@Article{icces.2023.010050,
AUTHOR = {Yonggang Zheng, Hanbo Zhang, Jingyan Li, Hui Li, Hongfei Ye, Hongwu Zhang},
TITLE = {A	Coupled	Peridynamics	Model	for	the	Ablation	and	Plastic	Fracture	 Simulation	of	Reactor	Pressure	Vessels},
JOURNAL = {The International Conference on Computational \& Experimental Engineering and Sciences},
VOLUME = {25},
YEAR = {2023},
NUMBER = {1},
PAGES = {1--2},
URL = {http://www.techscience.com/icces/v25n1/53819},
ISSN = {1933-2815},
ABSTRACT = {The	 reactor	 pressure	 vessels (RPV),	 a	 typical	 kind	 of	 axisymmetric	 structures, usually serve	 under	 high	
temperature	 and	 pressure	 conditions. The	 numerical	 analysis	 of	 the mechanical	 behaviors	 of	 these
structures	plays	a	dominant	role	for	their	structural	design,	advanced	manufacture	and	safety	assessment	
in	practical	engineering	applications[1-2]. However,	the	extremely	conditions bring	great	challenges for	the	
numerical	analysis	of	structures	undergo	ablation,	plastic,	damage	and	even	fracture during	an	accident[3].
Based	on the	superior performance	of	peridynamics	model	in	predicting	fracture	behaviors	[4-7],	a coupled	
axisymmetric	 non-ordinary	 state-based	 peridynamics	 (CA-NOSB-PD)	 model	 is	 proposed	 in	 this	 work	 to	
predict	 the	 ablation,	 plastic	 and	 fracture	 behaviors	 of	metals. In	 this	model,	 the	 governing	 equations	 of	
axisymmetric	thermo-mechanical	problems	are	derived	based	on	the	separation	of	the	deformations	along	
the	in- and	out-plane	directions.	A	temperature-associated criterion	is	developed to	determine	the	ablation
evolution. Three	kinds	of	moving	boundary	models	are	proposed	to	handle	the	varying	geometries	during	
the	 ablation	 process,	including	laser, contact	 and	 penetration	 ablation. The	Lemaitre’s	damage	model	is	
incorporated	 into	 the	 CA-NOSB-PD	 model	 to	 effectively	 describe	 the	 damage	 behaviors. A	 damageassociated	criterion	is	further	proposed	to	determine	the	crack	propagation. Finally,	numerical	simulations	
demonstrate	 that	 the	 proposed	 CA-NOSB-PD	 model	 can	 effectively	 and	 accurately	 capture	 the	 plastic	
response	and	predict	the	crack	propagation	of	RPVs	under	extreme	thermal	loadings.},
DOI = {10.32604/icces.2023.010050}
}