Search Documents

By P. Hornby, S. Henley

INTRODUCTION The project described in this paper is designed to provide a standard and flexible method by which data can be exchanged among different systems and packages in common use for geo- logical modelling and mine planning, with substantial savings in ad hoc programming which is expensive and produces interface software that is difficult to maintain. Such packages include specialised applications such as Vulcan, Surpac, Datamine, and Gemcom software, and the Whittle pit optimisation programs, and more general products such as AutoCad, Microstation, and Maplnfo, and database management systems through a generic SQL interface. The data translator is built around the CSIRO Data Model and GeoEditor, and will make widely available the benefits of the Data Model by adding functionality to its implementation in an industry- standard language and style, with interfaces to important geological and mining software products used by the industry, while including also the visualisation and editing capabilities of the GeoEditor which provides the functional framework within which the Data Translator is developed. The Data Translator is intelligent in the sense that it is not a black-box solution but allows visualisation and validation of data during transfer; furthermore it provides a means for changing abstraction levels during the transfer operation. There have been few similar efforts to address this problem. It is not a problem which is likely to be solved in any general or long- term way by any individual commercial software vendor. THE CSIRO DATA MODEL A wide variety of software tools have entered the exploration and mining industries via different pathways. Examination of these pathways and the origins of the software illuminates the types of data transfer problems and difficulties which might occur in the day to day life of exploration and mining operations. In exploration, the focus is normally on a large area (>5000km2) which is explored primarily in two dimensions. For 20 exploration purposes, geographical information systems (GIs) software, image processing software, and, in some cases, 20 computer aided design (CAD) software have been employed. Typically, GIs soft- ware is used the most by lands and tenements personnel and government geological survey organisations, image processing software is used the most by geophysicists, and 20 CAD software is used the most by drafting and geology personnel. In contrast, within the mining environment, almost all activities have 3D character. In this realm, 3D CAD software and specialised mine planning and design software are important. Specialised mine planning and design software is similar to 30 CAD software, but typically has additional capabilities such as specialised modules for surveying, drill hole data operations, open pit design and optimisation, underground mine design, mining block model creation, and/or ore reserve calculations. Unfortunately, the different origins of the software in exploration and mining lead directly to problems in data exchange and the design of seamless software systems. These problems result from the different data management strategies employed by the different classes of software. In order to address these problems, CSIRO Exploration and Mining and CSIRO Division of Information Technology have been investigating the structure, character, and syntax of data and soft- ware present in computer-aided exploration and mining activities since early 1993. The goal of this effort is to 1) systematically ex- amine the breadth and depth of the data in use within exploration and mining, and to 2) promote a data organisation strategy which is broad enough and comprehensive enough to enable wiser soft- ware design and easier data transfer. In the short term a data model can be used to improve data transfer; in the longer term it is hoped that a data model framework will help object-oriented concepts to enter the next generation of geoscientific software. The data model is described in more detail by Power et al., 1995. THE DATA TRANSLATOR PROJECT The CSIRO Data Model provides a basis for a very wide range of applications in geology and mining. It has been developed over the past two years by a joint team from the Division of Exploration and Mining and the Division of Information Technology, and its principal purpose is to provide a comprehensive and self consistent model of the geometric and topological properties of geological and mining data. The project is being carried out by CSIRO with the support of Australian mining companies through AMIRA (the Australian Mining Industries Research Association). Eight companies are sup- porting the project : • North Ltd Minenco • MIM Exploration • Fractal Graphics • BHP Australia Coal • Pacific Coal • Gencor CRA Exploration The systems to be interfaced have been decided by comparing the priorities of the various sponsors, to produce a final combined priority list as follows : • Vulcan • Minescape • Micromine • Mapinfo INTRODUCTION The project described in this paper is designed to provide a standard and flexible method by which data can be exchanged among different systems and packages in common use for geo- logical modelling and mine planning, with substantial savings in ad hoc programming which is expensive and produces interface software that is difficult to maintain. Such packages include specialised applications such as Vulcan, Surpac, Datamine, and Gemcom software, and the Whittle pit optimisation programs, and more general products such as AutoCad, Microstation, and Maplnfo, and database management systems through a generic SQL interface. The data translator is built around the CSIRO Data Model and GeoEditor, and will make widely available the benefits of the Data Model by adding functionality to its implementation in an industry- standard language and style, with interfaces to important geological and mining software products used by the industry, while including also the visualisation and editing capabilities of the GeoEditor which provides the functional framework within which the Data Translator is developed. The Data Translator is intelligent in the sense that it is not a black-box solution but allows visualisation and validation of data during transfer; furthermore it provides a means for changing abstraction levels during the transfer operation. There have been few similar efforts to address this problem. It is not a problem which is likely to be solved in any general or long- term way by any individual commercial software vendor. THE CSIRO DATA MODEL A wide variety of software tools have entered the exploration and mining industries via different pathways. Examination of these pathways and the origins of the software illuminates the types of data transfer problems and difficulties which might occur in the day to day life of exploration and mining operations. In exploration, the focus is normally on a large area (>5000km2) which is explored primarily in two dimensions. For 20 exploration purposes, geographical information systems (GIs) software, image processing software, and, in some cases, 20 computer aided design (CAD) software have been employed. Typically, GIs soft- ware is used the most by lands and tenements personnel and government geological survey organisations, image processing software is used the most by geophysicists, and 20 CAD software is used the most by drafting and geology personnel. In contrast, within the mining environment, almost all activities have 3D character. In this realm, 3D CAD software and specialised mine planning and design software are important. Specialised mine planning and design software is similar to 30 CAD software, but typically has additional capabilities such as specialised modules for surveying, drill hole data operations, open pit design and optimisation, underground mine design, mining block model creation, and/or ore reserve calculations. Unfortunately, the different origins of the software in exploration and mining lead directly to problems in data exchange and the design of seamless software systems. These problems result from the different data management strategies employed by the different classes of software. In order to address these problems, CSIRO Exploration and Mining and CSIRO Division of Information Technology have been investigating the structure, character, and syntax of data and soft- ware present in computer-aided exploration and mining activities since early 1993. The goal of this effort is to 1) systematically ex- amine the breadth and depth of the data in use within exploration and mining, and to 2) promote a data organisation strategy which is broad enough and comprehensive enough to enable wiser soft- ware design and easier data transfer. In the short term a data model can be used to improve data transfer; in the longer term it is hoped that a data model framework will help object-oriented concepts to enter the next generation of geoscientific software. The data model is described in more detail by Power et al., 1995. THE DATA TRANSLATOR PROJECT The CSIRO Data Model provides a basis for a very wide range of applications in geology and mining. It has been developed over the past two years by a joint team from the Division of Exploration and Mining and the Division of Information Technology, and its principal purpose is to provide a comprehensive and self consistent model of the geometric and topological properties of geological and mining data. The project is being carried out by CSIRO with the support of Australian mining companies through AMIRA (the Australian Mining Industries Research Association). Eight companies are sup- porting the project : • North Ltd Minenco • MIM Exploration • Fractal Graphics • BHP Australia Coal • Pacific Coal • Gencor CRA Exploration The systems to be interfaced have been decided by comparing the priorities of the various sponsors, to produce a final combined priority list as follows : • Vulcan • Minescape • Micromine • Mapinfo • Medsystem

