Flyrock remains a significant risk to the health and safety of the mine’s employees and infrastructure as well as the safety of the neighbouring communities and their property. Losses and damages can result in significant financial and reputation consequences. The lack of fundamental research in recent years and quantifiable data relating to the relationship between blast design parameters and the risk of flyrock motivated this project. A number of authors concluded that major gaps in knowledge relative to flyrock caused by its random nature still remain a weakness in the field. Recent papers published (since 2010) proposed a wide range of potential approaches and techniques to predict or investigate flyrock. However, the majority of these papers concluded that the proposed results were site-specific and could not be applied to other environments. The focus of this project was to develop a concept that is able to quantify the flight path of the flyrock resulting from a blast. The motivation behind the development of this concept was to enable future researchers to quantify the impact of the different blast design parameters on the measured flyrock. Various technologies were considered and investigated during this project. After a comparative analysis of these technologies, it was decided to use photogrammetry as the foundation of the proposed concept tool. The proposed concept consists of three main phases, namely (1) data acquisition, (2) image processing and data analysis and (3) data interpretation. To date, progress has been achieved with phase one and phase two. In phase one, all objectives have been met. However, there are still areas which need refinement, specifically regarding the placement of the cameras in the field. In phase two, success was achieved with the proof of concept exercise in a controlled environment using a clay pigeon as the projectile. The process of calibrating the lenses has been established, however, further optimization is possible. Point-cloud data was successfully generated in the concept test, but converting the image data from subsequent quarry test blasts proved more challenging and is still a work in progress. Once phase two has been satisfactorily resolved, attention will focus on phase three. Results to date have given a positive indication that the concept is viable and that additional work will prove the technology functional. Ultimately, it is envisioned that this tool can be used for one of three purposes, namely: • Mines can generate a database with accurate historical flyrock of their blasting operations. • Research teams can implement this tool to conduct quantitative research and investigations into flyrock and the impact of different blast design parameters on the risk of flyrock. • Point-cloud data combined with ballistics calculations can be used to visualise blasts and flyrock in Virtual Reality for training and education. / Dissertation (MEng)--University of Pretoria, 2019. / AEL Mining Services Chair in Innovative Rock Breaking / Mining Engineering / MEng / Unrestricted

Traumatic brain injury (TBI) is a prevalent condition worldwide with 1.7 million incidences in the U.S. alone. A range of clinical outcomes have been reported post TBI, including dementia, memory loss, and impaired balance and coordination. The lack FDA approved treatments for TBI drives the need for improved prevention and therapeutic strategies. Finite element (FE) models of brain injury mechanics can be used to advance these efforts. These computational models require appropriate constitutive properties in order to predict accurate brain tissue response to injury loading. Suitable experimental models need to be implemented to match the resolution and computational power of FE models. The first aim of this thesis was to characterize the mechanical properties of brain tissue. Here, human, porcine, and rat brain tissue mechanical responses to multistep indentation of increasing strains up to 30% strain were recorded. We tested whether the quasilinear theory of viscoelasticity (QLV) was required to capture the mechanical behavior of brain tissue, but observed that linear viscoelasticity was sufficient under the loading condition applied. Using this fitting model, brain tissue stiffness was found to be dependent on anatomical region, loading direction, age, sex and species to varying degrees. This analysis elucidated factors that affect brain tissue injury mechanics and can be used to improve the accuracy of FE models of brain tissue deformation to predict a biofidelic response to TBI. There is growing evidence linking TBI to pathologies leading to increased risk of neurodegeneration, like tauopathies. However better understanding of these underlying mechanisms is still needed. In our study, we utilized a custom shock tube design to induce blast TBI (bTBI). To isolate the effect of bTBI-induced tau pathology, tau was extracted from sham and shockwave exposed mice 24 hours post injury, referred to as sham and blast tau respectively. We showed that bTBI increased phosphorylation of tau and its propensity