TitleEstimation of the Parameters Affecting the Water Pipelines on the Mining Terrains with A Use of An Adaptive Fuzzy System
Journal titleArchives of Mining Sciences
Divisions of PASNauki o Ziemi
Archives of Mining Sciences (AMS) publish research results of wide interest in all fields of mining sciences which include: rock mechanics, mining engineering, mineral processing, geotechnical engineering and tunnelling, mining and engineering geology, minig geodesy and geophysics, ventilation systems, environmental protection in mining and economical aspects in mining.
The journal established by the Polish Academy of Sciences, has been regularly issued since 1956. It enable collaboration and exchange of ideas between researchers from different countries as well as provides forum for the publication of high quality papers.
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IMPACT FACTOR 2017: 0.629, 5-year: 0,706
Score of the Ministry of Science and Higher Education = 20
PublisherCommittee of Mining PAS
ReferencesWang (2007), FEM modeling for D dynamic analysis of deep - ocean mining pipeline and its experimental verification Cent South Univ No, Technol, 14, 3. ; Arangueren (2002), Hardware implementation ofa pipeline fuzzy controller and software tools Fuzzy Sets and, Systems, 128, 61. ; Shahriar (2012), Risk analysis for oil & gas pipelines : A sustainability assessment approach using fuzzy based bow - tie analysis of Loss Prevention in the Process, Journal Industries, 25, 505. ; Xingquan Liu (2011), GIS - based Fuzzy Comprehensive Evaluation on Underground Gas Pipeline Risk, Energy Procedia, 11, 3911. ; Bonvicini (1998), Risk analysis of hazardous materials transportation : evaluating uncertainty by means of fuzzy logic of, Journal Hazardous Materials, 62, 59, doi.org/10.1016/S0304-3894(98)00158-7 ; Stryczek (2004), The method of gravity injection to the mining voids in salt mines No, Arch Min Sci, 49. ; Gao (2013), Ultimate bearing capacity of a pipeline on clayey soils : Slip - line field solution and FEM simulation, Ocean Engineering, 73, 159, doi.org/10.1016/j.oceaneng.2013.09.003 ; Zadeh (1965), Fuzzy sets Information and, Control, 8, 338, doi.org/10.1016/S0019-9958(65)90241-X ; Cao (2010), Field experiments and FEM analysis of third - party damaged oil transmission pipeline Failure, Engineering Analysis, 17, 344, doi.org/10.1016/j.engfailanal.2009.08.001 ; Esayed (2009), Fuzzy inference system for the risk assessment of liquefied natural gas carriers during loading / offloading at terminal Ocean Research, Applied, 31. ; Markowski (2009), Fuzzy logic for piping risk assessment ( pfLOPA ) of Loss Prevention in the Process, Journal Industries, 22, 921. ; Han (2011), Comparison study on qualitative and quantitative risk assessment methods for urban natural gas pipeline network of, Journal Hazardous Materials, 189, 509, doi.org/10.1016/j.jhazmat.2011.02.067 ; Malinowska (2011), A fuzzy inference - based approach for building damage risk assessment on mining terrains No, Engineering Structures, 33. ; Dong Yuhua (2005), Estimation of failure probability of oil and gas transmission pipelines by fuzzy fault tree analysis of Loss Prevention in the Process, Journal Industries, 18, 83. ; Lv Yaqiong (2011), Fuzzy theory applied in quality management of distributed manufacturing system A literature review and classification Engineering Applications of Artificial, Intelligence, 24, 266.