State of the Art of Multihazard Design

Bruneau, Michel; Barbato, Michele; Padgett, Jamie E.; Zaghi, Arash E.; Mitrani-Reiser, Judith; Li, Yue

doi:10.1061/(asce)st.1943-541x.0001893

Cited by 48 publications

(15 citation statements)

References 203 publications

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“…This classification includes terminology from previous studies, i.e. Gill and Malamud (2014); Bruneau et al (2017), but also includes the nature of the hazards and introduces the temporal variability of hazard occurrences and restoration measures.…”

Section: Classification Of Multiple Hazards For Critical Infrastructurementioning

confidence: 99%

Resilience assessment framework for critical infrastructure in a multi-hazard environment: Case study on transport assets

Argyroudis

Mitoulis

Hofer

et al. 2020

Science of The Total Environment

193

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The exposure of critical infrastructure to natural and human-induced hazards has severe consequences on world economies and societies. Therefore, resilience assessment of infrastructure assets to extreme events and sequences of diverse hazards is of paramount importance for maintaining their functionality. Yet, the resilience assessment commonly assumes single hazards and ignores alternative approaches and decisions in the restoration strategy. It has now been established that infrastructure owners and operators consider different factors in their restoration strategies depending on the available resources and their priorities, the importance of the asset and the level of damage. Currently, no integrated framework that accounts for the nature and sequence

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Section: Classification Of Multiple Hazards For Critical Infrastructurementioning

confidence: 99%

Resilience assessment framework for critical infrastructure in a multi-hazard environment: Case study on transport assets

Argyroudis

Mitoulis

Hofer

et al. 2020

Science of The Total Environment

193

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“…Hazard interactions and cascading effects can be classified differently, while modelling of multiple hazards is a relatively new endeavour (Ayyub 2014;Gill and Malamud 2014;Zaghi et al 2016;Liu et al 2016;Bruneau et al 2017). The available fragility models that account for hazard interactions at the vulnerability level are limited and mainly focused on bridges.…”

Section: Modelling Of Multiple Hazards and Cascading Effectsmentioning

confidence: 99%

Fragility of transport assets exposed to multiple hazards: State-of-the-art review toward infrastructural resilience

Argyroudis

Mitoulis

Winter

et al. 2019

Reliability Engineering & System Safety

180

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Vulnerability is a fundamental component of risk and its understanding is important for characterising the reliability of infrastructure assets and systems and for mitigating risks. The vulnerability analysis of infrastructure exposed to natural hazards has become a key area of research due to the critical role that infrastructure plays for society and this topic has been the subject of significant advances from new data and insights following recent disasters. Transport systems, in particular, are highly vulnerable to natural hazards, and the physical damage of transport assets may cause significant disruption and socioeconomic impact. More importantly, infrastructure assets comprise Systems of Assets (SoA), i.e. a combination of interdependent assets exposed not to one, but to multiple hazards, depending on the environment within which these reside. Thus, it is of paramount importance for their reliability and safety to enable fragility analysis of SoA subjected to a sequence of hazards. In this context, and after understanding the absence of a relevant study, the aim of this paper is to review the recent advances on fragility assessment of critical transport infrastructure subject to diverse geotechnical and climatic hazards. The effects of these hazards on the main transport assets are summarised and common damage modes are described. Frequently in practice, individual fragility functions for each transport asset are employed as part of a quantitative risk analysis (QRA) of the infrastructure. A comprehensive review of the available fragility functions is provided for different hazards. Engineering advances in the development of numerical fragility functions for individual assets are discussed including soilstructure interaction, deterioration, and multiple hazard effects. The concept of SoA in diverse ecosystems is introduced, where infrastructure is classified based on (i) the road capacity and speed limits and (ii) the geomorphological and topographical conditions. A methodological framework for the development of numerical fragility functions of SoA under multiple hazards is proposed and demonstrated. The paper concludes by detailing the opportunities for future developments in the fragility analysis of transport SoA under multiple hazards, which is of paramount importance in decision-making processes around adaptation, mitigation, and recovery planning in respect of geotechnical and climatic hazards.