to oligomerize. Treatment with blast tau resulted in impaired behavior in mice as well as reduced long term potentiation (LTP) in acute hippocampal slices. Treatment with brain isolate from shockwave exposed tau knockout mice did not exhibit altered behavior or LTP response, eliminating the possibility that any confounding factor in the blast tau preparation was responsible for the impaired outcome. Administration of de-oligomerized blast tau prevented these cognitive impairments, suggesting that toxic effect of blast tau was attributed to its oligomeric form. Here we showed that blast injury can initiate cascades in tau pathology and exposure to this progression results in worsened neurological outcome. Tau phosphorylation is mainly regulated by protein phosphatase 2A (PP2A), whose activity can be altered by leucine carboxyl methyltransferase 1 (LCMT-1) and protein phosphatase methylesterase 1 (PME-1). We sought to leverage this mechanism by infusing LCMT-1 and PME-1 transgenic mice with sham and blast tau. LCMT-1 overexpression prevented behavior and LTP deficits induced by oligomeric blast tau. Furthermore, PME-1 overexpression worsened behavior and LTP response at subthreshold doses of oligomeric blast tau. Together, this illustrated the ability of these two enzymes to regulate the response to exposure of bTBI-induced pathogenic forms of tau. This study indicates the potential of targeting PP2A activity as a viable strategy for therapeutic intervention. In conclusion, this research expands our understanding of the complexity of brain tissue injury mechanics to inform computational models of TBI, illustrates the deleterious effect of pathogenic forms of tau induced by blast injury on cognitive function, and presents a potential target mechanism for the investigation of therapeutic strategies.

Sandvik Coromant in Gimo is in need of a good quality evaluation method of adhesion for PVD layers; since the existing testing method is located in Sandvik Coromant’s other location in Västberga. Different micro-blasting methods were investigated in this thesis and the results show that some of the methods could potentially be used for evaluation of adhesion, more specifically the wet blasting methods, M1 and M2. The results also show that the investigated geometry received varying adhesion quality when lower etching bias in the PVD process was used and when different sides was pointing upwards in the PVD furnace. Further investigation will have to be made in order to fully implement micro-blasting as a testing method in production.

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Silicon-based ceramics and ceramic matrix composites (CMCs), such as silicon carbide (SiC) fiber reinforced SiC, are promising candidates for hot section components in next generation turbine engines. Environmental barrier coatings (EBCs) are essential for implementing these components as they insulate and protect the substrate from reaction with water vapor in the engine environment. EBCs are typically deposited via atmospheric plasma spraying (APS) and preparing the component surfaces through cleaning and roughening prior to coating is a vital step to ensure sufficient coating adhesion. The adhesion of a plasma sprayed coating to the underlying component is one of the most important properties as the component will not be protected if the coating is not well adhered. Surface roughening of metallic components via grit blasting is well documented and understood, but much less is known about preparing ceramic and ceramic composite surfaces for thermal spray coating. Silicon coatings are often used as a bond coating between SiC-based components and EBC top layers, but the adhesion strength of plasma sprayed Si on these substrates, Si splat formation and the factors that affect coating formation and adhesion have not been well studied. The effects of automated grit blasting process parameters on surface roughness and material loss of a reaction bonded SiC (rb SiC) composite were evaluated. Surface roughness before and after grit blasting was evaluated with a confocal laser scanning microscope. The differences and advantages of automated grit blasting compared to manual grit blasting were observed. Most notably was the level of control at high nozzle traverse speeds resulting in reduction of material loss and consistency of roughening. At high nozzle traverse speeds, the amount of material loss decreased greatly with a small effect on induced surface roughness. The degree of grit blasting induced roughness and material loss was found to be largely dependent on the nature of the composite matrix and reinforcement, as well as blast nozzle traverse speed. A statistical model was developed to predict the substrate thickness loss and induced average roughness based on nozzle traverse speed and blast pressure for automated grit blasting. Additionally, laser ablation was used to create controlled, regularly patterned surface texture on rb SiC substrates to further investigate the role of texture parameters in Si coating adhesion. Si was plasma sprayed onto