Articles

A non-probabilistic reliability topology optimization method based on aggregation function and matrix multiplication considering buckling response constraints

Expand
  • 1 Institute of Solid Mechanics, School of Aeronautic Science and Engineering, Beihang University, Beijing 100191, China
    2 Aircraft and Propulsion Laboratory, Ningbo Institute of Technology, Beihang University, Ningbo 315100, Zhejiang Province, China
    3 State Key Laboratory of Navigation and Safety Technology, Shanghai Ship and Shipping Research Institute, Shanghai 200135, China
    4 National Engineering Research Center of Ship & Shipping Control System, Shanghai Ship and Shipping Research Institute, Shanghai 200135, China
Lei WANG, E-mail: ntucee.wanglei@gmail.com

Received date: 2023-09-14

  Online published: 2024-01-27

Supported by

the National Natural Science Foundation of China(12072007);the National Natural Science Foundation of China(12072006);the National Natural Science Foundation of China(12132001);the National Natural Science Foundation of China(52192632);the Ningbo Natural Science Foundation of Zhejiang Province of China(202003N4018);the Defense Industrial Technology Development Program of China(JCKY2019205A006);the Defense Industrial Technology Development Program of China(JCKY2019203A003);the Defense Industrial Technology Development Program of China(JCKY2021204A002);Project supported by the National Natural Science Foundation of China (Nos. 12072007, 12072006, 12132001, and 52192632), the Ningbo Natural Science Foundation of Zhejiang Province of China (No. 202003N4018), and the Defense Industrial Technology Development Program of China (Nos. JCKY2019205A006, JCKY2019203A003, and JCKY2021204A002)

Copyright

Editorial Department of Applied Mathematics and Mechanics (English Edition), 2024,

Abstract

A non-probabilistic reliability topology optimization method is proposed based on the aggregation function and matrix multiplication. The expression of the geometric stiffness matrix is derived, the finite element linear buckling analysis is conducted, and the sensitivity solution of the linear buckling factor is achieved. For a specific problem in linear buckling topology optimization, a Heaviside projection function based on the exponential smooth growth is developed to eliminate the gray cells. The aggregation function method is used to consider the high-order eigenvalues, so as to obtain continuous sensitivity information and refined structural design. With cyclic matrix programming, a fast topology optimization method that can be used to efficiently obtain the unit assembly and sensitivity solution is conducted. To maximize the buckling load, under the constraint of the given buckling load, two types of topological optimization columns are constructed. The variable density method is used to achieve the topology optimization solution along with the moving asymptote optimization algorithm. The vertex method and the matching point method are used to carry out an uncertainty propagation analysis, and the non-probability reliability topology optimization method considering buckling responses is developed based on the transformation of non-probability reliability indices based on the characteristic distance. Finally, the differences in the structural topology optimization under different reliability degrees are illustrated by examples.

Cite this article

Lei WANG, Yingge LIU, Juxi HU, Weimin CHEN, Bing HAN . A non-probabilistic reliability topology optimization method based on aggregation function and matrix multiplication considering buckling response constraints[J]. Applied Mathematics and Mechanics, 2024 , 45(2) : 321 -336 . DOI: 10.1007/s10483-024-3078-6

