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1
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KEVIN TENORIO LOBO MARTINS DE SOUZA
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Application of the FVDAM technique in reinforced masonry
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Leader : FRANCISCO PATRICK ARAUJO ALMEIDA
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MEMBRES DE LA BANQUE :
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FRANCISCO PATRICK ARAUJO ALMEIDA
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RODRIGO RIBEIRO PACCOLA
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ROMILDO DOS SANTOS ESCARPINI FILHO
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SEVERINO PEREIRA CAVALCANTI MARQUES
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Data: 5 janv. 2024
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Afficher le Résumé
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Masonry is one of the oldest construction techniques in humanity. Despite millenia of study and improvement, there are still gaps in scientific knowledge and disadvantages to overcome. This is partially due to the difficulty in modelling and characterizing the material, that presents heterogeneous and periodic characteristics. One way to improve masonry about some of its weaknesses is fiber reinforcement. Fiber-reinforced Cementitious Matrix (FRCM) is a kind of reinforcement that has been well studied in this context. Consists of the coating of one or both faces of a masonry wall with a mesh of fibers embedded in cementitious matrix. Several materials can be used as fibers, the most common being steel, carbon, glass and aramid. The use of natural fibers (NFRCM) presents potential advantages in the scope of sustainability, but it is still little explored. Among the natural fibers, sisal fiber stands out, which is used in the form of ropes and presents abundant production in Brazil. However, FRCM presents an even greater challenge of modelling, since it increases the complexity and number of phases of masonry. The Finite-Volume Direct Averaging Micromechanics (FVDAM) technique is a promising option and still without application in the context of natural fibers. It consists of a homogenization technique that uses the Finite-Volume Theory (FVT) to calculate the effective properties of a heterogeneous material. Thus, the objective of this work is to investigate the effectiveness of FVDAM in the modelling and homogenization of masonry reinforced by NFRCM, comparing the results with other modelling techniques and physical tests.
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2
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OTÁVIO BRUNO DE ARAÚJO RODRIGUES
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Numerical Modeling of Tubing Strings in Oil and Gas Wells to Quantify Friction and Axial Forces
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Leader : WILLIAM WAGNER MATOS LIRA
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MEMBRES DE LA BANQUE :
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JOSÉ RENATO MENDES DE SOUSA
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EDUARDO TOLEDO DE LIMA JUNIOR
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JOAO PAULO LIMA SANTOS
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WILLIAM WAGNER MATOS LIRA
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Data: 26 janv. 2024
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Afficher le Résumé
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This work proposes the numerical modeling of tubing strings in oil and gas wells to quantify friction and axial forces. From a one-dimensional numerical model of buckling with friction, the other effects involved in the problem under study are incorporated and modeled for an accurate prediction of the efforts acting in tubing. During the life of a well it is important that the tubing supports this type of effort. Thus, the need for workover is avoided and one of the first elements of the well barrier system remains intact. The buckling of tubing forms contact regions between the column and the casing, as well as frictional forces that impact axial efforts. Due to the variety of loadings, a general solution to the buckling friction problem requires numerical solutions. In directional wells, the weight and trajectory of the tubing naturally generate frictional forces along the casing. In the literature, there are models that evaluate these forms of friction in isolation, while others even propose a joint analysis, but only for specific cases and without evaluating the loading history. In this direction, a model with all these criteria allows a more realistic analysis of the phenomenon. To achieve the proposed objective, the adopted methodology is divided into four macro-steps: i) study of friction models and aspects of column buckling; ii) computational modeling of friction buckling for tubing; iii) incorporation of new effects into frictional buckling modeling; iv) carrying out case studies on directional wells. At the end of the work, it is expected to quantify the friction in the axial forces, as well as to compare it with the other effects in scenarios of directional wells with production and injection strings under different forms of restriction. The main contributions of this work are the adaptation of a numerical model of buckling with friction to evaluate other forms of friction, buckling criteria update for directional wells and development of a strategy for evaluating the piston effect of the string in the numerical model.
