Fuzzy inference-based approach to the mining-induced pipeline failure estimation

被引:0
|
作者
A. A. Malinowska
机构
[1] AGH University of Science and Technology,
来源
Natural Hazards | 2017年 / 85卷
关键词
Pipelines failure analysis; Horizontal strain; Subsidence; GIS; Fuzzy logic;
D O I
暂无
中图分类号
学科分类号
摘要
The correct evaluation of failure hazard in water and gas supply pipelines has been a great problem in areas which are subject to considerable surface movements. The complexity of elements from which pipeline network consists allows only for an approximated evaluation of their resistance. It is practically impossible to precisely determine the places of failures, and therefore attempts were made in the paper to construe a fuzzy system of evaluation of water supply network hazard which would be integrated with the geographic information system (GIS). The uncertainty factor was to be accounted for in the system through the use of linguistic variables, e.g., resistance of water pipeline and hazard of the terrain in the form of fuzzy sets. The reasoning was based on a Mamdani-type fuzzy model. The inferences of variables relating to the resistance of the pipeline supply network and hazards generated by continuous surface strains could be integrated in the presented fuzzy model. The ultimately scaled model was integrated with the geographic information system. The model was presented on the example of hazard evaluation of water supply network located in a mining area.
引用
下载
收藏
页码:621 / 636
页数:15
相关论文
共 50 条
  • [21] Assessment of failure mechanisms in deep longwall faces based on mining-induced seismicity
    Satar Mahdevari
    Kourosh Shahriar
    Mostafa Sharifzadeh
    Dwayne D. Tannant
    Arabian Journal of Geosciences, 2016, 9
  • [22] A Review of the Inference-Based Approach to Obsessive Compulsive Disorder
    O'Connor, Kieron
    Ecker, Willi
    Lahoud, Monique
    Roberts, Sarah
    VERHALTENSTHERAPIE, 2012, 22 (01) : 47 - 55
  • [23] Fuzzy inference-based control approach for thermal-visual comfort and air quality in indoor environments
    Saade, Jean J.
    Ramadan, Ali H.
    ROBOTICS, CONTROL AND MANUFACTURING TECHNOLOGY, 2008, : 173 - 180
  • [24] Fuzzy Inference-Based Reliable Fall Detection Using Kinect and Accelerometer
    Kepski, Michal
    Kwolek, Bogdan
    Austvoll, Ivar
    ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, PT I, 2012, 7267 : 266 - 273
  • [25] Modeling study on the influence of the strip filling mining sequence on mining-induced failure
    Jiang, Ning
    Wang, Changxiang
    Pan, Haiyang
    Yin, Dawei
    Ma, Junbiao
    ENERGY SCIENCE & ENGINEERING, 2020, 8 (06) : 2239 - 2255
  • [26] Prediction of underground mining-induced subsidence: Artificial neural network based approach
    Nguyen, Long Quoc
    Le, Tam Thanh Thi
    Nguyen, Trong Gia
    Tran, Dinh Trong
    MINING OF MINERAL DEPOSITS, 2023, 17 (04): : 45 - 52
  • [27] An Adaptive Neuro-Fuzzy Inference System-Based Approach for Oil and Gas Pipeline Defect Depth Estimation
    Mohamed, Abduljalil
    Hamdi, Mohamed Salah
    Tahar, Sofiene
    2015 SAI INTELLIGENT SYSTEMS CONFERENCE (INTELLISYS), 2015, : 35 - 42
  • [28] Current status and progress on the estimation of mining-induced building damage
    College of Geoscience and Surveying Engineering, China University of Mining and Technology , Beijing
    100083, China
    不详
    100083, China
    Meitan Xuebao, 8 (1718-1728):
  • [29] Fuzzy inference-based reinforcement learning of dynamic recurrent neural networks
    Jun, HB
    Lee, DW
    Kim, DJ
    Sim, KB
    SICE '97 - PROCEEDINGS OF THE 36TH SICE ANNUAL CONFERENCE, INTERNATIONAL SESSION PAPERS, 1997, : 1083 - 1088
  • [30] Dynamic forecasting of mining-induced failure depth of floor based on unascertained clustering method
    Cheng, Aiping
    Gao, Yongtao
    Liang, Xingwang
    Ji, Maowei
    Wang, Cunwen
    Gao, Yanhua
    Caikuang yu Anquan Gongcheng Xuebao/Journal of Mining and Safety Engineering, 2014, 31 (05): : 739 - 744