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“…Consequently, more than ever before, there is a pressing need for new effective quantitative techniques to understand where the structural engineering research community has been heading and how far the community is from identifying and closing key knowledge gaps. To the best of the authors' knowledge, no metaresearch studies have been reported on structural engineering to date using TM in contrast to the typical state-of-the-art articles that are based on qualitative techniques (e.g., Spencer and Nagarajaiah 2003;Zhao and Zhang 2007;El-Dakhakhni and Ashour 2017;Bruneau et al 2017).…”

Section: Objectives and Scopementioning

confidence: 99%

Metaresearching Structural Engineering Using Text Mining: Trend Identifications and Knowledge Gap Discoveries

Ezzeldin

El‐Dakhakhni

2020

J. Struct. Eng.

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The significant increase in the number of journal paper submissions/publications in the last decades has been paralleled by a shift to (mainly) on-line publication and digital archiving of past research articles. This situation has created an opportunity to metaresearch (conduct research on research) structural engineering through benefiting from emerging computational techniques such as data mining to track historical and current research focuses and trends and to better identify evolving research themes and discover possible cross-cutting knowledge gaps. Such metaresearch can benefit all structural engineering community stakeholders (e.g., researchers, designers, and funding agencies) in multiple ways including research resource realignments and optimizations to meet current and future research needs. The current study utilizes text mining-a class of data mining-to analyze published structural engineering research over 26 years. The considered dataset represents more than 11,000 articles, published in the two leading structural engineering journals (Journal of Structural Engineering and Engineering Structures) from 1991 to 2016. Following the collection and preparation of the training and testing datasets, the latent Dirichlet allocation (LDA) topic modeling technique is utilized to identify, classify, and categorize articles in terms of their topics, characterized by relevant technical terms. Subsequently, quantitative analyses are used to evaluate the temporal inclusion trends within the 11,000 article dataset. The LDA technique is also reapplied on only articles published between 2012 and 2016, to identify recent research topic developments and investigate the correlation between these topics and their counterparts covering the entire 26-year study period. Finally a word co-occurrence network and a topic interlinkage matrix are also developed, providing visual tools to rapidly evaluate structural engineering research subfield co-occurrences and linkage strengths. The overarching aim of this metaresearch is to identify understudied intersections of structural engineering subfields and highlight Blue Ocean opportunities at the interfaces of structural engineering and other established fields and emerging technologies. individual papers. This paper is part of the Journal of Structural Engineering, © ASCE, ISSN 0733-9445. © ASCE 04020061-1 J. Struct. Eng. J. Struct. Eng., 2020, 146(5): 04020061 Downloaded from ascelibrary.org by 44.224.250.200 on 07/03/20. Copyright ASCE. For personal use only; all rights reserved. © ASCE 04020061-2 J. Struct. Eng. J. Struct. Eng., 2020, 146(5): 04020061 Downloaded from ascelibrary.org by 44.224.250.200 on 07/03/20. Copyright ASCE. For personal use only; all rights reserved. © ASCE 04020061-3 J. Struct. Eng. J. Struct. Eng., 2020, 146(5): 04020061 Downloaded from ascelibrary.org by 44.224.250.200 on 07/03/20. Copyright ASCE. For personal use only; all rights reserved. © ASCE 04020061-5 J. Struct. Eng. J. Struct. Eng., 2020, 146(5): 04020061 Downloaded from ascelibrary.org by 44....

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State of the Art of Multihazard Design

Cited by 48 publications

References 203 publications

Resilience assessment framework for critical infrastructure in a multi-hazard environment: Case study on transport assets

Resilience assessment framework for critical infrastructure in a multi-hazard environment: Case study on transport assets

Fragility of transport assets exposed to multiple hazards: State-of-the-art review toward infrastructural resilience

Metaresearching Structural Engineering Using Text Mining: Trend Identifications and Knowledge Gap Discoveries

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