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3
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AYSLAN DAVIDSON AGUIAR DOS SANTOS
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ELABORATION OF MODELS FOR THE OPERATIONAL SEQUENCE HISTORICAL DATA BASED OFFSHORE WELL STRUCTURES
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Leader : ALINE DA SILVA RAMOS BARBOZA
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MEMBRES DE LA BANQUE :
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ALINE DA SILVA RAMOS BARBOZA
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JOAO PAULO LIMA SANTOS
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ROBERTO BARBOSA DOS SANTOS
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Data: 9 févr. 2024
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Afficher le Résumé
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In offshore oil exploration, the construction of a well requires long and complex operations, which results in high costs, mainly related to the rental of drilling rigs. it is essential to analyze the sequence of operations required for its construction, particularly concerning its structure, given its importance throughout the well's lifecycle, in order to seek a reduction in errors and execution time. A promising analytical approach is to use historical data in the planning of new offshore operations, aiming to bring more predictability to the assessment and design process of new wells. To do so, operational sequence models of the well structure were developed based on actual drilling schedules to establish parameters for duration and anomalies for production, injection, and special wells. The analyses were conducted using a database of drilling schedules carried out by an oil company. The schedules were imported into spreadsheets, where they are grouped according to well type, and specific well structure activities are separated from others to establish the operational sequence and its parameters. The developed models can be used for both the design of new wells and the evaluation of previously executed schedules, aiming to reduce errors, downtime of equipment and personnel, and, consequently, cost reduction.
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4
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ANTONIO PAULO AMANCIO FERRO
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Predictive models for ROP as support for real-time optimization of operational drilling parameters in oil well drilling
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Leader : ALINE DA SILVA RAMOS BARBOZA
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MEMBRES DE LA BANQUE :
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ALINE DA SILVA RAMOS BARBOZA
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CHARLTON OKAMA DE SOUZA
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EDUARDO NOBRE LAGES
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Data: 21 mars 2024
Ata de defesa assinada:
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Afficher le Résumé
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The Rate of Penetration (ROP) is a parameter of great interest in real-time drilling optimization. A higher ROP reduces drilling time and can lead to significant cost reductions in well construction. Predictive models for ROP are applied to predict ROP based on measured data while drilling, enabling the determination of optimal operational parameters such as RPM, WOB, and fluid flow when combined with optimization techniques. Obtaining more accurate ROP models is a challenging task due to the large number of factors interacting nonlinearly. This study involves the examination of different ROP models, including traditional ones, like Bourgoyne & Young and Specific Mechanical Energy, and their adaptations, compared with machine learning models such as Artificial Neural Networks (ANN) and Random Forests (RF). Public data from 7 wells were structured into a dataset with relevant information for evaluating the performance of different models in estimating ROP, including operational parameters, drill-bit data, lithology, geophysical logging data, pore pressure gradient, and unconfined compressive strength. In comparative analyses, error metrics such as Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) are compared among the different models for each of the 7 wells. Statistical significance analysis is performed with the Bourgoyne & Young model to understand more significant effects on ROP. The interpretability of traditional models, along with hyperparameter tuning, is adopted to employ machine learning models with more meaningful inputs and greater predictive capacity. Next, two strategies found in the literature for using predictive models for ROP in real-time optimization are compared: models trained with offset well data or with the well’s own data, simulating a gradual data acquisition process (continuous learning). The results indicate better performance of machine learning models compared to traditional models. The RF model shows overall better performance in comparative analyses, with smaller errors and lower computational cost. The relevance of torque and the inclusion of formation data (Delta-T compressional) in machine learning models is identified. Also, continuous learning strategy can achieve lower errors, although both strategies are capable of generating appropriate predictions.
