Periodic Reporting for period 2 - RAGTIME (Risk based approaches for Asset inteGrity multimodal Transport Infrastructure ManagEment)
Reporting period: 2018-03-01 to 2019-08-31
Asset Management (AM) process is needed to ensure cost-effectiveness, in planning, delivery, operation and maintenance of large infrastructures or infrastructures network. Infrastructure AM generally focuses on the later stages of a facility’s life cycle, specifically maintenance, rehabilitation, and replacement. However, a process of efficient AM must define methods and tools for asset tracking, management of maintenance activity, determine the life cycle and replacement costs of the assets, assistance in determining funding strategies, optimizing capital investments in operation and maintenance, and help with the replacement of assets. Transportation Authorities are facing severe financial pressures that emphasize the need for developing risk-based AM plans and financial plans.
Currently, the procurement, design, construction, exploitation and public communication to the final users and society regarding to the land transport infrastructures are:
• Not multimodal, not cross-assets, but focused on individual assets.
• Not correctly linked, not being able to exchange information by different stakeholders.
• Lack of a common risk based approach and the implementation of resilient concepts throughout the whole life cycle
The project has established a common framework for governance, management and finance of transport infrastructure projects in order to ensure the best possible return from limited investment funds in transport infrastructures.
RAGTIME has developed, demonstrated and validated an innovative management approach and has laid out a whole system planning software platform, based on standard multiscale data models, able to facilitate a holistic management throughout the entire lifecycle of the infrastructure, providing an integrated view of risk based approach, implementing risk based models, resilient concepts and mitigation actions, with specific reference to climate change related threats perspective, and monitored with smart systems, in order to implement effective mitigation actions.
Currently, the procurement, design, construction, exploitation and public communication to the final users and society regarding to the land transport infrastructures are:
• Not multimodal, not cross-assets, but focused on individual assets.
• Not correctly linked, not being able to exchange information by different stakeholders.
• Lack of a common risk based approach and the implementation of resilient concepts throughout the whole life cycle
The project has established a common framework for governance, management and finance of transport infrastructure projects in order to ensure the best possible return from limited investment funds in transport infrastructures.
RAGTIME has developed, demonstrated and validated an innovative management approach and has laid out a whole system planning software platform, based on standard multiscale data models, able to facilitate a holistic management throughout the entire lifecycle of the infrastructure, providing an integrated view of risk based approach, implementing risk based models, resilient concepts and mitigation actions, with specific reference to climate change related threats perspective, and monitored with smart systems, in order to implement effective mitigation actions.
1. The Advanced Asset Integrity Management AAIM Framework has been defined in light of:
• a review of European practices, recommendations, standards and tools on the management of different sectors of transport infrastructures, aiming to harmonise them
• the definition of:
o management needs of the owner or operator of the transport infrastructure along whole lifecycle
o existing gaps related with governance management risks.
o the existing framework in the risk analysis of transport infrastructure projects within a lifecycle approach
o technical management risks for each transport sector along whole lifecycle
o Key Performance Indicators to assess and manage the different transport infrastructure
2. The bases have been laid for:
• A lean procurement methodology:
The new governance proposal based on:
o Project Integration theories and new theories of Innovation Procurement Process (including LEAN Procurement Process and Public Procurement Process).
o Cost reduction and Time saving
o Transparency
o Flexibility
has been established
Indicators for the whole governance process have been defined
• The architecture of an Open Cloud-based software platform for the collaboration between stakeholders in the design and maintenance of the infrastructure. A cloud solution based on a single multiscale information model.
• The implementation of risk analyses and risk transfer approaches: The main outcome of this phase is a complete mapping of the technical, operational, financial and governance risks which may be completed/integrated by the end user on the basis of his/her specific needs.
• The implementation of performance-based probabilistic and predictive methods
• A new techncial management strategy: The target transport assets have been defined (bridge, tunnel, slope, railway open-track and pavement), as well as their main components. Also data collection and transmission processes, as well as diagnosis process, have been redefined, being currently in the process of establishing pre-alarm and alarm limits ready to be implemented in predictive maintenance procedures. This Technical management strategy covers the whole lifecycle for effectiveness tracking control of the intervention and mitigation actions implemented according to RAMSSHEEP approach but also to social-inclusive, safety-secure, economic, risk, resilience, green…
• a review of European practices, recommendations, standards and tools on the management of different sectors of transport infrastructures, aiming to harmonise them
• the definition of:
o management needs of the owner or operator of the transport infrastructure along whole lifecycle
o existing gaps related with governance management risks.
o the existing framework in the risk analysis of transport infrastructure projects within a lifecycle approach
o technical management risks for each transport sector along whole lifecycle
o Key Performance Indicators to assess and manage the different transport infrastructure
2. The bases have been laid for:
• A lean procurement methodology:
The new governance proposal based on:
o Project Integration theories and new theories of Innovation Procurement Process (including LEAN Procurement Process and Public Procurement Process).
o Cost reduction and Time saving
o Transparency
o Flexibility
has been established
Indicators for the whole governance process have been defined
• The architecture of an Open Cloud-based software platform for the collaboration between stakeholders in the design and maintenance of the infrastructure. A cloud solution based on a single multiscale information model.
