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The risk assessment of a deep foundation pit based on fuzzy evidential reasoning method

dataset
posted on 20.05.2019 by Daojiang Wei
In general, the dataset is divided into two parts: the risk assessment part and the sensitivity analysis part. The risk assessment part is consisted of four steps: value assignment of hazards with trapezoidal fuzzy number, transformation of belief structure, fusion of belief using evidential reasoning algorithm, and redistribution of belief. In order to unveil the contribution degree of each hazard regarding to the whole risk level, the sensitivity analysis is conducted at last.

History

Contributors

School of Civil Engineering and Architecture, Hubei University of Art and Science

Publisher

4TU.Centre for Research Data

Format

media types: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, text/plain

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Licence

Exports