The primary objective of this research was to quantify the improvement in service life of a flexible pavement constructed using full-depth reclamation (FDR) in conjunction with cement stabilization when specified reductions in the spatial variability of specific construction-related parameters are achieved. This study analyzed pavement data obtained through field and laboratory testing of a reconstruction project in northern Utah. Data analyses included multivariate regression, Monte Carlo simulation, and mechanistic-empirical analyses of a model pavement structure. The results of the research show a steadily increasing trend in 28-day unconfined compressive strength of the cement-treated base (CTB) layer with increasing reductions in variability for cement content, moisture content, and reclaimed asphalt pavement (RAP) content across each of five different reliability levels. The most significant increases in CTB strength occurred with reductions in the standard deviations of moisture content and RAP content. Decreasing the variability of cement content did not provide significant additional strength to the CTB layer. Therefore, when involved on FDR projects, members of the pavement industry should focus energy on reducing the variability of both moisture content and RAP content, which both significantly impact pavement life, to achieve high-quality, long-lasting pavements.

The first objective of this research was to investigate temporal trends in the mechanical properties of base materials stabilized with asphalt emulsion and to assess the rate at which emulsion-treated base (ETB) design properties are achieved. The second objective of this research was to identify construction and environmental factors most correlated to specific mechanical properties of ETB layers and to determine which construction factors exhibit the greatest variability. Additional statistical analysis was performed to determine if significant differences existed between different test sections on a given project. In this research, three experimental sections were established along a pavement reconstruction project near Saratoga Springs, Utah. Field tests were performed to assess the structural properties of the ETB immediately following construction and at 2, 3, 7, and 14 days; 4 months; and 1 year. Measured values were plotted against time to determine trends in ETB strength development. Several statistical analyses were then performed on the collected data. Modulus values were consistently low in all three sections during the first two weeks of testing, increased dramatically by 4 months, and then decreased considerably by 1 year. During the first two weeks following construction, the average ETB structural coefficient was 0.04. Only two of the three sections reached the design structural coefficient of 0.25, which occurred after approximately 3 months; however, the average structural coefficient measured for all three sections after 1 year of curing, which included a winter, was only 47 percent of the design strength. The results of this research show that, while pavement capacity is sufficient at 4 months, it is severely reduced during the first two weeks and at 1 year. Trafficking under these reduced capacities is not recommended. Statistical analysis showed that gradation, binder change during emulsion treatment, and moisture content have the most significant impact on ETB structural properties. Gradation and binder change during emulsion treatment also exhibited significant variability; tighter specifications on material gradations and improved uniformity in emulsion distribution should therefore be considered. Because of the negative impacts of moisture on ETB strength development, construction should not be performed in conditions of excess moisture.

Thesis (M.Sc. (Soil Science)) -- University of Limpopo, 2022 / In South Africa, land use planning has received limited attention in areas perceived as suitable for agricultural production. In the lack of reliable soil type and fertility status information, crop yields remain lower than the land’s potential, with subsequent land degradation. Despite this, studies that focused on land capability and soil suitability to date have not considered the spatial variability of the soil nutrients and factors influencing their variability. However, this information is key for site-specific soil management. Therefore, it is vital to link land capability and soi suitability with the spatial variability of soil nutrients as it opens opportunities for more rational management of the soil resources since soil nutrients directly affect crop growth and consequently yield. To address this issue, a study was conducted on a 12 ha banana plantation portion of the Makuleke farm. The main objectives of this study were to (1) survey, classify and characterise soils in order to derive and map land capability classes of Makuleke farm, (2) quantify the physical and chemical properties of the soils in order to derive and map the soil suitability of Makuleke farm for banana production, (3) assess the spatial variability and structure of soil nutrients across the Makuleke farm and (4) Identify the factors of control of the spatial variability of the soil nutrients across the Makuleke farm. To begin with, a field soil survey was conducted using transect walks complemented by auger observations to sub-divide the 12 ha banana plantation portion of the farm into varied soil mapping units. Thereafter, soil classification was done to group soils based on their morphological properties and pedological processes. During soil classification, a total of 12 representative profile pits (1.5 m × 