization of torsional resonant microscanner to improve dynamic stability. Journal of Mechanical Science and Technology, 2023, 37(1): 25–30

[8]

Ozguc S , Teague T F G , Pan L , Weibel J A . Experimental study of topology optimized, additively manufactured microchannel heat sinks designed using a homogenization approach. International Journal of Heat and Mass Transfer, 2023, 209(1): 124108

[9]

Rogié B , Andreasen C S . Design complexity tradeoffs in topology optimization of forced convection laminar flow heat sinks. Structural and Multidisciplinary Optimization, 2023, 66(1): 6

[10]

Ooms T , Vantyghem G , Thienpont T , Van Coile R , De Corte W . Compliance-based topology optimization of structural components subjected to thermos-mechanical loading. Structural and Multidisciplinary Optimization, 2023, 66(6): 126

[11]

Habashneh M , Rad M M . Reliability based topology optimization of thermoelastic structures using bi-directional evolutionary structural optimization method. International Journal of Mechanics and Materials in Design, 2023, 19(3): 605–620

[12]

Chan Y C , Shintani K , Chen W . Robust topology optimization of multi-material lattice structures under material and load uncertainties. Frontiers of Mechanical Engineering, 2019, 14(2): 141–152

[13]

Li X Q , Zhao Q H , Long K , Zhang H X . Multi-material topology optimization of transient heat conduction structure with functional gradient constraint. International Communications in Heat and Mass Transfer, 2022, 131: 105845

[14]

Wang Y J , Li X Q , Long K , Wei P . Open-source codes of topology optimization: a summary for beginners to start their research. Computer Modeling in Engineering & Sciences, 2023, 137(1): 1–34

[15]

Wang X , Shi Y K , Hoang V N , Meng Z , Long K , Wang Y S . Reliability-based topology optimization of fail-safe structures using moving morphable bars. Computer Modeling in Engineering & Sciences, 2023, 136(3): 3173–3195

[16]

Sun P F , Arora J S , Haug E J . Fail-safe optimal design of structures. Engineering Optimization, 1976, 2(1): 43–53

[17]

Jansen M , Lombaert G , Schevenels M , Sigmund O . Topology optimization of fail-safe structures using a simplified local damage model. Structural and Multidisciplinary Optimization, 2014, 49(4): 657–666

[18]

Zhou M , Fleury R . Fail-safe topology optimization. Structural and Multidisciplinary Optimization, 2016, 54(5): 1225–1243

[19]

Wang H X , Liu J , Wen G L , Xie Y M . The robust fail-safe topological designs based on the von Mises stress. Finite Elements in Analysis and Design, 2020, 171: 103376

[20]

Hederberg H , Thore C J . Topology optimization for fail-safe designs using moving morphable components as a representation of damage. Structural and Multidisciplinary Optimization, 2021, 64(4): 2307–2321

[21]

Long K , Wang X , Du Y X . Robust topology optimization formulation including local failure and load uncertainty using sequential quadratic programming. International Journal of Mechanics and Materials in Design, 2019, 15(2): 317–332

[22]

Cui Y P , Yu Y , Huang S L , Cheng S Y , Wei M X , Li Z M , Yu J X . Novel methodology of fail-safe reliability-based topology optimization for large-scale marine structures. Structural and Multidisciplinary Optimization, 2023, 66(7): 168

[23]

Yang J H , Su H L , Li X Q , Wang Y J . Fail-safe topology optimization for multiscale structures. Computers & Structures, 2023, 284: 107069

[24]

Kim T S , Kim J E , Kim Y Y . Parallelized structural topology optimization for eigenvalue problems. International Journal of Solids and Structures, 2004, 41(9−10): 2623–2641

[25]

Aage N , Poulsen T H , Gersborg-Hansen A , Sigmund O . Topology optimization of large scale stokes flow problems. Structural and Multidisciplinary Optimization, 2008, 35(2): 175–180

[26]

Träff E A , Rydahl A , Karlsson S , Sigmund O , Aage N . Simple and efficient GPU accelerated topology optimization: codes and applications. Computer Methods in Applied Mechanics and Engineering, 2023, 410: 116043

[27]

Stainko R . An adaptive multilevel approach to the minimal compliance problem in topology optimization. Communications in Numerical Methods in Engineering, 2006, 22(2): 109–118

[28]

Karuthedath P L , Gupta A , Mamindlapelly B , Chowdhury R . A continuous field adaptive mesh refinement algorithm for isogeometric topology optimization using PHT-splines. Computer Methods in Applied Mechanics and Engineering, 2023, 412: 116075

