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Reliability Analysis of Composite-Nanofluid Tube Using Finite-Based Armijo Method
- Source :
- ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. 7
- Publication Year :
- 2021
- Publisher :
- American Society of Civil Engineers (ASCE), 2021.
-
Abstract
- The reliable performance of composite tubes conveying nanofluid is an essential issue for robust design under dynamic loads. Further, the frequency failure mode of these structures is a considerable performance function to provide a balance between mass and stiffness of the structure. The ability of the first-order reliability method (FORM)-based finite-step adaptive length (FAL) is discussed for reliability analysis of composite tubes under frequency failure mode. The performances for efficiency and robustness to evaluate the failure probability FORM formulas are discussed. Therefore, the capability of FAL using the steepest descent sensitivity vector is compared with three FORM formulations that are extended by the steepest descent search direction for nanocomposite tubes conveying nanofluid. In this current work, the Navier scheme is employed for calculating the frequency failure mode. Furthermore, the robustness and efficiency related to the steepest descent FORM formulas of HL-RF, directional stability transformation method (DSTM), and finite-step length (FSL) are compared with FAL. Based on this discussion, FAL contains efficient formula in comparison with other FORM formulas. Moreover, it is found that FSL formulas as well as FAL formulas are more robust than HL-RF and DSTM. This structure's failure probability rises as the fluid velocity and pipe diameter increase.
- Subjects :
- Materials science
business.industry
Composite number
Building and Construction
Structural engineering
Frequency failure mode
Nanofluid
Robust design
Steepest descent search direction
First-order reliability method (FORM)
Tube (fluid conveyance)
Safety, Risk, Reliability and Quality
business
Failure mode and effects analysis
Reliability (statistics)
Civil and Structural Engineering
Subjects
Details
- ISSN :
- 23767642
- Volume :
- 7
- Database :
- OpenAIRE
- Journal :
- ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
- Accession number :
- edsair.doi.dedup.....be94bf2458533a04530cccbb9e206e61