1.5 m long × 2 m deep/limiting layer) were excavated, studied, described, and sampled. At each profile pit, three replicates samples were collected at 0 – 30 cm depth intervals giving rise to 36 bulk soil samples. From the gathered soil profile information, four soil units were thus delineated and identified across the 12 ha banana plantation. For soil fertility assessment, a grid sampling strategy at 50 × 50 m was adopted to collect the samples across the 12 ha banana plantation. A total of 27 composite samples were collected at the nodes of the grid, and thereafter bagged, labelled, and transported to the laboratory. In the laboratory, all collected samples were air-dried and sieved using a 2 mm sieve in preparation for soil physical and chemical properties analysis. The land capability assessment of Makuleke farm was done using the concepts and principles of the FAO framework for Land Evaluation (FAO, 1976), but adapted to South African conditions by Smith (2006). Soil suitability assessment was done using the FAO framework for Land Evaluation (FAO, 1976) coupled with the guidelines for rainfed agriculture (FAO, 1983) and the criteria proposed by Sys et al. (1993) and Naidu et al. (2006). To assess the spatial variability and structure of the soil nutrients across the farm, classical and geostatistical techniques were employed respectively. A correlation matrix was employed to identify key factors influencing the spatial variability of soil nutrients across the farm. For interpolation, ordinary kriging was used to generate soil nutrient spatial distribution maps. In this study, four soil forms were identified and classified as Hutton, Westleigh, Glenrosa, and Valsrivier, which are broadly distinguished as Lixisols, Plinthosols, Leptosols, and Cambisols. Land capability results revealed that 17% of the 12 ha portion of the farm has very high arable potential (I), 60% of the farm has medium arable potential (III), 6% has low arable potential (IV) and 17 % is non-arable (VI), which might explain the varied banana yields in the farm. Soil suitability analysis revealed that 12% of the 12 ha farm is highly suitable (S1), 34% is moderately suitable (S2), 38% is marginally suitable (S3) and 16% is permanently not suitable (N2) for banana production. The low arable and marginally suitable portion of the farm was under Valsrivier soils which were limited by its shallow depth, shallow rooting depth, acidic soil pH, low organic carbon (OC), and the fact that it was located on a steeper slope gradient. The non-arable and not suitable portion of the farm for banana production was under Glenrosa and it was limited by its location on a steep slope gradient and was characterised by shallow effective rooting depth, low OC, low clay content, and acidic soil pH. Classical statistical techniques revealed that phosphorus (P), potassium (K), calcium (Ca), zinc (Zn), manganese (Mn), and copper (Cu) content varied highly across the banana plantation, while magnesium (Mg) and total nitrogen (TN) varied moderately. In addition, the geostatistical analysis revealed that spatial dependency was weak (Ca, Cu, and TN), moderate (Mg and Zn), and strong (P, K, and Mn) for the different soil nutrients across the 12 ha banana plantation. Soil nutrients with strong spatial dependency have a good spatial structure and are easily manageable (in terms of fertilisation, liming, and irrigation) across the farm compared to the ones with weak spatial dependency which have a poor structure. This study also found that land attributes, which are soil type and topographic position were the main factors driving the spatial variability of the soil nutrients across the farm. In terms of soil type, soils such as Valsrivier and Glenrosa with 2:1 clay-type smectite were the ones that had nutrient content compared to soils with 1:1 clay-type kaolinite (e.g., Westleigh and Hutton). Higher nutrient contents were also observed in the footslope position compared to the middleslope of the farmland. Correlation analysis revealed that Mn was the key polyvalent cation influencing the spatial variability of P, K, and Zn. Soil pH and effective cation exchanges capacity (ECEC) were the key soil factors driving the spatial variability of Ca, while ECEC was the key factor affecting the spatial variability of Mg. Moreover, the spatial variability of soil Mn and Cu was driven by soil Cu and clay content, respectively. The kriged maps showed that P, Mg, Zn, and Mn were high in the northeast part and low in the northwest part of the farm. Similarly, K and Ca were low in the northwest part, but they were high in the south to the southwest part of the study area. Total nitrogen was high in the west part and low in the east-northeast part, while Cu was evenly distributed across the plantation. This study highlights the importance of prior land use planning (i.e., land capability and soil suitability) and fertility assessment for agricultural production. The research results obtained provide the actual reference state of the capability of the land for arable farming and soil suitability for banana production at Makuleke farm. Moreover, the research results provide the spatial variability and structure of the soil nutrients which have a greater impact on the growth and yield of bananas. The results obtained in this study will be useful for site-specific management of soil nutrients and other soil management practices (e.g., irrigation, fertilisation, liming, etc.), developing appropriate land use plans, and quantifying anthropogenic impacts on the soil system and thus improving land productivity. / National Research Foundation (NRF)

No description available.

