IRIS publication 109001652
Assessment and Maintenance Planning for Infrastructure Networks
RIS format for Endnote and similar
TY - CONF - Alan O'Connor, Vikram Pakrashi and Manuela Salta - Transportation Research Board (TRB) Annual Meeting, 2012 - Assessment and Maintenance Planning for Infrastructure Networks - 2012 - Validated - 1 - () - This paper presents some discussions and guidelines for efficient assessment and maintenance planning of infrastructure networks summarizing some of the findings of the recently completed DuratiNet project funded by the European Regional Development Fund. Limitation of resources and variations of interest or priority of different stakeholders are assumed and the assessment and maintenance planning is conceptually related to the evolving and true measure of safety or serviceability of the network. The best probabilistic estimate in the light of available information and existing uncertainty represents best estimate of this level of safety and it is important to relate traditional assessment methods to such estimates at a network level. In this regard, the importance of traditional infrastructure management systems far exceed their current interpretation and can now be assimilated within a more holistic hierarchical infrastructure maintenance management framework. Due to the involvement of different stakeholders, the need for cross-asset optimization is emphasized on and the use of more social, environmental and economic descriptors is encouraged. The paper also discusses the importance of structure-specific response models and the degradation models for efficient maintenance management. The nature of a full probabilistic assessment, assisted with detailed inspection and testing is discussed in the framework presented. A staged assessment strategy is recommended for successful network level infrastructure maintenance management. It is observed that the proposed framework can assimilate and integrate different levels of existing methodology to give rise to a centralized strategy transferring maximum benefit to a range of stakeholders. DA - 2012/NaN ER -
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@inproceedings{V109001652, = {Alan O'Connor, Vikram Pakrashi and Manuela Salta}, = {Transportation Research Board (TRB) Annual Meeting, 2012}, = {{Assessment and Maintenance Planning for Infrastructure Networks}}, = {2012}, = {Validated}, = {1}, = {()}, = {{This paper presents some discussions and guidelines for efficient assessment and maintenance planning of infrastructure networks summarizing some of the findings of the recently completed DuratiNet project funded by the European Regional Development Fund. Limitation of resources and variations of interest or priority of different stakeholders are assumed and the assessment and maintenance planning is conceptually related to the evolving and true measure of safety or serviceability of the network. The best probabilistic estimate in the light of available information and existing uncertainty represents best estimate of this level of safety and it is important to relate traditional assessment methods to such estimates at a network level. In this regard, the importance of traditional infrastructure management systems far exceed their current interpretation and can now be assimilated within a more holistic hierarchical infrastructure maintenance management framework. Due to the involvement of different stakeholders, the need for cross-asset optimization is emphasized on and the use of more social, environmental and economic descriptors is encouraged. The paper also discusses the importance of structure-specific response models and the degradation models for efficient maintenance management. The nature of a full probabilistic assessment, assisted with detailed inspection and testing is discussed in the framework presented. A staged assessment strategy is recommended for successful network level infrastructure maintenance management. It is observed that the proposed framework can assimilate and integrate different levels of existing methodology to give rise to a centralized strategy transferring maximum benefit to a range of stakeholders. }}, source = {IRIS} }
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AUTHORS | Alan O'Connor, Vikram Pakrashi and Manuela Salta | ||
TITLE | Transportation Research Board (TRB) Annual Meeting, 2012 | ||
PUBLICATION_NAME | Assessment and Maintenance Planning for Infrastructure Networks | ||
YEAR | 2012 | ||
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STATUS | Validated | ||
PEER_REVIEW | 1 | ||
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ABSTRACT | This paper presents some discussions and guidelines for efficient assessment and maintenance planning of infrastructure networks summarizing some of the findings of the recently completed DuratiNet project funded by the European Regional Development Fund. Limitation of resources and variations of interest or priority of different stakeholders are assumed and the assessment and maintenance planning is conceptually related to the evolving and true measure of safety or serviceability of the network. The best probabilistic estimate in the light of available information and existing uncertainty represents best estimate of this level of safety and it is important to relate traditional assessment methods to such estimates at a network level. In this regard, the importance of traditional infrastructure management systems far exceed their current interpretation and can now be assimilated within a more holistic hierarchical infrastructure maintenance management framework. Due to the involvement of different stakeholders, the need for cross-asset optimization is emphasized on and the use of more social, environmental and economic descriptors is encouraged. The paper also discusses the importance of structure-specific response models and the degradation models for efficient maintenance management. The nature of a full probabilistic assessment, assisted with detailed inspection and testing is discussed in the framework presented. A staged assessment strategy is recommended for successful network level infrastructure maintenance management. It is observed that the proposed framework can assimilate and integrate different levels of existing methodology to give rise to a centralized strategy transferring maximum benefit to a range of stakeholders. | ||
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