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dc.contributor.authorChen, Jianbing
dc.contributor.authorICASP14
dc.date.accessioned2023-08-03T14:27:35Z
dc.date.available2023-08-03T14:27:35Z
dc.date.issued2023
dc.identifier.citationJianbing Chen, Physically driven full probabilistic uncertainty propagation in complex nonlinear structures, 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14), Dublin, Ireland, 2023.
dc.descriptionPUBLISHED
dc.description.abstractThe safety and reliability evaluation of complex engineering structures under dynamic loading conditions has long been a challenging problem. The coupling of nonlinearity and randomness in high-dimensional or large-degree-of-freedom stochastic systems is the essential difficulty to be circumvented. To this end, the refined analysis techniques to capture structural behaviors and uncertainty quantification and propagation, seemly irrelevant, are essentially the two sides of a coin. This perspective leads to the thought of physically driven full probabilistic uncertainty propagation in complex nonlinear systems. In this paper, some advances in this framework, in particular the probability density evolution method and its extensions and applications, will be outlined. Problems to be further studied are also discussed.
dc.language.isoen
dc.relation.ispartofseries14th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP14)
dc.rightsY
dc.titlePhysically driven full probabilistic uncertainty propagation in complex nonlinear structures
dc.title.alternative14th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP14)
dc.typeConference Paper
dc.type.supercollectionscholarly_publications
dc.type.supercollectionrefereed_publications
dc.rights.ecaccessrightsopenAccess
dc.identifier.urihttp://hdl.handle.net/2262/103677


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    14th International Conference on Application of Statistics and Probability in Civil Engineering

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