scholarly journals Asset Management of Linear Civil Infrastructure – Through the Lens of a Changing Climate

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Shawn Kenny
Keyword(s):  
Asset Management ◽  
Civil Infrastructure ◽  
Changing Climate

scholarly journals Future Changes in Flood Hazards across Canada under a Changing Climate

Water ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 1441 ◽  
Author(s):  
Ayushi Gaur ◽  
Abhishek Gaur ◽  
Slobodan Simonovic
Keyword(s):  
Return Period ◽  
Climate Models ◽  
Decision Makers ◽  
Civil Infrastructure ◽  
Flood Hazards ◽  
North Central ◽  
Changing Climate ◽  
The Future ◽  
Projected Changes ◽  
General Climate

Climate change has induced considerable changes in the dynamics of key hydro-climatic variables across Canada, including floods. In this study, runoff projections made by 21 General Climate Models (GCMs) under four Representative Concentration Pathways (RCPs) are used to generate 25 km resolution streamflow estimates across Canada for historical (1961–2005) and future (2061–2100) time-periods. These estimates are used to calculate future projected changes in flood magnitudes and timings across Canada. Results obtained indicate that flood frequencies in the northernmost regions of Canada, and south-western Ontario can be expected to increase in the future. As an example, the historical 100-year return period events in these regions are expected to become 10–60 year return period events. On the other hand, northern prairies and north-central Ontario can be expected to experience decreases in flooding frequencies in future. The historical 100-year return period flood events in these regions are expected to become 160–200 year return period events in future. Furthermore, prairies, parts of Quebec, Ontario, Nunavut, and Yukon territories can be expected to experience earlier snowmelt-driven floods in the future. The results from this study will help decision-makers to effectively manage and design municipal and civil infrastructure in Canada under a changing climate.

scholarly journals Internet of Things adoption for reconfiguring decision-making processes in asset management

2019 ◽  
Vol 25 (3) ◽  
pp. 495-511 ◽  
Author(s):  
Paul Brous ◽  
Marijn Janssen ◽  
Paulien Herder
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Asset Management ◽  
Business Processes ◽  
Research Approach ◽  
Data Provenance ◽  
Civil Infrastructure ◽  
Content Type ◽  
Management Domain ◽  
Decision Making Processes

Purpose Managers are increasingly looking to adopt the Internet of Things (IoT) to include the vast amount of big data generated in their decision-making processes. The use of IoT might yield many benefits for organizations engaged in civil infrastructure management, but these benefits might be difficult to realize as organizations are not equipped to handle and interpret this data. The purpose of this paper is to understand how IoT adoption affects decision-making processes. Design/methodology/approach In this paper the changes in the business processes for managing civil infrastructure assets brought about by IoT adoption are analyzed by investigating two case studies within the water management domain. Propositions for effective IoT adoption in decision-making processes are derived. Findings The results show that decision processes in civil infrastructure asset management have been transformed to deal with the real-time nature of the data. The authors found the need to make organizational and business process changes, development of new capabilities, data provenance and governance and the need for standardization. IoT can have a transformative effect on business processes. Research limitations/implications Because of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to test the propositions further. Practical implications The paper shows that data provenance is necessary to be able to understand the value and the quality of the data often generated by various organizations. Managers need to adapt new capabilities to be able to interpret the data. Originality/value This paper fulfills an identified need to understand how IoT adoption affects decision-making processes in asset management in order to be able to achieve expected benefits and mitigate risk.

scholarly journals Hurricane Wind and Storm Surge Effects on Coastal Bridges under a Changing Climate

2020 ◽  
Vol 2674 (6) ◽  
pp. 23-32 ◽  
Author(s):  
Reda Snaiki ◽  
Teng Wu ◽  
Andrew S. Whittaker ◽  
Joseph F. Atkinson
Keyword(s):  
Storm Surges ◽  
Climate Change Scenarios ◽  
Civil Infrastructure ◽  
Closure Rate ◽  
Climate Conditions ◽  
Coastal Bridges ◽  
Changing Climate ◽  
Hurricane Wind ◽  
Tracking Model ◽  
Hurricane Tracking

Hurricanes and their cascading hazards have been responsible for widespread damage to life and property, and are the largest contributor to insured annual losses in coastal areas of the U.S.A. Such losses are expected to increase because of changing climate and growing coastal population density. An effective methodology to assess hurricane wind and surge hazard risks to coastal bridges under changing climate conditions is proposed. The influence of climate change scenarios on hurricane intensity and frequency is explored. A framework that couples the hurricane tracking model (consisting of genesis, track, and intensity) with a height-resolving analytical wind model and a newly developed machine learning-based surge model is used for risk assessment. The proposed methodology is applied to a coastal bridge to obtain its traffic closure rate resulting from the observed (historical) and future (projected) hurricane winds and storm surges, demonstrating the effects of changing climate on the civil infrastructure in a hurricane-prone region.