rb SiC substrates to deposit both thick coatings to evaluate adhesion strength and single splats to study splat formation. Surface roughness/texture, substrate preheat temperature and mean Si particle size were varied in plasma spray coating experiments to observe their role in coating adhesion strength. Si adhesion strength was found to be related to all three factors and a statistical model was developed to predict adhesion strength based on them. Substrate preheat temperature had a significant effect on both Si adhesion strength and Si splat formation on rb SiC. Single splat formation during plasma spraying of Si on SiC was simulated with software called SimDrop. Simulations of Si droplet impact, spreading and solidification during plasma spraying on smooth and textured SiC surfaces were used to investigate the effects of relevant process parameters on splat formation. Experimentally observed Si splats on smooth substrates at different temperatures during deposition were matched with simulated splats with the same spraying parameters. A change in thermal contact resistance with changing substrate preheat temperature was confirmed by the simulation results. The role of surface texture parameters for a regularly patterned surface texture in splat formation was demonstrated through simulation. This dissertation investigates methods of roughening and preparing a SiC composite substrate for plasma spray coating, as well as factors which affect the adhesion strength and splat formation of plasma sprayed Si through experiments and simulation. The observations made provide valuable insight for understanding and optimizing the manufacturing processes utilized to deposit strongly adhered coatings onto SiC-based composites. In addition, areas of interest in this field for future study and further investigation are introduced and suggested. / Doctor of Philosophy / Silicon-based ceramics and ceramic matrix composites (CMCs), such as silicon carbide (SiC) fiber reinforced SiC, are promising candidates for hot section components in next generation turbine engines. Environmental barrier coatings (EBCs) are essential for implementing these components as they insulate and protect the substrate from reaction with water vapor in the engine environment. EBCs are typically deposited via atmospheric plasma spraying (APS) and preparing the component surfaces through cleaning and roughening prior to coating is a vital step to ensure sufficient coating adhesion. The adhesion of a plasma sprayed coating to the underlying component is one of the most important properties as the component will not be protected if the coating is not well adhered. Silicon coatings are often used as a bond coating between SiC-based components and EBC top layers, but the adhesion strength of plasma sprayed Si on these substrates, Si splat formation and the factors that affect coating formation and adhesion have not been well studied. This dissertation investigates methods of roughening and preparing a SiC composite substrate for plasma spray coating, as well as factors which affect the adhesion strength and splat formation of plasma sprayed Si through experiments and simulation. The observations made provide valuable insight for understanding and optimizing the manufacturing processes utilized to deposit strongly adhered coatings onto SiC-based composites. In addition, areas of interest in this field for future study and further investigation are introduced and suggested.

Ammonium Nitrate-Fuel Oil (ANFO) is the explosive generally used in the mining industry to blast ore from the rock face. The use and detonation of ANFO explosives in an underground mine is an intrinsically hazardous process. The by-products formed during blasting have been well studied over the years and modern mining techniques and methods have evolved to mitigate the inherent blasting and gas emission risks. However, there is insufficient research and quantitative data on mine workers’ respiratory exposure to blasting gasses under realistic underground conditions. Aim: The objective of this study was to determine whether blasting gasses such as nitric oxide (NO), nitrogen dioxide (NO2) and ammonia (NH3) pose an inhalation health risk to underground mine workers cleaning at the blasting panels approximately three hours after the detonation of ANFO explosives. Scraper Winch Operators’ (SWOs) respiratory exposure to selected blasting gasses was simultaneously sampled by means of active and passive sampling methodologies. Method: Personal exposures to NO, NO2 and NH3 were measured and analysed in accordance with NIOSH methods 6014 and 6015. Along with the active air samplers, respiratory exposure to NO2 and NH3 were measured by means of radial symmetry diffusive samplers (Aquaria® RING). Measurements were taken over an 8-hour period, where this was not applicable; results were time weighed to an average 8-hour exposure concentration in order to compare the Scraper Winch Operators’ (SWOs) respiratory exposure to the Occupational Exposure Limits (OELs) contained in the Regulations of the Mine Health