Several aspects of vehicle-pavement interaction have been studied and discussed in this thesis. Initially the pavement response is studied through a quasi-static and a dynamic computationally efficient framework under moving traffic loads. Subsequently, a non-stationary stochastic solution has been developed in order to account for the effect of pavement surface deterioration on pavement service life.The quasi-static procedure is based on a superposition principle and is computationally favourable, as it requires only a reduced incremental problem to be solved numerically. Using the developed framework, the effect of vehicle configuration and traffic characteristics on the damage induced in pavements is investigated numerically. It is shown that the developed numerical model provides a more accurate explanation of different distress modes.In the dynamic approach the pavement roughness and vehicle suspension system are linked to a dynamic pavement model in order to account for the dynamic effects of vehicle-pavement interaction on pavement response. A finite element method is employed in order to establish the response function for a linear viscoelastic pavement structure with dynamic effects taken into account. The developed computational procedure is applied to evaluate the effect of the pavement surface roughness on the pavement structure response to truck traffic loadings.Furthermore, the deterioration trends for the flexible pavement surface have been investigated based on field measurements of longitudinal profiles in Sweden. A predictive function is proposed for surface deterioration that is based on the average gradient of yearly measurements of the road surface profiles in Swedish road network. The developed dynamic framework is further elaborated to a non-stationary stochastic approach. The response of the flexible pavement is given for a non-stationary random case as the pavement surface deteriorates in pavement service life, thus influencing the magnitude of the dynamic loads induced by the vehicles. The effect of pavement surface evolution on the stress state induced in the pavement by moving traffic is examined numerically. Finally the effect of surface deterioration on pavement service life has been investigated and discussed in the thesis by incorporating the proposed prognostic surface deterioration model into a ME design framework. The results are discussed for different case studies with different traffic regimes. It was indicated that the predicted pavement service life decreases considerably when the extra dynamic loads, as a result of pavement surface deterioration, has been taken into account. Furthermore, the effect of performing a predictive rehabilitation process (i.e. resurfacing) has been studied by employing a LCC framework. The application of preventive maintenance was shown to be effective, especially when the deterioration rate is high. / <p>QC 20141119</p>

The phrase “miner” is comparatively non-specific as mining is seen as a multi-disciplinary industry that includes several diverse professions and trades (Donoghue, 2004). One of the functions within mining is the operation of earth moving equipment (EME) such as haul trucks, dozers, excavators and graders. EME are generally used to shift large amounts of earth, dig foundations and landscape areas. In this study whole-body vibration (WBV) and noise exposure of earth moving equipment (EME) operators were assessed, at an opencast coalmine in South Africa. The aim was to evaluate and quantify the levels of exposure in different EME types, as well as to compare old with new EME, in order to estimate if machine hours contribute to higher noise and vibration levels. WBV and noise levels of the Production and Rehabilitation operations were compared, to determine whether different activities led to different exposures. Internationally accepted standardised methods, ISO 2631-1 for WBV and SANS 10083:2012 for noise were followed and correctly calibrated instrumentation was used. WBV measurements were conducted with a tri-axial seat pad accelerometer (SVAN 958) and personal noise dosimeters (Casella 35 X) were used for noise measurements. Measurements were taken over a period of four months. With regards to the European Union (EU) limit (1.15 m/s2) and the EU action limit (0.5 m/s2) it was noted that operators of EME within the Production operation were not exposed to WBV levels above the EU limit, but 77% of these operators were exposed to WBV levels above the EU action limit. It was also evident that 45% of operators’ vibration exposure levels were within the Health Guidance Caution Zone (HGCZ) of 0.45 – 0.90 m/s2. Within the Rehabilitation operation, 9% of operators were exposed to WBV levels above the EU limit and 55% above the EU action limit. Furthermore 50% was within the HGCZ. With regards to the noise Occupational exposure limit (OEL) of 85 dB(A) as stated by the Mine Health and Safety Regulations (MHSR) it was noted that 27% of operators within the Production operation were exposed to noise levels above the limit and for operators within the Rehabilitation operation 14% were reported to be exposed at or above the limit. Statistically significant difference in noise exposure was found between the Production operation and Rehabilitation operation. Results indicated that the majority of EME operators were exposed to high noise levels, in some cases exceeding the 85 dB(A) OEL. A significant positive correlation was found between noise exposure levels and machine hours. Thus higher noise levels were observed as machine operating hours increased. It was found that operators were exposed predominantly to vibration and noise levels below the limits. However the Dozer group within the Production and Rehabilitation operations in some cases exceeded the vibration and noise legal limit. High exposure levels within the Dozer group can be attributed to the fact that these EME types mostly perform activities in uneven areas and the tracks on which these Dozers move also contribute to higher vibration levels due to a lack of a suspension. Controls should be implemented as far as is reasonably practicable to ensure that operators are not exposed above recommended or permissible levels for each hazard. Continuous improvement of the maintenance plan for all EME and regularly grading and maintaining travelling ways are some of the controls that will contribute to lower vibration and noise levels. Operators exposed to high noise levels should use hearing protective devices as an early on preventative measure to reduce noise exposure levels. / MSc (Occupational Hygiene), North-West University, Potchefstroom Campus, 2014