Jan 1, 1996

By Arman Hazrathosseini, Ali Moradi Afrapoli

Fleet management systems (FMSs), as a pivotal part of any surface mining operation, need to evolve from conventional to intelligent systems because of both Mining 4.0 requirements and some shortcomings inherent in conventional methods. However, this novel transformation needs to be investigated technically and strategically. To this end, previously published research works on intelligent FMSs are explored to track the latest status of these third-generation frameworks within the surface mining context. Their underlying models are then compared in terms of five categories of allocation and dispatching features to pinpoint the technical gaps ignored. Having drawn the future lines of research, the present work then leverages the popular SWOT analysis method to outline the strengths, weaknesses, opportunities, and threats associated with the advent of these intelligent FMSs in mines of future. By and large, the analysis indicates that advantages outweigh disadvantages. Solutions are offered to address the existing weaknesses and threats.

Apr 1, 2024

By Arman Hazrathosseini, Ali Moradi Afrapoli

Fleet management systems (FMSs) as the pivotal part of any surface mining operation find it essential to evolve from conventional into intelligent systems because of both Mining 4.0 requirements and some shortcomings inherent in conventional methods. However, this novel transformation needs to be investigated technically and strategically. To this end, the previously published research works on intelligent FMSs are explored to track the latest status of these third generation frameworks within the surface mining context. Following that, their underlying models are compared in terms of five categories of allocation and dispatching features to pinpoint the technical gaps ignored. Having drawn the future lines of research, the present article then leverages the popular SWOT analysis method to outline the strengths, weaknesses, opportunities, and threats associated with the advent of these intelligent FMSs in mines of future. By and large, the analysis indicates that advantages outweigh disadvantages. Solutions are offered to address the existing weaknesses and threats.

