Flexural Response of Reinforced Concrete Beams Strengthened with Near-Surface-Mounted Fe-Based Shape-Memory Alloy Strips

Hong, Ki-Nam; Lee, Sugyu; Yeon, Yeong-Mo; Jung, Kyoung-Hwa

doi:10.1186/s40069-018-0279-y

Cited by 47 publications

(22 citation statements)

References 29 publications

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“…Among this lattice model, it is noted that the beams or rods between aggregate zones (represented by beams or rods with the aggregate properties) and mortar (also represented by beams or rods but with different properties to distinguish from the aggregates) are regarded as the interface beams or rods, which are characterized by interface models. Indeed we could establish reinforced concrete models by DMM, as did in [41,42,43], to investigate the behaviors of reinforced concrete beams. Furthermore, we could also construct beam-particle models to study cracking process in concrete by DMM combined with discrete element methods such as in [44,45].…”

Section: The Dot Matrix Methods Of Aggregate Placementmentioning

confidence: 99%

Implementation of Numerical Mesostructure Concrete Material Models: A Dot Matrix Method

Xie

Feng

2019

Materials

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We develop a dot matrix method (DMM) using the principles of computational geometry to place aggregates into matrices for the construction of mesolevel concrete models efficiently and rapidly. The basic idea of the approach is to transform overlap detection between polygons (or polyhedrons) into checking the possibility of any intersection between the point sets within a trial placement aggregate and the already placed ones in mortar. Through the arithmetic operation of integer point sets, the efficiency of the underlying algorithm in the dot matrix method is higher. Our parking algorithm holds several advantages comparing with the conventional placement issues. First, it is suitable for arbitrary-shape aggregate particles. Second, it only needs two sets for examining if the overlap between a trial placement aggregate and the already placed ones. Third, it accurately places aggregates according to aggregate grading curves, by order of reduction, led to more efficiently reducing aggregate placement time. The present method is independent of the size of aggregate particles. Combing with 3D laser scanning technology, the present method can also be used to create mesostructure concrete models conveniently and flexibly. Several examples show that DDM is a robust and valid method to construct mesostructure concrete models.

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Section: The Dot Matrix Methods Of Aggregate Placementmentioning

confidence: 99%

Implementation of Numerical Mesostructure Concrete Material Models: A Dot Matrix Method

Xie

Feng

2019

Materials

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“…Recently, SMAs, a class of metallic smart materials with different diameters and compositions (Abdulridha and Palermo, 2017; Fang et al, 2019; Mas et al, 2017; Navarro-Gómez and Bonet, 2019; Pareek et al, 2018), are emerging as an effective option for prestressing concrete (PC) structures, thanks to a unique microstructurally based thermomechanical phenomenon of SMA known as shape memory effect (SME) (Czaderski et al, 2014; Deng et al, 2006; El-Tawil and Ortega-Rosales, 2004; Hong et al, 2018; Li et al, 2007; Rius et al, 2017; Rojob and El-Hacha, 2017; Sawaguchi et al, 2006; Shahverdi et al, 2016; Soroushian et al, 2001; Zerbe et al, 2017). SME is described as the ability of SMA to recover its original shape, when heated, after being subjected to extreme deformation beyond the elastic range.…”

Section: Concrete Prestressing Using Smasmentioning

confidence: 99%

Local strengthening and repair of concrete bridge girders using shape memory alloy precast prestressing plate

Zhao

Andrawes

2020

Journal of Intelligent Material Systems and Structures

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Whether due to accidents, natural hazards, or harsh environmental conditions, concrete structures and bridges, in particular, experience local damages throughout their service life. Based on their severity, these damages can compromise the integrity of the structure. External prestressing is often used as an effective strengthening or repair technique for vulnerable or damaged structures, respectively. However, applying external prestressing in local regions of the structure with limited space can be problematic and not feasible for conventional prestressing techniques. This study investigates an innovative method for applying external prestressing in local regions of bridge girders using externally mounted precast prestressing plate reinforced with shape memory alloy wires. A thin mortar plate with embedded curved shape memory alloy wire was experimentally tested to validate the proposed prestressing concept. Afterward, finite element analysis was performed on a concrete bridge girder to numerically investigate the performance of shape memory alloy precast prestressing plate in enhancing the shear and flexural behavior of the girder. Experimental and numerical results evidently demonstrated the feasibility and effectiveness of the innovative method in strengthening and repairing concrete structures through external local prestressing.

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“…A SMA can restore its shape through heating and cooling (activation) despite the occurrence of plastic deformation [ 13 , 14 ]. If pretensioned SMA is activated while its deformation is restrained, it cannot return to its original state, and compressive stress, referred to as recovery stress, is generated in it [ 15 ]. When the pretensioned SMA embedded in concrete is activated, recovery stress is generated as the recovery of deformation is inhibited by the bonding force between the SMA and the surrounding concrete.…”

Section: Introductionmentioning

confidence: 99%

Shear Performance of RC Beams Reinforced with Fe-Based Shape Memory Alloy Stirrups

Yeon

Hong

2022

Materials

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In this study, the shear performance of a reinforced concrete (RC) beam with Fe-based shape memory alloy (Fe-SMA) stirrups was evaluated experimentally and analytically. Five specimens that had a possibility of shear failure under four-point loading were prepared. The major experimental variables were the spacings (300 and 200 mm) between the Fe-SMA stirrups and whether the stirrups were activated or non-activated. The shear strength of the specimen reinforced with the Fe-SMA stirrups at a spacing of 200 mm was 27.1% higher than that of the specimen reinforced at a spacing of 300 mm. The activation of the Fe-SMA stirrups, which produced active confining pressure, increased the shear strength by up to 7.6% and decreased the number of shear cracks compared to the case of the non-activated specimen. Therefore, the use of Fe-SMA stirrups could significantly improve the usability of concrete members by increasing their shear strength and initial stiffness and by controlling crack formation. Furthermore, finite element method (FEM) analysis was conducted using LS-DYNA, a commercial software program, to predict the shear performance of the RC beam reinforced with the Fe-SMA stirrups. The ultimate load and displacement of each specimen were predicted with errors less than 1.4 and 9.4%, respectively. Furthermore, the FEM predicted the change in failure mode and the stiffness improvement due to the activation of the Fe-SMA stirrups. Therefore, the proposed finite element analysis model can effectively predict the behavior of an RC beam reinforced with Fe-SMA stirrups.

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Flexural Response of Reinforced Concrete Beams Strengthened with Near-Surface-Mounted Fe-Based Shape-Memory Alloy Strips

Cited by 47 publications

References 29 publications

Implementation of Numerical Mesostructure Concrete Material Models: A Dot Matrix Method

Implementation of Numerical Mesostructure Concrete Material Models: A Dot Matrix Method

Local strengthening and repair of concrete bridge girders using shape memory alloy precast prestressing plate

Shear Performance of RC Beams Reinforced with Fe-Based Shape Memory Alloy Stirrups

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