Analytical and numerical studies on impact force profile of RC beam under drop weight impact

Li, Huawei; Chen, Wensu; Pham, Thong M.

doi:10.1016/j.ijimpeng.2020.103743

Cited by 102 publications

(21 citation statements)

References 51 publications

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“…An analytical spring-mass model for RC beams subjected to impact loads should be derived by taking into consideration both the local and global responses. By considering both local and global response, an analytical method proposed by Li et al (2021) provides close prediction to the experimental testing. The analytical model adopted the penalty contact algorithm for the local stiffness of a flat-head projectile (LS-Dyna, 2012) while the Hertz contact model is utilized for curved-head projectiles (Machado et al, 2012).…”

Section: Analytical Investigationsmentioning

confidence: 93%

Review on impact response of reinforced concrete beams: Contemporary understanding and unsolved problems

Pham

Chen

2021

Advances in Structural Engineering

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Designing protective reinforced concrete (RC) beams against impact loadings is a challenging task. It requires a comprehensive understanding of the structural response of RC beams subjected to impact loads. Significant research efforts have been spent to unveil the impact response of RC beams by using analytical models, experimental testing, or numerical investigations. However, these studies used various assumptions in the analytical derivations and different test setups in the impact testing, which led to significantly different responses and observations of similar structures and similar loading conditions. For example, a minor change in contact surface can triple the maximum impact force of identical RC beams. This study provides a review of the contemporary understandings of the RC beam responses to impact loads, and explains the different observations and conclusions. Some unsolved issues for protective structures, that is, RC beams to resist impulsive loads are also discussed. It is suggested that future studies should take into consideration the conditions of the test setup, simplifications and assumptions made in analytical derivations for better interpretations of the obtained results.

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Section: Analytical Investigationsmentioning

confidence: 93%

Review on impact response of reinforced concrete beams: Contemporary understanding and unsolved problems

Pham

Chen

2021

Advances in Structural Engineering

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“…Accordingly, the duration of the sinusoidal half-wave tended to be prolonged with decreasing amplitude except for Beam N-F0: approximately 20 and 25 ms for Beams P-F2 and P-F3.5 and Beams P-F1 and H-F2, respectively. Based on the numerical study reported by Li et al (2021), these results imply that Beams P-F2 and P-F3.5 had the largest global stiffness and that Beam N-F0 had the smallest stiffness. The duration in the case of Beam N-F0 was approximately 20 ms, similar to those of Beams P-F2 and P-F3.5.…”

Section: Experimental Results For Impact Loadingmentioning

confidence: 66%

“…The durations of the force plateau for Beams P-F2 and P-F3.5 were similar compared with that at H = 1 m and lasted for approximately 5 ms. This implies that these global stiffnesses may be decreased by impacting with a greater energy (Li et al, 2021). On the other hand, the durations of the force plateau for Beams P-F1 and H-F2 at H = 1.5 m were shortened by approximately 10 ms compared to those at H = 1 m. This may be because the beams reached the unloading state earlier due to their lower rebars breaking, as described below.…”

Section: Experimental Results For Impact Loadingmentioning

confidence: 99%

Impact resistance of porosity-free fiber-reinforced concrete (PFFRC) beams under low-velocity impact loading

Kıshı

Komuro

Kono³

et al. 2022

International Journal of Protective Structures

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Ultrahigh-performance fiber-reinforced concrete (UHPFRC) is an advanced cement-based composite material. Its ultrahigh compressive strength and high ductility can enable the downsizing of structural members, with special application to high-rise buildings. These excellent mechanical properties also allow its application in protective structures to resist high-speed penetration, low-velocity impact, and blast loading. UHPFRC with a compressive strength of approximately 150–200 MPa has traditionally been used to investigate the impact resistance of structural members under low-velocity impact loading. Recently, however, porosity-free concrete of the 400 MPa class of compressive strength has been developed. In this paper, to investigate the effects of the concrete strength and the steel fiber volume fraction on the impact resistance of porosity-free fiber-reinforced concrete (PFFRC) members, static and drop-weight impact loading tests were conducted on PFFRC beams by varying the volume fraction of steel fiber from 1 to 3.5%. As reference beams, 90 MPa high-strength fiber-reinforced concrete (HSFRC) beams with a 2% fiber volume fraction and normal-strength concrete (NSC) beams without stirrups and steel fibers were also tested. The results obtained from this study were as follows: (1) the static load-carrying capacity of a PFFRC beam can be enhanced by more than two and three times that of an NSC beam by adding 1 and 3.5% volume fractions of steel fiber, respectively; (2) a PFFRC beam with 3.5% fiber had the greatest impact resistance of all the beams considered in this study, and the beam with 2% fiber volume had the second-greatest performance, but the difference was small; (3) even though an HSFRC beam with 2% fiber had a smaller static load-carrying capacity than a PFFRC beam with 1% fiber, the former exhibited a slightly greater impact resistance than the latter because the bridging effect of the steel fibers has a greater influence under impact loading than under static loading.

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“…For numerical simulations, LS-DYNA finite element software was used. LS-DYNA is an explicit code and more preferable for the impact analysis; 43–45 but in this code, it is possible to do a quasi-static analysis by running a regular explicit simulation, invoking the mass-scaling option as necessary to crank out the results in a reasonable timeframe, but this approach can be tricky. You have to keep an eye on the kinetic energy in the system as you want to minimize the inertial effects.…”

Section: Numerical Simulationsmentioning

confidence: 99%

Optimization of performance in multi-cell beams with different surface slopes for use in vehicle structure using a multi-objective evolutionary algorithm based on decomposition

Chahardoli

Ahmadi²,

Tran

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part L:

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This study examined the effect of the upper surface slope and the number of cells in the side beams on the collapse properties using experimental and numerical tests. The numerical studies were conducted with LS-DYNA software, and the accuracy of numerical results was investigated by experimental tests. Using MATLAB software, the second-degree polynomial functions were obtained for the collapse properties of the specimens. Also, after the optimization by the decomposition method, the best mode was introduced for the specimens. The studies on collapse properties showed that increasing the number of cells leads to a decrease in all collapse properties, and increasing the upper surface slope leads to an increase in the collapse properties. Moreover, the optimization results by decomposition method showed that this method could suggest the most optimal model for multi-cell and sloping beams.

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Analytical and numerical studies on impact force profile of RC beam under drop weight impact

Cited by 102 publications

References 51 publications

Review on impact response of reinforced concrete beams: Contemporary understanding and unsolved problems

Review on impact response of reinforced concrete beams: Contemporary understanding and unsolved problems

Impact resistance of porosity-free fiber-reinforced concrete (PFFRC) beams under low-velocity impact loading

Optimization of performance in multi-cell beams with different surface slopes for use in vehicle structure using a multi-objective evolutionary algorithm based on decomposition

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