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A nonprobabilistic reliability–based topology optimization method of compliant mechanisms with interval uncertainties
Author(s) -
Wang Lei,
Liang Jinxiong,
Chen Wenpin,
Qiu Zhiping
Publication year - 2019
Publication title -
international journal for numerical methods in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.421
H-Index - 168
eISSN - 1097-0207
pISSN - 0029-5981
DOI - 10.1002/nme.6097
Subject(s) - reliability (semiconductor) , uncertainty quantification , mathematics , isotropy , mathematical optimization , topology optimization , interval (graph theory) , computer science , finite element method , engineering , statistics , structural engineering , power (physics) , physics , quantum mechanics , combinatorics
Summary On account of the inevitable multisource uncertainty factors in compliant mechanisms, which seriously affect the accuracy of output motion, a nonprobabilistic reliability–based topology optimization (NRBTO) framework for compliant mechanisms with interval uncertainties is introduced. Combined with the solid isotropic material with penalization (SIMP) model and the set‐theoretical interval method, the uncertainty quantification analysis is conducted to obtain mathematical approximations and boundary laws of considered mean compliance. By normalization treatment of the limit‐state function, a new quantified measure of the nonprobabilistic reliability is then defined. The compliance‐based NRBTO design method ensures the output motion realizing its target value accurately considering the uncertainty factors. The sensitivities of the nonprobabilistic reliability index with respect to design variables are calculated by the adjoint vector method. Two engineering examples are eventually presented to illustrate the applicability and the validity of the present problem statement as well as the proposed numerical techniques.