Other language title :
آﻧﺎﻟﯿﺰ ﻓﺮآﯾﻨﺪﻫﺎي آﺳﯿﺎب ﺷﻮﻧﺪﮔﯽ و ﺗﺸﮑﯿﻞ ﺗﺮاﺷﻪ زﯾﺮ دﯾﺴﮏ ﺑﺮﺷﯽ در ﻋﻤﻠﯿﺎت ﺣﻔﺎري ﻣﺎﺷﯿﻦ ﺣﻔﺮ ﺗﻮﻧﻞ در ﺳﻨﮓ ﺳﺨﺖ )ﻣﻮرد ﻣﻄﺎﻟﻌﺎﺗﯽ: ﺗﻮﻧﻞ اﻧﺘﻘﺎل آب اوﻣﺎ-اوﯾﺎ، ﺳﺮﯾﻼﻧﮑﺎ(
Title of article :
Analysis of Grinding and Chipping Processes beneath Disc Cutters of Hard Rock Tunnel Boring Machines (Case study: Uma-Oya water Conveyance Tunnel, SriLanka)
Author/Authors :
Pourhashemi, Mahdi Department of Mining Engineering - Science and Research Branch - Islamic Azad University - Tehran, Iran , Ahangari, Kaveh Department of Mining Engineering - Science and Research Branch - Islamic Azad University - Tehran, Iran , Hassanpour, Jafar School of Geology - College of Science - University of Tehran - Tehran, Iran , Eftekhari, Mosleh Department of Mining Engineering - Faculty of Engineering - Tarbiat Modares University - Tehran, Iran
Pages :
17
From page :
281
To page :
297
Abstract :
Mechanized tunneling in rocks is based on fracture propagation and rock fragmentation under disc cutters. Rock chipping is an efficient kind of fragmentation process, while the grinding process may occur under special conditions. The cutterhead penetration is an appropriate parameter involved in order to distinguish between the chipping and grinding processes in rock cutting. In this work, the grinding and chipping processes are investigated in the Uma-Oya water conveyance tunnel in Sri Lanka. The Uma-Oya project is a water transfer, hydropower, and irrigation system in the SE part of the central highland region of Sri-Lanka. From a geological viewpoint, most parts of the tunnel route in the studied section consist of very strong and abrasive metamorphic rocks that potentially are susceptible to grinding occurrence during the boring process under disc cutters. In this work, firstly, data processing is performed in order to identify the boundary between chipping and grinding. Then the chipping and grinding processes are modeled using the practical numerical and artificial intelligent methods. In the numerical modeling stage, we try to make the modeling as realistic as possible. The results obtained from these modeling methods show that for the penetrations less than 3 mm/rev, the grinding