Fatigue lifetime prediction of complex welded structures

Lifetime assessment of dynamically loaded structures is essential towards decision support for quantification of lifetime extension and optimization of predictive maintenance. Fatigue failures can havecatastrophic consequences, both social and environmental. Reliable prediction of fatigue failure willlead to a substantial reduction of operation and maintenance costs for players in different sectors. Thecore of our current research is the development of numerical tools for structural and fatigue analysisof welded steel structures. Using finite element modeling, stress concentrations in large structurescan be located and quantified. A custom developed python framework is then used to estimate theremaining lifetime of the structure.Lifetime assessment of dynamically loaded structures is essential towards decision support for quantification of lifetime extension and optimization of predictive maintenance. Fatigue failures can havecatastrophic consequences, both social and environmental. Reliable prediction of fatigue failure willlead to a substantial reduction of operation and maintenance costs for players in different sectors. Thecore of our current research is the development of numerical tools for structural and fatigue analysisof welded steel structures. Using finite element modeling, stress concentrations in large structurescan be located and quantified. A custom developed python framework is then used to estimate theremaining lifetime of the structure.C