Open AccessShakedown loading capacity prediction of metal-based nanocomposites
Author(s) -
Sina Soleimanian,
Min Chen,
Derrick Tate,
Shunqi Zhang
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1303/1/012005
Subject(s) - shakedown , load bearing , finite element method , discretization , reinforcement , structural engineering , nanocomposite , bearing capacity , materials science , engineering , composite material , mathematics , mathematical analysis
Nano reinforcement of metals cannot escape the attention of designers who seek to improve overall performance of engineering structures from automotive components to biomedical devices. Since many engineering structures are susceptible to variable cyclic load, presenting shakedown design of them is of the present research interest. So that, in the present research the shakedown loading capacity of metal based nanocomposite is estimated through finite element discretization and interior point optimization method. Finally, the results are obtained for plate structures subjected to two independent biaxial loads. A maximum improvement of 71.2% is achieved for shakedown load factor of the structure, which means a remarkable improvement in load bearing capacity of the structure.