New Method of Quality Control for Fire Protective Coatings

3rd World Multidisciplinary Civil Engineering, Architecture, Urban Planning Symposium

土木建筑工程;文学

Minailov, Dmitry^1 ; Eremina, Tatiana^2 ; Korolchenko, Dmitry^3

Section of Research and Testing Work in the Area of Fire Safety, Fire Testing Laboratory of Kaliningrad, Region, Russia^1

Firefighting Service Academy of Russian Ministry of Emergencies, Boris Galushkina street 4, Moscow

129366, Russia^2

Moscow State University of Civil Engineering, Yaroslavskoe shosse 26, Moscow

129337, Russia^3

关键词: Coating surface;    Confidence limit;    Dielectric methods;    Normative documents;    Processing technologies;    Protective properties;    Surface appearance;    Visual inspection;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/471/11/112016/pdf
DOI  :  10.1088/1757-899X/471/11/112016

学科分类：土木及结构工程学

来源: IOP

【 摘 要 】

This research highlights testing measurements for quality control of fire protective coating on the all life cycle services, which is aimed to improve the processing technology of product coatings, the quality of building and energy saving. Short-time experiments in resistance to climate factors were carried out in order to check the possibility of dielectric method appliance for quality control of fire protective coating during service life, with further measurement of dielectric and fire protective properties. This work analyses the thermal decomposition and fire-protective properties, based on visual inspection of surface appearance for all protected constructions at all protected area and criteria of coating surface appearance with the requirements of normative documents for its appliance. Thin-layer fire protective coatings were chosen for the experiments to appraisal fire protection quality control of steel constructions. Experiments were carried out for frequencies 100, 120, 1000, 10000 and 100000 Hz at temperature 26°C and relative humidity 45% within a week daily, for 30 min with a break 1 min. Obtained data array were processed statistically in order to determine mean root square deviation and H confidence limits. Mean root square deviations were also calculated for the data obtained for 30 measurements within 24 hours.