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A thermoviscoelastic finite deformation constitutive model based on dual relaxation mechanisms for amorphous shape memory polymers
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作者 Hao Duan Jianping Gu +2 位作者 Hao Zeng Akbar A.Khatibi Huiyu Sun 《International Journal of Smart and Nano Materials》 SCIE EI 2023年第2期243-264,共22页
This paper proposes a new thermoviscoelastic finite deformation model incorporating dual relaxation mechanisms to predict the complete thermo-mechanical response of amorphous shape memory polymers.The model is underpi... This paper proposes a new thermoviscoelastic finite deformation model incorporating dual relaxation mechanisms to predict the complete thermo-mechanical response of amorphous shape memory polymers.The model is underpinned by the detailed microscopic molecular mechanism and effectively reflects the current understanding of the glass transition phenomenon.Novel evolution rules are obtained from the model to characterize the viscous flow,and a new theory named an internal stress model is introduced and combined with the dual relaxation mechanisms to capture the stress recovery.The rationality of the constitutive model is verified as the theoretical results agree well with the experimental data.Moreover,the constitutive model is further simplified to facilitate engineering applications,and it can roughly capture the characteristics of shape memory polymers. 展开更多
关键词 Shape memory polymers constitutive model dual relaxation mechanisms viscous flow rules internal stress model
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An exact algorithm for optimal redundancy in a series system with multiple component choices
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作者 孙小玲 阮宁 《Journal of Shanghai University(English Edition)》 CAS 2006年第1期15-19,共5页
In this paper, an exact algorithm was proposed for optimal redundancy in a series system with multiple component choices. A reformulation of the nonseparable reliability function was approximated by a separable intege... In this paper, an exact algorithm was proposed for optimal redundancy in a series system with multiple component choices. A reformulation of the nonseparable reliability function was approximated by a separable integer programming problem. The resulting separable nonlinear integer programming problem is used to compute upper bounds by Lagrangian relaxation and dual search. A special partition scheme was derived to reduce the duality gap in a branch-and-bound process, thus ensure the convergence of the algorithm. Computational results show that the algorithm is efficient for solving this class of reliability optimization problems. 展开更多
关键词 reliability optimization multiple component choices Lagrangian relaxation and dual search partition scheme numerical results.
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