CAJ | 학술논문

光滑粒子水动力学（ SPH）方法对模拟破碎波问题有着良好的适应性。基于众核架构的GPU计算平台在加速SPH方法方面有着强大的优势。针对传统SPH方法计算效率低和计算精度差的问题，采用δ?SPH方法对腔内剪切流动、Poiseuille流动、Couette流动问题、孤立波砰击问题进行了模拟，并且提出一种基于粒子对的GPU并行计算方法。通过比较，得到不同边界处理方法对粘性流场模拟结果的影响规律，并且研究基于粒子对和单个粒子2种不同GPU并行计算方法，对比不同计算方法的精度和CPU时间。结果表明，采用粒子对的GPU并行方法可以使δ?SPH方法的最大加速比超过10。
광활입자수동역학（ SPH）방법대모의파쇄파문제유착량호적괄응성。기우음핵가구적GPU계산평태재가속SPH방법방면유착강대적우세。침대전통SPH방법계산효솔저화계산정도차적문제，채용δ?SPH방법대강내전절류동、Poiseuille류동、Couette류동문제、고립파팽격문제진행료모의，병차제출일충기우입자대적GPU병행계산방법。통과비교，득도불동변계처리방법대점성류장모의결과적영향규률，병차연구기우입자대화단개입자2충불동GPU병행계산방법，대비불동계산방법적정도화CPU시간。결과표명，채용입자대적GPU병행방법가이사δ?SPH방법적최대가속비초과10。
The smoothed particle hydrodynamics ( SPH) method has a good adaptability for the simulation of breaking wave problems. The GPU computing platform based on many?core architecture has a strong advantage in SPH method acceleration. In view of the low efficiency and the accuracy problem of traditional SPH method, this paper puts forward a new GPU parallel computing model based on the particle pair and improvedδ?SPH method for simulating viscosity flows such as lid?drive cavity flow, Poiseuille flow, Couette flow and solitary wave slamming. According to the comparison of different boundary handling methods, their rules on viscous flow simulation are got. Furthermore, two GPU parallel calculation methods which are respectively based on the particle pair and single par?ticle are researched, and their accuracy and CPU time are compared. The results show that the GPU parallel calcu?lation method based on particle pairs makesδ?SPH exceed 10 times of the maximum speed?up ratio.