MS_234 — Probabilistic methods for the assessment of existing concrete structures (3)


2018 ◽  
Vol 143 ◽  
pp. 04006 ◽  
Author(s):  
Liudmila Kaverzina ◽  
Galina Kovalenko ◽  
Irina Dudina ◽  
Oleg Belskii

Relevance of the research is conditioned by the necessity to enhance the factory quality control of reinforced concrete structures based on integral assessment of their reliability. The current system of selective quality control of precast concrete structures does not provide reliability assurance of the whole lot of products. The present research aims to develop operational procedure and consider economic feasibility of automated quality control of precast RC structures. Quality control is performed each shift according to the developed software system based on probabilistic methods considering statistic variability of the controlled parameters. The critical criterion of operational integrity of structures is integral assessment of the reliability indicators. The following theoretical research methods were used in the study: probabilistic-statistical, methods of system and economic analysis. Validity of the obtained results and economic feasibility were proved by experimental studies including full-scale tests.



Author(s):  
Ubaldo Garibaldi ◽  
Enrico Scalas


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