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Fracture of Steel in Energy Machine Parts: High-Temperature Creep and Hydrogen Influence presents advanced mathematical modeling approaches for evaluating the effects of high-temperature creep, hydrogen diffusion, damage accumulation, and creep development in steam pipelines, steam turbine discs, heat exchanger tubes, and steam boiler drums. The book discusses the strength and durability of metallic materials and structural elements at the stage of volumetric damage, then at local damage, and, finally, at the end of their residual life. It introduces models and algorithms for simulating these…mehr

Produktbeschreibung
Fracture of Steel in Energy Machine Parts: High-Temperature Creep and Hydrogen Influence presents advanced mathematical modeling approaches for evaluating the effects of high-temperature creep, hydrogen diffusion, damage accumulation, and creep development in steam pipelines, steam turbine discs, heat exchanger tubes, and steam boiler drums. The book discusses the strength and durability of metallic materials and structural elements at the stage of volumetric damage, then at local damage, and, finally, at the end of their residual life. It introduces models and algorithms for simulating these complex processes (high-temperature creep, hydrogen diffusion, damage accumulation, and creep development) that evolve at different rates in different areas of a structure. The various types of cracks are addressed, including through-thickness cracks, internal cracks, surface cracks, and elliptical cracks.
Autorenporträt
Maciej Dutkiewicz is a Professor at Bydgoszcz University of Science and Technology, Poland, with a Doctor of Technical Sciences and a PhD in Civil Engineering. His extensive scientific interests revolve around various areas such as damage identification, Structural Health Monitoring, fracture resistance of elements and structures, durability, loading in hydrogen-containing media, vibration control, metamaterials, dynamic systems, smart technologies for vibration control, the efficiency of vibration dampers, guide waves, machine learning applications, computational, numerical, and experimental fields, Data Science, and exploring inverse and physic-informed machine-learning techniques, as well as probabilistic analysis. He has authored over 150 scientific works and maintains a collaborative network with researchers from Ukraine, USA, Turkey, Brazil, France, Italy, Poland, Ethiopia, Czech Republic, and Romania.