and Safety Act (No. 29 of 1996). Results: The active air sampling results indicated that the SWOs’ respiratory exposure to NO, NO2 and NH3 complied with their respective OELs contained in the Regulations of the Mine Health and Safety Act (No. 29 of 1996). However, one of the SWOs had an exposure which exceeded the action level (50% of OEL) at which level the implementation of control measures are recommended to reduce the SWO’s exposure. Based on the results of the Wilcoxon matched pairs test, statistical significant differences were observed between the exposure results of the two sampling methodologies for NO2 (p = 0.00078) and NH3 (p = 0.044), with the passive diffusive sampling technique under sampling when compared to the active sampling method. This was also confirmed by a Spearman rank order correlation which indicated a poor relationship between the two sampling methods for NO2 (r = -0.323) and NH3 (r = 0.090). Environmental conditions (i.e. temperature and humidity), as presented in an underground mine, may have been a major factor for the variation between the two sampling methods, mostly affecting the passive samplers. Conclusion: It was established that engineering and administrative control measures implemented at the underground mine were effective to control SWOs’ respiratory exposure to NO, NO2 and NH3 below their respective OELs. An acute health risk pertaining the inhalation of blasting gasses was, therefore, not presented to mine workers cleaning at the blasting panels approximately three hours after the detonation of ANFO explosives. However, long-term exposure to blasting gasses at low concentrations may present SWOs with a health risk if such exposures are not adequately controlled or mitigated. The dilution and production of blasting gasses also varied from one blasting level to another. Geological formation, explosive charge-up and loading practices, the amount of water vapour inside the stopes and ventilation parameters are among the factors that may have affected the amount of blasting gasses produced underground. In addition, a drop in the carbon monoxide levels as indicated by the mine’s central gas monitoring system would not necessarily mean a lowering in other blasting gas concentrations (i.e. elevated ammonia gas concentrations as identified in the present study). The personal exposure levels between the active and passive sampling measurements also differed considerably. This may be ascribed to the impact underground mining conditions and processes had on the sampling media as well the complexities involved when sampling blasting gasses in general. / MSc (Occupational Hygiene), North-West University, Potchefstroom Campus, 2014

Ammonium Nitrate-Fuel Oil (ANFO) is the explosive generally used in the mining industry to blast ore from the rock face. The use and detonation of ANFO explosives in an underground mine is an intrinsically hazardous process. The by-products formed during blasting have been well studied over the years and modern mining techniques and methods have evolved to mitigate the inherent blasting and gas emission risks. However, there is insufficient research and quantitative data on mine workers’ respiratory exposure to blasting gasses under realistic underground conditions. Aim: The objective of this study was to determine whether blasting gasses such as nitric oxide (NO), nitrogen dioxide (NO2) and ammonia (NH3) pose an inhalation health risk to underground mine workers cleaning at the blasting panels approximately three hours after the detonation of ANFO explosives. Scraper Winch Operators’ (SWOs) respiratory exposure to selected blasting gasses was simultaneously sampled by means of active and passive sampling methodologies. Method: Personal exposures to NO, NO2 and NH3 were measured and analysed in accordance with NIOSH methods 6014 and 6015. Along with the active air samplers, respiratory exposure to NO2 and NH3 were measured by means of radial symmetry diffusive samplers (Aquaria® RING). Measurements were taken over an 8-hour period, where this was not applicable; results were time weighed to an average 8-hour exposure concentration in order to compare the Scraper Winch Operators’ (SWOs) respiratory exposure to the Occupational Exposure Limits (OELs) contained in the Regulations of the Mine Health and Safety Act (No. 29 of 1996). Results: The active air sampling results indicated that the SWOs’ respiratory exposure to NO, NO2 and NH3 complied with their respective OELs contained in the Regulations of the Mine Health and Safety Act (No. 29 of 1996). However, one of the SWOs had an exposure which exceeded the action level (50% of OEL) at which level the implementation of control measures are recommended to reduce the SWO’s exposure. Based on the results of the Wilcoxon matched pairs test, statistical significant differences were observed between the exposure results of the two sampling methodologies for NO2 (p = 0.00078) and NH3 (p = 0.044), with the passive diffusive sampling technique under sampling when compared to the active sampling method. This was also confirmed