Hasel Amini khoshalan

Education

PhD. in Mining Exploitation , Shahrood University of Technology , Iran (2010 - 2016)
Thesis title: RAM analysis of Earth Pressure Balance Tunnel Boring Machine
MSc. in Mining Exploitation , Tarbiat Modares University , Iran (2007 - 2009)
Thesis title:
BSc. in Mining Exploitation , Urmia University , Iran (2001 - 2005)
Thesis title:

Courses

Bachelor Of Science

ّFluid Mechanics

Ore Reserve Evaluation

Underground Water

Safety, Health and Environment

Mine Design

Field Mine Surveying

Technical services in Mines 2

Technical services in Mines 1

Principles of Mineral Exploitation

Operation Researche

Mine Ventilation

Mine Surveying

Mineral Economics

Master Of Science

ُspecial topics

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Research activities

Journal Papers

Evaluation the Effect of Blast Pattern on Overbreak Area around the Miyaneh-Ardabil Railway Tunnel Sajjad Khalili, Masoud Monjezi, Hasel Amini khoshalan, Amir Saghat Foroush (2024)

Failures Study and Reliability Assessment of Tunnel Boring Machines Using Fault Tree Analysis Method (1402)

Development of new comprehensive relations to assess rock fragmentation by blasting for different open-pit mines using GEP algorithm and MLR procedure Hasan Moumivand, Hasel Amini khoshalan, Jamshid Shakeri, Hassan Vanyousefi (2022)

Reliability Analysis of Full-Face Tunnel Boring Machines with the Monte Carlo Simulation Technique Reza Mikaeil, Hasel Amini khoshalan, Mohammad Hossein Nasrollahi, Akbar Esmaeilzadeh (2022)

Developing new models for flyrock distance assessment in open-pit mines Jamshid Shakeri, Hasel Amini khoshalan, Hesam Dehghani, Marc Bascompta, Kennedy Chibuuzor Onyelowe (2022)

Computational Modeling of Desiccation Properties (CW, LS, and VS) of Waste-Based Activated Ash-Treated Black Cotton Soil for Sustainable Subgrade Using Artificial Neural Network, Gray-Wolf, and Moth-Flame Optimization Techniques Kennedy Chibuuzor Onyelowe, Jamshid Shakeri, Hasel Amini khoshalan, Thompson Usungedo, Mohammadreza Alimoradi-Jazi (2022)

Application of ANFIS hybrids to predict coefficients of curvature and uniformity of treated unsaturated lateritic soil for sustainable earthworks Kennedy Chibuuzor Onyelowe, Jamshid Shakeri, Hasel Amini khoshalan, Bunyamin Salahudeen, Emmanuel Arinze, Hyginus Ugwu (2021)

Forecasting copper price by application of robust artificial intelligence techniques Hasel Amini khoshalan, Jamshid Shakeri, Iraj Najmoddini, Mostafa Asadizadeh (2021)

Consolidation Grouting Quality Assessment using Artificial Neural Network (ANN) Jamal zadhesh, Foad Rastegar, Faraydoun Sharifi, Hasel Amini khoshalan, Hossein Mirzaei Nasirabad (2015)

RAM analysis of earth pressure balance tunnel boring machines: A case study Hasel Amini khoshalan, Seyed Rahman Torabi, Seyed Hadi Hoseinie, Behzad Ghodrati (2014)

Application of artificial intelligence techniques for predicting the flyrock distance caused by blasting operation Ebrahim Ghasemi, Hasel Amini khoshalan, Mohammad Ataei, Reza Khalokakaei (2014)

Predict ion of flyrock and backbreak in open pit blasting operation : a neuro-geneti c approach Masoud Monjezi, Hasel Amini khoshalan, Ali Yazdian Varjani (2012)

A Neuro-Genetic Network for Predicting Uniaxial Compressive Strength of Rocks Masoud Monjezi, Hasel Amini khoshalan, Mehdi Razifard (2012)

Evaluation of flyrock phenomenon due to blasting operation by Support Vector Machine Hasel Amini khoshalan, Raof Gholami, Masoud Monjezi, Seyed Rahman Torabi, Jamal zadhesh (2011)

Optimization of Open-pit Blast Parameters using Genetic Algorithm Masoud Monjezi, Hasel Amini khoshalan, Ali Yazdian Varjani (2011)

Conference Papers

Today, the use of mechanized tunnel boring machines is incising. The successful application of these machines requires the accurate design of the project with regard to the condition of the tunnel, operators, skilled supporting staff, experienced maintenance group and an efficient supervision. Reliability analysis can predict the failure rate and estimate the reliability of a system. In this study, to assess the performance of the earth pressure balance tunnel boring machine operating in Line 1 of the Tabriz Metro was considered. By examining the overall structure of the machine, five subsystems were identified: the mechanical subsystem, electrical subsystem, hydraulic subsystem, compressed air subsystem, and water subsystem. Data from approximately 26 months of operational downtime due to failures were utilized. Statistical analyses indicated that the failure data for all subsystems follow classic statistical distribution functions. Consequently, by deriving the parameters of failure density distribution of the functions, the reliability of each subsystem was determined. The results showed that the mechanical subsystem has the minimum reliability value. Based on the findings, the reliability of the studied machine reaches zero after approximately 60 hours of tunnel boring operations. Therefore, to improve performance and reduce unexpected downtimes of the boring machine, a preventive maintenance program for the tunnel boring machine on Line 1 of the Tabriz Metro is proposed. (1403)

Assessment of rock fragmentation due to blasting operation in open pit mining Hasel Amini khoshalan (2022)

Appropriate Selection of Tunnel Support System using the PROMETHEE Multi-Criteria Decision-Making Reza Mikaeil, Akbar Esmaeilzadeh, Amir Jafarpour, Hasel Amini khoshalan (2022)

GUIDELINES FOR RAM ANALYSIS OF EPB TUNNEL BORING MACHINE Hasel Amini khoshalan, Seyed Rahman Torabi, Seyed Hadi Hoseinie, Behzad Ghodrati (2014)

Speech

Mechanized Tunneling: Innovations and Technology Hasel Amini khoshalan (2023)

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Research interests

Mechanized Tunneling
Mining Economics
Mining Exploitation
Reliability analysis of Mining and Tunneling equipment

Head of Mining Engineering Department (1401 - present)
Mining supervisor (1389 - 1397)

Scientific Societies Membership

Links