Flexural and compressive residual strength of composite bars subjected to harsh environments

Tomasz, Malatyński; Duda, Szymon; Babiarczuk, Bartosz; Warycha, J.; Zielonka, Paweł; Lesiuk, Grzegorz

doi:10.1016/j.engfailanal.2021.105958

Cited by 7 publications

(3 citation statements)

References 16 publications

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“…The permeability of a rock mass is a parameter with a very wide range of variability due to a large number of influencing factors, especially the spatial heterogeneity of the discontinuities for fractured rock [18]. Sometimes, even despite similar filtration parameters of the aquifer, groundwater flows may be characterized by significant differences in terms of flow paths and flow characteristics of individual streams of water [19]. Different factors may have different effects on the calculation of groundwater inflow into a tunnel.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Parameter Calibration of an Analytical Model to Predict Transient Groundwater Inflow into a Tunnel

Zhang

Xia

Qiang

et al. 2023

Water

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The use of either analytical or numerical models of groundwater inflow into a tunnel, ignoring the excavation process, will result in inaccurate prediction. More researchers have begun to study prediction methods with temporal and spatial variables, in accompaniment with the tunnel excavation progress. The hydrogeological parameters significantly affect tunnel inflow prediction; thus, it is always worthy to carry out an inversion analysis when the inflow rate observation is available for the excavated part of a tunnel. Based on a transient analytical model and the Trust Region Reflection (TRR) algorithm, this paper proposes a Dynamic Parameter Calibration (DPC) method to sequentially optimize parameters for a tunnel that is divided into several sectors. The results of two case studies indicate that the fitting effects by DPC are significantly improved compared with the empirical trial-and-error method, indicating good optimizations. The proposed scheme can conduct calibration simultaneously for multiple tunnel sectors and also several optimizations for the same sector. The parameter optimization results reflect the lithologic heterogeneity of different strata. Parameter sensitivity analysis proves that the hydraulic conductivity K has a greater influence on water inflow calculation than the specific storage coefficient S.

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Section: Introductionmentioning

confidence: 99%

Dynamic Parameter Calibration of an Analytical Model to Predict Transient Groundwater Inflow into a Tunnel

Zhang

Xia

Qiang

et al. 2023

Water

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“…In the present paper, the flexural behaviour of FRP bars is analysed through experimental and numerical approaches. The flexural behaviour of FRP bars under three-point bending and fourpoint bending has been evaluated in several studies that can be found in the literature [1,2,9,10] for quality control, specifications and durability analyses, following the prescription of the ASTM D790-17 standard [11], ASTM 4476 standard [12] and CSA S807-10 standard [13].…”

Section: Introductionmentioning

confidence: 99%

Investigation of flexural behaviour of composite rebars for concrete reinforcement with experimental, numerical and machine learning approaches

Smolnicki,

Lesiuk,

Stabla

et al. 2023

Phil. Trans. R. Soc. A.

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Three different types (with glass, basalt and hybrid fibres) of composite rebars manufactured using the pultrusion process were loaded in four-point bending tests. All tests were carried out with acoustic emission sensors to better understand the mechanisms of damage. The data obtained were investigated using standard parameter analysis and also using unsupervised machine learning techniques called K-means. It was found that the best number of clusters is four or five. The numerical model using the finite-element method was calibrated on the basis of the experimental data. Further research will focus on numerical modelling of flexural behaviour of concrete beams reinforced with the presented composite rebars. The presented paper focuses on the characterization of the mechanical properties of composite rebars using a micromechanical approach, as well as analysis of progression damage processes appearing under flexural loading, using different perspectives provided by techniques such as acoustic emission analysis with machine learning-based clustering and numerical simulations. The presented research confirms that the proposed experimental–numerical approach can be applied in order to describe the flexural behaviour of Fibre Reinforcement Polymer (FRP) rods, which is relevant for investigating more complex cases of FRP concrete structures. This article is part of the theme issue 'Physics-informed machine learning and its structural integrity applications (Part 1)'.

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“…As the application field for marine composites widens, the request for mechanical and environmental resilience rises. Limit stress states, durability and life span, failure modes, fracture toughness, fire resistance, and environment influence parameters are crucial for an efficient, sustainable, and secure design process for structures in this demanding industry sector [18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Prediction of the Deterioration of FRP Composite Properties Induced by Marine Environments

Vizentin

Vukelić

2022

JMSE

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In this paper, a model for the prediction of fatigue life degradation of fiber-reinforced (FRP) composite materials exposed for prolonged periods to real marine environments is proposed. The data collected during the previous phases of a more comprehensive research of real marine environment-induced changes of mechanical properties in FRP composites are used to assess the influence of these changes on the durability characteristics of composites. Attention is paid to the classification societies’ design and exploitation rules on this matter. The need for the modification of the process used for obtaining composite material S–N curves, considering the influence of the marine environment, is studied. A regression analysis of the experimental data is conducted, resulting in a mathematical model of strength degradation over time. The regression analysis shows an acceptable correlation value. The S–N curves for E-glass/polyester composites with three different fiber layout configurations are evaluated and modified to encompass the findings of this research.

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Flexural and compressive residual strength of composite bars subjected to harsh environments

Cited by 7 publications

References 16 publications

Dynamic Parameter Calibration of an Analytical Model to Predict Transient Groundwater Inflow into a Tunnel

Dynamic Parameter Calibration of an Analytical Model to Predict Transient Groundwater Inflow into a Tunnel

Investigation of flexural behaviour of composite rebars for concrete reinforcement with experimental, numerical and machine learning approaches

Prediction of the Deterioration of FRP Composite Properties Induced by Marine Environments

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