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5
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HUGO AGUIAR VITORIO MENDONÇA
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Comparative analysis of damage identification methods in steel beams
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Leader : WAYNE SANTOS DE ASSIS
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MEMBRES DE LA BANQUE :
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FLAVIO BARBOZA DE LIMA
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HIGOR SÉRGIO DANTAS DE ARGÔLO
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WAYNE SANTOS DE ASSIS
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Data: 25 mars 2024
Ata de defesa assinada:
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Afficher le Résumé
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This research aimed to perform a comparative analysis between damage identification methods based on modal analysis, to cooperate with the Structural Health Monitoring (SHM) process in steel beams. To achieve that, steel beam models were be generated via commercial finite elements software Abaqus with differences in parameters such as damage level, damage location and boundary conditions. After obtaining results for mode shape displacement, two more parameters are added: noise level and the use or not of a curve fit to smooth data. As there are four methods of damage identification compared: DCM, DCMM, MSDBI and MSDBIM, it was issued a full factorial Design of Experiments (DOE) to analyze and to check the effectiveness of each method in detecting and possibly localizing damage, in addition to observe the ability to distinguish different levels of damage to each model through statistical analysis that was extended to study the influence of factors in the problem response of each damage identification methods. The results obtained show that the methods have high effectiveness to locate damage in noiseless conditions, however the presence of noise decreases the correct identification of damage, even with regression fit to smooth modal data. The modified methods performed better when compared to the originals, and the methods DCM and DCMM located the damage more easily than MSDBI and MSDBIM.
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6
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THAUANY ALVES PASTOR
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Analysis of the feasibility of using construction and demolition waste to produce recycled blocks.
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Leader : WAYNE SANTOS DE ASSIS
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MEMBRES DE LA BANQUE :
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WAYNE SANTOS DE ASSIS
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PAULO CESAR CORREIA GOMES
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MANOEL MARTINS DOS SANTOS FILHO
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Data: 22 avr. 2024
Ata de defesa assinada:
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Afficher le Résumé
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The Northeast is the third largest region in Brazil in terms of construction and demolition waste generation, according to ABRELPE (2021). With increasing urbanization, there is a growing trend in waste generation, which has led the United Nations to highlight solid waste as one of the main current problems. Therefore, finding an appropriate destination for this waste strengthens environmental sustainability and the development of sustainable cities. In this context, a sustainable opportunity arises for the destination of C&D waste, such as the production of new construction materials, for example, recycled blocks. This research evaluates the technical feasibility of using mixed recycled demolition aggregates in the production of blocks, seeking to reinsert them into the construction chain and generate new sustainable materials. To this end, the study was carried out using waste provided by the company Braskem. The recycled aggregates were collected, processed, underwent an impurity removal process and characterization procedures. After these steps, a unifactorial experimental design was adopted, with granulometry as a factor, using the following aggregate combinations: 100% natural, recycled fine and natural coarse and natural fine and recycled coarse, in order to determine the influence of these combinations on the axial compressive strength of the blocks. For the dosage study, the optimum composition was defined, by means of the granular skeleton, in addition to the compressive rheometry technique being performed to determine the optimum moisture content. In the block production stage, a new dosage study was carried out, with the objective of determining the optimum moisture content for the blocks. The results indicated that the blocks produced with recycled sand and natural crushed stone were the only ones that presented characteristic strength for structural blocks. In addition, statistical tests proved, at a significance level of 5%, that blocks with recycled sand and natural crushed stone presented significant differences in their average strength when compared to the other sets of blocks (natural and combination with natural sand and recycled crushed stone).
