TY  - EJOU
AU  - Liu, Jiahao 
AU  - Liu, Moubin 

TI  - MPI	Massive	Parallelization	of	Smoothed	Particle	Hydrodynamics	for	 Simulation	of	Impact	and	Explosion	Problems
T2  - The International Conference on Computational \& Experimental Engineering and Sciences

PY  - 2023
VL  - 25
IS  - 3
SN  - 1933-2815

AB  - The	 dynamic	 failure	 process	 of	 structures	 under impact	 and	 explosive loading	 is very	 common	 in	 both	
military	and	industrial	fields.	However,	the	conventional	mesh-based	method	has	some	shortcomings,	such	
as	large	mesh	distortion	and	sliding	surface	treatment. Some	typical	phenomena are difficult	to	be	simulated.
The	 smoothed	 particle hydrodynamics	 (SPH)	 method	 has	 natural	 advantages	 in	 treating	 large	 material	
deformations	in	impact	and	explosion	problems [1].	 To	make	the	SPH	method suitable	for	the	impact and	
explosion problems,	it	is	 also	improved	 by	 some	treatments [2] to	 avoid	inherent	 stress	instability and	
unphysical	oscillation.	However,	numerical	calculations	for	3D	engineering	applications,	especially	by the
SPH	method, are	time-consuming.	For	this	reason, we	introduce MPI	(Message	Passing	Interface)	in our	SPH	
scheme	 to	 reduce	 computational	 time. Some	 optimizations are	 introduced	 to	 enable the large-scale	
computing of	 the	 SPH	 method.	In	 particular,	 the	 memory	 footprint	 is	 controlled.	With	 the	 present	 MPI	
massive parallelization	ofthe SPH	model,	several validation	examples	are	tested	and	analyzed.	By	comparing	
present	 numerical	 results	with	 the	 reference	 data,	we	 demonstrate	 that	 the	parallel SPH	is	effective	 for	
modeling	various	impact	and	explosive	problems.	In	addition,	there	are	up	to	2.04	billion particles	in	our	
simulation.	 The	weak	 and	 strong	 scaling tests	 are	 adopted	 to	 show	 the	 scalability	 of	 the program. The	
maximum	 parallel	 efficiency	 can	 reach	 97%	 on	 10000	CPU	 cores.	Furthermore,	 a	 specific example	with	
impact	and	explosion	problems	is	well	simulated in	this	work.
KW  - Smoothed	particle	hydrodynamics;	message	passing	interface;	high	performance	computing;	fluid-structure	 interaction

DO  - 10.32604/icces.2023.010056