Nonlinear formulation based on FEM, Mazars damage criterion and Fick’s law applied to failure assessment of reinforced concrete structures subjected to chloride ingress and reinforcements corrosion

Liberati, Elyson Andrew Pozo; Nogueira, Caio Gorla; Leonel, Edson Denner; Chateauneuf, Alaa

doi:10.1016/j.engfailanal.2014.09.006

Cited by 42 publications

(34 citation statements)

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“…The integration of the chloride ingress described by equation (2) into a suitable probabilistic framework allows to estimate the cumulative distribution function (CDF) of the time to corrosion initiation, F t ini , as [34]:…”

Section: Probabilistic Assessment Of Loading Conditions On the Rc Durmentioning

confidence: 99%

“…However, the penetration of chlorides in concrete is controlled by complex interactions among physical and chemical mechanisms, which are inherent at this problem and related to large number of uncertainties; consequently, it can only be accurately analyzed considering probabilistic approaches [7-8, 30-31; 33, 35; 37-39]. These uncertainties are mainly related to material properties and exposure conditions [6,30,[33][34][35]. They are also influenced by temporal and spatial variability of associated deterioration processes [40][41][42].…”

Section: Introductionmentioning

confidence: 99%

“…Such functions and factors could be introduced in chloride ingress models to estimate the time to corrosion initiation by considering cracking effects. To simulate the chloride ingress into concrete porous, Fick's diffusion law [28] has been widely used and considered as an acceptable approach with more or less complex analytical [29][30][31][32][33][34] and numerical solutions [35][36]. However, the penetration of chlorides in concrete is controlled by complex interactions among physical and chemical mechanisms, which are inherent at this problem and related to large number of uncertainties; consequently, it can only be accurately analyzed considering probabilistic approaches [7-8, 30-31; 33, 35; 37-39].…”

Section: Introductionmentioning

confidence: 99%

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Probabilistic analysis of chloride penetration in reinforced concrete subjected to pre-exposure static and fatigue loading and wetting-drying cycles

Wang

Bastidas‐Arteaga

Gao

2018

Engineering Failure Analysis

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analysis of chloride penetration in reinforced concrete subjected to pre-exposure static and fatigue loading and wetting-drying cycles. Engineering Failure Analysis, Elsevier, 2017Elsevier, , 10.1016Elsevier, /j.engfailanal.2017 1 Please cite this paper as: Wang XH, Bastidas-Arteaga E. Gao Y. (2017). Probabilistic analysis of chloride penetration in reinforced concrete subjected to pre-exposure static and fatigue loading and wetting-drying cycles. Engineering Failure Analysis. In press https://doi.org/10. 1016/j.engfailanal.2017.11.008 Probabilistic analysis of chloride penetration in reinforced concrete subjected to pre-exposure static and fatigue loading and wetting-drying cycles AbstractReinforced concrete (RC) structures are subjected to environmental actions and loading that could significantly affect their serviceability and safety. Among these actions these paper focuses on the interaction between concrete cracking produced by static and fatigue loading and chloride ingress. Given the complexity of the problem and its related uncertainties, we carried out an experimental study that provided information for the probabilistic characterization of chloride ingress model parameters by accounting for static and fatigue loading effects. In the experimental part of the study RC specimens (beams) were subjected to pre-exposure loading and wetting-drying chloride exposure. At the end of the simulated chloride environmental attack, ϕ100×120-mm cylinders were drilled out from the bottom side of the central zone of the beams and used to measure chloride profiles within the concrete cover. The probabilistic analysis of test results showed that static and fatigue loading increases both the mean and standard deviation of chloride content for concrete depths larger than 15 mm. In order to evaluate the effect of loading on modeling chloride ingress processes, experimental data was used to fit the surface chloride concentration and the chloride diffusion coefficient for an analytical chloride ingress model as random variables. The identified random variables are then used to determine the distribution of the time to corrosion initiation for the present experimental configuration and to evaluate the long-term probability of corrosion initiation for other environmental exposures and cover configurations. The overall results confirm that considering pre-exposure loading conditions has an important effect in lifetime assessment. This effect depends on the aggressiveness of the surrounding environment. Keywords: pre-exposure loads and wetting/drying cycle; reliability; chloride-induced corrosion; random variable identification; reinforced concrete IntroductionOne of the main causes of reinforced concrete (RC) deterioration is the corrosion of the reinforcing bars due to chloride ingress from the surrounding environment [1]. Chloride-induced corrosion leads to loss of cross-section of reinforcing bars, loss of bond between steel and concrete [2,3] and concrete cracking [4,5]. These deterioration effects produce a significan...

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Section: Probabilistic Assessment Of Loading Conditions On the Rc Durmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Probabilistic analysis of chloride penetration in reinforced concrete subjected to pre-exposure static and fatigue loading and wetting-drying cycles

Wang

Bastidas‐Arteaga

Gao

2018

Engineering Failure Analysis

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“…Therefore, the proposed models, in literature, to represent such phenomenon are based, normally, only into ionic diffusion. Fick's law [17] is an approach that has been widely used to simulate chloride penetration and its transport through concrete pores [7,14,15,18,19,20]. It is important to mention that Fick's laws for diffusion assumes the media in which the flow occurs as homogeneous, isotropic and chemically inert.…”

Section: Fick's Lawmentioning

confidence: 99%

“…Interaction abacuses were proposed in order to determine optimum values of concrete cover according to maintenance time fixed a priori. Liberati et al [15] proposed the coupling among Fick's law, reliability algorithms and damage mechanics to predict the structural life based on a robust finite element code. Such model allowed the elastoplastic behaviour of reinforcements and quasi-brittle behaviour of concrete.…”

Section: Introductionmentioning

confidence: 99%

Influence of reinforcement's corrosion into hyperstatic reinforced concrete beams: a probabilistic failure scenarios analysis

Pellizzer

Leonel

Nogueira

2015

Rev. IBRACON Estrut. Mater.