A l’échelle mondiale, les prairies fournissent une grande variété de services écosystémiques et sont le support économique de nombreux systèmes d’élevage. Dans un contexte global éminemment changeant, une meilleure compréhension de la structure et du fonctionnement des prairies est incontournable pour proposer à la fois des gestions plus durables des ressources et promouvoir la fourniture de services écosystémiques diversifiés par ces écosystèmes. Les prairies étant des écosystèmes dynamiques et hétérogènes, notre capacité à prédire leur fonctionnement et leurs trajectoires de réponse à un facteur environnemental (climat, gestion) reste un défi scientifique important. Ainsi, dans des prairies pâturées, l’activité de grands herbivores va être facteur d’hétérogénéité des nutriments du sol via l'excrétion. Cependant les effets de ces apports nutritifs en « patchs » et de l'hétérogénéité spatiale du sol sur la structure et les propriétés de la prairie restent peu connus. L’objectif de cette thèse est d’examiner les effets de l'hétérogénéité spatiale de l'azote (N) dans le sol sur l’écosystème prairial, en portant une attention particulière sur les réponses des communautés végétales. Notre démarche a combiné des approches expérimentales et de modélisation pour analyser les impacts d'un certain nombre d'attributs de « patch » (différentes formes d’N, taille et contraste du patch), et leurs interactions possibles avec le régime de pluviométrie ou encore la date des apports en N. Nous montrons que des apports hétérogènes en N augmentent la production des plantes et la variabilité de la biomasse intra-parcelle quel que soit la forme d’N, mais qu’ils ne modifient pas, à court terme, la production à l’échelle de la parcelle prise dans son entier. Néanmoins, des apports hétérogènes d’N-organique favorisent l’asynchronie spatiale et temporelle entre les compartiments plante - sol, avec des implications pour le fonctionnement de la prairie à plus long terme. Contrairement à la production, la structure de la communauté végétale répond significativement à l’hétérogénéité en N, avec une dominance accrue de certaines espèces et un changement dans le rang des espèces subalternes. Contre toute attente, dans cette étude, la quantité de pluie ne modifie pas les effets de l'hétérogénéité sur la production et la structure de la communauté végétale. Des simulations réalisées avec un modèle spatialisé montrent que les effets de l'hétérogénéité sur la production à l’échelle de la parcelle varient selon la taille et le niveau de contraste du patch. Pour un même apport total en N, la production répond positivement à la taille de patch, mais elle diminue dans des conditions de fort contraste en comparaison à des conditions de faible contraste. Nous n’avons pas relevé d’interactions entre la taille de patch, le niveau de contraste de patch ou la date des apports en N sur la production de prairie. D’une manière générale, nos résultats soulignent l'importance de l’hétérogénéité en N pour les processus plante-sol à différentes échelles spatiales et montrent que les effets de l'hétérogénéité varient en fonction des attributs des patchs. Les interactions biotiques (ici la compétition) semblent jouer un rôle relativement plus important que les facteurs abiotiques (ici changements chroniques de pluviométrie) pour les effets d'hétérogénéité. Nous concluons que les impacts de l'hétérogénéité en N sur les processus plante-sol peuvent avoir des conséquences sur les rétroactions plante-sol impliquées dans la régulation des cycles biogéochimiques, et sont à même de fournir des informations utiles pour le développement de pratiques de gestion efficientes dans l’utilisation de l’N. / Grasslands provide a variety of important ecological and economic services worldwide. Improved understanding of grassland structure and function is necessary for the development of sustainable management and maintaining the provision of multiple ecosystem services in a changing environment. However, predicting grassland structure and function is a challenge because grasslands are dynamic, heterogeneous systems. In grazed grasslands, large herbivore activities promote heterogeneity in soil nutrients via excretion, but the effects of patchy nutrient inputs and soil spatial heterogeneity on grassland structure and function remain unclear. This thesis addresses effects of spatial heterogeneity in soil