The South African breakfast market consists of several brand products for cereal products, and some of the products are produced locally while others are imported. Cereal products are classified under fast moving consumer goods (FMCG). The majority of the cereal products are easy to serve. The following brands are common in South Africa and have been listed according to their popularity with consumers: Kellogg's Corn Flakes, Kellog's Special K, Jungle Oats, Cheerios and Weet Bix. Kellogg's Corn Flakes are made from maize (corn) and provides guidelines daily amounts (GDA) for each of the nutrients. Branding may consist of building an emotional response or cultural response. As consumers are bombarded with a variety of products to meet the same needs, branding provides a way for consumers to reduce their decision-making to consider only those products that they feel are relevant to them or that have met their needs acceptably in the past. If brand loyalty were a random event, there would be no purpose in making it the object of applied scientific enquiry. Verbal reports are insufficient for defining brand loyalty. Such loyalty requires that statements of bias be accompanied by biased purchasing behaviour. The study was conducted to determine factors that influence the consumers to constantly use a particular brand, and prefer it above other cereal products. A literature and empirical study form part of this study. Questionnaires were used as a measuring instrument to determine which factors the consumer considers important in choosing a particular cereal product. Data analysis was done by means of a factor analysis. A brand loyalty framework developed by Moola was used in classifying the brand loyalty influences. To a large extent the research concluded that brand loyalty in the cereal market is similar to that found in bread, coffee and toothpaste (as per mentioned model). However, some differences with regard to the brand loyalty influences have been found. This study did not determine if these differences are related to cereal as FMCG, or the specific consumer market that was analysed. / Thesis (M.B.A.)--North-West University, Potchefstroom Campus, 2011.

Since the emergence of branding as an approach to marketing, the concept has been received with a great deal of interest and has stimulated ever increasing research in the area. Businesses have realized the importance of retaining existing customers and have begun to identify and apply ways to build long-term relationships with customers. These relationships with customers require an understanding of customer needs, business requirements and the influences that create a long-term relation which is more commonly known as brand loyalty. Several research studies including this one present the results of brand loyalty research in the form of a conceptual framework. From an academic viewpoint, the identification and application of all the relevant influences are essential in the construction of a framework that can guide the promotion of brand loyalty. The aim of this study was to identify the influences that are most important in creating and measuring brand loyalty in the fast moving consumer goods (FMCG) sector. The study builds a conceptual framework using the identified influences and also presents the interrelationships between the influences. The primary theoretical background and concepts in brand loyalty for this study ranged from the history of branding to the results of brand loyalty studies conducted over the past five years. The extensive review of literature and previously tested brand loyalty models resulted in the identification of 12 influences that impact directly on brand loyalty. Reducing the identified set of influences into a manageable set for this thesis involved selecting the most commonly used reliable and valid brand loyalty influences. The empirical study which followed was conducted among a sample of 550 customers who had access to a wide range of FMCG. The empirical study based on the selected 12 brand loyalty influences yielded results that measured the strength of each influence and the interrelationship of influences. The results were analysed by the process of factor analysis, and were presented in the form of a conceptual framework that could be applied in the FMCG segment to measure the strength of brand loyalty influences and determine if the same influences apply to all FMCG. The results of the study confirmed that different influences have different effects on brand loyalty in the FMCG segment. The study revealed that the psychological influences such as brand commitment, brand affect, perceived value and relationship proneness had a far stronger effect on brand loyalty than the brand performance influences such as customer satisfaction or brand performance. Furthermore, the study found an extremely close relationship between influences as far as the specific products were concerned. This study confirmed that FMCG could all be treated as a single entity when evaluating the influences of brand loyalty. The uniqueness and value of the study lies in the evaluation of each brand loyalty influence that is collectively assembled in one framework. The most important contribution of the study is therefore the construction of this conceptual framework through which brand loyalty could be measured and strategically managed. / Thesis (Ph.D. (Business Administration))--North-West University, Potchefstroom Campus, 2011.