References

1 BENDSØE, M. P., and KIKUCHI, N. Generating optimal topologies in structural design using a homogenization method. Computer Methods in Applied Mechanics and Engineering, 71 (2), 197- 224 (1988)
2 BENDSØE, M. P. Optimal shape design as a material distribution problem. Structural Optimization, 1, 193- 202 (1989)
3 ROZVANY, G. I. N. Aims, scope, methods, history and unified terminology of computeraided topology optimization in structural mechanics. Structural & Multidisciplinary Optimization, 21 (2), 90- 108 (2001)
4 BENDSØE, M. P., and SIGMUND, O. Material interpolation schemes in topology optimization. Archive of Applied Mechanics, 69, 635- 654 (1999)
5 GAO, X., and MA, H. Topology optimization of continuum structures under buckling constraints. Computers & Structures, 157, 142- 152 (2015)
6 FERRARI, F. S. O., and GUEST, J. K. Topology optimization with linearized buckling criteria in 250 lines of Matlab. Structural and Multidisciplinary Optimization, 63 (2), 3045- 3066 (2021)
7 FERRARI, F., and SIGMUND, O. Towards solving large-scale topology optimization problems with buckling constraints at the cost of linear analyses. Computer Methods in Applied Mechanics and Engineering, 363, 112911 (2020)
8 RUSS, J. B., and WAISMAN, H. A novel elastoplastic topology optimization formulation for enhanced failure resistance via local ductile failure constraints and linear buckling analysis. Computer Methods in Applied Mechanics and Engineering, 373, 113478 (2021)
9 WANG, L., ZHAO, X., WU, Z., and CHEN, W. Evidence theory-based reliability optimization for cross-scale topological structures with global stress, local displacement, and micro-manufacturing constraints. Structural and Multidisciplinary Optimization, 65, 1- 30 (2022)
10 LI, Z., WANG, L., and LUO, Z. A feature-driven robust topology optimization strategy considering movable non-design domain and complex uncertainty. Computer Methods in Applied Mechanics and Engineering, 401, 115658 (2022)
11 WANG, L., LIU, Y., LI, Z., HU, J., and HAN, B. Non-probabilistic reliability-based topology optimization (NRBTO) scheme for continuum structures based on the strength constraint parameterized level set method and interval mathematics. Thin-Walled Structures, 188, 110856 (2023)
12 QUARANTA, G. Finite element analysis with uncertain probabilities. Computer Methods in Applied Mechanics and Engineering, 200 (1-4), 114- 129 (2011)
13 LV, Z., and QIU, Z. P. A direct probabilistic approach to solve state equations for nonlinear systems under random excitation. Acta Mechanica Sinica, 32, 941- 958 (2016)
14 WANG, L., ZHAO, Y., LIU, J., and ZHOU, Z. Uncertainty-oriented optimal PID control design framework for piezoelectric structures based on subinterval dimension-wise method (SDWM) and non-probabilistic time-dependent reliability (NTDR) analysis. Journal of Sound and Vibration, 549, 117588 (2023)
15 JIANG, C., ZHANG, Q. F., HAN, X., LIU, J., and HU, D. A. Multidimensional parallelepiped model j a new type of non-probabilistic convex model for structural uncertainty analysis. International Journal for Numerical Methods in Engineering, 103, 31- 59 (2015)
16 QIU, Z., and WANG, X. Parameter perturbation method for dynamic responses of structures with uncertain-but-bounded parameters based on interval analysis. International Journal of Solids & Structures, 42, 4958- 4970 (2005)
17 GAO, W., WU, D., SONG, C., TIN-LOI, F., and LI, X. Hybrid probabilistic interval analysis of bar structures with uncertainty using a mixed perturbation Monte-Carlo method. Finite Elements in Analysis & Design, 47, 643- 652 (2011)
18 WANG, L., and XIONG, C. A novel methodology of sequential optimization and non-probabilistic time-dependent reliability analysis for multidisciplinary systems. Aerospace Science and Technology, 94, 105389 (2019)
19 KHARMANDA, G. and OLHOFF, N. Reliability-based topology optimization as a new strategy to generate different structural topologies. 15th Nordic Seminar on Computational Mechanics, Aalborg, Denmark (2002)
20 WANG, X. J., QIU, Z., and ELISHAKOFF, I. Non-probabilistic set-theoretic model for structural safety measure. Acta Mechanica Sinica, 198, 51- 64 (2008)
21 ELISHAKOFF, I., and COLOMBI, P. Combination of probabilistic and convex models of uncertainty when scarce knowledge is present on acoustic excitation parameters. Computer Methods in Applied Mechanics & Engineering, 104, 187- 209 (1993)
22 BEN-HAIM, Y A non-probabilistic concept of reliability. Structural Safety, 14, 227- 245 (1994)
23 MENG, Z., HU, H., and ZHOU, H. L. Super parametric convex model and its application for nonprobabilistic reliability-based design optimization. Applied Mathematical Modelling, 55, 354- 370 (2018)
24 WANG, L., XIA, H., ZHANG, X., and LV, Z. Non-probabilistic reliability-based topology optimization of continuum structures considering local stiffness and strength failure. Computer Methods in Applied Mechanics and Engineering, 346, 788- 809 (2019)
25 WANG, L., LIU, D., YANG, Y., WANG, X., and QIU, Z. A novel method of non-probabilistic reliability-based topology optimization corresponding to continuum structures with unknown but bounded uncertainties. Computer Methods in Applied Mechanics and Engineering, 326, 573- 595 (2017)
26 RASPANTI, C. G., BANDONI, J. A., and BIEGLER, L. T. New strategies for flexibility analysis and design under uncertainty. Computers & Chemical Engineering, 24, 2193- 2209 (2000)
27 BRUNS, T. E., and TORTORELLI, D. A. Topology optimization of non-linear elastic structures and compliant mechanisms. Computer Methods in Applied Mechanics & Engineering, 190, 3443- 3459 (2001)
28 LI, Z., WANG, L., and XINYU, G. A level set reliability-based topology optimization (LS-RBTO) method considering sensitivity mapping and multi-source interval uncertainties. Computer Methods in Applied Mechanics and Engineering, 419, 116587 (2024)
Outlines

/

APS Journals | CSTAM Journals | AMS Journals | EMS Journals | ASME Journals