People | Locations | Statistics |
---|---|---|
Naji, M. |
| |
Motta, Antonella |
| |
Aletan, Dirar |
| |
Mohamed, Tarek |
| |
Ertürk, Emre |
| |
Taccardi, Nicola |
| |
Kononenko, Denys |
| |
Petrov, R. H. | Madrid |
|
Alshaaer, Mazen | Brussels |
|
Bih, L. |
| |
Casati, R. |
| |
Muller, Hermance |
| |
Kočí, Jan | Prague |
|
Šuljagić, Marija |
| |
Kalteremidou, Kalliopi-Artemi | Brussels |
|
Azam, Siraj |
| |
Ospanova, Alyiya |
| |
Blanpain, Bart |
| |
Ali, M. A. |
| |
Popa, V. |
| |
Rančić, M. |
| |
Ollier, Nadège |
| |
Azevedo, Nuno Monteiro |
| |
Landes, Michael |
| |
Rignanese, Gian-Marco |
|
Maljaars, Johan
Eindhoven University of Technology
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (26/26 displayed)
- 2024Fatigue behaviour of root crack in stiffener-to-deck plate weld at crossbeam of orthotropic bridge deckscitations
- 2024Fatigue behaviour of root crack in stiffener-to-deck plate weld at crossbeam of orthotropic bridge deckscitations
- 2024Numerical simulations of residual stress formation and its effect on fatigue crack propagation in a fillet welded T-jointcitations
- 2024A two-scale approach for assessing the role of defects in fatigue crack nucleation in metallic structurescitations
- 2024Prediction of fatigue crack paths including crack-face friction for an inclined edge crack subjected to mixed mode loadingcitations
- 2024Experimental evaluation of the fatigue notch factor in as-built specimens produced by Wire and Arc Additive Manufacturingcitations
- 2024Pyrolysis modelling of insulation material in coupled fire-structure simulationscitations
- 2023A pyrolysis model for steel-insulation sandwich building façade systems under firecitations
- 2022Safety assessment for capacity design of bolted steel connections in tensioncitations
- 2022Uncertainty quantification of the failure assessment diagram for flawed steel components in BS 7910:2019citations
- 2021Fracture mechanics based fatigue life prediction for a weld toe crack under constant and variable amplitude random block loading—Modeling and uncertainty estimationcitations
- 2021A cohesive XFEM model for simulating fatigue crack growth under various load conditionscitations
- 2020Preload loss of stainless steel bolts in aluminium plated slip resistant connectionscitations
- 2020Preload loss of stainless steel bolts in aluminium plated slip resistant connectionscitations
- 2020Rivet clamping force of as-built hot-riveted connections in steel bridgescitations
- 2020Influence of material anisotropy on fatigue crack growth in C–Mn steels of existing structurescitations
- 2019Simplified constraint-modified failure assessment procedure for structural components containing defects
- 2019Added value of regular in-service visual inspection to the fatigue reliability of structural details in steel bridges
- 2018Use of HSS and VHSS in steel structures in civil and offshore engineeringcitations
- 2017Compatibility of S-N and crack growth curves in the fatigue reliability assessment of a welded steel joint
- 2017Bending-shear interaction of steel I-shaped cross-sections
- 2016The effect of low temperatures on the fatigue crack growth of S460 structural steelcitations
- 2016Fire exposed steel columns with a thermal gradient over the cross-sectioncitations
- 2016Numerical investigation into strong axis bending-shear interaction in rolled I-shaped steel sections
- 2016Fatigue partial factors for bridges
- 2014Failure and fatigue life assessment of steel railway bridges with brittle material
Places of action
Organizations | Location | People |
---|
document
Fatigue partial factors for bridges
Abstract
Fatigue – crack initiation and growth due to repetitive loading – is one of the main failure modes of steel bridges. To ensure the bridge safety during its lifetime, partial factors should be used on both load effects and material resistance to keep the probability of failure less than its target value, set by considering failure consequences. <br/>The current standards suggest two design methodologies. First, by using partial factors to prevent failure probability to reach its target value at the end of the life, which results in an expensive design. Second, using smaller partial factors and letting the failure probability get close to its target value but prevent failure by performing regular inspection and damage repair. While in the first method it is possible to use not large enough partial factors, in the second one, the lack of knowledge in (long) crack behavior, critical crack length and inspection interval are the main issues.<br/>The goal of this research is to solve these issues to assure fatigue safety in an economical way by making the best use of inspection techniques. Therefore, a sound physical and probabilistic approach will be followed considering the stochastic nature of involved parameters. Several possible inspection categories will be defined and for each one of them, an optimal partial factor will be set and required inspection interval and procedure will be regulated.<br/>