Building vulnerability assessment based on cloud model

Xixia Sun; Chao Cai

doi:10.1117/12.2034104

26 October 2013 Building vulnerability assessment based on cloud model

Xixia Sun, Chao Cai

Proceedings Volume 8921, MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 89211K (2013) https://doi.org/10.1117/12.2034104
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

Abstract

This study aims at building a general framework for estimating building vulnerability to blast-fragmentation warhead of a missile. Considering the fuzziness and randomness existing in the damage criterion rules, cloud models are applied to represent the qualitative concepts. On the basis of building geometric description, element criticality analysis, blast wave and fragment movement description, and meeting analysis of fragments and target, kill probabilities of the components are estimated by the shot line method. The damage state of the whole building given the threat is obtained by cloud model based uncertainty reasoning and the proposed similarity measure, enabling both randomness of probability reasoning and the fuzziness of the traditional fuzzy logic to be considered. Experimental results demonstrate that the proposed method can provide useful reference for optimizing warhead design and mission efficiency evaluation.

Citation Download Citation

Xixia Sun and Chao Cai "Building vulnerability assessment based on cloud model", Proc. SPIE 8921, MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 89211K (26 October 2013); https://doi.org/10.1117/12.2034104

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