Influence of transverse reinforcement on perforation resistance of reinforced concrete slabs under hard missile impact

Orbović, Nebojša; Sagals, Genadijs; Blahoianu, Andrei

doi:10.1016/j.nucengdes.2015.06.007

Cited by 26 publications

(15 citation statements)

References 2 publications

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“…The data of missile impact tests on RC panels were collected from the literature from 1978 to 2017 [39][40][41][42][43][44][45][46][47][48][49][50][51][52]. It consisted of 254 instances classified into four output investigating the effect of local impact on an RC target [19,38].…”

Section: Data Pre-processingmentioning

confidence: 99%

A hybrid model for predicting missile impact damages based on k-nearest neighbors and Bayesian optimization

Doan

Thai

Tran

2020

STCE

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Due to the increase of missile performance, the safety design requirements of military and industrial reinforced concrete (RC) structures (i.e., bunkers, nuclear power plants, etc.) also increase. Estimating damage levels in the design stage becomes a crucial task and requires more accuracy. Thus, this study proposed a hybrid machine learning model which is based on k-nearest neighbors (KNN) and Bayesian optimization (BO), named as BO-KNN, for predicting the local damages of reinforced concrete (RC) panels under missile impact loading. In the proposed BO-KNN, the hyperparameters of the KNN were optimized by using the BO which is a well-established optimization algorithm. Accordingly, the KNN was trained on an experimental dataset that consists of 254 impact tests to predict four levels (or classes) of damages including perforation, scabbing, penetration, and no damage. Due to the unbalance of the number of tests in each damage class, an over-sampling technique called BorderlineSMOTE was employed as a balancing solution. The predictability of the proposed model was investigated by comparing with the benchmark models including non-optimized KNN, multilayer perceptron (MLP), and decision tree (DT). Accuracy, F1-score, and area under the receiver operating characteristic (ROC) curve (AUC) were utilized to evaluate the performance of these models. The implementation results showed that the proposed BO-KNN model outperformed the other benchmark models with the average class accuracy of 68.05%, F1-score = 0.641, and AUC = 85.8%. Thus, the proposed model can be introduced as a foundation for developing a tool for predicting the local damage of RC panels under the missile impact in the future. Keywords: impact damage; k-nearest neighbors; Bayesian optimization; oversampling; imbalanced data; RC panel.

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Section: Data Pre-processingmentioning

confidence: 99%

A hybrid model for predicting missile impact damages based on k-nearest neighbors and Bayesian optimization

Doan

Thai

Tran

2020

STCE

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“…Several researchers (Ågårdh, 1997;Cotsovos and Pavlovic, 2008;Georgin and Reynouard, 2003;Li et al, 2015b;Orbovic et al, 2015;Othman and Marzouk, 2018;Smith et al, 2014) stated that the strain rate effect of concrete-like material is dominated by the inertia and confinement effects, especially at higher levels of loading rate. The characteristics of cracking patterns and crack propagation for concrete materials are enhanced under higher rates of loading (Li et al, 2015b;Smith et al, 2014).…”

Section: Materials Constitutive Models For Femmentioning

confidence: 99%

“…Thus, the DIF in its current form can only be reasonably applied to concrete ranging in strength from 35 to 70 MPa, and DIF should be reduced for higher concrete strength (Kong et al, 2017;Smith et al, 2014) and it will tend to overestimate the strength of the confined concrete (Ågårdh, 1997;Cotsovos and Pavlovic, 2008;Georgin and Reynouard, 2003;Orbovic et al, 2015), FRC (Li et al, 2015b;Musmar, 2013;Zhou and Hao, 2008) or concrete with different properties and microstructure than the traditional concrete (Bhusari and Gumaste, 2017;Li et al, 2015b;Smith et al, 2014). Thus, including the strain rate effect in the modelling of UHP-FRC under blast loading would result in overestimating the capacity and the response (Li et al, 2015b).…”

Section: Materials Constitutive Models For Femmentioning

confidence: 99%

Design guidelines and optimization of ultra-high-performance fibre-reinforced concrete blast protection wall panels

Sherif

Othman

Marzouk

et al. 2020

International Journal of Protective Structures

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Ultra-high-performance fibre-reinforced concrete is the latest generation of structural concrete, having outstanding fresh and hardened properties; this includes the ease of placement and consolidation with ultra-high mechanical properties, as well as toughness, volume stability, durability, higher flexural and tensile strength, and ductility. As more research is being focused on it, the material behaviour and characteristics are getting more understood, and the research demand for the special applications of the ultra-high-performance fibre-reinforced concrete is growing higher. One special application that ultra-high-performance fibre-reinforced concrete is thought to have an outstanding performance at is in the field of protective structures, specifically against blast loads. This article presents part of a study that is concerned with the behaviour and response of ultra-high-performance fibre-reinforced concrete wall panels under blast load. Size and shape optimization techniques were combined in this study to optimize the design of a 200-MPa ultra-high-performance fibre-reinforced concrete under blast loads using finite element modelling. This design optimization aims to maximize stiffness and minimize the cost while satisfying both design stresses and construction requirements. The design variable to be optimized for are the thickness ranging from 100 to 300 mm at 25 mm increments, in addition to the reinforcement ratio of 0%, 0.2%, 1% and 3%, and aspect ratio of 1, 1.5 and 2; the boundary condition is four edges fixed and restrained. The numerical simulation has been performed using an explicate finite element software package. The complete behaviour of an ultra-high-performance fibre-reinforced concrete is defined using the concrete damaged plasticity model. The concrete constitutive model has been developed considering the contribution of tensile hardening response, fracture energy and crack-band width approaches to accurately represent the tensile behaviour and guarantee mesh independence of results. The blast load is applied using the Conventional Weapons method of the US Army Corps of Engineers that is readily available in the finite element software. The validity of the numerical model used is verified by comparing numerical results to experimental data.

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“…For the investigation of reinforced concrete (RC) structures under impact load in laboratory tests, displacements, deformations and support forces, accelerations or general descriptions of the observed damage are often used [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 ]. The measured data are analyzed, evaluated, compared and often subsequently used for further investigations, e.g., for numerical simulations of the experiment [ 12 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

Reinforced Concrete Plates under Impact Load—Damage Quantification

Hering¹,

Bracklow²,

Scheerer³

et al. 2020

Materials

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A large number of impact experiments have been carried out at the Technische Universität Dresden in recent years in several research projects. The focus was on reinforced concrete plates on the one hand and on subsequently strengthened reinforced concrete plates on the other hand. Based on these investigations, two fundamental tasks arose: (1) finding an objective description of the damage of components made of steel reinforced concrete that had previously been subjected to an impact load and (2) quantification of the effect of a subsequently applied strengthening layer. In this paper we will focus on both. At first, the experimental conditions and program as well as the used drop tower facility at the Otto Mohr Laboratory of the Technische Universität Dresden are briefly explained. In the summary presentation of the main test results, the focus is on the observed component damage. Based on the observations, an approach for a damage description is presented. To define global damage, the stiffness of the investigated structural components before and after the impact event is used. At the end of the paper, the potential of the method, but also gaps in knowledge and research needs are discussed.

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Influence of transverse reinforcement on perforation resistance of reinforced concrete slabs under hard missile impact

Cited by 26 publications

References 2 publications

A hybrid model for predicting missile impact damages based on k-nearest neighbors and Bayesian optimization

A hybrid model for predicting missile impact damages based on k-nearest neighbors and Bayesian optimization

Design guidelines and optimization of ultra-high-performance fibre-reinforced concrete blast protection wall panels

Reinforced Concrete Plates under Impact Load—Damage Quantification

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