Significant Failure Mode Identification for a CFST Arch Bridge System

The structural reliability analysis is the widely accepted method for bridge safety assessment. Identification the subset of significant failure modes is the most important part of system reliability estimation. In this paper, a stage critical strength branch and bound algorithm is proposed for the failure mode identification of bridge systems. The innovative method is implemented in the combination with the finite element package ANSYS and the MATLAB procedure. The suggest method is applied to a concrete filled steel tubular (CFST) arch bridges. The results reveal various combinations of the failure modes in significantly reduced time and efforts in comparison to the previous permutation method. Additionally, the suggested method can be used for the verification of the system reliability with more specific predictions of the failure mode.

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Bridge Significant Failure Mode Identification Strategy under Traffic-Load

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.456.13 ◽

2010 ◽

Vol 456 ◽

pp. 13-22

Author(s):

Xin Gao ◽

Wei Hang Qin

Keyword(s):

Failure Mode ◽

Safety Assessment ◽

Structural Reliability ◽

Failure Modes ◽

Reliability Estimation ◽

Traffic Load ◽

Traffic Density ◽

Mode Identification ◽

Bridge Safety ◽

Failure Mode Identification

Increasing axle loads and traffic density made bridge accidents happened very often in China which caused the bridge safety assessment method in dire need. As a method for bridge safety assessment, the structural reliability analysis is widely accepted. An important part of system reliability estimation is to identify the subset of significant failure modes. In this paper, a stage critical strength branch and bound algorithm is proposed for the failure mode identification of bridge systems. The proposed method is implemented in the combination with the finite element package ANSYS and the MATLAB procedure, and is illustrated with the help of a truss bridge example. This algorithm is found efficient and reasonably accurate, and it can be applied to any kind of bridge systems without having to do much additional programming.

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Fast failure mode identification for ductile structural system reliability

Structural Safety ◽

10.1016/0167-4730(94)90029-9 ◽

1994 ◽

Vol 13 (4) ◽

pp. 207-226 ◽

Cited By ~ 20

Author(s):

Q. Xiao ◽

S. Mahadevan

Keyword(s):

Failure Mode ◽

System Reliability ◽

Structural System ◽

Mode Identification ◽

Structural System Reliability ◽

Failure Mode Identification

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Identification of Significant Failure Modes under Traffic-Load for an Arch Bridge System

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.178-181.2043 ◽

2012 ◽

Vol 178-181 ◽

pp. 2043-2047

Author(s):

Xin Gao ◽

Lei Wang ◽

Wei Hang Qin

Keyword(s):

Finite Element ◽

Branch And Bound ◽

System Reliability ◽

Failure Modes ◽

Reliability Estimation ◽

Traffic Load ◽

Arch Bridge ◽

Innovative Method ◽

Finite Element Package ◽

Reduced Time

An important part of system reliability estimation is to identify the subset of significant failure modes. A new identification method was proposed for the combination of failure modes of a concrete filled steel tubular arch bridge. The innovative method was based on critical strength branch and bound algorithm and implemented in the combination with the finite element package ANSYS and the MATLAB procedure. The results reveal various combinations of failure modes in significantly reduced time and efforts comparing to the previous conventional method. Additionally, the suggested method can be used for the verification of the system reliability with more specific predictions of the failure mode.

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A Framework for Creating a Function-Based Design Tool for Failure Mode Identification

Volume 4: 14th International Conference on Design Theory and Methodology, Integrated Systems Design, and Engineering Design and Culture ◽

10.1115/detc2002/dtm-34018 ◽

2002 ◽

Cited By ~ 12

Author(s):

Srikesh G. Arunajadai ◽

Robert B. Stone ◽

Irem Y. Tumer

Keyword(s):

Failure Mode ◽

Failure Modes ◽

Fault Tree Analysis ◽

Design Tool ◽

Tree Analysis ◽

Mode Identification ◽

Potential Failure ◽

Failure Mode Identification ◽

Criticality Analysis ◽

Failure Identification

Knowledge of potential failure modes during design is critical for prevention of failures. Currently industries use procedures such as Failure Modes and Effects Analysis (FMEA), Fault Tree analysis, or Failure Modes, Effects and Criticality analysis (FMECA), as well as knowledge and experience, to determine potential failure modes. When new products are being developed there is often a lack of sufficient knowledge of potential failure mode and/or a lack of sufficient experience to identify all failure modes. This gives rise to a situation in which engineers are unable to extract maximum benefits from the above procedures. In this work we report on a new failure identification scheme and integrate it with a function-based failure identification methodology, which would act as a storehouse of information and experience, providing useful information about the potential failure modes for the design under consideration, as well as enhancing the usefulness of procedures like FMEA. As an example, the method is applied to 41 products and the benefits are illustrated.

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Impacts of Leakage-Biasing Failure-Mode Identification in the Transmission-Line Pulse Testing for Low-/High-Voltage MOSFET Components

IEEE Transactions on Industry Applications ◽

10.1109/tia.2017.2647918 ◽

2017 ◽

Vol 53 (3) ◽

pp. 2888-2893 ◽

Cited By ~ 1

Author(s):

Shen-Li Chen ◽

Min-Hua Lee

Keyword(s):

Transmission Line ◽

Failure Mode ◽

High Voltage ◽

Mode Identification ◽

Pulse Testing ◽

Failure Mode Identification

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System Reliability Estimation with Failure Modes Analysis Applying Bayesian Approach - Case Study

2018 Annual Reliability and Maintainability Symposium (RAMS) ◽

10.1109/ram.2018.8463002 ◽

2018 ◽

Cited By ~ 1

Author(s):

Michael Talmor ◽

Lina Teper

Keyword(s):

Bayesian Approach ◽

System Reliability ◽

Failure Modes ◽

Reliability Estimation

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Optimal Reliability and Cost of Non-Repairable Systems Subject to Two Failure Modes Considering Correlated Failures

International Journal of Reliability Quality and Safety Engineering ◽

10.1142/s0218539318500249 ◽

2018 ◽

Vol 25 (05) ◽

pp. 1850024

Author(s):

Anusha Krishna Murthy ◽

Saikath Bhattacharya ◽

Lance Fiondella

Keyword(s):

Failure Mode ◽

System Reliability ◽

Failure Modes ◽

Optimal Number ◽

Optimal Designs ◽

Repairable Systems ◽

Independent Manner ◽

Reliability Models ◽

Correlated Failures ◽

The Impact

Most reliability models assume that components and systems experience one failure mode. Several systems such as hardware, however, are prone to more than one mode of failure. Past two-failure mode research derives equations to maximize reliability or minimize cost by identifying the optimal number of components. However, many if not all of these equations are derived from models that make the simplifying assumption that components fail in a statistically independent manner. In this paper, models to assess the impact of correlation on two-failure mode system reliability and cost are developed and corresponding expressions for reliability and cost optimal designs derived. Our illustrations demonstrate that, despite correlation, the approach identifies reliability and cost optimal designs.

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