Numerical Method for Predicting the Blast Wave in Partially Confined Chamber

Xu, Wei; Kong, Xiangshao; Cheng, Zheng; Wu, Weiguo

doi:10.1155/2018/2530239

Cited by 4 publications

(3 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, a conical-shaped charge is defined in geometrical terms as a 3D solid with rectangular or cylinder shapes with a negative conical cavity at one face [20,21]. Liu et al [22] numerically characterized the blast effects produced by the detonation of a shaped charge with a conic and semi-elliptical cavity; see Figure 1c.…”

Section: Theory and Technical Context Of Blast Shock Wavesmentioning

confidence: 99%

Characterization of Blast Wave Parameters in the Detonation Locus and Near Field for Shaped Charges

Mejía

Mejía²,

Toulkeridis

2022

Mathematics

View full text Add to dashboard Cite

Understanding physical phenomena such as blast shock waves produced by controlled explosions are relevant for issues appearing in the fields of military and civilian activities. The current study analyzes detonations of cylindrical and 3D cone-shaped charges through experimental trials and numerical simulations. In order to accomplish such goals, the work is divided into three sections, which include (a) numerical studies on spherical charges to define an accurate model; (b) numerical and experimental studies to assess the influence of cylindrical and 3D cone-shaped charges on incident peak pressure and the shape of shock wave propagation; and (c) numerical studies to define the magnitude of incident peak pressure as a function of orientation, L/D aspect ratio and scaled distance. Validation studies proved that the applied model was reasonably accurate. Furthermore, relevant findings included the observation that when the L/D aspect ratio decreases, more release energy is concentrated in the axial direction for a 3D cone-shaped charge, while as the aspect ratio increases, more release energy is concentrated in the radial direction for a cylindrical-shaped charge. Additionally, the blast shock wave produced a great quantity of energy for the explosive charge with the largest surface. Finally, the orientation has less influence than the L/D aspect ratio on the incident pressure contours. Therefore, cylindrical charges have the potential of inflicting great damage when used as confined charges, and 3D charges are able to cut solid materials in case of a direct contact.

show abstract

Section: Theory and Technical Context Of Blast Shock Wavesmentioning

confidence: 99%

Characterization of Blast Wave Parameters in the Detonation Locus and Near Field for Shaped Charges

Mejía

Mejía²,

Toulkeridis

2022

Mathematics

View full text Add to dashboard Cite

show abstract

“…In situations where multiple field tests are not suitable, mathematical modelling presents a means of obtaining predictions for an unbounded range of scenarios, however experimental data is still required to rigorously validate these numerical approaches. A study by Xu et al (2018) developed codes for 1D, 2D and 3D models based on finite difference schemes to analyse various test problems. The 3D code was then validated against experimental data for a confined chamber to Remennikov and Rose (2007).…”

Section: Literature Reviewmentioning

confidence: 99%

Prediction of blast loading in an internal environment using artificial neural networks

Dennis

Pannell

Smyl

et al. 2020

International Journal of Protective Structures

View full text Add to dashboard Cite

Explosive loading in a confined internal environment is highly complex and is driven by nonlinear physical processes associated with reflection and coalescence of multiple shock fronts. Prediction of this loading is not currently feasible using simple tools, and instead specialist computational software or practical testing is required, which are impractical for situations with a wide range of input variables. There is a need to develop a tool which balances the accuracy of experiments or physics-based numerical schemes with the simplicity and low computational cost of an engineering-level predictive approach. Artificial neural networks (ANNs) are formed of a collection of neurons that process information via a series of connections. When fully trained, ANNs are capable of replicating and generalising multi-parameter, high-complexity problems and are able to generate new predictions for unseen problems (within the bounds of the training variables). This article presents the development and rigorous testing of an ANN to predict blast loading in a confined internal environment. The ANN was trained using validated numerical modelling data, and key parameters relating to formulation of the training data and network structure were critically analysed in order to maximise the predictive capability of the network. The developed network was generally able to predict specific impulses to within 10% of the numerical data: 90% of specific impulses in the unseen testing data, and between 81% and 87% of specific impulses for data from four additional unseen test models, were predicted to this accuracy. The network was highly capable of generalising in areas adjacent to reflecting surfaces and as those close to ambient outflow boundaries. It is shown that ANNs are highly suited to modelling blast loading in a confined internal environment, with significant improvements in accuracy achievable if a robust, well distributed training dataset is used with a network structure that is tailored to the problem being solved.

show abstract

“…On the side of the input blast pressure, the calculation stage often requires major efforts but can take advantage of advanced numerical tools [44][45][46][47][48]. e intrinsic flexibility of computer codes can efficiently support the analysis of general explosive scenarios.…”

Section: Introductionmentioning

confidence: 99%

Numerical Analysis of the Blast Wave Propagation due to Various Explosive Charges

Figuli

Čekerevac

Bedon

et al. 2020

Advances in Civil Engineering

View full text Add to dashboard Cite

Blast events and scenarios, as known, represent extreme phenomena that may result in catastrophic consequences, both for humans and structures. Accordingly, for engineering applications, the reliable description of expected blast waves is a crucial step of the overall design process. Compared to ideal theoretical formulations, however, real explosive events can be strongly sensitive to a multitude of parameters and first of all to the basic features (size, type, shape, etc.) of the charge. In this regard, several advanced computer codes can be used in support of design and research developments. Besides, the input parameters and solving assumptions of refined numerical methods are often available and calibrated in the literature for specific configurations only. In this paper, with the support of the ANSYS Autodyn program, special care is dedicated to the numerical analysis of the blast wave propagation in the air due to several charges. Five different explosives are taken into account in this study, including RDX, DAP-2, DAP-E, Polonit-V, and homemade ANFO. The effects of different mixtures are thus emphasized in terms of the predicted blast wave, as a function of a given control point, direction, explosive mass, and composition. As shown, relatively scattered peak pressure estimates are collected for a given explosive. Comparative results are hence proposed towards selected experimental data of the literature, as well as based on simple analytical predictions. The collected overpressure peak values are thus discussed for the selected explosive charges.

show abstract

Numerical Method for Predicting the Blast Wave in Partially Confined Chamber

Cited by 4 publications

References 17 publications

Characterization of Blast Wave Parameters in the Detonation Locus and Near Field for Shaped Charges

Characterization of Blast Wave Parameters in the Detonation Locus and Near Field for Shaped Charges

Prediction of blast loading in an internal environment using artificial neural networks

Numerical Analysis of the Blast Wave Propagation due to Various Explosive Charges

Contact Info

Product

Resources

About