Development of an inverse analysis procedure for the characterisation of softening diagrams for FRC beams and panels

Nour, Ali; Massicotte, Bruno; Montaignac, Renaud de; Charron, Jean‐Philippe

doi:10.1016/j.conbuildmat.2015.06.049

Cited by 17 publications

(22 citation statements)

References 13 publications

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“…The approach retained in this research project was to develop a dedicated software using analytical relationships relating the ó-w post-cracking response of SFRC to the load-deflection (PÀä) response of two standardised bending tests. This procedure is based on a data fitting algorithm, for which the shape of the ó-w relation is determined step-by-step in an iterative process (de Montaignac et al, 2012a;Nour et al, 2012). One important issue with regards to the data fitting techniques is the choice of the analytical response matching the ó-w relation of SFRC with the PÀä behaviour of the flexural specimen.…”

Section: Sfrc Tensile Responsementioning

confidence: 99%

Finite-element modelling of SFRC members in bending

Montaignac

Massicotte²,

Charron

2013

Magazine of Concrete Research

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This paper is aimed at understanding the mechanics of steel-fibre-reinforced concrete (SFRC) in the context of designing for structural applications. It focuses on the testing procedures adopted to obtain the tensile response of SFRC that are used in finite-element models of structural elements submitted to bending. Modelling of standardised material test specimens enabled validating the assumptions used in inverse analysis to determine the post-cracking ó-w response from bending tests on notched beams and round panels. The effect of fibre orientation, the testing procedure and the validity of standardised test are discussed. Modelling of SFRC structural beams of different scales, shapes, with and without conventional reinforcement, emphasises the importance of using non-uniform material properties within the model to correctly predict the member stiffness and strength, and the crack opening evolution.The paper confirmed that the integration point spacing must be used as the reference length for converting ó-w post-cracking response to ó2å material properties for carrying out finite-element analysis. Moreover this approach is not affected by the element size and member depth.

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Section: Sfrc Tensile Responsementioning

confidence: 99%

Finite-element modelling of SFRC members in bending

Montaignac

Massicotte²,

Charron

2013

Magazine of Concrete Research

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“…This relationship can be obtained directly by performing a uniaxial tensile test on notched specimens [ 1 ]; or, indirectly, by performing bending tests on small beams or on small slabs and by using inverse approaches [ 2 , 3 ].…”

Section: Numerical Models For Cracking In Frcmentioning

confidence: 99%

Numerical Designing of Fiber Reinforced Concrete Eco-Constructions

Rossi

2023

Materials

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This paper focuses on the use of numerical tools, as a finite elements method, to conceive fiber reinforced concrete (FRC) eco-constructions. It highlights the fact that these are the most suitable tools (much more than the Eurocodes, for example) to predict the cracking process of FRC constructions at their service limit state and, therefore, to predict their durability. Following a critical analysis of the existing finite element models for FRC cracking, it describes in more detail a probabilistic one. This model appears very suitable for providing precise information about crack openings that are inferior or equal to 300 microns. Finally, it presents an example of the use of this numerical model to optimize an FRC track slab in order to reduce its carbon footprint. This study, although partial and incomplete, shows that the best way to reduce the carbon footprint of this type of construction is to reduce its thickness.

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“…However, instead of using FEM to simulate the response, these authors used analytical models to predict the behaviour of 3PNBBT and RPT. Nour and his co-workers [7] have also proposed an IA procedure based on a ''window-by-window'' strategy in which the experimental curve is subdivided in three main regions, and the numerical response is fitted to the experimental results in each region of the curve. In this way, each point fitted to the experimental response allows the determination of a point in the 𝜎 𝑐𝑡 − w relationship.…”

Section: 𝑃 𝑑𝑒𝑣mentioning

confidence: 99%