abstract: A new critical plane-energy model is proposed in this thesis for multiaxial fatigue life prediction of homogeneous and heterogeneous materials. Brief review of existing methods, especially on the critical plane-based and energy-based methods, are given first. Special focus is on one critical plane approach which has been shown to work for both brittle and ductile metals. The key idea is to automatically change the critical plane orientation with respect to different materials and stress states. One potential drawback of the developed model is that it needs an empirical calibration parameter for non-proportional multiaxial loadings since only the strain terms are used and the out-of-phase hardening cannot be considered. The energy-based model using the critical plane concept is proposed with help of the Mroz-Garud hardening rule to explicitly include the effect of non-proportional hardening under fatigue cyclic loadings. Thus, the empirical calibration for non-proportional loading is not needed since the out-of-phase hardening is naturally included in the stress calculation. The model predictions are compared with experimental data from open literature and it is shown the proposed model can work for both proportional and non-proportional loadings without the empirical calibration. Next, the model is extended for the fatigue analysis of heterogeneous materials integrating with finite element method. Fatigue crack initiation of representative volume of heterogeneous materials is analyzed using the developed critical plane-energy model and special focus is on the microstructure effect on the multiaxial fatigue life predictions. Several conclusions and future work is drawn based on the proposed study. / Dissertation/Thesis / Masters Thesis Mechanical Engineering 2016

Devido à preocupação com a durabilidade das estruturas de concreto armado surgiram novas linhas de pesquisa destacando-se, dentre elas, a previsão de vida útil. Estes estudos deram origem a diversos modelos que tentam estabelecer o comportamento do concreto quando exposto a ambientes agressivos durante um determinado período. Existem várias maneiras de se modelar este comportamento: com base em resultados obtidos em experiências anteriores; a partir de ensaios de degradação acelerados; por métodos determinísticos e probabilísticos ou estocásticos. A estimativa de vida útil das estruturas de concreto empregando dados de ensaios acelerados é recomendada pela ASTM E-632 (1996) desde que estes sejam correlacionados com resultados de ensaios não acelerados ou naturais. A correlação entre estes ensaios possibilita a determinação dos coeficientes de aceleração, os quais expressam o número de vezes em que o ensaio acelerado representa o fenômeno de degradação natural. Dentro deste contexto o presente trabalho avalia a carbonatação do concreto com e sem adição de sílica ativa exposto a degradação natural e acelerada, verificando também a influência do teor desta adição e da relação água/aglomerante na carbonatação. Em paralelo foram determinados os coeficientes de carbonatação (kc) e de aceleração (αa). Os concretos estudados possuem relação água/aglomerante de 0,30; 0,35; 0,45; 0,60 e 0,80 e teor de adição de 0; 5; 10; 15e 20%. A carbonatação natural das amostras foi avaliada após 7 anos de exposição ao CO2, tendo como ambiente de degradação a cidade de Porto Alegre, RS. Os dados de carbonatação acelerada foram obtidos aos 7, 28, 63 e 98 dias de exposição ao CO2 com concentração de 5%, temperatura de 25°C e umidade relativa (UR) de 70%. Para o ensaio acelerado, baseado em análise estatística por meio de regressão múltipla não-linear, os resultados apontaram que a adição de sílica ativa em dosagens com relação água/aglomerante elevada aumenta a profundidade de carbonatação do concreto. Para a relação água/aglomerante de 0,80 com 0 e 20% de adição de sílica ativa, os coeficientes de aceleração obtidos foram de 31,15 e 35,49, respectivamente. / New researches has been appeared with the concern of reinforced concrete structures durability, standing out the service life prediction. These studies creates some models that establish the concrete performance when exposed to an aggressive environment. There are several ways to modeling this performance: with results obtained in previous tests; with accelerated degradation tests; or deterministic and stochastic methods. The concrete structures service life prediction using short term test data are recommended by ASTM E-632 (1996) since these are correlated with long term test results. The correlation among these tests makes possible the acceleration coefficient determination, which express how the accelerated tests represents the natural degradation phenomenon. In this sense, this work evaluate the concrete carbonation with and without silica fume exposed to natural and accelerated test, verifying the influence of silica fume tenor in this material and water – binder ratio in the carbonation. In addition to this, were determined the carbonation (kc) and acceleration coefficients (αa). The concretes studied has a 0,30; 0,35; 0,45; 0,60 and 0,80 water-binder ratio and 0; 5; 10; 15 and 20% addition tenor. The samples natural carbonation was analyzed after 7 years of CO2 exhibition from Porto Alegre city environment degradation. The accelerated carbonation data were obtained in 7, 28, 63 and 98 days of CO2 exhibition with 5% concentration, temperature of 20°C and humidity of 60%. In accelerated tests, based on statistical analysis through nonlinear estimation multiple regression, the results showed that the silica fume addition in high water-binder ratio mixtures increases the concrete carbonation depth. For water-binder ratio 0,80 with silica fume addition of 0 and 20%, the acceleration coefficients obtained were 31,15 and 35,49, respectively.