nitrogen (N) for grassland ecosystem structure and function, with particular emphasis on community responses. A combination of experimental and modelling approaches are used to study impacts of a number of different patch attributes (N form, patch size, patch contrast), as well as possible interactions with rainfall regime and timing of N inputs. We find that patchy N inputs enhance within plot-plant production and biomass variability irrespective of N form, but do not modify whole-plot plant production in the short term. Nevertheless, patchy organic N promotes spatial and temporal asynchrony in plant-soil responses, with implications for longer-term grassland function. Unlike plant production, community structure responds significantly to patchy N inputs, with increased community dominance and a shift in the rank of subordinate species. Contrary to expectations, rainfall quantity does not modify heterogeneity effects on either plant production or community structure. Modelling work shows that heterogeneity effects on field-scale production vary depending on patch size and patch contrast. For a fixed total N input, field-scale grassland production responds positively to patch size, but decreases in high- versus low-patch contrast conditions. Patch size does not interact with patch contrast or timing of N inputs on grassland production. Overall, our results highlight the importance of N heterogeneity for plant and soil processes at different spatial scales, and demonstrate that heterogeneity effects vary depending on patch attributes. Biotic interactions (competition) appear to play a relatively greater role than abiotic factors (chronic rainfall changes) for heterogeneity effects. Impacts of N heterogeneity on plant and soil processes may have significant implications on plant-soil feedbacks involved with the regulation of biogeochemical cycling, and provide useful information for the development of efficient N management strategies.

No description available.

Cette thèse est une contribution à la construction de l’Approche Locale de la rupture à l’échelle microscopique à l’aide de la modélisation d’agrégats polycristallins. Elle consiste à prendre en compte la variabilité spatiale de la microstructure du matériau. Pour ce faire, la modélisation micromécanique du matériau est réalisée par la simulation d’agrégats polycristallins par éléments finis. Les champs aléatoires de contrainte (principale maximale et de clivage) dans le matériau qui représentent la variabilité spatiale de la microstructure sont ensuite modélisés par un champ aléatoire gaussien stationnaire ergodique. Les propriétés de variabilité spatiale de ces champs sont identifiés par une méthode d’identification, e.g. méthode du périodogramme, méthode du variogramme, méthode du maximum de vraisemblance. Des réalisations synthétiques des champs de contraintes sont ensuite simulées par une méthode de simulation, e.g. méthode Karhunen-Loève discrète, méthode “Circulant Embedding”, méthode spectrale, sans nouveau calcul aux éléments finis. Enfin, le modèle d’Approche Locale de la rupture par simulation de champ de contrainte de clivage permettant d’y intégrer les réalisations simulées du champ est construit pour estimer la probabilité de rupture du matériau. / This thesis is a contribution to the construction of the Local Approach to fracture at the microscopic scale using polycrystalline aggregate modeling. It consists in taking into account the spatial variability of the microstructure of the material. To do this, the micromechanical modeling is carried out by finite element analysis of polycrystalline aggregates. The random stress fields (maximum principal et cleavage stress) in the material representing the spatial variability of the microstructure are then modeled by a stationary ergodic Gaussian random field. The properties of the spatial variability of these fields are identified by an identification method, e.g. periodogram method, variogram method, maximum likelihood method. The synthetic realizations of the stress fields are then simulated by a simulation method, e.g. discrete Karhunen-Loève method, circulant embedding method, spectral method, without additional finite element calculations. Finally, a Local Approach to fracture by simulation of the cleavage stress field using the simulated realizations is constructed to estimate the rupture probability of the material.

