Structural and Multidisciplinary Optimization is an academic journal published by Springer. (ISSN 1615-147X, impact factor 4.0).
Aims and scope
Structural and Multidisciplinary Optimization is at the converging frontier of design, engineering, simulation, additive manufacturing, AI and digital-twins. The field has become increasingly important for improving environmental sustainability and combating climate change through enhancing efficiency of engineering products.
The journal
• explores a wide range of topics dealing with optimization involving at least one major engineering discipline such as solid (structural), fluid, thermal, electric and electronics, electromagnetics etc.
• covers multidisciplinary optimization when one discipline deals with a major physical performance listed above.
• examines closely related fields that are relevant to design optimization.
• is the official journal of the International Society of Structural and Multidisciplinary Optimization (ISSMO)
The journal’s scope ranges from mathematical foundations of the field to algorithm and software development, and from benchmark examples to case studies of practical applications in a wide range of industries including automotive, aerospace, rail, AEC (architecture, engineering and construction), mechanical, electrical, chemical, naval and bio-medical. Articles that provide broad educational value are also encouraged.
Fields such as computer-aided design and manufacturing, additive manufacturing, digital-twins, AI, system identification and modeling, inverse processes, computer simulation, bio-mechanics, biomedical applications, nanotechnology, electric and electronics systems, MEMS, optics, chemical processes, computational biology, uncertainty quantification, meta-modeling, DOE and active control of engineering products are covered when the topic is closely related to the optimization of structures, fluids or another major physics.
Past Editors-in-Chief:
George I. N. Rozvany (1989-2015)
Raphael T. Haftka (2015-2020)
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