• The implementation of risk analyses and risk transfer approaches: The main outcome of this phase is a complete mapping of the technical, operational, financial and governance risks which may be completed/integrated by the end user on the basis of his/her specific needs.
• The implementation of performance-based probabilistic and predictive methods
• A new techncial management strategy: The target transport assets have been defined (bridge, tunnel, slope, railway open-track and pavement), as well as their main components. Also data collection and transmission processes, as well as diagnosis process, have been redefined, being currently in the process of establishing pre-alarm and alarm limits ready to be implemented in predictive maintenance procedures. This Technical management strategy covers the whole lifecycle for effectiveness tracking control of the intervention and mitigation actions implemented according to RAMSSHEEP approach but also to social-inclusive, safety-secure, economic, risk, resilience, green…
RAGTIME approaches transport infrastructure AM from a multimodal, risk based point of view, addressing all lifecycle of the infrastructure, including the resilience perspective.
Lifecycle condition assessment advanced solutions are being deployed to enable predictive maintenance, including the use of Structural Health Monitoring
An innovative lean procurement process has been developed, standardizing the tender process, and implementing the risk based approach and the resilience perspective at early stages.
Expected results
1. RAGTIME AAIM methodology
2. RAGTIME AAIM methodology knowledge and capabilities:
3. RAGTIME AAIM software platform
4. RAGTIME AAIM software platform modules: Governance, Finance and Economic and Risk, Technical Management.
Potential impacts
• Accelerated delivery of transport infrastructure through improved, transparent and harmonised investment decision making.
Projects contribution:
Providing a common model to represent the transport network at different scales, designing tools for cooperative updating of the model will make the adaptation of the network to be self-supported, the coordination of network actors and the predicting tools to assess the transport externalities will be the key enabling technologies to solve this problem.
Degree of achievement:
3 comprehensive sets of KPIs have been identified regarding: governance; financial and risk and technical management. The implementation of the RAGTIME methodology will enable an improved predictive capacity and maintenance planning of the European transport infrastructure network.
Projects contribution:
the project contributes to improve AM, al multiscale level, implementing a risk based methodology, with a RAMSSHEEP approach.
Degree of achievement:
A risk driven multiscale infrastructure management platform was developed to involve the stakeholders in the different lifecycle phases, from the early stages of its inception, construction and operation. The governance module orchestrates the different processes and guide the users in the execution of the different phases in a standard way. The Operational Risk Strategy has been defined in the sense that the predictive and preventive maintenance can be managed through AI techniques to extend the life of the infrastructures and assure its correct and safe use with respect to workers, operators and citizens.
Lifecycle condition assessment advanced solutions are being deployed to enable predictive maintenance, including the use of Structural Health Monitoring
An innovative lean procurement process has been developed, standardizing the tender process, and implementing the risk based approach and the resilience perspective at early stages.
Expected results
1. RAGTIME AAIM methodology
2. RAGTIME AAIM methodology knowledge and capabilities:
3. RAGTIME AAIM software platform
4. RAGTIME AAIM software platform modules: Governance, Finance and Economic and Risk, Technical Management.
Potential impacts
• Accelerated delivery of transport infrastructure through improved, transparent and harmonised investment decision making.
Projects contribution:
Providing a common model to represent the transport network at different scales, designing tools for cooperative updating of the model will make the adaptation of the network to be self-supported, the coordination of network actors and the predicting tools to assess the transport externalities will be the key enabling technologies to solve this problem.
Degree of achievement:
3 comprehensive sets of KPIs have been identified regarding: governance; financial and risk and technical management. The implementation of the RAGTIME methodology will enable an improved predictive capacity and maintenance planning of the European transport infrastructure network.
Projects contribution:
the project contributes to improve AM, al multiscale level, implementing a risk based methodology, with a RAMSSHEEP approach.
Degree of achievement:
A risk driven multiscale infrastructure management platform was developed to involve the stakeholders in the different lifecycle phases, from the early stages of its inception, construction and operation. The governance module orchestrates the different processes and guide the users in the execution of the different phases in a standard way. The Operational Risk Strategy has been defined in the sense that the predictive and preventive maintenance can be managed through AI techniques to extend the life of the infrastructures and assure its correct and safe use with respect to workers, operators and citizens.