A nonprobabilistic reliability–based topology optimization method of compliant mechanisms with interval uncertainties. (27th May 2019)

• Record Type: Journal Article
• Authors: Wang, Lei; Liang, Jinxiong; Chen, Wenpin; Qiu, Zhiping
• Is Part Of: International journal for numerical methods in engineering. Volume 119:Number 13(2019)
• Page Start: 1419
• Page End: 1438
• Publication Date: 2019-05-27
• Subjects: compliant mechanisms -- motion error -- nonprobabilistic reliability–based topology optimization -- the adjoint vector method -- the set‐theoretical interval method; Numerical analysis -- Periodicals; Engineering mathematics -- Periodicals; 620.001518
• DOI: 10.1002/nme.6097
• Languages: English
• ISSNs: 0029-5981

Abstract

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.