Introduction Of Clusterization Principles In The Solution Of Problems Of Energy Efficiency And Ecological Safety Of The Existent Building Fund

The aim of the work is to introduce clusterization principles in the solution of problems of energy efficiency and ecological safety of the existent building fund. The material of the research is the process of modeling of energetically effective architecture-building clusters. In this sense it is topical and expedient to elaborate technologies and schemes, able to support making decisions as to the formation of energetically effective architecture-building clusters. The main attention is paid to the solution of infrastructure problems of energy saving of the architecture-building branch, connected with the absence of universal models, distinct algorithms of the formation of energy efficiency clusters and reliable instruments of their activity optimization. But realization of advantages of energy efficiency clusters is possible only at introducing effective mechanisms of the formation of a structure, able to provide a result, optimal by an energy efficiency criterion. The work offers a scheme of the formation process of such structure. The synthesis of models of energetically effective architecture-building clusters is based on principles of the systemic construction of geometric models and provides the imitative modeling of different development scenarios of synthesized clusters. At this stage of the research a function of making decisions as to the real cluster formation is left for experts. But an algorithm of the synthesis of models provides the formation of a knowledge base that will be in further a base of an “internal model” of the intellectual system of supporting decisions making, elaborated for modeling cluster structures. The scientific novelty of the work is in the elaboration of theoretical bases of the technology of coordinating the structure with object properties

Application Of Fuzzy Mathematics Methods To Processing Geometric Parameters Of Degradation Of Building Structures

The aim of research is formalization of the expert experience, which is used in processing geometric parameters of building structure degradation, using fuzzy mathematics. Materials that are used to specify fuzzy models are contained in expert assessments and scientific and technical reports on the technical condition of buildings. The information contained in the reports and assessments is presented in text form and is accompanied by a large number of photographs and diagrams. Model specification methods, based on the analysis of such information on the technical state of structures with damages and defects of various types, primarily lead to difficulties associated with the presentation of knowledge and require the formalization of expert knowledge and experience in the form of fuzzy rules. Approbation and adaptation of the rules is carried out in the process of further research taking into account the influence of random loads and fields. The scientific novelty of the work is expanding of the knowledge base due to the geometric parameters of structural degradation, on the basis of which a fuzzy conclusion about their technical state in the systems of fuzzy product rules at different stages of the object's life cycle is realized. The results of the work are presented in the form of a formalized description of the geometric parameters of degradation. The knowledge presented in the work is intended for the development of technical documentation that is used at the pre-project stage of building reconstruction, but the gained experience is the source of information on the basis of which a constructive solution is selected in the design process of analogical objects. In addition, the knowledge gained from the analysis of expert assessments of the state of various designs is necessary for development of automated expert evaluation processing systems. The use of such evaluation systems will significantly reduce the risks of the human factor associated with the errors in the specification of models for predicting the processes of structural failure at various stages of ensuring the reliability and safety of buildings