Comparison between a typical and a simplified model for blast load-induced structural response

Abd-Elhamed, Ayman; Mahmoud, Sayed

doi:10.1088/1742-6596/814/1/012007

Cited by 3 publications

(6 citation statements)

References 3 publications

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“…First, the results are compared to those of Abd-Elhamed and Mahmoud [24] for numerical system parameters in terms of mass, m = 25 ×10 3 As illustrated in Fig. 5, the present exact solutions of the dynamic response of SDOF system in terms of displacement, velocity, and acceleration time histories under blast loads is consistent with the solution proposed by Abd-Elhamed and Mahmoud [24].…”

Section: Validationsupporting

confidence: 71%

“…The results obtained from the current study have been modified by neglecting the magnitude of harmonic load generated by the machine and considering the blast load to take place at time t1 = 0. Validation employing study by Abd-Elhamed and Mahmoud[24] for (a) displacement, (b) velocity, and (3) acceleration responses of the SDOF system under the given blast load.…”

mentioning

confidence: 99%

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Closed-form solutions to investigate the nonlinear response of foundations supporting operating machines under blast loads

Abd-Elhamed

2022

Preprint

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Machine foundations are subjected to significant dynamic impacts. These impacts could spread to the surrounding regions, affecting workers, sensitive equipment in the same institution, or nearby areas. This study analyzes the response of machine-supporting foundations to harmonic and explosive loads under operational conditions and provides closed-form solutions for predicting responses in terms of displacement, velocity, and acceleration time-histories to two common types of blast loads: a more accurate typical profile and simplified triangular profile. The soil-machine foundation system is regarded as a single-degree-of-freedom (SDOF) system that exhibits elastic–perfectly flexible resistance behavior. For the analysis of the SDOF system, two cases are considered: one assumes that the supporting soil keeps elastic during the explosion, and the peak displacement is less than the elastic one, while the other assumes that the blast occurs in an elastic state, and the peak displacement occurs in a plastic state. By using the closed-form analytical solutions, a detailed parametric analysis is carried out to evaluate the impacts of significant soil-foundation system characteristics such as mass, stiffness, and damping ratio on the response-time history of machine foundations. The findings are compared to those reported in the literature, and relevant conclusions are derived. Obtained results demonstrated that, despite its simplicity and usage of only positive phase to simulate blast loads, the simplified model's response behavior differs significantly from the typical one. Furthermore, the derived solutions are utilized to design the foundations supporting vibrating machines for both harmonic and blast loads in a variety of conceivable scenarios depending on the blast magnitude.

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Section: Validationsupporting

confidence: 71%

mentioning

confidence: 99%

Closed-form solutions to investigate the nonlinear response of foundations supporting operating machines under blast loads

Abd-Elhamed

2022

Preprint

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show abstract

“…Validation employing study by Abd-Elhamed and Mahmoud 26 for (a) displacement, (b) velocity, and (c) acceleration responses of the SDOF system under the given blast load.…”

Section: Resultsmentioning

confidence: 99%

“…First, the results are compared to those of Abd-Elhamed and Mahmoud 26 for numerical system parameters in terms of mass, m = 25 × 10 3 kg, fundamental time period, Tnormaln = 1.2 s, damping ratio, ξ = 5%, peak pressure of explosive load, F0=312 kpa, exposed surface area Aeq = 5.61 m 2 , shape parameter, b = 1.701 and duration of the blast, tnormald = 0.02142 s. The results obtained from the current study have been modified by neglecting the magnitude of harmonic load generated by the machine and considering the blast load to take place at time t 1 = 0.…”

Section: Resultsmentioning

confidence: 99%

“…As illustrated in Figure 5, the present exact solutions of the dynamic response of SDOF system in terms of displacement, velocity, and acceleration time histories under blast loads is consistent with the solution proposed by Abd-Elhamed and Mahmoud. 26 For further validation, the analytical results from the proposed study are also compared to Li et al 24 as shown in Figure 6 for numerical undamped system parameters in terms of mass, m = 100 kg, stiffness, k = 10000 N/m, peak explosive load, F 0 = 1000 N, duration of the blast, t d = 0.04 s and maximum resistance, R m = 20.042 N. Observedly, the results from the current solutions generally demonstrate good agreement with Li et al 24 solution and it is also clear that the two results are completely identical.…”

Section: Validationmentioning

confidence: 99%

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Closed-form solutions to investigate the nonlinear response of foundations supporting operating machines under blast loads

Abd-Elhamed

Alkhatib

Dagher

2023

Journal of Low Frequency Noise, Vibration and Active Control

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Machine foundations are subjected to significant dynamic impacts. These impacts could spread to the surrounding regions, affecting workers, sensitive equipment in the same institution, or nearby areas. This study analyzes the response of machine-supporting foundations to harmonic and explosive loads under operational conditions and provides closed-form solutions for predicting responses in terms of displacement, velocity, and acceleration time-histories to two common types of blast loads: a more accurate typical profile and simplified triangular profile. The soil-machine foundation system is regarded as a single-degree-of-freedom (SDOF) system that exhibits elastic–perfectly flexible resistance behavior. For the analysis of the SDOF system, two cases are considered: one assumes that the supporting soil keeps elastic during the explosion, and the peak displacement is less than the elastic one, while the other assumes that the blast occurs in an elastic state, and the peak displacement occurs in a plastic state. By using the closed-form analytical solutions, a detailed parametric analysis is carried out to evaluate the impacts of significant soil-foundation system characteristics such as mass, stiffness, and damping ratio on the response-time history of machine foundations. The findings are compared to those reported in the literature, and relevant conclusions are derived. Obtained results demonstrated that, despite its simplicity and usage of only positive phase to simulate blast loads, the simplified model’s response behavior differs significantly from the typical one. Furthermore, the derived solutions are utilized to design the foundations supporting vibrating machines for both harmonic and blast loads in a variety of conceivable scenarios depending on the blast magnitude.

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Prediction of Blast-Induced Structural Response and Associated Damage Using Machine Learning

2022

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Terrorist bombing-induced casualties are not only related to immediate fatalities but also to structural deterioration, damage, or even collapse that might occur and may lead to tremendous loss of life. Efficient assessment of blast-induced structural damage following explosion events is becoming a growing problem in modern societies. An attempt based on machine learning is made in this study to anticipate structures’ responses and the associated structural damage to reinforced concrete (RC) buildings exposed to extremely short-duration explosive loads. A program is developed to generate a set of analytically derived data for nonlinear building models subjected to explosive loads. Common machine learning models and Python libraries were utilized during the development of our program implementation to learn from a dataset. The latter has different features or input parameters, such as the amount of explosive charge, the distance from the building, fundamental period, and the building’s mass and rigidity, as well as the soil type. Our database is thus used, along with our regression-and-classification based implementations, to generate an output index that estimates and categorizes the state of damage based on the several most-important parameters of the explosion exposure. In the input database, the state of damage, based on the values of captured damage indices, is classified into one of four cases. Our code efficiently predicts those cases using a model that learns from the database. The prediction rates of the presented model reach an overall high accuracy. Therefore, the proposed model provides an accurate prediction of the level of structural damage by using the computed damage indices.

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Comparison between a typical and a simplified model for blast load-induced structural response

Cited by 3 publications

References 3 publications

Closed-form solutions to investigate the nonlinear response of foundations supporting operating machines under blast loads

Closed-form solutions to investigate the nonlinear response of foundations supporting operating machines under blast loads

Closed-form solutions to investigate the nonlinear response of foundations supporting operating machines under blast loads

Prediction of Blast-Induced Structural Response and Associated Damage Using Machine Learning

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