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ResumoThis work aims to study the mechanical effects of reinforcement's corrosion in hyperstatic reinforced concrete beams. The focus is the probabilistic determination of individual failure scenarios change as well as global failure change along time. The limit state functions assumed describe analytically bending and shear resistance of reinforced concrete rectangular cross sections as a function of steel and concrete resistance and section dimensions. It was incorporated empirical laws that penalize the steel yield stress and the reinforcement's area along time in addition to Fick's law, which models the chloride penetration into concrete pores. The reliability theory was applied based on Monte Carlo simulation method, which assesses each individual probability of failure. The probability of global structural failure was determined based in the concept of failure tree. The results of a hyperstatic reinforced concrete beam showed that reinforcements corrosion make change into the failure scenarios modes. Therefore, unimportant failure modes in design phase become important after corrosion start.Keywords: reinforcements corrosion, chlorides ingress, Fick's law, reliability, reinforced concrete, failure scenarios.Este trabalho tem como principal objetivo analisar os efeitos da corrosão de armaduras em vigas em concreto armado na alteração dos possíveis cenários de falha individuais e na falha global da estrutura ao longo do tempo. As equações de estado limite consideradas descrevem analiticamente a resistência à flexão e ao esforço cortante em seções transversais retangulares em concreto armado. Foi também incorporada uma lei que penaliza a resistência ao escoamento do aço em função da evolução da corrosão em conjunto com a lei de Fick, a qual modela a penetração de íons cloreto no interior dos poros do concreto. Equações empíricas baseadas na lei de Faraday foram utilizadas para a determinação da nova área de armadura a cada instante de tempo na análise. A teoria da confiabilidade foi aplicada adotando-se o método de simulação de Monte Carlo para a avaliação das probabilidades individuais dos modos de falha considerados. A determinação da probabilidade de falha global da estrutura seguiu um procedimento baseado no conceito de árvore de falhas. Os resultados da análise de uma viga hiperestática em concreto armado demonstram que a corrosão das armaduras pode alterar os cenários de falha, de forma que, modos de falha não importantes na fase de projeto se tornam importantes à medida que o processo corrosivo evolui.Palavras-chave: corrosão de armaduras, ingresso de cloretos, leis de Fick, confiabilidade, concreto armado, cenários de falha.

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The Synergistic Role of Additive Manufacturing and Artificial Intelligence for the Design of New Advanced Intelligent Systems

Milazzo

Libonati

2022

Advanced Intelligent Systems

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Intelligent systems are, by definition, setups that are able to adapt their features and functions for a specific set of applications. Systems intended to be "intelligent," or "smart," usually have a specific arrangement of active and passive structural components. The first class is the key of a setup and includes all those parts of a device made of materials that are activated upon a triggering stimulus (e.g., pH, heat) against nonreactive components. Smart systems, in a broader sense, also include those made of materials able to perform living-like functions, such as healing, sensing, and actuating. [1] Designing intelligent systems has pushed scientists to develop new strategies in terms of behavior enhancement and property predictability in relation to each specific application. For instance, any device intended for the biomedical sector has to comply with the challenging needs of dimensions and biocompatibility to prevent any mechanical and biological issue to living tissues. In contrast, applications for industrial robotics require high adaptability and reliability for manipulating objects and, in case of collaborative robotic operations, to ensure operator safety. While previous design approaches have included mathematical techniques like linear elastic topology optimization or level-set topology, [2] multiphysics finite-element models (FEMs) have widened the design space, giving scientists new tools to design, simulate, and predict the behavioral capabilities of complex structures, also by introducing material and geometric nonlinearities and solving multiple physics problems in parallel. Remarkable examples are the optimization of structures included in geometrical and material nonlinear environments, [3] studies on failure mechanisms difficult to observe experimentally, [4] or the development of compliant mechanisms for mechatronic and medical applications that exploit nonlinear deformations. [5] However, the traditional path of a device from the in silico design to manufacturing has two main limitations. From the design standpoint, FEMs represent a powerful tool that can handle parametric models by sweeping parameters across specific ranges of values. Yet, they cannot smartly cover the large number of design parameter combinations without an expensive computational cost. [6] This scenario is also complemented by the traditional fabrication technologies that narrow the topologies

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Nonlinear formulation based on FEM, Mazars damage criterion and Fick’s law applied to failure assessment of reinforced concrete structures subjected to chloride ingress and reinforcements corrosion

Cited by 42 publications

References 42 publications

Probabilistic analysis of chloride penetration in reinforced concrete subjected to pre-exposure static and fatigue loading and wetting-drying cycles

Probabilistic analysis of chloride penetration in reinforced concrete subjected to pre-exposure static and fatigue loading and wetting-drying cycles

Influence of reinforcement's corrosion into hyperstatic reinforced concrete beams: a probabilistic failure scenarios analysis

The Synergistic Role of Additive Manufacturing and Artificial Intelligence for the Design of New Advanced Intelligent Systems

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