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Projekt Druckansicht

Nichtlineare stochastische Schwingungsanalyse zur dynamischen Bemessung von Mehrfreiheitsgradsystemen unter seismischer Belastung

Antragsteller Professor Dr.-Ing. Michael Beer, seit 12/2019
Fachliche Zuordnung Konstruktiver Ingenieurbau, Bauinformatik und Baubetrieb
Angewandte Mechanik, Statik und Dynamik
Förderung Förderung von 2018 bis 2023
Projektkennung Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 411442313
 
Erstellungsjahr 2023

Zusammenfassung der Projektergebnisse

This project has made efforts to address the challenges in the field of stochastic dynamics, including , estimating the peak response of nonlinear systems with fractional derivative elements subject to stochastic code-compatible excitations, developing a modal stochastic design spectrum-based analysis technique for non-classically damped nonlinear MDOF structural systems, proposing a developing an efficient first-passage kind nonlinear stochastic incremental dynamical analysis methodology for MDOF systems, developing an inelastic (plastic/hysteretic behavior) joint time-frequency nonstationary stochastic response fragility analysis technique for MDOF structural systems, determining the response statistics of nonlinear systems with singular matrices, and bounding the first excursion probability of nonlinear systems under imprecise stochastic loading. The methods in the project demonstrates a number of important scientific advances: (1) they can readily treat MDOF systems following complex nonlinear/hysteretic behaviors; (2) they can treat arbitrary stochastic excitations that exhibit variability in both the intensity and the frequency content; (3) they can treat non-classically damped nonlinear MDOF systems; (4) they can readily handle specifications prescribed by various aseismic code provisions (e.g., European EC8, Chinese GB 50011, etc); (5) they display characteristics similar to the ones of a system identification process; (6) this latter point can be well exploited in resilience-based improvement strategies for ordinary code-compliant multi-storey building structures; (7) computationally demanding (even with the most advanced sampling techniques) MCS are circumvented. Besides these methodological advancements, a significant gain in knowledge involve how to improve the design of structural systems subject to seismic hazard to ensure their safe use and operation. Findings from this project have a major impact on the analysis and design of diverse dynamic systems/structures/devices and will open major roadblocks and unlock a vast array of applications in emerging and transformative technologies such as in the areas of energy dissipation (e.g. vibration suppression), energy generation (e.g. analysis/design of energy harvesting dynamic vibration absorbers) and multi-scale engineering. The methodologies achieve a big step towards bridging the gap between advanced stochastic engineering dynamics and contemporary design code provisions (e.g., EC8) in conceptual agreement with the performance-based engineering (PBE) content, and will cause a paradigm shift in the way modern engineering structures/devices are analyzed and designed in the presence of uncertainties. Besides, the researchers in the project have also achieved other related research goals. Specifically, the complex systems, such as nonlinear systems with singular matrices and nonlinear systems with fractional derivative elements, are considered. Further, the complexity of stochastic dynamical system arises not only from their physical modeling but also from the practical environment in which they operate, which involves more intricate excitation modeling, such as the combination of deterministic and stochastic excitation or imprecise stochastic loading. Overall, the developments from this project contribute significantly to the field of stochastic dynamics. These developments find applications in the nonlinear stochastic structural dynamical analysis of engineering systems. However, there are still numerous challenges that need to be addressed, particularly in the realm of stochastic dynamics for nonlinear systems. Further potential research in this area is warranted.

Projektbezogene Publikationen (Auswahl)

 
 

Zusatzinformationen

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