Mini symposia/Special sessions

MS51 Stochastic Dynamics and Reliability Assessment of Complex Engineering Structures under Disastrous Loadings

Associate Prof. Jun Xu:

Session Chairs:
Jun Xu, Associate professor, Hunan University,
Fan Kong, Associate Professor, Wuhan University of Technology,
Ding Wang, Associate Professor, Yanshan University,

Abstract of the special session:
The objective of this MS is to report recent advances and emerging approaches related to stochastic dynamics and reliability evaluations of complex engineering structures under disastrous loadings, e.g., earthquakes and strong wind. To comprehensively understand the structural performance, it is of paramount importance to perform stochastic dynamic analysis and reliability assessment of structures under disastrous loadings, where the randomness in both the disastrous loadings and structural parameters need to be considered. For complex engineering structures, it is almost impossible to avoid nonlinear behaviors when they are driven by disastrous excitations. However, great difficulties still exist to capture the interested probabilistic response of complex engineering structures when the classical random vibration theories and reliability methods are applied because the embedded physical mechanism is ignored. Hence, the practical engineering applications of these classical theories and methods are also quite difficult. In that regard, the physically-based methods could be greatly advocated for alleviating the dilemma.
Specific contributions related to both methodology developments and engineering applications regarding but not restricted to following aspects are welcome:

  1. Modelling of disastrous excitations, e.g. the modelling of seismic ground motions and wind fields;
  2. Pragmatic techniques for stochastic dynamics of complex nonlinear structures;
  3. Distinct failure mechanisms of complex engineering structures under disastrous loadings, e.g. dynamic instability;
  4. Dynamic reliability analysis of complex engineering structures, e.g. the first-passage reliability problem, the extreme value distribution-based method, etc.;
  5. Dynamic reliability analysis involving multiple kinds of failure mechanisms.

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