2018
DOI: 10.3390/app9010091
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GPU Acceleration of Hydraulic Transient Simulations of Large-Scale Water Supply Systems

Abstract: Simulating hydraulic transients in ultra-long water (oil, gas) transmission or large-scale distribution systems are time-consuming, and exploring ways to improve the simulation efficiency is an essential research direction. The parallel implementation of the method of characteristics (MOC) on graphics processing unit (GPU) chips is a promising approach for accelerating the simulations, because GPU has a great parallelization ability for massive but simple computations, and the explicit and local features of MO… Show more

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Cited by 7 publications
(5 citation statements)
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“…Griebel et al [164] simulated three-dimensional multiphase flows on multiple GPUs. Meng et al [165] successfully completed parallel integration of the MOC with GPUs, thus confirming its attractiveness for this application.…”
Section: Future Research Directions For Water Hammer Modellingmentioning
confidence: 89%
“…Griebel et al [164] simulated three-dimensional multiphase flows on multiple GPUs. Meng et al [165] successfully completed parallel integration of the MOC with GPUs, thus confirming its attractiveness for this application.…”
Section: Future Research Directions For Water Hammer Modellingmentioning
confidence: 89%
“…Subtracting the two red critical curves, a possibility distribution under different discharges is shown as the right half part in Figure 13, where the red On the other hand, in long stepped pipeline systems, the entrapped air is undesirable because the two-phase flow is likely to be harmful including local air retention and cavitation [31]. In these situations, the stepped wells can help release the entrapped air and reduce the intensity of the water hammer by cutting long pressured pipelines apart [32][33][34][35][36][37][38][39]. These strategies have to be studied with the goal of preventing submerged horizontal vortices [40].…”
Section: Discussionmentioning
confidence: 99%
“…In the context of WDSs, several works have demonstrated that parallel transient models can accelerate the MOC providing a better balance between computational performance and accuracy. Meng, Cheng, Wu, Yang, Zhu, et al (2019a) proposed the GPU-MOC method to accurately solve the transient model for single pipes using parallel computing. The GPU-MOC method computes the discrete MOC equations in parallel using GPUs.…”
Section: Previous Work In Transient Flow Modelingmentioning
confidence: 99%
“…Furthermore, it is unclear how scalable the GPU-MOC algorithm is for realistic WDSs, since the size of the problem may exceed the capacity of a GPU block, which is common when having large-scale networks with thousands of pipes and boundary conditions. Additionally, by focusing on the computations of single-pipe equations, parallel implementations of MOC, such as the ones developed by Meng, Cheng, Wu, Yang, Zhu, et al (2019a) and Meng, Cheng, Wu, Yang, Shang, et al (2019b), overlook the deeper problem of computing transient flow equations with boundary conditions. Computing boundary conditions is not only inherent to the transient flow problem in WDSs, but also critical to ensure scalability.…”
Section: Previous Work In Transient Flow Modelingmentioning
confidence: 99%