process is dominant, and for the penetrations more than 3 mm/rev, rock chipping occurs. Also, in the numerical modeling, no significant fracture expansion is observed in the rock when the penetration is less than 3 mm/rev. Moreover, it can be seen in the numerical modeling of the chipping process that the propagated fractures come together and the chips are created.
Farsi abstract :
ﺗﻮﻧﻞﺳﺎزي ﻣﮑﺎﻧﯿﺰه در ﺳﻨﮓ ﺑﺮ اﺳﺎس اﻧﺘﺸﺎر ﺷﮑﺴﺘﮕﯽ و ﺧﺮداﯾﺶ ﺳﻨﮓ در زﯾﺮ دﯾﺴﮏﻫﺎي ﺑﺮﺷﯽ اﻧﺠﺎم ﻣﯽﺷﻮد. ﺗﺸﮑﯿﻞ ﺗﺮاﺷﻪ ﻧﻮع ﮐﺎرآﻣﺪي از ﻓﺮآﯾﻨﺪ ﺧﺮدﮐﺮدن ﺳﻨﮓ اﺳﺖ، در ﺻﻮرﺗﯽ ﮐﻪ ﻓﺮآﯾﻨﺪ آﺳﯿﺎب ﺷﻮﻧﺪﮔﯽ در ﺷﺮاﯾﻂ ﺧﺎﺻﯽ رخ ﻣﯽدﻫﺪ. ﻧﻔﻮذ ﮐﻠﻪ ﺣﻔﺎر، ﯾﮏ ﭘﺎراﻣﺘﺮ ﻣﻨﺎﺳﺐ ﺟﻬﺖ ﺗﻤﺎﯾﺰ ﻣﯿﺎن ﻓﺮآﯾﻨﺪﻫﺎي آﺳﯿﺎب ﺷﻮﻧﺪﮔﯽ و ﺗﺸﮑﯿﻞ ﺗﺮاﺷﻪ در ﺑﺮش ﺳﻨﮓ اﺳﺖ. در اﯾﻦ ﻣﻄﺎﻟﻌﻪ، ﻓﺮآﯾﻨﺪﻫﺎي آﺳﯿﺎب ﺷﻮﻧﺪﮔﯽ و ﺗﺸﮑﯿﻞ ﺗﺮاﺷﻪ در ﭘﺮوژه اﻧﺘﻘﺎل آب اوﻣﺎ-اوﯾﺎ در ﺳﺮﯾﻼﻧﮑﺎ ﻣﻮرد ﺑﺮرﺳﯽ ﻗﺮار ﮔﺮﻓﺘﻪ اﺳﺖ. ﭘﺮوژه اوﻣﺎ-اوﯾﺎ ﯾﮏ ﭘﺮوژه اﻧﺘﻘﺎل آب، ﻧﯿﺮوﮔﺎﻫﯽ و آﺑﯿﺎري زﻫﮑﺸﯽ در ﺑﺨﺶ ﺟﻨﻮب ﺷﺮﻗﯽ ﻧﻮاﺣﯽ ﻣﺮﺗﻔﻊ ﻣﺮﮐﺰي ﺳﺮﯾﻼﻧﮑﺎ ﻣﯽﺑﺎﺷﺪ. از ﻧﻘﻄﻪ ﻧﻈﺮ زﻣﯿﻦﺷﻨﺎﺳﯽ، ﺑﯿﺸﺘﺮ ﻗﺴﻤﺖﻫﺎي ﻣﺴﯿﺮ ﺗﻮﻧﻞ در ﺑﺨﺶ ﻣﻮرد ﻣﻄﺎﻟﻌﻪ، ﺷﺎﻣﻞ ﺳﻨﮓﻫﺎي دﮔﺮﮔﻮﻧﯽ ﺑﺴﯿﺎر ﻣﺤﮑﻢ و ﺳﺎﯾﻨﺪه اﺳﺖ ﮐﻪ ﺑﻪ ﻃﻮر ﺑﺎﻟﻘﻮه ﻣﺴﺘﻌﺪ ﭘﺪﯾﺪه آﺳﯿﺎب ﺷﻮﻧﺪﮔﯽ در ﻃﯽ ﻓﺮآﯾﻨﺪ ﺑﺮش زﯾﺮ دﯾﺴﮏﻫﺎي ﺑﺮﺷﯽ ﻫﺴﺘﻨﺪ. در اﯾﻦ ﻣﻄﺎﻟﻌﻪ، اﺑﺘﺪا ﺑﻪ ﻣﻨﻈﻮر ﺗﺸﺨﯿﺺ ﻣﺮز ﺑﯿﻦ آﺳﯿﺎب ﺷﻮﻧﺪﮔﯽ و ﺗﺸﮑﯿﻞ ﺗﺮاﺷﻪ، دادهﻫﺎي ﭘﺮوژه ﻣﻮرد ﭘﺮدازش ﻗﺮار ﮔﺮﻓﺘﻪاﻧﺪ. ﺳﭙﺲ ﻓﺮآﯾﻨﺪﻫﺎي آﺳﯿﺎب ﺷﻮﻧﺪﮔﯽ و ﺗﺸﮑﯿﻞ ﺗﺮاﺷﻪ ﺑﺎ اﺳﺘﻔﺎده از روشﻫﺎي ﻋﺪدي و ﻫﻮش ﻣﺼﻨﻮﻋﯽ ﺷﺒﯿﻪﺳﺎزي ﺷﺪهاﻧﺪ. در ﻣﺮﺣﻠﻪ ﻣﺪلﺳﺎزي ﻋﺪدي، ﺗﻼش ﺷﺪه اﺳﺖ ﺗﺎ ﻣﺪلﻫﺎي ﺳﺎﺧﺘﻪ ﺷﺪه ﺑﻪ واﻗﻌﯿﺖ ﻧﺰدﯾﮏ ﺷﻮﻧﺪ. ﻧﺘﺎﯾﺞ ﮐﺴﺐ ﺷﺪه از اﯾﻦ روشﻫﺎي ﻣﺪلﺳﺎزي ﻧﺸﺎن ﻣﯽدﻫﻨﺪ ﮐﻪ ﺑﺮاي ﻧﺮخﻫﺎي ﻧﻔﻮذ ﮐﻤﺘﺮ از 3 ﻣﯿﻠﯿﻤﺘﺮ ﺑﺮ دور ﭘﺪﯾﺪه آﺳﯿﺎب ﺷﻮﻧﺪﮔﯽ ﻏﺎﻟﺐ ﺑﻮده و ﺑﺮاي ﻧﺮخ ﻧﻔﻮذ ﺑﯿﺸﺘﺮ از 3 ﻣﯿﻠﯿﻤﺘﺮ ﺑﺮ دور ﺗﺸﮑﯿﻞ ﺗﺮاﺷﻪ اﺗﻔﺎق ﻣﯽاﻓﺘﺪ. ﻫﻤﭽﻨﯿﻦ، در ﻣﺪلﺳﺎزي ﻋﺪدي ﻫﻨﮕﺎﻣﯽ ﮐﻪ ﻧﺮخ ﻧﻔﻮذ دﯾﺴﮏﻫﺎي ﺑﺮﺷﯽ ﮐﻤﺘﺮ از 3 ﻣﯿﻠﯿﻤﺘﺮ ﺑﺮ دور ﺑﺎﺷﺪ ﻫﯿﭽﮕﻮﻧﻪ ﮔﺴﺘﺮش ﺗﺮك ﻗﺎﺑﻞ ﺗﻮﺟﻬﯽ در ﺳﻨﮓ دﯾﺪه ﻧﻤﯽﺷﻮد. ﻋﻼوهﺑﺮاﯾﻦ، در ﻣﺪلﺳﺎزي ﻓﺮآﯾﻨﺪ ﺗﺸﮑﯿﻞ ﺗﺮاﺷﻪ ﻣﺸﺨﺺ اﺳﺖ ﮐﻪ ﺷﮑﺴﺘﮕﯽﻫﺎي ﻣﺨﺘﻠﻒ در ﺳﻨﮓ اﯾﺠﺎد و ﺑﻪ ﯾﮑﺪﯾﮕﺮ ﻧﯿﺰ ﻣﺘﺼﻞ ﺷﺪه و ﺗﺮاﺷﻪﻫﺎ ﺗﺸﮑﯿﻞ ﻣﯽﺷﻮﻧﺪ.
Keywords :
Grinding and chipping phenomena , Tunnel boring machine penetration rate , Tunnel boring machine performance , Numerical modeling , Artificial neural networks
Journal title :
Journal of Mining and Environment
Serial Year :
2021
Record number :
2686015
Link To Document :
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