Title: Estimation of loading conditions of failed crane-hook: an image-based approach with knowledge and simulation

Authors: Takao Muromaki; Kazuyuki Hanahara; Yukio Tada; Takuma Nishimura

Addresses: Graduate School of Engineering, Kobe University, Kobe, Japan. ' Graduate School of System Informatics, Kobe University, Kobe, Japan. ' Graduate School of System Informatics, Kobe University, Kobe, Japan. ' Graduate School of Engineering, Kobe University, Kobe, Japan

Abstract: The main topic of this study is an estimation of loading conditions of crane-hooks. We examine the relation between the applied load condition and hook’s deformation by FEM analysis. The relation is recorded into the load-deformation database. The feature points are detected on failed crane-hook image in order to compare the image with the recorded deformation information in the load-deformation database. The analysis record corresponding to the failed crane-hook image is then obtained by means of a difference-minimisation approach. On the basis of the Bayesian theory, we estimate the probability distribution of the load condition, that is, the applied point and the direction of the critical load that causes the failure. The following tendency of the critical load is observed based on the obtained results in this study: the load applied point is not at the most downward position and the load direction is not the normal direction to the tangential line of the hook curve.

Keywords: loading conditions; database approach; Bayesian theory; crane hook failure; finite element method; FEM; digital image processing; crane hooks; hook deformation.

DOI: 10.1504/IJRS.2012.044304

International Journal of Reliability and Safety, 2012 Vol.6 No.1/2/3, pp.130 - 147

Received: 25 Nov 2010
Accepted: 28 Jun 2011
Published online: 27 Dec 2014 *

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