Summarization: A genetically optimized neural detector is utilized for the identification of structural defects in concrete piles. The proposed methodology is applied on numerically generated data, involving two major defect types. A coupled finite element and scaled boundary finite element method approach is used to model the pile and its surrounding soil. The oscillation patterns, produced on the surface of the pile, depend strongly on the introduced defect type. The proposed defect detection system provides information about the type and the placement of the defect(s), given the surface's oscillation patterns.Presented on: Computers and Structure

Similar works

Full text


Institutional Repository of the Technical University of Crete

Full text is not available
oaioai:dlib.tuc.gr:79597Last time updated on 7/9/2019

Having an issue?

Is data on this page outdated, violates copyrights or anything else? Report the problem now and we will take corresponding actions after reviewing your request.