The South African breakfast market consists of several brand products for cereal products, and some of the products are produced locally while others are imported. Cereal products are classified under fast moving consumer goods (FMCG). The majority of the cereal products are easy to serve. The following brands are common in South Africa and have been listed according to their popularity with consumers: Kellogg's Corn Flakes, Kellog's Special K, Jungle Oats, Cheerios and Weet Bix. Kellogg's Corn Flakes are made from maize (corn) and provides guidelines daily amounts (GDA) for each of the nutrients. Branding may consist of building an emotional response or cultural response. As consumers are bombarded with a variety of products to meet the same needs, branding provides a way for consumers to reduce their decision-making to consider only those products that they feel are relevant to them or that have met their needs acceptably in the past. If brand loyalty were a random event, there would be no purpose in making it the object of applied scientific enquiry. Verbal reports are insufficient for defining brand loyalty. Such loyalty requires that statements of bias be accompanied by biased purchasing behaviour. The study was conducted to determine factors that influence the consumers to constantly use a particular brand, and prefer it above other cereal products. A literature and empirical study form part of this study. Questionnaires were used as a measuring instrument to determine which factors the consumer considers important in choosing a particular cereal product. Data analysis was done by means of a factor analysis. A brand loyalty framework developed by Moola was used in classifying the brand loyalty influences. To a large extent the research concluded that brand loyalty in the cereal market is similar to that found in bread, coffee and toothpaste (as per mentioned model). However, some differences with regard to the brand loyalty influences have been found. This study did not determine if these differences are related to cereal as FMCG, or the specific consumer market that was analysed. / Thesis (M.B.A.)--North-West University, Potchefstroom Campus, 2011.

Since the emergence of branding as an approach to marketing, the concept has been received with a great deal of interest and has stimulated ever increasing research in the area. Businesses have realized the importance of retaining existing customers and have begun to identify and apply ways to build long-term relationships with customers. These relationships with customers require an understanding of customer needs, business requirements and the influences that create a long-term relation which is more commonly known as brand loyalty. Several research studies including this one present the results of brand loyalty research in the form of a conceptual framework. From an academic viewpoint, the identification and application of all the relevant influences are essential in the construction of a framework that can guide the promotion of brand loyalty. The aim of this study was to identify the influences that are most important in creating and measuring brand loyalty in the fast moving consumer goods (FMCG) sector. The study builds a conceptual framework using the identified influences and also presents the interrelationships between the influences. The primary theoretical background and concepts in brand loyalty for this study ranged from the history of branding to the results of brand loyalty studies conducted over the past five years. The extensive review of literature and previously tested brand loyalty models resulted in the identification of 12 influences that impact directly on brand loyalty. Reducing the identified set of influences into a manageable set for this thesis involved selecting the most commonly used reliable and valid brand loyalty influences. The empirical study which followed was conducted among a sample of 550 customers who had access to a wide range of FMCG. The empirical study based on the selected 12 brand loyalty influences yielded results that measured the strength of each influence and the interrelationship of influences. The results were analysed by the process of factor analysis, and were presented in the form of a conceptual framework that could be applied in the FMCG segment to measure the strength of brand loyalty influences and determine if the same influences apply to all FMCG. The results of the study confirmed that different influences have different effects on brand loyalty in the FMCG segment. The study revealed that the psychological influences such as brand commitment, brand affect, perceived value and relationship proneness had a far stronger effect on brand loyalty than the brand performance influences such as customer satisfaction or brand performance. Furthermore, the study found an extremely close relationship between influences as far as the specific products were concerned. This study confirmed that FMCG could all be treated as a single entity when evaluating the influences of brand loyalty. The uniqueness and value of the study lies in the evaluation of each brand loyalty influence that is collectively assembled in one framework. The most important contribution of the study is therefore the construction of this conceptual framework through which brand loyalty could be measured and strategically managed. / Thesis (Ph.D. (Business Administration))--North-West University, Potchefstroom Campus, 2011.