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7
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JONATHAN HENRIQUE CORDEIRO NUNES
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Comparative study of shear models for reinforced concrete elements with solid and hollow circular cross sections
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Leader : SEVERINO PEREIRA CAVALCANTI MARQUES
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MEMBRES DE LA BANQUE :
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ROMEL DIAS VANDERLEI
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DAVID LEONARDO NASCIMENTO DE FIGUEIREDO AMORIM
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SEVERINO PEREIRA CAVALCANTI MARQUES
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Data: 30 avr. 2024
Ata de defesa assinada:
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Afficher le Résumé
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In the design of reinforced concrete structures, the analysis of shear strength is an essential step to ensure the safety and durability of the structure. Although most of the technical standards, such as NBR 6118 (2023), provide models for evaluation of the shear strength of rectangular cross-sections, specific guidelines for the cases of circular cross-sections, widely used in engineering applications, in general, are not reported. To overcome this gap, some international codes and standards use simplified methods based on those developed for rectangular cross-sections, introducing adequacy parameters to define fictitious dimensions, such as, effective depth h and the width bw. Different theoretical approaches and experimental works are available in the literature aiming to evaluate the individual contributions of concrete and transversal reinforcements to the shear strength of elements with circular cross-sections. However, a consensual conclusion on the best model for evaluating such contributions does not exist yet. In this context, the present work aimed to analyze the performance of existing models for predicting the shear strength of reinforced concrete elements with solid and hollow circular cross-sections, subjected to simple bending and flexo-compression. Additionally, the performance of both circular and spiral stirrups for such cross-sections was also assessed. For this end, a bibliographical review of existing prediction models was carried out, followed by the construction of a large database from 291 tested specimens available in the literature, for comparative analysis between theoretical and experimental values. Electronic spreadsheets were used to automate the calculations of the selected models. A descriptive statistical analysis was conducted, covering measures of central tendency, variability, and error metrics. Graphic representations, such as box plots and radar charts, were employed for result visualization. Normality and hypothesis tests were applied to evaluate the statistical significance and adequacy of the models to the experimental data. Based on the statistical analyses, it is observed that, in general, the theoretical results presented non-negligible discrepancies in relation to the experimental data, although the predictions of some models showed good adherence in relation to the experimental results. Also, it is worth noting that, even though most of the models exhibited conservative results, some of them provided unsafe shear strength values. In summary, there is a need to carry out more theoretical and experimental studies aiming at a more accurate representation of the shear strength behavior of circular reinforced concrete sections, improving the design guidelines for those structural elements and contributing to scientific and practical discussions in the corresponding field of knowledge.
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8
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NORA NEI JESICA OLIVEIRA SANTANA
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Topology Optimization with Support Structure Filter for Addictive Manufacturing
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Leader : ADEILDO SOARES RAMOS JUNIOR
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MEMBRES DE LA BANQUE :
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ADEILDO SOARES RAMOS JUNIOR
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ALINE DA SILVA RAMOS BARBOZA
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EDUARDO NOBRE LAGES
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IVVY PEDROSA CAVALCANTE PESSOA QUINTELLA
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Data: 6 juin 2024
Ata de defesa assinada:
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Afficher le Résumé
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Topology optimization stands out as an important technique for analysis and design of projects, seeking to maximize structural performance through efficient material distribution, considering boundary conditions and problem constraints. However, manufacturing these structures through traditional methods are not always feasible, due to the complex and unconventional configuration of the geometry. Thus, additive manufacturing (AM) emerges as an innovative solution, allowing the production of objects layer by layer, without the need for molds. However, projection angles greater than 45º in the geometry may require support material to avoid failures and deformations during printing, increasing material costs and manufacturing time. Therefore, this study aims to evaluate the use of topological optimization in conjunction with the support structure filter for additive manufacturing, highlighting the potential benefits in terms of material and production time savings. In this sense, the AMfilter, developed by Langelaar (2016), is used together with the 88-line educational code developed by Andreassen et al. (2010), whose performance is verified through simulations of printing the optimized models. The AMfilter seeks to eliminate the need for support structure based on geometric restriction, removing protruding surfaces that exceed the maximum allowed angle, making the geometry directly printable without support structures. The results indicate some limitations of the AMfilter, such as mesh dependence and gradual increase in intermediate density in the printing direction. In addition, the solutions resulting from topological optimization together with the AMfilter did not completely eliminate the support structures. Despite the modifications of the topologies in relation to the reference model, these were not sufficient to achieve the expected result. However, a reduction in the estimated time for support printing and consequently in material consumption is observed compared to the reference model. This reduction was less significant in simulations with a 45º angle for support generation, but in simulations with higher angles of 53º and 60º, it reached an average reduction of 25.06% and 37.02%, respectively, among the examples discussed
