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PROBABILISTIC MODELING OF EXPLOSIVE LOADING
According to existing design standards, explosive loading represents a special type of loading. Explosive loading is, in most cases, local in nature, although it can exceed the loads for which buildings are designed by a dozen of times. The analysis of terrorist attacks with explosives employed demonstrates that charges have a great power and, consequently, a substantial shock wave pressure. Blast effects are predictable with a certain probability. Therefore, we cannot discuss the no-failure operation of individual structures. The estimated reliability of buildings is a more important problem. That's how we can save lives of those people who are outside of the area impacted by an explosion. Explosive loading is a variable random process influenced by a variety of factors, including the charge geometry, weight, etc. A shock wave can be reflected from surfaces and objects. Reference data concerning physical properties of models of explosives are provided in various sources. That's why we can talk about the blast load value with some probability. The article deals with the probability modeling of the shock wave pressure. The charge weight is chosen as a random parameter that has a normal Gauss distribution. Any structural design must be backed by reliable and verified calculations and mathematical models based on advanced high-speed PCs and software. The finite element software package ANSYS/LS-DYNA was employed to complete this research. The problem was solved in the time domain through the employment of the fourth integration of equations of motion. We can assess the reliability of structures and buildings if we know the parameters of random explosive effects. Numerical simulation helps identify random explosive impacts. This problem is relevant in connection with the construction of unique high-rise buildings and extensive sports facilities that accommodate dozens of thousands of viewers.
PROBABILISTIC MODELING OF EXPLOSIVE LOADING
According to existing design standards, explosive loading represents a special type of loading. Explosive loading is, in most cases, local in nature, although it can exceed the loads for which buildings are designed by a dozen of times. The analysis of terrorist attacks with explosives employed demonstrates that charges have a great power and, consequently, a substantial shock wave pressure. Blast effects are predictable with a certain probability. Therefore, we cannot discuss the no-failure operation of individual structures. The estimated reliability of buildings is a more important problem. That's how we can save lives of those people who are outside of the area impacted by an explosion. Explosive loading is a variable random process influenced by a variety of factors, including the charge geometry, weight, etc. A shock wave can be reflected from surfaces and objects. Reference data concerning physical properties of models of explosives are provided in various sources. That's why we can talk about the blast load value with some probability. The article deals with the probability modeling of the shock wave pressure. The charge weight is chosen as a random parameter that has a normal Gauss distribution. Any structural design must be backed by reliable and verified calculations and mathematical models based on advanced high-speed PCs and software. The finite element software package ANSYS/LS-DYNA was employed to complete this research. The problem was solved in the time domain through the employment of the fourth integration of equations of motion. We can assess the reliability of structures and buildings if we know the parameters of random explosive effects. Numerical simulation helps identify random explosive impacts. This problem is relevant in connection with the construction of unique high-rise buildings and extensive sports facilities that accommodate dozens of thousands of viewers.
PROBABILISTIC MODELING OF EXPLOSIVE LOADING
Mkrtychev Oleg Vartanovich (Autor:in) / Dorozhinskiy Vladimir Bogdanovich (Autor:in)
2012
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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