Three Methods in Reliability Assessment of Engineering Structure
Beata Potrzeszcz-Sut1, Agnieszka Dudzik2
1Beata Potrzeszcz-Sut*, Department of Mechanics, Metal Structures and Computer Methods, Kielce University of Technology, Poland.
2Agnieszka Dudzik, Department of Mechanics, Metal Structures and Computer Methods, Kielce University of Technology, Poland.
Manuscript received on January 28, 2022. | Revised Manuscript received on February 09, 2022. | Manuscript published on February 28, 2022. | PP: 114-118 | Volume-11 Issue-3, February 2022. | Retrieval Number: 100.1/ijeat.C33860211322 | DOI: 10.35940/ijeat.C3386.0211322
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Abstract: The work attempts to choose the handy methods for analyzing structural reliability. Comparative analysis of the methods was performed on an example of dome truss susceptible to stability loss from the condition of node snapping. In the reliability analysis of structure the load magnitudes (P), the axial stiffness of bars (EA), coordinate nodes (Z) are represented by random variables. The criterion of structural failure is expressed by the condition of non-exceeding the admissible load multiplier. The Hasofer-Lind reliability index was determined. In analysis were used three approaches differing way of defining the limit state function: Approach 1 – using of implicit limit state function, Approach 2 – using of explicit neural state functions, Approach 3 – using of the Hybrid Monte Carlo method.
Keywords: Reliability, Neural Networks, Limit State Function, Form Method, Hybrid Monte Carlo Method
Scope of the Article: Structural Reliability Analysis.