Digital Transformation of Critical Water Infrastructure

2021 ◽  
Author(s):  
Fotios Konstantinidis ◽  
Panagiotis Michalis ◽  
Manousos Valyrakis
Keyword(s):  
Augmented Reality ◽  
Virtual Worlds ◽  
Asset Management ◽  
Industrial Revolution ◽  
Critical Infrastructure ◽  
Transport Systems ◽  
Civil Infrastructure ◽  
Water Infrastructure ◽  
The Road ◽  
Wide Range

<p>The ongoing fourth industrial revolution has accelerated the transformation of management and maintenance of assets into the digital era. This involves the application and interoperability of management systems in an upper system like the one described as Civil Infrastructure 4.0 [1]. CI4.0 involves the collection and process of data from the surrounding infrastructure over a wide range of assets and systems, incorporating a multi-integrated decision support system for efficient asset management. This is particular important for ageing water infrastructure as it is threatened by the occurrence of flood-related hazards, which have significant degradation impact and consequences to transport systems, e.g. bridges, embankments, waterways etc.</p><p>Despite the recent advances in the development and application of immersive technologies, transport and water infrastructure are still considered to be managed in a traditional way. This process involves on-site engineers making decisions based on their skills and experience, while in the majority of the times using paper-based analytics.</p><p>This study presents the development of intelligent tools to efficiently advance decision making about the maintenance procedure of water infrastructure, aiming to reduce costs and assessment times. One of the technological pillars, which can upgrade the traditional procedures is Augmented Reality (AR) technology, which is already used in other industries like Manufacturing and Automotive [2]. AR creates a combined environment in which the views of real and virtual worlds co-exist. AR technology provides valuable key information to inspectors, through AR glasses or mobile devices, pointing out areas of interest. Such an AR solution can register the coordination of location of the defects, analysing the possible maintenance solutions, and communicating effectively between in-house operators and inspectors on-site.</p><p>[1] Michalis, P., Konstantinidis, F. and Valyrakis, M. (2019). The road towards Civil Infrastructure 4.0 for proactive asset management of critical infrastructure systems. Proceedings of the 2nd International Conference on Natural Hazards & Infrastructure (ICONHIC), 23–26 June Chania, Greece, pp. 1-9.</p><p>[2] Konstantinidis, F.K., Kansizoglou, I., Santavas, N., Mouroutsos, S.G. and Gasteratos, A., 2020. MARMA: A Mobile Augmented Reality Maintenance Assistant for Fast-Track Repair Procedures in the Context of Industry 4.0. Machines, 8(4), p.88.</p>

scholarly journals Towards Resilient Civil Infrastructure Asset Management: An Information Elicitation and Analytical Framework

2019 ◽  
Vol 11 (16) ◽  
pp. 4439 ◽  
Author(s):  
Yifan Yang ◽  
S. Thomas Ng ◽  
Frank J. Xu ◽  
Martin Skitmore ◽  
Shenghua Zhou
Keyword(s):  
Information Integration ◽  
Asset Management ◽  
Analytical Framework ◽  
Quality Data ◽  
Civil Infrastructure ◽  
Information Elicitation ◽  
Resilience Management ◽  
Resilient Infrastructure ◽  
Analytical Approaches ◽  
Infrastructure Asset Management

It is rather difficult for the stakeholders to understand and implement the resilience concept and principles in the infrastructure asset management paradigm, as it demands quality data, holistic information integration and competent data analytics capabilities to identify infrastructure vulnerabilities, evaluate and predict infrastructure adaptabilities to different hazards, as well as to make damage restoration and resilience improvement strategies and plans. To meet the stakeholder’s urgent needs, this paper proposes an information elicitation and analytical framework for resilient infrastructure asset management. The framework is devised by leveraging the best practices and processes of integrated infrastructure asset management and resilience management in the literature, synergizing the common elements and critical concepts of the two paradigms, ingesting the state-of-the-art interconnected infrastructure systems resilience analytical approaches, and eliciting expert judgments to iteratively improve the derived framework. To facilitate the stakeholders in implementing the framework, two use case studies are given in this paper, depicting the detailed workflow for information integration and resilience analytics in infrastructure asset management. The derived framework is expected to provide an operational basis to the quantitative resilience management of civil infrastructure assets, which could also be used to enhance community resilience.

scholarly journals Civil Infrastructure Management Models for the Connected and Automated Vehicles Technology

