Usage of fuzzy logic method for tunnel boring machines

Omur Acaroglu Ergun*

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Özet

Performance prediction of mechanical excavation machines is vitally important to determine whether the machine is proper for the formation being excavated and to define the cost of the project before starting it. There are a number of analytical, empirical and numerical models for this aim. Many engineering and geological systems have many imprecision and uncertainties and exact solution rarely exist. Beside effects of many parameters, dealing with rock makes the estimation of cutting forces and tunnel boring machine's performance prediction problem complex. Alternative methods such as fuzzy logic have become useful to research such problems having uncertainties in recent years. Fuzzy logic approaches provides to evaluate all data without accepting precondition and depending on special conditions. Therefore, this method has found widespread application to solve problems in these systems including mechanical excavation applications In this study, models which are established by fuzzy logic method are explained to estimate the performance prediction parameters of tunnel boring machines such as specific energy, torque and thrust requirement.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıProceedings of the 3nd World Congress on Mechanical, Chemical, and Material Engineering, MCM 2017
YayınlayanAvestia Publishing
ISBN (Basılı)9781927877326
DOI'lar
Yayın durumuYayınlandı - 2017
EtkinlikProceedings of the 3nd World Congress on Mechanical, Chemical, and Material Engineering, MCM 2017 - Rome, Italy
Süre: 8 Haz 201710 Haz 2017

Yayın serisi

AdıProceedings of the World Congress on Mechanical, Chemical, and Material Engineering
ISSN (Elektronik)2369-8136

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???event.eventtypes.event.conference???Proceedings of the 3nd World Congress on Mechanical, Chemical, and Material Engineering, MCM 2017
Ülke/BölgeItaly
ŞehirRome
Periyot8/06/1710/06/17

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Publisher Copyright:
© Avestia Publishing, 2016.

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