Influence of loading direction on the static and fatigue fracture properties of the long term operated metallic materials

Lesiuk, Grzegorz; Rymsza, Barbara; Rabiega, J.; Correia, José A.F.O.; Jesus, Abílio M.P. De; Calçada, Rui

doi:10.1016/j.engfailanal.2018.11.007

Cited by 39 publications

(18 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For the independent corrosion depth, we used randomly generated numbers according to the Poisson distribution, and the initial thickness was randomly determined to have a range of 8-25 mm. As above, all the values of the right side are determined, and the left side is obtained by the calculation of Equation (2). Additionally, to recreate pitting, we created elliptical regions of damage, each of which had a random radius between 5 mm and 15 mm.…”

Section: Generation and Analysis Of Corroded Steel Specimen Using A Smentioning

confidence: 99%

“…We created total a 400 sets, including 100 sets each of the FEM model with solid elements for the corroded steel plate and H-section steel, and that with shell elements, which uses the effective thickness assessment model created in the previous section, for the steel plate and H-section steel beam, and compared their tensile load-bearing capacity. Each FEM model was built based on the spatial autocorrelation model of Equation (2). Dimensions were as follows: for both the steel plate and H-section steel, the longitudinal length was between 120 mm to 1500 mm.…”

Section: Fem Modeling Of Corroded Structural Membersmentioning

confidence: 99%

“…Corrosion of steel structures causes geometrical changes on the surface of structural members because of corrosion defects [1,2], which in turn lowers their load-bearing capacity. In the field of civil engineering, the corrosion of steel structures majorly contributes to deterioration of structural performance, together with fatigue cracks [3,4].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Evaluation of Tensile Performance of Steel Members by Analysis of Corroded Steel Surface Using Deep Learning

Chun

Yamane

Izumi

et al. 2019

Metals

View full text Add to dashboard Cite

To conduct safety checks of corroded steel structures and formulate appropriate maintenance strategies, the residual strength of steel structural members must be assessed with high accuracy. Finite element method (FEM) analyses that precisely recreate the morphology of corroded surfaces using solid elements are expected to accurately assess the strength; however, the cost of conducting these calculations is extremely high. Therefore, a model that uses mean thickness as the thickness of the shell element is widely used but this method has precision issues, particularly regarding overestimation of risk. Thus, this study proposes a method of structural analysis in which the effective thickness of a shell element is assessed using the convolutional neural network (CNN), a type of deep learning performed on tensile structural members. An FEM model is then built based on the shell element that uses this effective thickness. We cross-validated this method by adding a feature extraction layer that reflects the domain knowledge, together with convolutional and pooling layers that are commonly used for CNN and found that a high level of accuracy could be achieved. Furthermore, regarding corroded steel plates and H-section steel, our method demonstrated results that were extremely close to those of models that used solid elements.

show abstract

Section: Generation and Analysis Of Corroded Steel Specimen Using A Smentioning

confidence: 99%

Section: Fem Modeling Of Corroded Structural Membersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of Tensile Performance of Steel Members by Analysis of Corroded Steel Surface Using Deep Learning

Chun

Yamane

Izumi

et al. 2019

Metals

View full text Add to dashboard Cite

show abstract

“…It is essential to study the structural integrity of old metallic bridges in order to understand their limitations regarding both material and structure [1]. One aspect to consider is the fatigue behaviour of riveted structural details and materials.…”

Section: Introductionmentioning

confidence: 99%

“…One aspect to consider is the fatigue behaviour of riveted structural details and materials. The metal bridges of the late 19 th and early 20 th centuries were built with metallic materials, nowadays called puddled steel or iron [1,2]. These properties are essential for residual life analysis of metallic bridges in order to extend the lifetime of these structures.…”

Section: Introductionmentioning

confidence: 99%