A numerical and experimental study on defect assessment of plain and welded bars with shallow crack geometries
Lee, M.M.K., Luxmoore, A.R. and Sumpter, J.G.D. (1993) A numerical and experimental study on defect assessment of plain and welded bars with shallow crack geometries. International Journal of Fracture, 62, (3), 245-268. (doi:10.1007/BF00012542).
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Several fracture mechanics based models are currently available for defect assessment. These models generally assume that any defects present in the structure are located in materials of uniform properties and make no provision for the possible differences in deformation behaviour of components fabricated with dissimilar material. Extensive research using numerical simulation has been carried out for a number of years at University College of Swansea to investigate the effects of weld mismatch on potential fracture behaviour. However, no detailed validation work has been done to verify the large amount of data generated so far. The work presented in this paper was aimed at filling this gap. Crack tip parameters of single edge notch specimens under pure bending and direct tension were studied using a combination of experimental and numerical techniques. The results of this combined study confirm the validity and accuracy of the numerical procedure used. Comparison of the values of CTOD and J-integral with those obtained using the defect assessment models shows that these models are not adequate even for predicting behaviour of homogeneous specimens. Much research is therefore still required to develop procedures for accurate predictions.
|Digital Object Identifier (DOI):||doi:10.1007/BF00012542|
|Subjects:||Q Science > QA Mathematics
T Technology > TA Engineering (General). Civil engineering (General)
Q Science > QC Physics
|Divisions :||University Structure - Pre August 2011 > School of Civil Engineering and the Environment
|Accepted Date and Publication Date:||
|Date Deposited:||11 Mar 2010|
|Last Modified:||31 Mar 2016 13:08|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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