Liu Xiaohui, Zhang Manyin, Sun Zhizhong, Zhang Huyuan, Zhang Yimin
School of Civil Engineering and Mechanics, Lanzhou University, Lanzhou, 730000, Gansu, China.
Southwest Pipeline Company, Network Group Corporation, Chengdu, 730000, Sichuan, China.
Sci Rep. 2021 Jul 29;11(1):15422. doi: 10.1038/s41598-021-94882-2.
The comprehensive evaluation of pipeline loess collapsibility risk is a necessary means to control the safety risks of pipelines in the collapsible loess section. It is also one of the critical scientific bases for risk prevention, control, and management. The comprehensive evaluation system of cloud theory consists of quantitative and qualitative indexes, and the evaluation system has the characteristics of randomness and fuzziness. In view of this problem, the standard qualitative and semi-quantitative evaluation methods have intense subjectivity in dealing with the uncertainty problems such as randomness and fuzziness of the system, the cloud theory, which can effectively reflect the randomness and fuzziness of things at the same time, is introduced. The state scale cloud and index importance weight cloud of pipeline loess collapse risk are constructed by the golden section method. The uncertainty cloud reasoning process of the quantitative indexes and the expert scoring method of the qualitative indexes are proposed. The comprehensive evaluation model of loess collapsibility risk of oil and gas pipeline is established, and the engineering example is analyzed. The complete evaluation results of 10 samples to be evaluated are consistent with the results of the semi-quantitative method and are compatible with the actual situation. The evaluation process softens the subjective division of index boundary, simplifies the preprocessing of index data, realizes the organic integration of quantitative and qualitative decisions, and improves the accuracy, rationality, and visualization of the results.
管道黄土湿陷性风险综合评价是控制湿陷性黄土地区管道安全风险的必要手段,也是风险预防、控制与管理的关键科学依据之一。云理论综合评价体系由定量和定性指标组成,该评价体系具有随机性和模糊性的特点。针对这一问题,由于标准的定性和半定量评价方法在处理系统随机性和模糊性等不确定性问题时主观性较强,因此引入了能同时有效反映事物随机性和模糊性的云理论。采用黄金分割法构建了管道黄土湿陷风险的状态尺度云和指标重要性权重云,提出了定量指标的不确定性云推理过程和定性指标的专家打分方法,建立了油气管道黄土湿陷性风险综合评价模型,并进行了工程实例分析。10个待评价样本的完整评价结果与半定量方法的结果一致,且与实际情况相符。该评价过程弱化了指标边界的主观划分,简化了指标数据的预处理,实现了定量与定性决策的有机结合,提高了结果的准确性、合理性和可视化程度。