IoA Institute of Architecture

University of Applied Arts Vienna

Structural Design

o. Univ. Prof. Dr. techn. DI. Klaus Bollinger

Andrei Gheorghe, Sen.Sc. Mag.arch. MArch
Florian Medicus, Univ.-Ass. Mag.arch.
Wolfgang Winter, Univ.-Lekt. Dipl.-Ing.
Harry Spraiter, Stud.-Ass

www.structuraldesign.at

Designing engineering structures today still depends to a large degree on procedures and assumptions that date back to the 19th century. That time saw the advent of steel, a new construction material with considerable tensile strength. In combination with this innovation new statical calculation methods gave rise to buildings of hitherto unknown height or free span. More or less all effective load bearing structures exhibit a high degree of regularity. They usually have one or more axes of symmetry. Some utilize arch or catenary shapes, but most consist of a large number of similar or identical elements. The structure's geometry was and is heavily influenced by what engineers are able to handle and thus to calculate efficiently.

The structural design department at the Institute of Architecture is involved in recent developments and research in the field of civil engineering which will help to overcome the above-mentioned limits:

· Advances in soft- and hardware make it possible to easily and swiftly assess a structure's structural properties.

· State-of-the-art optimization procedures that are partly inspired by nature allow one to search large solution spaces in reasonable amounts of time.

· Digital design and fabrication methods facilitate the economic production of customized structural components.

These three developments can be combined to generate structures with intrinsic load-bearing mechanisms. Their design contradicts the traditional conception of an engineering approach which consists of an a priori selection of the main structural components according to external boundary conditions. Instead the structural system is developed in an integrated approach with the architectural design process according to intrinsic principles of the optimization algorithm and the given boundary conditions.