Division A – Structural Engineering

Division of Structural Engineering


The Division of Structural Engineering is scientifically active in the areas of theoretical and experimental statics and dynamics of structures, plastic analysis, reinforced concrete structures, prestressed concrete, concrete technology, Steel structures, load-bearing masonry structures, bridge construction, energy design, seismic design and computer applications.


The Division of Structural Engineering includes four (4) laboratories, which cover the respective scientific areas and activities treated by the Department. The laboratories into which the sector is subdivided are the following:

  • Reinforced Concrete Laboratory
  • Building Materials Laboratory
  • CAD Laboratory
  • Laboratory of Applied Informatics & Computational Engineering


Students, through the compulsory and optional courses, have the opportunity to go deeper into the science of Civil Engineering and in particular the field of Structural Engineering. In the earlier semesters, students are taught courses such as mechanics, strength of materials, statics of isostatic and hyperstatic bodies, informatics and computer solution methods. Static analysis with matrices, finite elements, reinforced concrete, prestressed concrete, steel structures, bridge construction, load-bearing masonry structures, dynamics of structures, plastic analysis and seismic design are also taught onwards.


The operation of the Reinforced Concrete, Strength of Materials, CAD and Applied Informatics laboratories collaborate in the consolidation of theoretical knowledge, practical practice and the development of Educational and Research skills of students in the science of Civil Engineering.


In most of the modules the delivery of projects is required, while organized workshops and on-site visits further enrich students’ applied knowledge. In the last two semesters of studies, students are required to work on their thesis under the supervision of a faculty member of the Department, in order to synthesize the knowledge acquired and to go deeper into a specific theoretical or applied topic.