Abstract
Recently, the optimization issue relevance of reinforced concrete (RC) structures design solutions through the maximum use of their bearing capacity resource has increased significantly; in turn, solving this issue depends on a fundamental understanding of the reliability and durability concepts. Because any loads, impacts, or bearing capacity reserve parameters are random variables, there is a need to build stochastic models, which can become the “reliability design” concept base shortly. Among other things, this review article is devoted to the Monte Carlo methods features analysis in terms of their use in the RC members’ reliability assessment tasks. Based on a modern literary sources review, recommendations for further studies of the RC structures’ reliability and durability (including damaged ones) under the conditions of the combined action of loads and a corrosive environment (using Monte Carlo methods) were also formulated.
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