基于拓学的天然气管道网络的连接可靠性分析和优化研究
Xiuxuan Yang1, Kun Chen2,3, Minghui Liu4
1College of safety engineering, Chongqing University of Science and Technology, Chongqing, 401331, China.
Scientific reports
|April 18, 2025
概括
这项研究使用新的框架提高了天然气管道的可靠性. 循环网络和自适应优化显著提高了连接性和基础设施弹性.
科学领域:
- 工程 工程师 工程师 工程师
- 网络科学 网络科学
- 计算科学 计算科学
背景情况:
- 天然气管道网络正在迅速扩张,特别是在中国.
- 传统的可靠性模型对于复杂的大规模循环管道系统是不够的.
- 强有力的评估和优化对于基础设施弹性至关重要.
研究的目的:
- 开发一个综合框架,用于评估天然气管道网络的可靠性和拓优化.
- 提高循环系统可靠性计算的效率和准确性.
- 提高天然气基础设施的整体弹性和连接性.
主要方法:
- 一个基于最小路径集的可靠性模型,使用增强的深度首次搜索 (DFS) 算法和二进制决策图 (BDD).
- 适应性遗传算法 (AGA) 用于拓优化,动态调整参数和执行工程约束.
- 使用蒙特卡洛模拟和粒子群优化 (PSO) 的比较分析.
主要成果:
- 循环管道结构的平均可靠性比分支结构高25.7%.
- 通过AGA优化,全系统连接可靠性从0.03提高到0.247,超过了PSO的65%.
- 集中式天然气来源和循环配置显著提高了网络冗余性和弹性.
结论:
- 拟议的综合框架为管道网络设计提供了计算效率高,可扩展的解决方案.
- 这些发现为提高天然气基础设施的弹性提供了可操作的见解.
- 这项研究证明了适应拓优化对复杂管道系统的有效性.
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