Affiliation:
1. College of Architecture and Civil Engineering, Chengdu University, Chengdu 610106, China
2. College of Civil Engineering and Architecture, China Three Gorges University, Yichang 443002, China
3. Northwest Research Institute of Engineering Investigation and Design, Xi’an 710003, China
Abstract
To improve the seismic connectivity reliability (SCR) analysis efficiency of water distribution systems (WDS) based on Monte Carlo (MC) simulation, the quasi-Monte Carlo (QMC) method sampled by a low-discrepancy sequence is applied. Furthermore, a parallel algorithm combined with the breadth-first search algorithm for SCR analysis of WDS based on the QMC method and Compute Unified Device Architecture (CUDA) platform was proposed. A city WDS was taken as a computational example, the accuracy and efficiency of the traditional MC algorithm and parallel algorithm were compared, and the influence of the Sobol sequence and pseudo-random number sequence was analysed. The analysis results show that when 1,000,000 simulations are performed, the maximum error of the calculation results of the two methods is 0.2%, and the parallel method can obtain a six-fold speedup ratio compared with the serial method, indicating that the proposed parallel method is correct, meets the accuracy requirements, and helps to improve the SCR analysis efficiency. When the number of simulations is the same, the simulation results based on the Sobol sequence are more accurate than those based on the pseudo-random number sequence. The proposed parallel method also achieves a good acceleration effect in the SCR analysis of large-scale WDS.
Funder
Chengdu University New Faculty Start-up Funding
National Key Research and Development Program of China
Key Research and Development Program of Shaanxi Province
Xi’an Science and Technology Project
Subject
Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry