TY - JOUR
T1 - Inverse identification of tensile and compressive damage properties of graphite material based on a single four-point bending test
AU - Liu, Guangyan
AU - Wang, Lu
AU - Yi, Yanan
AU - Sun, Libin
AU - Shi, Li
AU - Jiang, Han
AU - Ma, Shaopeng
N1 - Publisher Copyright:
© 2018 Elsevier B.V.
PY - 2018/10
Y1 - 2018/10
N2 - Nuclear graphite is a key material in high-temperature gas-cooled reactors (HTGR). The evaluation of its damage evolution is significant for the safety assessment of nuclear graphite structures. However, it is difficult to characterise the damage properties of nuclear graphite using conventional testing approaches such as uniaxial compression and tension tests, considering the inconvenience of conducting uniaxial tension tests. Therefore, an inverse method was developed in this study to identify the damage parameters of a graphite material IG11, which has almost the same mechanical properties as nuclear graphite IG110. The method is based on the non-contact digital image correlation (DIC) and finite element model updating (FEMU) techniques, and damage-induced nonlinear stress–strain curves for both tension and compression were simultaneously obtained by conducting only one four-point bending test. To improve the inverse efficiency, a double iterative technique was employed using the Nelder–Mead optimisation algorithm. The inverse method was verified by simulated tests and a rapid convergence with good accuracy was achieved. The results show that the IG11 graphite material exhibits distinct damage evolution behaviours under tensile and compressive loading, with the former inflicting more damage at the same strain level.
AB - Nuclear graphite is a key material in high-temperature gas-cooled reactors (HTGR). The evaluation of its damage evolution is significant for the safety assessment of nuclear graphite structures. However, it is difficult to characterise the damage properties of nuclear graphite using conventional testing approaches such as uniaxial compression and tension tests, considering the inconvenience of conducting uniaxial tension tests. Therefore, an inverse method was developed in this study to identify the damage parameters of a graphite material IG11, which has almost the same mechanical properties as nuclear graphite IG110. The method is based on the non-contact digital image correlation (DIC) and finite element model updating (FEMU) techniques, and damage-induced nonlinear stress–strain curves for both tension and compression were simultaneously obtained by conducting only one four-point bending test. To improve the inverse efficiency, a double iterative technique was employed using the Nelder–Mead optimisation algorithm. The inverse method was verified by simulated tests and a rapid convergence with good accuracy was achieved. The results show that the IG11 graphite material exhibits distinct damage evolution behaviours under tensile and compressive loading, with the former inflicting more damage at the same strain level.
KW - Damage
KW - Digital image correlation
KW - Finite element model updating
KW - Inverse optimisation algorithm
KW - Nuclear graphite
UR - http://www.scopus.com/inward/record.url?scp=85049941109&partnerID=8YFLogxK
U2 - 10.1016/j.jnucmat.2018.07.022
DO - 10.1016/j.jnucmat.2018.07.022
M3 - Article
AN - SCOPUS:85049941109
SN - 0022-3115
VL - 509
SP - 445
EP - 453
JO - Journal of Nuclear Materials
JF - Journal of Nuclear Materials
ER -