Nov 10, 2023

By K. C. Tran

This paper reviews the advancement of measurement technologies for the control of raw materials processes in the basic industries. The combination of digital technology and on line spectroscopy enables the development of intelligent instruments for composition and particle size analyses in real- time high- frequency control conditions. In many industries, the applications result in productivity improvement and energy savings. Plant specific examples include operating experience and benefits realized in sorting, blending and beneficiation processes. Instruments of the future not only measure specific parameters of the process and monitor its own health combined with self-corrective mechanics but also acts with intelligence to effect the quality of the process or regulate the primary apparatus.

Jan 1, 2001

By Jukka Pukkila, Pekka Särkkä

Intensive co-operation between mining industry and mining machine manufacturers during an eight year program Intelligent Mine™ led to a new concept for applying automation technology in mining to improve the productivity and safety of mines. 'The results of the program are now implemented in several mines in Finland and with similar ideas as well elsewhere in the world. The degree of optimal automation of an intelligent mine depends on several technical and economical factors. The basic precondition for the approach is a clear improvement in total economy of the mine.

Jan 1, 2002

By D. Parks, A. Miller, M. McNinch, R. Jacksha, H. Nickerson

Each year hundreds of mine workers are involved in machinery-related accidents. Many of these accidents involve inadequate or improper use of lockout/tagout (LOTO) procedures. To mitigate the occurrence of these accidents, new safety methods are needed to monitor access to hazardous areas around operating machinery, improve documentation/monitoring of maintenance that requires shutdown of the machinery, and prevent unexpected startup or movement during machine maintenance activities. The National Institute for Occupational Safety and Health (NIOSH) is currently researching the application of Internet of Things (IoT) technologies to provide intelligent machine monitoring as part of a comprehensive LOTO program. This paper introduces NIOSH’s implementation of an IoT-based intelligent machine monitoring system to improve safety during operation and maintenance at a concrete batch plant. INTRODUCTION Of the hundreds of machinery-related accidents occurring every year in the mining industry, incidents involving stationary machinery at surface mines continue to be amongst the most frequent [1]. A National Institute for Occupational Safety and Health (NIOSH) study showed that the majority of fatal accidents involving stationary machinery at surface mines occurred at sand and gravel (38%) and stone (26%) operations. Of these accidents, entanglement in conveyor components were the most common cause of fatal accidents (48%) [2]. The same study stated that one-third of these accidents involved improper lockout/tagout (LOTO) procedures as a contributing factor. The U.S. Mine Safety and Health Administration (MSHA) acknowledged this problem, stating in a recent request for information (RFI) [3]: “Since 2007, there have been 17 fatalities related to working near or around belt conveyors, of which 76 percent were related to miners becoming entangled in belt drives, belt rollers, and discharge points. Factors that contribute to entanglement hazards include inadequate or missing guards, inadequate or an insufficient number of crossovers in strategic locations, and/or inappropriate lock out/tag out procedures. Systems that can sense a miner's presence in hazardous locations; ensure that machine guards are properly secured in place; and/or ensure machines are properly locked out and tagged out during maintenance would reduce fatalities [3].” In response to this problem, NIOSH’s Spokane Mining Research Division (SMRD) is exploring the potential application of Internet of Things (IoT) technologies to provide cost-effective intelligent machine monitoring systems for improved worker safety [4, 5]. SMRD partnered with Central Pre-mix CRH Company (Central Pre-mix) to develop and install a proof-of-concept wireless IoT solution to monitor machinery and conveyors during operation and maintenance. The primary goals of the system were to provide real-time monitoring of access points and facilitate the planning and execution of LOTO procedures

Jan 1, 2019

By Satyam Tiwari, Sarat Kumar Das

Tailings from mines and industries impose danger to the environment as evidenced by the recent failures of tailing storage dams. The tailings are mostly non-plastic with silt-size particles, but their behavior is largely dependent on the extreme void ratios of the material. Hence, the critical state provides an appropriate perspective in explaining the behavior of these geomaterials. Based on a comprehensive dataset of non-plastic tailings and non-plastic soils, an attempt has been made here to correlate critical state parameters to extreme void ratios and stress parameters. A hybrid algorithm with multi-objective feature selection (MOFS) and extreme learning machine (ELM) was used to establish the correlation and to identify the most influential input parameters. Based on the information from the proposed hybrid algorithm, a comprehensive prediction model is proposed using multi-gene genetic programming (MGGP) algorithm to facilitate quick estimation of critical state parameters. The performance of both models has been assessed using several performance metrics. The results from the study indicate that hybrid MOFS algorithms perform very well in the prediction of critical state line parameters and the identification of influential features. The findings of the study have significant implications for future research on the safe management of tailing storage facilities.