[29]

Wang Y J , Zheng W , Zheng Y F , Da D C . A new three-level mesh method to accelerate the structural topology optimization. Applied Mathematical Modelling, 2022, 109: 374–400

[30]

Nguyen T H , Paulino G H , Song J H , Le C H . A computational paradigm for multiresolution topology optimization (MTOP). Structural and Multidisciplinary Optimization, 2010, 41(4): 525–539

[31]

Nguyen T H , Paulino G H , Song J H , Le C H . Improving multiresolution topology optimization via multiple discretizations. International Journal for Numerical Methods in Engineering, 2012, 92(6): 507–530

[32]

Keshavarzzadeh V , Alirezaei M , Tasdizen T , Kirby R M . Image-based multiresolution topology optimization using deep disjunctive normal shape model. Computer-Aided Design, 2021, 130: 102947

[33]

Mezzadri F , Qian X P . Density gradient-based adaptive refinement of analysis mesh for efficient multiresolution topology optimization. International Journal for Numerical Methods in Engineering, 2022, 123(2): 465–504

[34]

Chen Z J , Wen G L , Wang H X , Xue L , Liu J . Multi-resolution nonlinear topology optimization with enhanced computational efficiency and convergence. Acta Mechanica Sinica, 2022, 38(2): 421299

[35]

Bender D , Barari A . Using 3D density-gradient vectors in evolutionary topology optimization to find the build direction for additive manufacturing. Journal Of Manufacturing and Materials Processing, 2023, 7(1): 46

[36]

Long K , Wang X , Gu X G . Local optimum in multi-material topology optimization and solution by reciprocal variables. Structural and Multidisciplinary Optimization, 2018, 57(3): 1283–1295

[37]

Banh T T , Lieu Q X , Lee J , Kang J , Lee D . A robust dynamic unified multi-material topology optimization method for functionally graded structures. Structural and Multidisciplinary Optimization, 2023, 66(4): 75

[38]

Zhang K Q , Cheng G D . Three-dimensional high resolution topology optimization considering additive manufacturing constraints. Additive Manufacturing, 2020, 35: 101224

[39]

Park J , Sutradhar A . A multi-resolution method for 3D multi-material topology optimization. Computer Methods in Applied Mechanics and Engineering, 2015, 285: 571–586

[40]

Tavakoli R , Mohseni S M . Alternating active-phase algorithm for multimaterial topology optimization problems: a 115-line MATLAB implementation. Structural and Multidisciplinary Optimization, 2014, 49(4): 621–642

[41]

Park J , Zobaer T , Sutradhar A . A two-scale multi-resolution topologically optimized multi-material design of 3D printed craniofacial bone implants. Micromachines, 2021, 12(2): 101

[42]

Lieu Q X , Lee J . A multi-resolution approach for multi-material topology optimization based on isogeometric analysis. Computer Methods in Applied Mechanics and Engineering, 2017, 323: 272–302

[43]

Lieu Q X , Lee J . Multiresolution topology optimization using isogeometric analysis. International Journal for Numerical Methods in Engineering, 2017, 112(13): 2025–2047

[44]

Du B X , Zhao Y , Yao W , Wang X , Huo S L . Multiresolution isogeometric topology optimisation using moving morphable voids. Computer Modeling in Engineering & Sciences, 2020, 122(3): 1119–1140

[45]

Guo Z B , Su H L , Li X Q , Wang Y J . Multi-resolution topology optimization using B-spline to represent the density field. Advances in Engineering Software, 2023, 182: 103478

[46]

Zuo W J , Saitou K . Multi-material topology optimization using ordered SIMP interpolation. Structural and Multidisciplinary Optimization, 2017, 55(2): 477–491

[47]

Qian X P . Topology optimization in B-spline space. Computer Methods in Applied Mechanics and Engineering, 2013, 265: 15–35

[48]

Wang Y J , Xiao M , Xia Z H , Li P G , Gao L . From computer-aided design (CAD) toward human-aided design (HAD): an isogeometric topology optimization approach. Engineering, 2023, 22: 94–105

[49]

SigmundO. Morphology-based black and white filters for topology optimization. Structural and Multidisciplinary Optimization, 2007, 33(4‒5): 401–424

RIGHTS & PERMISSIONS

Higher Education Press

AI Summary AI Mindmap
PDF (5381KB)

2231

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/