Predicting Time-Dependent Behavior of Post-Tensioned Concrete Beams: Discrete Multiscale Multiphysics Formulation

Abdellatef, Mohammed; Vorel, Jan; Wan‐Wendner, Roman; Alnaggar, Mohammed

doi:10.1061/(asce)st.1943-541x.0002345

Cited by 8 publications

(3 citation statements)

References 57 publications

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“…For these reasons, the discrete approaches are more effective compared to continuum approaches, yet of course they are more computationally demanding. Based on the authors experience in using both the discrete (1D conduit) scheme and the FE continuum (3D tetrahedral elements) scheme in many previous research applications concerning aging, creep, shrinkage and Alkali Silica Reaction (ASR) problems [32,33,34,35,36], they noticed that the discrete mesh requires no more than 50% of computational time compared to continuum mesh with similar refinement. This difference has not been quantitatively evaluated but the authors have consistently observed it in their work.…”

Section: Significance Of the Proposed Researchmentioning

confidence: 99%

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Coupled multi-physics simulation of chloride diffusion in saturated and unsaturated concrete

Zhang

Luzio

Alnaggar

2021

Construction and Building Materials

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Chloride-induced corrosion of steel reinforcement is one of the major long-term deterioration mechanisms for reinforced concrete infrastructures. Chloride transport through cement-based materials is a complex chemo-physical process involving ionic diffusion in concentrated solution, pore structure, chemistry, membrane permeability of the matrix, cracking, and the variation of the internal and external environmental conditions. Although in the literature there are plenty of both simplistic phenomenological models and sophisticated models, in this study, a new model is developed taking aim at capturing the fundamental physics and, at the same time, having a formulation as simple as possible that it can be effectively calibrated and validated using available limited experimental data. The model couples the ionic diffusion process with the concrete micro-structure evolution due to continued hydration accounting for hygro-thermal variations and their effects on both the diffusion and hydration processes. The formulation is implemented in a semi-discrete conduit transport network that mimics the internal heterogeneity of the cementitious material by connecting the matrix space between coarse aggregate pieces. This allows the model to replicate naturally the meso-scale tortuosity effect which is an important feature towards representing realistically the heterogeneity-induced variations of chloride concentration within the concrete. The limited model parameters are carefully calibrated and the formulation is validated by simulating multiple experiments ranging from diffusion through pastes to large concrete cylinders. The results of numerical simulations show the ability of the model to describe spatial and temporal evolution of the chloride concentration within the samples under varying chloride concentrations and temperature boundary conditions within both saturated and 1 unsaturated concrete.

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Section: Significance Of the Proposed Researchmentioning

confidence: 99%

“…For details on the calibration and validation of this theory see [39]. This model was coupled in many research works with LDPM to successfully represent and predict concrete long term behavior under coupled shrinkage, creep, ASR degradation [76,77,34,35,36,78,79,32,33].…”

Section: Coupling With the Htc Modelmentioning

confidence: 99%

Coupled multi-physics simulation of chloride diffusion in saturated and unsaturated concrete

Zhang

Luzio

Alnaggar

2021

Construction and Building Materials

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“…Since creep and shrinkage depend on temperature and humidity, to consider differential effects associated with temperature and humidity gradients requires solving for the temperature and humidity fields in the structure, which can be difficult if appropriate boundary and initial conditions are uncertain. State-of-the-art comprehensive numerical modeling includes thermo-chemical effects that impact creep and shrinkage [ 21 , 22 , 23 ], but such numerical approaches are computationally intensive even for small domains, and still require the use of empirical compliance, shrinkage, and chemical reaction models. The level of geometric detail that includes aggregate geometry, used in the state-of-the-art numerical models is not typically available for real structures.…”

Section: Introductionmentioning

confidence: 99%

Physics-Informed Data-Driven Prediction of 2D Normal Strain Field in Concrete Structures

Pereira¹,

Glišić²

2022

Sensors

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Concrete exhibits time-dependent long-term behavior driven by creep and shrinkage. These rheological effects are difficult to predict due to their stochastic nature and dependence on loading history. Existing empirical models used to predict rheological effects are fitted to databases composed largely of laboratory tests of limited time span and that do not capture differential rheological effects. A numerical model is typically required for application of empirical constitutive models to real structures. Notwithstanding this, the optimal parameters for the laboratory databases are not necessarily ideal for a specific structure. Data-driven approaches using structural health monitoring data have shown promise towards accurate prediction of long-term time-dependent behavior in concrete structures, but current approaches require different model parameters for each sensor and do not leverage geometry and loading. In this work, a physics-informed data-driven approach for long-term prediction of 2D normal strain field in prestressed concrete structures is introduced. The method employs a simplified analytical model of the structure, a data-driven model for prediction of the temperature field, and embedding of neural networks into rheological time-functions. In contrast to previous approaches, the model is trained on multiple sensors at once and enables the estimation of the strain evolution at any point of interest in the longitudinal section of the structure, capturing differential rheological effects.

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A hybrid approach for prediction of long-term behavior of concrete structures

Pereira

Glišić

2022

J Civil Struct Health Monit

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Predicting Time-Dependent Behavior of Post-Tensioned Concrete Beams: Discrete Multiscale Multiphysics Formulation

Cited by 8 publications

References 57 publications

Coupled multi-physics simulation of chloride diffusion in saturated and unsaturated concrete

Coupled multi-physics simulation of chloride diffusion in saturated and unsaturated concrete

Physics-Informed Data-Driven Prediction of 2D Normal Strain Field in Concrete Structures

A hybrid approach for prediction of long-term behavior of concrete structures

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