Dec 22, 2023

By J. Creamer

Pumping plays a major role across multiple process and facility applications in the mining world. Examples include: raw water supply, leach solutions, chemicals, dewatering, and mine drainage, and process water for metal recovery. Mining operations such as grinding, classifying, separating and concentrating minerals all have pumps at the heart of the operations Special purpose pumps such as dewatering, process water and slurry pumps are at the heart of many of these processes. Unfortunately the pumps themselves are often overlooked in terms of energy savings potential as they are often embedded into these sophisticated processes which are the ultimate operational focus.

Feb 23, 2014

By Paul J. A. Lever, Robert H. King

Human operators, geological conditions, equipment changes, mining sequences, and roof conditions are some of the continually changing operating conditions that drive a dynamic mining environment. These dynamic characteristics make it difficult to automatically analyze mining data because attributes change as the mining environment changes. Mine monitoring systems could provide mine managers with much more useful information than they do presently, if automatic analysis were possible. Automatic analysis of sensor data is also key to autonomous mining systems. This paper describes artificial intelligence (AI) and sensor fusion based sensor data analysis techniques developed over the past four years. These techniques were used to classify machine operating events by continuously monitoring machine power usage in a continuous miner section at an under- ground coal mine. The result is a report similar to an industrial engineering time study. First, numerical pattern classification techniques broadly identify operating events. However, domain knowledge about inter-machine and intra-machine interactions is necessary to identify and refine dynamic event boundaries. By implementing AI and sensor fusion based techniques we are able to classify machine events more accurately and recognize more specific events. These techniques could easily be applied to many different mining sensor data applications

Jan 1, 1993

By E. Fahrenkrog

An intelligent supervisor developed using expert system tools and applied to a crushing plant is presented in this paper. The structure of this supervisor, based on a model of a human operator, consists of a Knowledge base containing a qualitative model of the process, and a Rules base with the heuristic logic used by an operator when supervising a plant. The simulation results obtained show the potential of this type of systems to supervise the automatic operation of a plant.

Jan 1, 1989

By H. Hejny

"The mine of the future will exploit mineral raw materials at greater depths than today, requiring completely different approaches compared to today’s deep mines, in order to get mineral rights. Only these eco-efficient mines will contribute to improved access to domestic mineral resources, secure the sustainable supply of mineral raw materials for Europe and reduce the import dependency. IntelliMine will contribute to realise these concepts of invisible, zero-impact and safe mines. The mine of tomorrow will run an integrated concept in order to guarantee the desired level of sustainability. All operations necessary for the eco-efficient provision of the minerals including waste management will be carried out underground. This will drastically reduce the volumes being transported, minimising above ground installations and thus the environmental impact. IntelliMine will develop necessary innovative methods, technologies, machines and equipment for the safe, eco-innovative, intelligent and economic exploitation of mineral raw materials in the EU, especially at greater depths."

Jan 1, 2011

By J. C. Stankus

How to quantitatively identify the loads on a square/arch set is a complicated issue in designing the square/arch set in an intersection/entry. From an engineering perspective, understanding the nature and support mechanism of standing support such as a square/arch set can not only help design the support structure to maintain the roof stability, but save the steel materials and costs of manufacturing, labor, and delivery. Based on the design practices in recent years and successful applications in slope bottom intersections, the authors are confident that the concept of interaction and confinement effect between the steel square/arch set and surrounding rocks is critical in designing a proper steel structure to support an intersection/entry. This paper will detail the design concept and its applications in several underground slope bottom intersection designs, reaching the goals of improving roof stability and reducing costs.

