PROPOSAL OF ALTERNATIVES FOR THE TRANSPORT OF BACKFILL MATERIAL BASED ON THE CAPACITY CALCULATION OF TRUCK TRANSPORT IN MINING CONDITIONS: CASE STUDY

Synchromodal transport incorporates real-time events in a dynamic manner in order to facilitate the most suitable selection of modes, routes and handling points. Up until now, current assessments rely on analytical models. Most of these models average distances for barges and trains via route mapping platforms that provide realistic distances for road only. To reflect on real-world developments more accurately, new thinking and modelling approaches are necessary to bridge academic models with physical transport processes. This paper introduces a computational model which computes movements of agents in geographically referenced space. The model captures stochastic parallel processes for each mode, and simulates decentralized delivery performance of each order in terms of cost, time and emissions at an operational level. Furthermore, we study the routing of individual orders and their responsiveness to disruptions. Computational experiments are performed within a case study which concerns imports of retail goods by unimodal truck transport from France to Belgium. Our findings show that dynamic synchromodal solutions cope with disturbances better, but unnecessary deviations and pro-activeness can also lead to negative effects when compared to static intermodal solutions

Download Full-text

Calculation of Carrying Capacity at High-Speed Railway Stations Based on Route Selection

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.744-746.1786 ◽

2015 ◽

Vol 744-746 ◽

pp. 1786-1791

Author(s):

Qian Rui Zhao ◽

Qi Zhang ◽

Pei Liu

Keyword(s):

Carrying Capacity ◽

High Speed ◽

Operation Time ◽

Route Selection ◽

High Speed Railway ◽

Railway Stations ◽

Selection Scheme ◽

Capacity Calculation ◽

The Relationship

Carrying capacity calculation at high-speed railway stations is closely related to the trains with different types and arriving rules. Traditional method is not feasible to calculate and evaluate carrying capacity at high-speed railway stations efficiently and accurately. Therefore, a method to calculate carrying capacity at high-speed railway stations was presented by establishing a route selection optimization model and designing corresponding algorithm. In the method, the integration concept of calculating carrying capacity was introduced by establishing the relationship between receiving dispatching route and arrival-departure track. An approach was provided to the solution of route selection scheme and calculating carrying capacity at high-speed railway stations efficiently and accurately by considering the differences of trains with different operation modes and operation time. Case study of Jinan West railway station verifies the feasibility of the method. The presented method can provide a technical support for calculating and evaluating carrying capacity at high-speed railway stations in different scenarios.

Download Full-text

Techno-Economic Feasibility of the Longwall Top Coal Caving Method Based on the FTCD Index: A Parametric Case Study in India

Energies ◽

10.3390/en14196115 ◽

2021 ◽

Vol 14 (19) ◽

pp. 6115

Author(s):

Nasina Balasubrahmanyam ◽

Gnananandh Budi

Keyword(s):

Underground Mining ◽

Economic Feasibility ◽

Geotechnical Parameters ◽

Financial Assessment ◽

High Resource ◽

Coal Recovery ◽

Mining Conditions ◽

Coal Grade ◽

Longwall Top Coal Caving

An extraction method for deep-seated thick seam deposits by underground mining with high resource recovery has remained a great challenge for Indian mining engineers, whereas the longwall top coal caving (LTCC) method has evolved as an effective method for various geo mining conditions in China and other counties. The percentage of top coal recovery (TCR) plays a predominant role in determining the feasibility of LTCC, which relies on the First Top Coal Caving Distance (FTCD). In this paper, the critical geotechnical parameters are identified, numerically simulated, and statistically analyzed, and the FTCD for Indian geo-mining conditions is developed and validated. A financial assessment is conducted, considering 70% top coal recovery at 85% performance level, cost of production escalated by 20% and fall in coal grade by two grades. The internal rate of return (IRR) for LTCC is 30.24% as per the sensitivity analysis where it is only 18% in single pass longwall method. This study contributes to evaluating both the technical and economic feasibility of introducing LTCC in Indian geo-mining conditions.

Download Full-text