Structural load types, on the one hand, and structural capacity to withstand these loads, on the other hand, are of a probabilistic\nnature as they cannot be calculated and presented in a fully deterministic way. As such, the past few decades have witnessed\nthe development of numerous probabilistic approaches towards the analysis and design of structures. Among the conventional\nmethods used to assess structural reliability, the Monte Carlo sampling method has proved to be very convenient and efficient.\nHowever, it does suffer from certain disadvantages, the biggest one being the requirement of a very large number of samples to\nhandle small probabilities, leading to a high computational cost. In this paper, a simple algorithm was proposed to estimate low\nfailure probabilities using a small number of samples in conjunction with theMonte Carlo method. This revised approach was then\npresented in a step-by-step flowchart, for the purpose of easy programming and implementation.
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