Feb 23, 2014

By P. Semberg, B. Bjorkman, C. Andersson

"In this study, the interaction between magnetite and the additive olivine was studied after oxidation as well as after isothermal reduction at temperatures in the 500º-1,300º C range. In the olivine sample, the forsteritic olivine particles react partly during the oxidation pretreatment to form magnesioferrite and vitreous silica along the particle corona. This breakdown of the olivine particles during oxidation liberates magnesium from the particles, which do not react until temperatures of above 1,150° C in reducing atmosphere. When the hematite in the sample is reduced, and when the temperature is high enough to allow solid-state diffusion at ~800º C, the magnesium of the magnesioferrite redistributes, so that the magnesium concentration approaches the same level throughout the iron oxide structure. For magnetite, this did not occur until 800° C. At 1,000° C, this magnesium reacts further with the silica in the glassy slag phase, which crystallizes into fayalitic olivine. At this temperature, the magnesium has diffused over distances of more than 600 µm from large olivine particles after 2 hrs reduction. From this point, the primary slag phase in the pellet, until melting, is solid fayalite. Upon reduction to metal, the metallization front concentrates the MgO in the remaining wustite, which can lead to MgO levels of up to 10 mole% locally. The melting point of the fayalite is raised from 1,145º C to a melting range of 1,238-1,264º C due to the MgO increase, as estimated based on phase diagrams, which were adapted to the pellets tested. Much of the olivine that remained unaltered in the oxidation process will be encapsulated by iron before the particles begin to dissolve in reducing conditions and, therefore, plays no role in the reduction before final melting of the particles occurs.IntroductionEnvironmental concerns have placed increasing pressure on the CO2-intensive iron and steel industries to further optimize operation toward higher productivity and more efficient use of reducing agents. At the same time, high demand for iron ore has caused new iron ores with lower grades and more complex chemistries to be taken into production. In Scandinavia, the main iron-bearing material is magnetite-based pellets with olivine, which allow operation with very low slag volumes and, hence, lower fuel rate ( Slagnes and Sundqvist Ökvist, 2008; Hallin et al., 1994). Both the MgO and SiO2 of the olivine, as well as the elements of the gangue of the ore, i.e., Si, Mg, Ca, Al and alkali, interact with the iron oxides to give the finished pellet product its final properties in the blast furnace. Tailoring the additive mix to be used for a certain iron ore for optimal product properties, therefore, requires detailed knowledge of the mechanisms by which these elements dissolve and react in the pellet."

Jan 1, 2015

By H. Polat

Relatively large amounts of such hydrocarbons as fuel oils are often needed in flotation of low rank coals. The amount of oil can be decreased considerably by using surfactants as promotors. The reagents which are good candidates as surfactants to promote hydrophobicity can also act as emulsifying and wetting agents. Since the physical and chemical variables influence various sub-processes in different ways, their influence on the performance parameters is complex. The results of laboratory tests are presented to show that the dual role of reagents can be judiciously exploited to increase both the recovery and grade of clean coal. The mode and order of reagent addition is critical in enhancing their efficacy as flotation promotors. The results demonstrate the benefits of proper conditioning of the pulp prior to flotation.

Jan 1, 1997

By H. Polat, S. Chander

Relatively large amounts of hydrocarbons such as fuel oils are often needed in the flotation of low rank coals. The amount of oil can be decreased considerably by using surfactants as promoters. The reagents that are good candidates as surfactants to promote hydrophobicity can also act as emulsifying and wetting agents. Because the physical and chemical variables influence various subprocesses in different ways, their influence on the performance parameters is complex. The results of laboratory tests are presented to show that the dual role of reagents can be judiciously exploited to increase both the recovery and grade of the clean coal. The mode and order of reagent addition is critical in enhancing their efficacy as flotation promoters. The results demonstrate the benefits of proper conditioning of the pulp prior to flotation.

Jan 1, 1999

By John C. Brower

The purpose of this paper is to examine the Gays in which- the policies of the U.S. government, mining companies and third world countries affect each other with regard to the availability of minerals. The interaction involves U.S. policy towards the mining industry, the policies of the companies themselves, and the policies of third world countries towards the U.S. and multinational companies. It is assumed in this discussion that U.S. policy will continue to be to seek certain minerals from abroad rather than attempt to develop domestic sources for all its requirements. This would seem to make sense both from the standpoint of cost, and for preserving what domestic resources there are so as to maintain some degree of market leverage. In today's jargon, this means greater dependency on the "third world", which, for this discussion, includes virtually all the nations in Africa, South America and Asia. Concern for availability raises the important distinction between dependency and vulnerability, and as the Director of the Bureau of Mines has pointed out, the two are not the same. Dependency is not neccessarily a bad thing; it is vulnerability that counts (Norman, 1980)

Jan 1, 1982

By D. Denton, C. Peppin, D. Tesarik, D. Bayer, J. B. Seymour

Hecla Mining Company and NIOSH cooperated in a study to document the safety of rock support supplied by reinforced cemented paste backfill at the Lucky Friday Mine. Data are presented on backfill modulus values from laboratory tests and compared with modulus values from in-mine wall closure on the backfill. It is theorized that a compressive zone is created in the backfill between the upper and lower bearing plates on the reinforcing bolts, and that the backfill remains stable as long as the compressive zones from adjacent bolts overlap.