by a Spearman rank order correlation which indicated a poor relationship between the two sampling methods for NO2 (r = -0.323) and NH3 (r = 0.090). Environmental conditions (i.e. temperature and humidity), as presented in an underground mine, may have been a major factor for the variation between the two sampling methods, mostly affecting the passive samplers. Conclusion: It was established that engineering and administrative control measures implemented at the underground mine were effective to control SWOs’ respiratory exposure to NO, NO2 and NH3 below their respective OELs. An acute health risk pertaining the inhalation of blasting gasses was, therefore, not presented to mine workers cleaning at the blasting panels approximately three hours after the detonation of ANFO explosives. However, long-term exposure to blasting gasses at low concentrations may present SWOs with a health risk if such exposures are not adequately controlled or mitigated. The dilution and production of blasting gasses also varied from one blasting level to another. Geological formation, explosive charge-up and loading practices, the amount of water vapour inside the stopes and ventilation parameters are among the factors that may have affected the amount of blasting gasses produced underground. In addition, a drop in the carbon monoxide levels as indicated by the mine’s central gas monitoring system would not necessarily mean a lowering in other blasting gas concentrations (i.e. elevated ammonia gas concentrations as identified in the present study). The personal exposure levels between the active and passive sampling measurements also differed considerably. This may be ascribed to the impact underground mining conditions and processes had on the sampling media as well the complexities involved when sampling blasting gasses in general. / MSc (Occupational Hygiene), North-West University, Potchefstroom Campus, 2014

Pour contribuer à la compréhension des processus d'arrachement et de fragmentation de la roche par l'explosif en ciel ouvert, le travail de recherche présenté dans ce mémoire vise à affiner les techniques empiriques de prédiction de fragmentation existantes. Un programme expérimental conséquent réalisé en échelle réelle sur site minier apporte des données ainsi que de nouveaux éléments par rapport à l'existant dans la littérature. En particulier, une comparaison entre résultats de tirs de charge unique et résultats de tirs à plusieurs charges est faite. Dans le contexte roche/explosif du site test, les résultats démontrent que le bénéfice industriel d'une prédiction charge par charge est limité. Une approche numérique a été mise en œuvre en parallèle du travail expérimental ; elle met à contribution un modèle rhéologique d'endommagement développé spécifiquement pour l'étude de laf ragmentation par l'explosif (Rouabhi, 2004). Des calculs 2D avec réduction d'échelle ont été réalisés ; l'utilisation d'un tel modèle d'endommagement s'avère indispensable, et la nécessité de coupler dans le futur les effets des ondes de choc et des gaz d'explosion dans la modélisation est soulignée. On explique par ailleurs de manière originale les résultats d'une étude expérimentale en laboratoire (Miklautsch et al., 2002). En fin de mémoire, plusieurs méthodologies de prédiction charge par charge aisément reproductibles sont testées et ajustées aux résultats du programme expérimental. On finit par montrer que la meilleure méthode offre même davantage de précision lorsqu'elle est appliquée avec les paramètres moyens des tirs et non charge par charge. / To contribute in the understanding of rock breakage and fragmentation processes in open pit blasting, the herein presented research aims at refining existing empirical fragmentation prediction techniques. A comprehensive full-scale experimental program has been conducted in an open pit mine and analyzed. The experiments yield data as well as enlightenments with respect to existing literature on blasting experiments. In particular, single-hole and multiple-hole blasting results are compared. In the test site's rock/explosives context, results demonstrate that industrial benefits from a hole-by-hole prediction are limited. A numerical approach has been developed in parallel to experimental work; it takes advantage of adamage behaviour law specifically designed for fragmentation by explosives (Rouabhi, 2004). 2D calculations with scale reduction are made; the use of such a behaviour law is shown to be essential, and it is outlined that coupling shock wave & explosive gases effects should be sought in future modelling work. Moreover, results observed in a laboratory scale experimental study (Miklautsch, 2002) are explained in an original way. At the end of the thesis, several hole-by-hole prediction methods – which can easily be reproduced –are tested and fitted with results from the full-scale blasting experiments. In the end, it is shown that the most accurate method obtained, when used with mean blast pattern parameters instead of hole-by-hole information, actually provides an even more accurate prediction.