Jornal de Ciências da Terra e Mudanças Climáticas

Abstrato

Psychology and Technical Aspects of Risk Decreasing Processes using Artificial Itelect

Philip Philipoff, Stanimir Karapetkov, Kamen Ishtev , Ivan Demerdzhiev, Venkatanathan Natarajan, Mario Muñoz, Mehmet Salih Bayraktutan

Artifucial intellect is used for development a risk reduction neural network. Scietific areas of the presented network are in the fields of Natural Disasters, Transport Crashes and Industrial Accidents. Research database with 22 main topics is createdad for the described cases in the articale ivestigation. The above metioned 22 main topics are preseted in Table 1 of the study. A knowledge base is constructed for the preseted Neural Network. Numerical and Experimental examples for topic number 20 of the Table 1 of the study (Turkey and Syria earthquakes February 2023) are presented in the exploration of the article. Cognitive psychology and Techical sets are presened I the study. Two constructive suggestions are made in the exposition of the article for the topic number 20. At first a system for automatic control of dynamic response of the exixting buildings is developed. The existing elevator facilities of the buildigs are upgraded. The system guarantees full protection of buildings in case of any earthquake impact, with any magnitude, frequency spectrum and duration. Secondly, a passive

Control system is offered to automatically manage the dynamic response of the new generation zero mass buildings. The system as well as guarantees full protection of buildings in case of any earthquake impact with any magnitude, frequency spectrum and duration. In such a dynamical systems, the principle: "Sufficient investment with unlimited seismic resistance" is satisfied. Numerical and experimental examples are elaborated by MatLab and SAP 2000 software systems in the Techical University – Sofia.