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Fast GPU simulation of reinforced concrete at the scale of reinforcement ribs by the discrete element method

机译:钢筋混凝土尺度下钢筋混凝土的GPU快速离散元模拟

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摘要

THE PAPER PRESENTS THE DEVELOPMENT OF THE GPU-BASED DISCRETE ELEMENT METHOD (DEM) code for simulating damage and fracture of cohesive solids with application to reinforced concrete at the scale of reinforcement ribs. The solid volume of concrete and steel is modelled by bonded spherical particles. Very fine discretization, containing more than million particles, is applied to describe the 3D reinforcement bar geometry at the scale of ribs and to investigate cracking behaviour of concrete near the reinforcement bar. The numerical model is validated by using experimental results of the double pull-out test. Influence of the discretization scale to the numerical solution is evaluated by using the reinforcement strain profiles and the cracking patterns. The developed GPU-based DEM algorithm efficiently handles interaction of particles, does not require any atomic operation and allows performing fast damage and fracture simulations with large number of particles. The performance measured on GPU is compared with that attained on different CPUs for varying number of particles. The high value of the Cundall number (particle number multiplied by time steps computed per second) equal to 4.3E+07 is measured on NVIDIA (R) Tes1a (TM) P100 GPU in the case of 1858560 particles.
机译:该论文介绍了基于GPU的离散元方法(DEM)代码的发展,该代码用于模拟粘结性固体的破坏和破裂,并应用于在钢筋肋范围内的钢筋混凝土。混凝土和钢的固体体积是由粘结的球形颗粒模拟的。包含超过一百万个粒子的非常精细的离散化被用来描述3D钢筋在肋骨尺度上的几何形状,并研究钢筋附近的混凝土的开裂行为。通过使用双重拉拔试验的实验结果验证了该数值模型。离散尺度对数值解的影响是通过使用钢筋应变曲线和裂纹模式来评估的。基于GPU的已开发DEM算法可以有效地处理粒子的相互作用,不需要任何原子操作,并且可以对大量粒子执行快速的损伤和断裂模拟。将在GPU上测得的性能与不同数量的粒子在不同CPU上获得的性能进行比较。在1858560个粒子的情况下,在NVIDIA(R)Tes1a(TM)P100 GPU上测量了等于4.3E + 07的Cundall数(粒子数乘以每秒计算的时间步长)的高值。

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