La conception des ouvrages en Génie Civil se fait habituellement de manière semi-probabiliste en employant des valeurs caractéristiques auxquelles sont associées des facteurs partiels de sécurité. Toutefois, de telles approches ne permettent pas de garantir la robustesse de l’ouvrage conçu vis-à-vis des sources d’incertitudes susceptibles d’affecter ses performances au cours de sa réalisation et de son fonctionnement. Nous proposons dans ce mémoire une méthodologie d’aide à la décision pour la conception robuste des ouvrages qui est appliquée à une structure métallique reposant sur des fondations superficielles. La conception de cet ouvrage est conduite en intégrant le phénomène d’interaction sol-structure qui implique que les choix de conception faits sur la fondation influencent ceux faits sur la structure supportée (et réciproquement). La démarche de conception proposée fait appel à des outils d’optimisation multi-objectif et d’aide à la décision afin d’obtenir une solution qui offre le meilleur compromis entre l’ensemble des préférences énoncées par le décideur sur chaque critère de conception. Des analyses de sensibilité sont menées parallèlement dans le but d’identifier et de quantifier les sources d’incertitude les plus influentes sur la variabilité des performances de l’ouvrage. Ces sources d’incertitude représentées sous une forme probabiliste sont intégrées dans la procédure de conception et propagées à l’aide d’une méthode d’échantillonnage par hypercube latin. Une partie du mémoire est consacrée à l’analyse des effets de l’incertitude relative à la modélisation des paramètres géotechniques sur la réponse de l’ouvrage et sur la démarche plus globale d’optimisation. / Design in Civil Engineering is usually performed in a semi-probabilistic way using characteristic values which are associated with partial safety factors. However, this approach doesn’t guarantee the structure robustness with regard to uncertainties that could affect its performance during construction and operation. In this thesis, we propose a decision aid methodology for robust design of steel frame on spread foundations. Soil-structure interaction is taken into consideration in the design process implying that the design choices on foundations influence the design choices on steel frame (and vice versa). The proposed design approach uses multi-objective optimization and decision aid methods in order to obtain the best solution with respect to the decision-maker’s preferences on each criterion. Furthermore, sensitivity analyzes are performed in order to identify and quantify the most influencing uncertainty sources on variability of the structure performances. These uncertainties are modeled as random variables and propagated in the design process using latin hypercube sampling. A part of this dissertation is devoted to the effects of uncertainties involved in soil properties on the structure responses and on the design global approach.

Le sol présente une variabilité spatiale des propriétés physiques et mécaniques dont les effets sur des structures légères avec semelles filantes et sur les conduites enterrées ne sont pas bien pris en compte dans leur dimensionnement. Cette variabilité naturelle peut être très importante dans le cas de ces ouvrages car elle induit des tassements différentiels, dont les conséquences peuvent être dommageables : fissures dans les murs, les poutres ou encore des fuites dans les réseaux d’assainissement. La variabilité naturelle du sol et l'incertitude liée à la connaissance imparfaite des propriétés du sol et/ou du béton ou de l'acier de la structure sont les principales sources d'incertitude dans le choix des paramètres de calcul pour le dimensionnement de ces structures. Dans cette thèse, une approche analytique avec les méthodes probabilistes (FOSM et SOSM) et le modèle de Winkler, puis numérique avec le couplage de la méthode des éléments finis avec des approches géostatistiques ont été successivement menées pour modéliser le comportement des semelles filantes et des conduites enterrés lorsque les incertitudes sur les propriétés mécaniques du sol et de la structure sont prises en compte dans leur dimensionnement. Il apparait ainsi, l’importance du comportement longitudinal de ces ouvrages et du poids des incertitudes dans leur dimensionnement. / Soil exhibits spatial heterogeneities resulting from the history of its deposition and aggregation processes that occur in different physical and chemical environments. This inherent or natural variability can be very important in the case of the superficial geotechnical works inducing differential settlements, whose consequences on structural response can be harmful: local failures, cracking in beams or walls, leakage in sewers. Natural variability of soil and uncertainty related to imperfect knowledge in soil properties and/or of concrete or steel of the structure, are the major source of uncertainty in the choice of the design parameters. In this thesis the probabilistic methods in geotechnical engineering, the analytical Winkler model and the coupling of the finite element method with geostatistical approaches were successively used to model the behavior of shallow foundations and buried pipe networks when soil and structure uncertainties are considered in their design.