Jan 1, 2001

By S. Veeramasuneni

The interaction of soluble salt particles in their saturated brines is of interest from both a fundamental and practical perspective. The state of dispersion/aggregation of alkali halide particles as determined by optical microscopy can now be described based on non-equilibrium electrokinetic measurements for alkali halides. These results indicate that the sign of the surface charge has a significant effect on the extent of particle dispersion/aggregation. Atomic force microscopy (AFM) is now being used to directly measure the interaction forces responsible for the stability of these alkali halide aggregates observed in optical microscopy studies. These experimental results can be explained based on the interfacial polar interaction theory. In this regard the nature of such particle interaction forces at high ionic strengths are examined to improve our understanding of these systems.

Jan 1, 1997

By V. K. Paruchuri, J. D. Miller, J. Nalaskowski

An understanding of forces responsible for the stability of dispersions of colloidal particles when interacting with each other in aqueous solutions is of great interest academically and industrially. When water-soluble polymers are adsorbed onto colloidal particles, various effects on the stability of their suspensions can be expected ranging from steric stabilization to bridging flocculation. The possibility of detailed characterization of such systems using direct measurements of interaction forces between particles can help in further improvement of existing technologies of solid-liquid separation. An atomic force microscope (AFM) colloidal probe was used to measure the interaction forces between a silica sphere and a silica substrate in the presence of water-soluble polymers. Poly(ethlene oxide) (PEO) with three different molecular weights (7,000, 43,000, and 63,000), each with a very narrow molecular weight distribution, were used in this study. The interaction forces measured with the AFM over an extended time scale are discussed in terms of the adsorption kinetics measured through in-situ FTIR/IRS measurements.

Jan 1, 2003

By G. Meschke

"This paper reports on computational and experimental research, performed at the Collaborative Research Center “Interaction Models for Mechanized Tunneling” at Ruhr-University Bochum, Germany. Research covers a broad spectrum of topics relevant for mechanized tunneling in soft soil conditions. This includes advances exploration methods and models for the characterization of the in-situ ground conditions, the interaction of the face support and the tail gap grouting with the porous soil, multi-scale models for the design of fiber reinforced segmental linings with enhanced robustness, computational methods for the numerical simulation of the tunnel advancement, the soil excavation and the material transport in the pressure chamber, logistics processes and risk analysis in urban tunneling.INTRODUCTIONMechanized Tunneling has proven itself as an economical and flexible construction method that continues to undergo a dynamic evolution process. Shield diameters continue to increase, and the application range of tunnel boring machines is being extended to an ever-increasing variety of geotechnical conditions. In order to maintain economic viability and to ensure an environmentally friendly construction process, realistic and reliable numerical models are required in order to make informed decisions during planning and construction. To provide a reliable numerical prognosis, it is necessary to accurately assess and understand the interactions between the components involved in mechanized tunneling with the surrounding site, the ground, and any pre-existing structures. Heterogeneous geological conditions and often only approximated ground parameters create, in contrast to other engineering projects, special demands. This necessitates new insights to new problems that can only be effectively solved through truly interdisciplinary research. To address these challenges, the German Research Foundation (DFG) has established the Collaborative Research Center “Interaction Models for Mechanized Tunneling” (SFB 837) at the Ruhr-University in Bochum in 2010. Collaborative Research Centers are interdisciplinary scientific research groups in which cooperative research is conducted under the umbrella of a central research theme. With a research budget of ca. 10 Million Euros for the second 4-year funding period, and a research team composed of 13 project leaders along with approximately 35 scientific assistants the SFB 837 is currently one of the largest research groups conducting fundamental research in tunneling related topics worldwide.RESEARCH TOPICSThe research topics of the SFB 837 encompass a number of relevant planning and construction related aspects in mechanized tunneling (Figure 1). These research themes are each supported by computational models and laboratory investigations and are all included in an SFB overarching Tunnel Information Model (TIM). Interaction groups integrate and combine the results of different submodels through prototypical cause-and-effect relationships, and through the analysis of the Wehrhahn metro line (WHL) project in Düsseldorf, which has been adopted as the reference project for the SFB 837."

Jan 1, 2016