Thermo-chemical degradation of industrial installations - experimental and numerical technical condition assessment
Source abstract
Abstract
The article presents the procedure for assessing and taking into account in numerical simulations the thermal and chemical degradation of the structural material of the installation for the processing of mineral resources. Possible measurement techniques that can be used to assess the degree of wear of structural elements are described, together with an exemplary application. The assumptions for the construction of the numerical model were also described along with a detailed discussion of the obtained results. Particular attention was paid to the interpretation of the results in terms of the assessment of the technical condition.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Mechanical Engineering Research and Applications · Mechanical and Thermal Properties Analysis · Advancements in Materials Engineering
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (25)
Show source-provided references
1. Probabilistic assessment of the state of welded pipeline elements and pressure vessels with detected corrosion-erosion defects
2. Life cycle structural integrity management of offshore structures
3. Naumov1, O.V.; Pugachev1, M.S. , Moskvitin, G.V. Methods of estimating local microdeformation in the sample with defect, IOP Conf. Ser. Mater. Sci. Eng., 747.10.1088/1757-899X/747/1/012025 ↗
4. Investigation of the failure of the bucket wheel excavator bridge conveyor
5. Advanced finite element method in superstructures (in Polish)
6. Failure investigation of the bucket wheel excavator crawler chain link10.1016/j.engfailanal.2013.04.025 ↗
7. A review on defects in steel offshore structures and developed strengthening techniques10.1016/j.istruc.2019.06.002 ↗
8. The assessment of the technical condition of complex fatigued load-carrying structures10.3390/app11062449 ↗
9. Experimental study on fatigue performance of corroded high-strength steel wires used in bridges10.1016/j.conbuildmat.2018.07.249 ↗
10. Sensors for structural health monitoring and condition monitoring10.3390/s21051558 ↗
11. Pipeline failures in corrosive environments – a conceptual analysis of trends and effects10.1016/j.engfailanal.2015.03.004 ↗
12. Wang · 2019
13. Approach for modeling fire insulation damage in steel columns10.1061/(ASCE)ST.1943-541X.0000688 ↗
14. Andruszko, J.; Moczko, P. Pietrusiak, D.P.; Przybyłek, G.; Rusiński, E. , Analysis of the causes of fatigue cracks in the carrying structure of the bucket wheel in the SchRs4600 excavator using experimental-numerical techniques, W in: Proceedings of the Fourteenth International Scientific Conference: Computer Aided Engineering / eds. Eugeniusz Rusiński, Damian Pietrusiak. Cham: Springer, cop. 2019. s. 15–28. (Lecture Notes in Mechanical Engineering), ISSN 2195-4356. 〈https://doi.org/10.1007/978–3-030–04975-1_3〉.10.1007/978-3-030-04975-1_3 ↗
15. Numerical and experimental identification of crack in the stacker construction
16. Lighting lamps in recreational areas – damage and prevention, testing and modelling
17. Influence of temperature on corrosion behavior of 2A02 Al alloy in marine atmospheric environments10.3390/ma11020235 ↗
18. Marine Atmospheric corrosion of carbon steel: a review10.3390/ma10040406 ↗
19. Evaluation of corrosion conditions for the steel box members by corrosion monitoring exposure test10.1016/j.conbuildmat.2020.120195 ↗
20. Corrosion of carbon steel under CO2 conditions: effect of CaCO3 precipitation on the stability of the FeCO3 protective layer10.1016/j.corsci.2019.108214 ↗
21. High-temperature corrosion behaviour of metal alloys in commercial molten salts10.1016/j.solener.2020.03.010 ↗
22. Experimental attenuation and evaluation of whole body vibration for an off-road vehicle with magnetorheological dampers10.1177/1461348418782166 ↗
23. Intensity-modulated PM-PCF Sagnac loop in a DWDM setup for strain measurement10.3390/app9112374 ↗
24. Iterative learning of optimal control for nonlinear processes with applications to laser additive manufacturing10.1109/TCST.2018.2865444 ↗
25. Iterative learning from suppressing vibrations in construction machinery using magnetorheological dampers