Abstract
The allowance for various defects including cracks represents a critical issue related to structural risk analysis. The complexity and the ambiguity involved with such allowance for the amount and growth of defects (cracks) is demonstrated on the real structure of a metallurgical overhead crane. The problem of distribution function conversion must be solved to allow for any variations in defects starting from the point of time when the initial (technological) defectiveness is determined and ending with the estimated time of risk analysis. Due to the lack of data on cyclic resistance to cracking for Вст3сп5 steel, it does not yet seem possible to construct the distribution functions and to determine the estimated theoretical average and dispersion of crack sizes. However, by using the previously obtained calculated data on active stresses and strains, it is now possible to simulate growth of cracks based on Weibull distribution. Different engineering solutions can be accepted at various stages of operating large structures, according to the obtained results.
Highlights
The allowance for crack growth in various fracture models represents quite a critical issue related to structural risk analysis [1,2,3,4,5,6,7]
The triggering factors can include both technological defects and structural concentrators or material nonhomogeneities. In the former case, the probability density function fffVfVVV(ll ) of sizes of defects existing in a particular object varies with time whereas in the latter case both density fffVfVVV(kkkk) and fffVfVVV(ll ) vary as new cracks may arise
The following problem of defect distribution function conversion must be solved to allow for such variations [2]: fffVfVVV(kkkk, t t0) → fffVfVVV(kkkk, t t ), (1)
Summary
The allowance for crack growth in various fracture models represents quite a critical issue related to structural risk analysis [1,2,3,4,5,6,7]. The following problem of defect distribution function conversion must be solved to allow for such variations [2]: fffVfVVV(kkkk, t t0) → fffVfVVV(kkkk, t t ), (1)
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