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Thèses |
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1
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SALVATORE VERDE
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NON-SORTED GENETIC ALGORITHM OPTIMIZATION OF COST-EFFICIENT SYNTHETIC MOORING SYSTEMS UTILIZING POLYMER SPRINGS FOR 15 MW FLOATING WIND TURBINES IN RELATIVELY SHALLOW WATERS
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Leader : EDUARDO NOBRE LAGES
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MEMBRES DE LA BANQUE :
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ADEILDO SOARES RAMOS JUNIOR
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EDUARDO NOBRE LAGES
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FÁBIO MARTINS GONÇALVES FERREIRA
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GUILHERME ROSA FRANZINI
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THIAGO PONTIN TANCREDI
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Data: 26 mars 2024
Ata de defesa assinada:
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Afficher le Résumé
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The imperative transition to renewable energy sources, driven by the need to address energy security and climate change challenges, underscores the pivotal role of offshore wind energy. This study delves into the multifaceted aspects of wind energy, examining both the potential in shallow water installations and the ongoing paradigm shift towards larger turbine sizes. In the exploration of shallow water regions, economically viable locations for wind farms emerge between 50 and 70 meters in depth, employing shared anchor concepts and mooring line systems. The selection of an optimal system type is critical, and past research highlights the efficiency of synthetic fiber ropes over traditional chain catenary configurations. This paper presents dynamic analyses applied to a 15 MW turbine and the VolturnUS-S reference platform in the Celtic Sea. A comprehensive comparative assessment of planar displacements, rotations, and loads on a shared anchor is conducted using nylon and polyester ropes. Results show a notable 44% reduction in peak resolved anchor load with nylon compared to polyester, albeit with larger displacements and rotations, suggesting potential improvements in mooring design. With nylon being 10% more cost-effective than polyester and ongoing investigations into efficient anchor concepts, this study encourages further exploration of nylon applications in shallow-water wind farms. Simultaneously, the wind energy sector grapples with the challenge of escalating turbine sizes to reduce the levelized cost of energy. This necessitates smaller platform and mooring systems, especially in the context of shallow-water installations. Building upon prior research, which employed a multi-objective optimization (MO) framework for designing platforms and mooring systems with synthetic lines, this study extends the existing framework by incorporating computational efficiency strategies. The utilization of a static methodology and a running metric as a termination criteria for the MO contributes to computational efficiency. Additionally, the study explores the optimization of an alternative mooring system using spring polymer, revealing the potential for a substantial reduction in mooring system costs for smaller radii. This holistic approach addresses the dual challenge of enhancing turbine efficiency in larger sizes while adapting to the constraints posed by shallow-water installations. The fusion of insights from both aspects contributes to a more comprehensive understanding of the evolving landscape of offshore wind energy.
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2
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MATHEUS BARBOSA MOREIRA CEDRIM
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Leader : ALINE DA SILVA RAMOS BARBOZA
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MEMBRES DE LA BANQUE :
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ALINE DA SILVA RAMOS BARBOZA
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DANIEL DE LIMA ARAÚJO
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DAVID LEONARDO NASCIMENTO DE FIGUEIREDO AMORIM
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EDUARDO NOBRE LAGES
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JESIEL CUNHA
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VALÉRIO DA SILVA ALMEIDA
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Data: 14 août 2024
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Afficher le Résumé
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3
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RAFAEL NUNES DA CUNHA
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Lumped damage mechanics to analyze thin plates, slabs, and shells
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Leader : DAVID LEONARDO NASCIMENTO DE FIGUEIREDO AMORIM
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MEMBRES DE LA BANQUE :
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DAVID LEONARDO NASCIMENTO DE FIGUEIREDO AMORIM
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ALINE DA SILVA RAMOS BARBOZA
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SERGIO GUSTAVO FERREIRA CORDEIRO
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RUBIA MARA BOSSE
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RODRIGO BARROS