2019 ◽  
Vol 4 (3) ◽  
pp. 49 ◽  
Author(s):  
John O. Sobanjo
Keyword(s):  
Asset Management ◽  
Civil Infrastructure ◽  
Infrastructure Management ◽  
Automated Vehicles ◽  
Private Industry ◽  
User Costs ◽  
Replacement Model ◽  
Infrastructure System ◽  
Transportation Asset Management ◽  
Age Replacement

The new concept of Connected and Automated Vehicles (CAVs) necessitates a need to review the approach of managing the existing civil infrastructure system (highways, bridges, sign structures, etc.). This paper provides a basic introduction to the CAV concept, assesses the infrastructure requirements for CAVs, and identifies the appropriateness of the existing infrastructure, and needs, in terms of the condition assessment and deterioration modeling. With focus on the Vehicle-to-Infrastructure (V2I) requirements for CAVs, the main elements required on the infrastructure are the Roadside Units (RSUs), which are primarily for communication; they are similar to non-structural transportation assets, such as traffic signals, signs, etc. The ongoing pertinent efforts of agencies and the private industry are reviewed, including the V2I Deployment Coalition (American Association of State Transportation Officials (AASHTO), the Institute of Transportation Engineers (ITE), and the Intelligent Transportation Society of America (ITS America)). Current methods of transportation asset management, particularly, of non-structural elements, are also reviewed. Two reliability-based models were developed and demonstrated for the deterioration of RSUs, including the age replacement model, and a combined survivor function considering the vulnerability of the CAV elements to natural hazards, such as the hurricanes. The paper also discusses the implications of the CAV technology on traffic models, particularly, how it affects user costs’ computations.

Innovative geo-monitoring system to assess hydro-hazards at road embankments

2020 ◽  
Author(s):  
Panagiotis Michalis ◽  
Yi Xu ◽  
Eftychia Koursari ◽  
Stuart Wallace ◽  
Manousos Valyrakis
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Asset Management ◽  
River Flow ◽  
The Body ◽  
Internal Erosion ◽  
Bridge Scour ◽  
Civil Infrastructure ◽  
International Conference ◽  
The Road

<p>Road infrastructure is expected to face extreme pressure due to ageing and climatic extremes [1] as evident by recent cases of flash floods followed by drought periods. Among the most vulnerable elements of civil infrastructure are considered to be the road embankments that are not expected to withstand the prospective flood extremes. Seepage and internal erosion patterns inside the body of embankments are difficult to be assessed with conventional methods (e.g. visual inspections) and therefore go undetected leading to irreversible effects with major disruption and costs to road asset owners and maintainers. Flood-induced hazards can cause sudden collapse of bridge infrastructure without prior warning, and with significant socio-economic impacts [2]. Various sensor applications have focused on the development of monitoring systems to assess in real-time hydro and geo-hazards [2, 3, 4, 5]</p><p>This study focuses on the development and application of a real-time geo-monitoring system at a pilot road embankment in Scotland (UK) to remotely assess the evolving characteristics of hydro-hazards. The system will also provide early warning of such hazards and timely information to asset owner for proactive actions and early maintenance to avoid irreversible and costly major rehabilitation activities.</p><p>[1] Michalis, P., Konstantinidis, F. and Valyrakis, M. (2019) The road towards Civil Infrastructure 4.0 for proactive asset management of critical infrastructure systems. Proceedings of the 2nd International Conference on Natural Hazards & Infrastructure (ICONHIC2019), Chania, Greece, 23–26 June 2019, pp.1-9.</p><p>[2] Koursari, E., Wallace, S., Valyrakis, M. and Michalis, P. (2019) The need for real time and robust sensing of infrastructure risk due to extreme hydrologic events, 2019 UK/ China Emerging Technologies (UCET), Glasgow, United Kingdom, 2019, pp. 1-3. doi: 10.1109/UCET.2019.8881865</p><p>[3] Michalis, P., Saafi, M. and Judd, M. (2012) Wireless sensor networks for surveillance and monitoring of bridge scour. Proceedings of the XI International Conference Protection and Restoration of the Environment - PRE XI. Thessaloniki, Greece, pp. 1345–1354</p><p>[4] Valyrakis M. and Alexakis, A. (2016) Development of a “smart-pebble” for tracking sediment transport. International Conference on Fluvial Hydraulics River Flow 2016, St. Liouis, MO, 8p.</p><p>[5] Michalis, P., Saafi, M. and M.D. Judd. (2012) Integrated Wireless Sensing Technology for Surveillance and Monitoring of Bridge Scour. Proceedings of the 6th International Conference on Scour and Erosion, France, Paris, pp. 395-402.</p><p><strong>Acknowledgements</strong>: This research project has been funded by Transport Scotland, under the 2019/20 Innovation Fund (Scheme ID19/SE/0401/032).</p>

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