||The paper discusses introduction of artificial intelligence into structural engineering practice. The necessity of this paper is accelerated by the information base (IB) and decision support systems exigency, as some standards are not completely designed and there is no statistical information on faults, defects and damage to various buildings. The article suggests creating a decision support system for the optimal structural design of buildings that takes into account a risk of a propagating rupture. The article describes possibilities of a decision support system, the stages of its development and structure. Conceptual solution of the proposed decision support system for the analysis of structures is illustrated by designing trade and business centre high-rise building. The system is based on a knowledge base, which is created during its development and can be updated and expanded with the advent of new codes of practice and new structural design recommendations. Expert system will be built on the basis of clear rules and recommendations from foreign and Russian codes of practice, as well as European standards, and international occurrences of buildings accidents. Optimization of structural elements is performed on the basis of a genetic algorithm. The effect of various genetic operators on the performance of the algorithm is investigated. A model of a genetic algorithm for optimization of steel structural elements is developed. The work is the attempt to create a complex approach to the structural design: the user can not only study the normative documentation, get advice, study the examples of calculation, but also take advantage of the proposed programs for the optimization of the design decisions. It is expected that expert’s knowledge on the analysis of buildings incorporated in expert system will improve the quality of the design, and as a consequence, the reliability of structures.