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Data: 16 déc. 2024
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Afficher le Résumé
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The pursuit of better understanding and description of structures is of fundamental importance in the field of structural engineering. For an accurate description, it is necessary for models to consider the physical nonlinear behaviour of materials. The main theories that account for nonlinear effects are plasticity theory, fracture mechanics, damage mechanics, and phase field models. These theories have significantly contributed to structural engineering; however, they also face limitations associated with nonlinear solutions, such as describing post-peak nonlinear behaviour or presenting infinite solutions when addressing the problem of strain localization. Lumped Damage Mechanics (LDM), initially proposed for frame elements and later formulated for two-dimensional media, has proven capable of performing nonlinear analyses while avoiding the strain localization issue without the need for any regularization techniques. Therefore, the present study aims to contribute to the development of analyses using LDM by proposing new models for the analysis of plates, slabs, and thin shells. The study selected the Discrete Kirchhoff Triangle (DKT) finite element for plate analysis and the Constant Moment Triangle (CMT) for the analysis of plates, slabs, and shells. For the latter, the Constant Strain Triangle (CST) element was also employed. All elements were reformulated to modify their kinematic variables and allow the inclusion of LDM considerations. For plate elements, a nonlinear damage evolution law with exponential softening behaviour was adopted. This study also developed an experimental campaign involving the casting of fibre-reinforced concrete plates. The plate finite elements were applied to a series of experimental tests found in the literature as well as the experimental tests conducted in this study, yielding satisfactory results in terms of Force vs. Displacement, crack distribution, and crack opening displacement. Based on the plate element using the CMT, this study proposes a new model for evaluating reinforced concrete plates (slabs). In this model, the inelastic variables are defined as damage and plastic rotations, which can be related to the reinforced concrete response (cracking and reinforcement yielding). Different damage evolution and plastic rotation laws are proposed. The model was applied to a series of experimental tests from the literature, with results showing high accuracy compared to experimental data in terms of Force vs. Displacement and the initiation and propagation of complex networks of cracks. Finally, a flat shell model for application to reinforced concrete shells is proposed. Axial effects are described by the CST finite element, assumed to have an elastic-linear response, while bending effects are modelled using the proposed slab element. The model was applied to a couple experimental examples from the literature, achieving results with good accuracy, proving suitable for predicting Force vs. Displacement responses and the cracking condition, in comparison to an arch model and experimental results.
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4
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WILL JOSÉ DE LIMA JÚNIOR
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DAMAGE IDENTIFICATION IN LINEAR STRUCTURAL ELEMENTS USING HYBRID PHYSICS-BASED AND DATA-DRIVEN MODELING METHODOLOGIES, MACHINE LEARNING AND DIGITAL TWIN
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Leader : WAYNE SANTOS DE ASSIS
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MEMBRES DE LA BANQUE :
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WAYNE SANTOS DE ASSIS
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EDUARDO TOLEDO DE LIMA JUNIOR
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JOAO PAULO LIMA SANTOS
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ANDRE LUIZ LINS DE AQUINO
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FABIANE DA SILVA QUEIROZ
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LEANDRO MOUTA TRAUTWEIN
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Data: 18 déc. 2024
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Afficher le Résumé
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This work presents a novel structural health monitoring (SHM) framework for damage identification in linear steel structural elements (compressed bars and beams), in the context of dynamical systems. The framework integrates a hybrid physics-based and data-driven model (that can result in a generalizable, accurate, interpretable and computationally efficient model) and supervised machine learning methods, to construct a digital twin. The governing equations of motion of the healthy structure, discovered by hybrid modeling, are used to simulate the response of the system with damage at different locations and intensities. From these simulations a dataset is constructed to train the machine learning classifiers, considering the beam scenarios with damage and undamaged. The constructed digital twin relates the inputs of the physical twin to specific damage scenarios to quickly warn if there is damage, where it is located and what is its severity, supporting engineering decisions. The DT framework was evaluated in different application configurations, demonstrating the potential for significant contribution to the establishment of SHM systems. Support Vector Machine was the best performing classifier, with an precision of 93.97% for the cantilever bar and 80.33% for the fixed-end bar. The damage to the cantilever and fixed-end bars, considering axial vibration, was identified and robust for certain noise levels. However, it was observed that damage identification was more difficult in hyperstatic structures. The identification of damage in beams, considering transverse vibration, proved promising, with an accuracy of 84.31% for the Support Vector Machine classifier using the displacement feature and 99.98% for the Quadratic Discriminant Analysis classifier using the displacement and acceleration features.
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