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2) An estimation method for failure probability of transmission lines is proposed in this paper.
This paper presents a fast and reliable method for failure prediction of coarsely meshed shell structures.
According to the numerical results, stresses and strains under gravity, seismic loading, and temperature load are compared, which provides theoretical method for failure analysis of buried thermal-pipeline.
In order to compare the micromechanics model's accuracy with commonly-used macroscopic failure theories, the experimental data obtained from the Worldwide Failure Exercise (WWFE) was utilized, and a quantitative assessment method for failure envelopes was developed to evaluate the model's performance.
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Failure mode and effects analysis (FMEA) and fault tree analysis (FTA) are two commonly used methods for failure analysis.
Probabilistic Fracture Mechanics combines the mathematical methods for failure probability calculation of structural reliability assessment with the fracture mechanics failure description of crack-containing structures.
By spectral analysis of eigenvalue of the bifurcation equations, a method for structures failure is presented.
This paper presents a new artificial neural network- ANN based responetwork- ANN based in conjunction with the uniforesponsen method for predicting failure probability of surfaceres.
The Unknown Input Observer approach is one of the well-established method for robust failure detection and isolation in linear systems.
A rapid expert-based assessment method for dam failure of SFRB supported by an artificial neural network (ANN) model has been presented.
Since belief rule base (BRB) can model the complex system when semi-quantitative information is available, this paper focuses on developing a new BRB based method for online failure prognosis that can deal with this problem.
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