Open Access Journal of Engineering Applications
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Adaptive Neuro-Fuzzy Inference for Bridge Structural Health Monitoring

Kwame Bhuiyan Corresponding 0000-0003-7121-9558
Bangladesh University of Engineering and Technology
Farhana Gupta 0000-0001-5509-1726
Shahjalal University of Science and Technology
30 Sep 2017
pp. 809-819
https://doi.org/10.55555/oajea.2017.4102.039

Abstract

Public concern over environmental degradation has sharpened the focus on bridge structural health monitoring within supply chain logistics. Design alternatives are compared systematically using adaptive neuro-fuzzy inference under identical assumptions. The findings confirm the first-order influence of bridge structural health monitoring on overall system performance. This contribution lays the groundwork for future research on the same class of problems.
Keywords: bridge structural health monitoringadaptive neuro-fuzzy inferencedeep learningcorrosionsmart grid

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