Spalling of concrete subjected to blast loading

Foglar, Marek; Kovář, Martin

doi:10.1051/matecconf/20130607005

Cited by 4 publications

(5 citation statements)

References 3 publications

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“…Based on the analysis of the visible damage, concrete slabs with fibers have better resistance to blast effects, whereas concrete slabs with steel fibers are preferred due to the lower proportion of completely broken slab parts (punctured concrete) caused by the explosion. Better resistance to explosive action in concrete slabs with added fibers compared to elements without added fibers was also observed in other research [28][29][30][31][32][47][48][49][50][51] due to higher tensile and shear strength as well as higher fracture energy and better ductility. Please note that the explosion resistance of the RC slabs in this experimental study is a qualitative term that describes the RC slab resistance to destruction caused by explosives, e.g., how much the sample is damaged and how much properties such as the velocity of the ultrasonic waves through concrete are reduced.…”

Section: Comprehensive Analysis Of the Resultssupporting

confidence: 78%

Section: Visual Inspectionsupporting

confidence: 87%

“…Comparable test results were observed in previous studies [29][30][31], confirming that an increase in the proportion of polypropylene fibers leads to a reduction in the extent of damage. However, the results of the aforementioned tests showed that the addition of steel fibers did not lead to a reduction in damage [29][30][31]. This is in contrast to the results of this study, where specimens with steel fiber-reinforced concrete show less surface damage compared to specimens without fibers.…”

Section: Visual Inspectionsupporting

confidence: 87%

“…Investigations with similar parameters were carried out in the Czech Republic in cooperation with the Czech army [29][30][31]. The similarities between these two investigations can be found in the specimen geometry, the concrete strength, and the type of fibers in concrete.…”

Section: Rc Slab Specimens' Descriptionmentioning

confidence: 96%

“…Over the past two decades, numerous studies have investigated the impact of explosions on concrete with different compositions. However, the focus has mainly been on visual inspections and the assessment of external damage [28][29][30][31][32]. To carry out a more comprehensive analysis of the effects of explosives on concrete with fibers, a joint research project is carried out by the Croatian Armed Forces in cooperation with the University of Zagreb.…”

Section: Introductionmentioning

confidence: 99%

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Experimental Investigation of the Explosion Effects on Reinforced Concrete Slabs with Fibers

Kušter Marić,

Ivanović,

Fusić

et al. 2024

Buildings

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In today’s world, concrete structures are exposed to various influences, including explosive actions. With the increasing use of fiber-reinforced concrete (FRC), it is essential to investigate its response to blast effects. As there are few studies on this topic worldwide, this research is dedicated to the question of how blast effects affect the damage and properties of six different types of reinforced concrete (RC) slabs. These samples differ in concrete classes (C30/37 and C50/60) and in the type of fibers added (steel and polypropylene). Visual inspections and non-destructive measurements are carried out before and after blasting. The damaged area of the concrete surface is determined by visual inspection, while non-destructive measurements evaluate parameters such as the rebound value of the Schmidt hammer, the electrical resistivity of the concrete, the velocity of the ultrasonic wave, and the dynamic modulus of elasticity. Equal amounts of explosives are applied to five of the RC slabs to enable a comparative analysis of the resulting damage. Based on the comparison of the measured data from these five RC slabs, conclusions are drawn regarding the effects of the explosive impacts on conventionally reinforced concrete slabs compared to those with added fibers. In addition, one of the RC slabs with steel fibers is exposed to approximately three times the amount of explosives to assess the extent of increased damage and to evaluate the suitability of military standards in the calculation of explosive charges for blasting RC elements with fibers.

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Section: Comprehensive Analysis Of the Resultssupporting

confidence: 78%

Section: Visual Inspectionsupporting

confidence: 87%

Section: Visual Inspectionsupporting

confidence: 87%

Section: Rc Slab Specimens' Descriptionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Experimental Investigation of the Explosion Effects on Reinforced Concrete Slabs with Fibers

Kušter Marić,

Ivanović,

Fusić

et al. 2024

Buildings

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Numerical investigation of projectile impact behavior of hybrid fiber-reinforced concrete slabs

Abadel,

Abbas,

Siddiqui

et al. 2023

Case Studies in Construction Materials

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Breach diameter prediction of reinforced concrete wall under contact/near-contact explosives using deep neural network

Holgado,

Montalva,

Florek

et al. 2024

International Journal of Protective Structures

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In recent years, the use of Machine Learning (ML) has been expanded to several engineering fields with applications in structural engineering. Deep Neural Network (DNN) models have been widely implemented to predict the response of structural systems under conventional loading. The accuracy of these DNN models relies on the size of the dataset used, which can vary from hundreds to thousands of data points, typically formed by images, test data, and/or finite element models built for a specific environment. Such dependency becomes a limitation when DNN models are intended to be used in blast analysis and/or design, as data are typically scarce or restricted. This paper introduces the implementation of an ML/DNN model for the prediction of breach diameter of a reinforced concrete target subjected to contact and near-contact explosions. The DNN model predicts the breach diameter using experimentally collected concrete breach data. The DNN model considers several parameters related to the charge (e.g., type, geometry, orientation, casement properties) and wall target (e.g., material properties, geometry, reinforcement, fiber content), as well as proximity between the target and explosive. It was found that charge geometry, charge placement type, target thickness, scaled distance, and fiber content in the mix were important features affecting the breach diameter prediction.

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Spalling of concrete subjected to blast loading

Cited by 4 publications

References 3 publications

Experimental Investigation of the Explosion Effects on Reinforced Concrete Slabs with Fibers

Experimental Investigation of the Explosion Effects on Reinforced Concrete Slabs with Fibers

Numerical investigation of projectile impact behavior of hybrid fiber-reinforced concrete slabs

Breach diameter prediction of reinforced concrete wall under contact/near-contact explosives using deep neural network

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