Highway Capacity Manual改訂の動向--テイラ-教授の講演より

In infrastructure management, multi-criteria decision-making (MCDM) has emerged as a decision support tool to integrate various technical information and stakeholder values. Different MCDM techniques and tools have been developed. This paper presents a comprehensive review on the application of MCDM literature in the field of infrastructure management. Approximately 300 published papers were identified that report MCDM applications in the field of infrastructure management during 1980–2012. The reviewed papers are classified into application to the type of infrastructure (e.g. bridges and pipes), and prevalent decision or intervention (e.g. repair and rehabilitate). In addition, the papers were also classified according to MCDM methods used in the analysis. The paper provides taxonomy of those articles and identifies trends and new developments in MCDM methods. The results suggest that there is a significant growth in MCDM applications in infrastructure management applications of MCDM over the last decade...

A review of multi-criteria decision-making methods for infrastructure management

A quantitative method for assessing resilience of interdependent infrastructures

Structural systems are under deterioration due to ageing, mechanical stressors, and harsh environment, among other threats Corrosion and fatigue can cause gradual structural deterioration Moreover, natural and man-made hazards may lead to a sudden drop in the structural performance Inspection and maintenance actions are performed to monitor the structural safety and maintain the performance over certain thresholds However, these actions must be effectively planned throughout the life-cycle of a system to ensure the optimum budget allocation and maximum possible service life without adverse effects on the structural system safety Life-cycle engineering provides rational means to optimise life-cycle aspects, starting from the initial design and construction to dismantling and replacing the system at the end of its service life This paper presents a brief overview of the recent research achievements in the field of life-cycle engineering for civil and marine structural systems and indicates future dire

Life-cycle of structural systems: recent achievements and future directions

Community resilience has been addressed across multiple disciplines including environmental sciences, engineering, sociology, psychology, and economics. Interest in community resilience gained momentum following several key natural and human-caused hazards in the United States and worldwide. To date, a comprehensive community resilience model that encompasses the performance of all the physical and socio-economic components from immediate impact through the recovery phase of a natural disaster has not been available. This paper summarizes a literature review of previous community resilience studies with a focus on natural hazards, which includes primarily models of individual infrastructure systems, their interdependencies, and community economic and social systems. A series of national and international initiatives aimed at community resilience are also summarized in this study. This paper suggests extensions of existing modeling methodologies aimed at developing an improved, integrated understanding of resilience that can be used by policy-makers in preparation for future events.

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State of the research in community resilience: progress and challenges.

This paper proposes a probabilistic approach for the pre-event assessment of seismic resilience of bridges, including uncertainties associated with expected damage, restoration process, and rebuilding/rehabilitation costs. A fragility analysis performs the probabilistic evaluation of the level of damage (none, slight, moderate, extensive, and complete) induced on bridges by a seismic event. Then, a probabilistic six-parameter sinusoidal-based function describes the bridge functionality over time. Depending on the level of regional seismic hazard, the level of performance that decision makers plan to achieve, the allowable economic impact, and the available budget for post-event rehabilitation activities, a wide spectrum of scenarios are provided. Possible restoration strategies accounting for the desired level of resilience and direct and indirect costs are investigated by performing a Monte Carlo simulation based on Latin hypercube sampling. Sensitivity analyses show how the recovery parameters affect the resilience assessment and seismic impact. Finally, the proposed approach is applied to an existing highway bridge located along a segment of I-15, between the cities of Corona and Murrieta, in California. Copyright © 2013 John Wiley & Sons, Ltd.

A probabilistic approach for the prediction of seismic resilience of bridges

The aim of this paper is to provide a rational framework for the quantitative risk assessment of highway bridges under multiple hazards. Risk is a crucial indicator to be considered when managing structures of great importance such as highway bridges. It associates the consequences of a structural failure or malfunction with the probability of bridge failure. Time-dependent total risk is computed and the effect of structural redundancy is investigated and implemented. The proposed framework includes the estimation of the effects of multiple common hazards such as abnormal traffic loads, environmental attacks, scour, and earthquakes. The failure probabilities associated with the considered hazards are evaluated separately using different approaches. Time-dependent failure probabilities, hazard functions, and probability density functions of the time-to-failure are also assessed for each hazard. These assessments contribute to the evaluation of risk considering the traffic flow and the local economy at the ...

Risk assessment of highway bridges under multiple hazards

This paper presents a rational framework for the quantitative assessment of life-cycle risk of bridges within a transportation network. Bridge vulnerability is evaluated with respect to seismic and...

Alberto Decò

Papers

A probabilistic approach for the prediction of seismic resilience of bridges

Risk assessment of highway bridges under multiple hazards

Life-Cycle Risk Assessment of Spatially Distributed Aging Bridges under Seismic and Traffic Hazards:

Integration of structural health monitoring in life-cycle performance assessment of ship structures under uncertainty

Probabilistic functionality recovery model for resilience analysis