Economic stringencies have compelled Canadian hospitals to examine their administrative effectiveness critically. Improved supplies and inventory procedures adopted by leading industrial corporations, suggest that hospitals might benefit from such systems. Lack of the profit incentive, and the high ratio of wages to total expenses in hospitals, have delayed adoption of modern inventory management techniques. This study examined the economic status of Canadian hospitals, and endeavoured to discover whether a computer-based inventory management system, incorporating short-term statistical demand forecasting, would be feasible and advantageous. Scientific forecasting for inventory management is not used by hospitals. The writer considered which technique would be most suited to their needs, taking account of benefits claimed by industrial users. Samples of demand data were subjected to a variety of simple forecasting methods, including moving averages, exponentially smoothed averages and the Box-Jenkins method. Comparisons were made in terms of relative size of forecast errors; ease of data maintenance, and demands upon hospital clerical staffs. The computer system: BRUFICH facilitated scrutiny of the effect of each technique upon major components of the system. It is concluded that either of two methods would be appropriate: moving averages and double exponential smoothing. The latter, when combined with adaptive control through tracking signals, is easily incorporated within the total inventory system. It requires only a short run of data, tracks trend satisfactorily, and demands little operator intervention. The original system designed by this writer was adopted by the Hospital for Sick Children, Toronto, and has significantly improved their inventory management.

This thesis presents a 3D reconstruction approach to the detection of static obstacles from a single rear view parking camera. Corner features are tracked to estimate the vehicle’s motion and to perform multiview triangulation in order to reconstruct the scene. We model the camera motion as planar motion and use the knowledge of the camera pose to efficiently solve motion parameters. Based on the observed motion, we selected snapshots from which the scene is reconstructed. These snapshots guarantee a sufficient baseline between the images and result in more robust scene modeling. Multiview triangulation of a feature is performed only if the feature obeys the epipolar constraint. Triangulated features are semantically labelled according to their 3D location. Obstacle features are spatially clustered to reduce false detections. Finally, the distance to the nearest obstacle cluster is reported to the driver.

Finite element solution of solidification process in 2-D Cartesian and axisymmetric geometries is investigated. The use of finite element may result in spurious increase of temperature in the field and the selection of the mushy zone range when used as a numerical tool along with the selection of the mesh size results in large errors in the predicted solidification time. The approach works best for problems where the mushy zone range is finite and the thermal conductivities of both phases are high.

MODELING AND NUMERICAL ANALYSIS OF SINGLE DROPLET DRYING DALMAZ, Nesip M.Sc., Department of Chemical Engineering Supervisor: Prof. Dr. H. &Ouml / nder &Ouml / ZBELGE Co-Supervisor: Asst. Prof. Dr. Yusuf ULUDAg August 2005, 120 pages A new single droplet drying model is developed that can be used as a part of computational modeling of a typical spray drier. It is aimed to describe the drying behavior of a single droplet both in constant and falling rate periods using receding evaporation front approach coupled with the utilization of heat and mass transfer equations. A special attention is addressed to develop two different numerical solution methods, namely the Variable Grid Network (VGN) algorithm for constant rate period and the Variable Time Step (VTS) algorithm for falling rate period, with the requirement of moving boundary analysis. For the assessment of the validity of the model, experimental weight and temperature histories of colloidal silica (SiO2), skimmed milk and sodium sulfate decahydrate (Na2SO4&amp / #8901 / 10H2O) droplets are compared with the model predictions. Further, proper choices of the numerical parameters are sought in order to have successful iteration loops. The model successfully estimated the weight and temperature histories of colloidal silica, dried at air temperatures of 101oC and 178oC, and skimmed milk, dried at air temperatures of 50oC and 90oC, droplets. However, the model failed to predict both the weight and the temperature histories of Na2SO4&amp / #8901 / 10H2O droplets dried at air temperatures of 90oC and 110oC. Using the vapor pressure expression of pure water, which neglects the non-idealities introduced by solid-liquid interactions, in model calculations is addressed to be the main reason of the model resulting poor estimations. However, the developed model gives the flexibility to use a proper vapor pressure expression without much effort for estimation of the drying history of droplets having highly soluble solids with strong solid-liquid interactions. Initial droplet diameters, which were calculated based on the estimations of the critical droplet weights, were predicted in the range of 1.5-2.0 mm, which are in good agreement with the experimental measurements. It is concluded that the study has resulted a new reliable drying model that can be used to predict the drying histories of different materials.