The global importance of and need for sustainable development demand an informed decision-making process from the built environment to ensure optimum service life, which depends on the ability to quantify changes in condition of building materials over time. The objective of this thesis is to develop a model, which translates expert knowledge and reasoning into probability values through the application of Fuzzy Logic Artificial Intelligence to supplement limited historical performance data on degradation of building materials for the development of Markov Chain transitional probability matrices to predict service life, condition changes over time, and consequences of maintenance levels on service life of buildings. The Markov Chain methodology, a stochastic approach used for simulating the transition from one condition to another over time, has been identified as the preferred method for service life prediction by a number of studies. Limited availability of historic performance data on degradation and durability of building materials, required to populate the Markovian transition probability matrices, however restricts the application of the Markov Chain methodology. The durability and degradation factors, defined as design and maintenance levels, material and workmanship quality, external and internal climate, and operational environment, similar to the factors identified in the state-of-the–art ‘Factor Method’ for service life prediction, and current condition are rated on a uniform colour-coded five-point rating system and used to develop “IF-THEN” rules based on expert knowledge and reasoning. Fuzzy logic artificial intelligence is then used to translate these rules into crisp probability values to populate the Markovian transitional probability matrices. Historic performance data from previous condition assessments of six academic hospitals are used to calibrate and test the model. There is good correlation between the transitional probability matrices developed for the proposed model and other Markov applications in concrete bridge deck deterioration and roof maintenance models, based on historic performance data collected over extended periods, which makes the correlation more significant. Proof is presented that the Markov Chain can be used to calculate the estimated service life of a building or component, quantify changes in condition over time and determine the effect of maintenance levels on service life. It is also illustrated that the limited availability of historic performance data on degradation of building materials can be supplemented with expert knowledge, translated into probability values through the application of Fuzzy Logic Artificial Intelligence, to develop transition probability matrices for the Markov Chain. The proposed model can also be used to determine the estimated loss of or gain in service life of a building or component for various levels of maintenance. / Thesis (PhD(Civil Engineering))--University of Pretoria, 2007. / Civil Engineering / unrestricted

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Thermal power stations operate at elevated temperatures and pressures in order to attain maximum available steam energy. At these high temperatures creep becomes a dominant mechanism that needs to be considered. However, for many components, the locations where peak stresses occur are unreachable to apply the commonly used Non-Destructive Testing (NDT) techniques. This encourages the use of Finite Element Analysis (FEA) to better predict the creep state in these complex components. Commonly, creep damage models are used in conjunction with accelerated creep tests to develop material models that can be implemented into a FEA to determine failure. These approaches are often infeasible for industrial decision-making, leaving a gap for more accessible commercially available models to be developed. This paper focuses on using openly available creep data from the Japanese National Institute for Material Science (NIMS). A creep strain model capable of modelling only the primary and secondary creep regimes was then chosen from the ANSYS database to fit this data. In order to fully characterise the experimental data a multi-creep-model approach was adopted that uses a family of creep models, instead of a single creep material model, to characterise the probable range of responses. This methodology was applied to an industrial application, namely an Intermediate Pressure (IP) valve operating under creep-prone conditions. The multi-creep-model approach was incorporated into FEA to analyse the variation in stress distributions. It was interesting to see that a variation of 153% in the creep strain models only resulted in a 21% variation in the relaxed stress. Worst case scenario life time calculations were then conducted using both a time-based Larson-Miller approach and a strain-based ASME code approach. Both sets of results showed that, for the specific component of interest, creep rupture lifetimes were in excess of 3000 years. It was therefore noted that, for the IP valve of interest, the operating temperature and pressure combination were such that no worrisome creep damage occurred. In conclusion, for the specific component analysed, the operating conditions are such that creep based failure will not occur. / Dissertation (MEng)--University of Pretoria, 2017. / NRF / EPPEI / Mechanical and Aeronautical Engineering / MEng / Unrestricted

The built environment usually constitutes a very importantpart of the real capital of a nation and the constructionsector represents more than 10% of the yearly Gross NationalProduct of the industrialised world. The importance of goodplanning of all construction, where the service life of thework is considered, is of great interest and an importantaspect in sustainability considerations. The need for increasedknowledge about degradation of materials, for structuredmethodology, and for working tools for those involved in theplanning process, has resulted in an extensive effort inpre-normative research and standardisation regarding thisfield. This thesis presents a discussion on service life planningand the role of the Factor Method in such a work, andespecially, discussion of modification and development of themethodology. In the design process, the need to evaluate theservice life of products is great, and this is a formidableproblem to solve, as the results will depend on both materialproperties and the environment in which the material is placedor used. A practical solution has to be based on a goodknowledge in the field, but also on a sound working strategy,to ensure that different design scenarios can be compared in astandardised or structured way. The Factor Method is apromising working tool for such an evaluation and comparison,but is as such, still more of a methodology, than a method.Examples of the use of the methodology are still very limitedand the method as such, is much discussed by researchers.However, its future will depend on how practical it will be toapply in use. The method is useful to estimate the service lifeof products, based on a known reference service life and anumber of modifying factors that will depend on the conditiondifferences between the specific project and the referencein-use conditions. The required precision of such a methodologyis discussed, especially in the light of inherent distributionin material properties and the fact that often the consequencesof failure are very limited. In such cases, the standardisedFactor Method is considered to be of great use and should giveparties involved a good means for working in a structured andsystematic way. / NR 20140805

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