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Development of risk-based decision methodology for facility design.

File Language:
English


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  • Abstract:
    This report develops a methodology for CDOT to use in the risk analysis of various types of facilities and provides

    illustrative examples for the use of the proposed framework. An overview of the current practices and applications to

    illustrate the context from which the proposed methodology has been developed is presented first. Next, the report

    introduces the proposed methodology for CDOT. In order to understand how the framework operates in practice, two

    illustrative examples are presented. The first example demonstrates the framework through the context of allocating

    resources for the operation and maintenance of a portfolio of signalized mast arms. Two risk assessment methods are

    introduced through the first example, and it is shown that mast arms could benefit from varied inspection frequencies

    based on current structural defects present. The second illustrative example uses the framework in the context of

    making design decisions with regard to seismic hazard in Colorado. A quantitative risk assessment method is

    introduced, and the illustration suggests that seismic hazard is not a controlling hazard in Colorado.

    Implementation

    Through the literature review and presented examples, CDOT is equipped with the resources and information

    necessary to implement a risk-based methodology in decision-making across its organization. In the near term, the

    report recommends the following action items for CDOT:

     Implementation of a varied mast arm inspection routine based on structural state

     Modification of the mast arm inspection records database to make information amenable to data-mining for

    risk assessment

     Adoption of the proposed common vocabulary and framework to discuss risk and address issues that face the

    organization

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  • Main Document Checksum:
    urn:sha256:08e2da546ba157496441884c42ca6ea6519e31ace95693c00c4fd25168aeeba1
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  • File Type:
    Filetype[PDF - 4.06 MB ]
File Language:
English
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