Stochastic Dynamics
Seiten
2017
Aarhus Universitetsforlag (Verlag)
978-87-7184-232-6 (ISBN)
Aarhus Universitetsforlag (Verlag)
978-87-7184-232-6 (ISBN)
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Modern structures face unpredictable forces from nature and traffic. The work explores methods to model dynamic responses through stochastic systems and statistical analysis, covering topics like stochastic processes, vibration theory, dynamic reliability, and Monte Carlo techniques to assess behavior.
Buildings, bridges and tunnels are continuously exposed to forces of nature such as wind, waves, earthquakes and even traffic. Because these forces are hard to predict and model, it is also hard to predict how these structures respond. Stochastic Dynamics introduces a way of modeling forces and responses using stochastic systems, providing a method of statistical analysis where precise predictions are impossible. Including topics such as stochastic processes, stochastic vibration theory of linear structures, reliability theory of dynamicstructures and Monte Carlo techniques, this book explains stochastic structural dynamics and how to apply it to modern structures.
Buildings, bridges and tunnels are continuously exposed to forces of nature such as wind, waves, earthquakes and even traffic. Because these forces are hard to predict and model, it is also hard to predict how these structures respond. Stochastic Dynamics introduces a way of modeling forces and responses using stochastic systems, providing a method of statistical analysis where precise predictions are impossible. Including topics such as stochastic processes, stochastic vibration theory of linear structures, reliability theory of dynamicstructures and Monte Carlo techniques, this book explains stochastic structural dynamics and how to apply it to modern structures.
Zili Zhang is an Associate Professor in the Department of Engineering, Aarhus University, Denmark. His research areas include structural dynamics, vibration control and wind energy.
| Erscheinungsdatum | 08.02.2017 |
|---|---|
| Sprache | englisch |
| Gewicht | 512 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik |
| ISBN-10 | 87-7184-232-2 / 8771842322 |
| ISBN-13 | 978-87-7184-232-6 / 9788771842326 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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