MAKING SOLUTIONS FOR CHOOSING INDUSTRIAL CONCRETE FLOORS AND EXPEDIENCE OF RELIABILITY EVALUATION

Abstract

The rapid growth of economy and the recent development of industry in Lithuania have considerably increased, and therefore the need for industrial concrete floors also has a tendency to growing. The floor is used in almost all industrial companies because of differently modified concrete and a number of coating materials. It is more difficult to make an effective solution for choosing the required coating due to the supply of many different coating materials, an improvement in technological solutions, stiffening economic and ergonomic requirements. The article focuses on the complex problems of working towards a solution for selecting coating, presents the evaluation of conditions for floor exploitation and analyses mistakes and economic outcomes. The paper describes the expedience and problems of evaluating solutions for choosing floor covering in terms of reliability, makes the complex model of factors that influence reliability and presents a practical example of calculating statistical reliability. Santrauka Spartejant ekonominiam ūkio vystymuisi ir plečiantis pramonei per pastaruosius metus Lietuvoje smarkiai išaugo ir ateityje turi tendencija augti pramoniniu betoniniu grindu poreikis. Šios grindys del ivairiai modifikuojamo betono ir gausaus skirtingu dangu medžiagu pasirinkimo šiuo metu naudojamos beveik visose pramones imonese. Esant gausiai ivairiu dangu medžiagu pasiūlai, tobulejant technologiniams sprendimams, griežtinant ekologinius, ergonominius reikalavimus, priimti efektyvu dangos sprendima vis sunkiau. Šiame straipsnyje nagrinejamos sudetingos dangu sprendimu priemimo problemos, pateikiamas eksploatacines dangu būkles ivertinimas, analizuojamos daromos klaidos ir ekonomines padarytu klaidu pasekmes grindis naudojančioms imonems. Nagrinejamas tikslingumas ir problematika priimtu grindu sprendimu vertinimo patikimumo aspektu, pateikiamas sudarytas patikimuma veikiančiu veiksniu kompleksinis modelis bei praktinis statistinio patikimumo skaičiavimo pavyzdys.