Risk-Based Decision Making for Sustainable and Resilient Infrastructure Systems

Lounis, Z; McAllister, Therese P.

doi:10.1061/(asce)st.1943-541x.0001545

Cited by 113 publications

(43 citation statements)

References 21 publications

(20 reference statements)

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“…Within the field of structural engineering, the vast developments in analytical modeling approaches and experimental testing techniques over the last few decades have led to significantly more complex and diverse research studies. These studies cover a wide spectrum of topics ranging from classical topics such as concrete material behavior (e.g., Schnobrich 1991;Al-Harthy and Frangopol 1994) to advanced technologies such as health monitoring (e.g., Sohn et al 2000;Li et al 2004) and, more recently, have covered societalfocused topics such as resilience and sustainability (e.g., Bonstrom and Corotis 2014;Cimellaro et al 2016;Lounis and McAllister 2016;Salem et al 2017). This resulted in an exploding number of relevant organized technical conferences and research articles.…”

Section: Objectives and Scopementioning

confidence: 99%

“…Red Oceans although emerging, our research output falls short in terms of addressing some key societal needs including for example topics such as resilience, sustainability, and lifecycle design (Bonstrom and Corotis 2014;Cimellaro et al 2016;Lounis and McAllister 2016;Salem et al 2017). Such topics were not identified with any appreciable percentage over the 26-year study period, or even when only the latest 5 years within that time window were considered.…”

Section: Blue Oceansmentioning

confidence: 99%

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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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Section: Objectives and Scopementioning

confidence: 99%

Section: Blue Oceansmentioning

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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“…This concept was expanded by Lounis & McAllister (2016) where they used a form of Life Cycle Cost Analysis (LCCA) to determine S&R impacts, and attempted to build a risk based framework to capture impacts. However, even though the aforementioned frameworks considered risk as a fundamental component, both frameworks lacked actual unification between sustainability and resiliency as proposed by (Bocchini et al 2014).…”

Section: Riskmentioning

confidence: 99%

“…The work presented here is a continuation of the work published by , where the feasibility of developing a unified S&R assessment framework focusing on the impact of earthquakes on earthen dams. Similarly to the framework proposed by Lounis and McAllister, (2016), the framework proposed here is based on LCA and uses a Bayesian approach to compute the probability of failure given the occurrence of a catastrophic event. However, the method of assessment presented here explicitly unifies sustainability assessment with the resiliency assessment while considering the risk of associated for both assessments.…”

Section: Proposed Frameworkmentioning

confidence: 99%

“…Arguably one of the more difficult sustainability metrics to quantify are the ones that revolve around social impacts. As a response to this difficulty, a commonality among most S&R assessment frameworks is to neglect the social impacts, as exemplified in work by Lounis and McAllister (2016). When considering civil infrastructure, the views on who may benefit and who may be disadvantaged from the construction of infrastructure may at times be vague.…”

Section: Social Impactsmentioning

confidence: 99%

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A Unified Risk-Based Framework for Assessing Sustainability and Resiliency of Civil Infrastructure

Robbins¹

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Graduate College. iv ACKNOWLEDGMENTS I would like to acknowledge Dr. Chittoori for his efforts in making this thesis possible. Without his guidance or understanding, I would not have been afforded the opportunity to research this topic, which is a construct of my own accord. v ABSTRACT As of February 2019, the National Aeronautics and Space Administration (NASA) has reported since 1880 the average global temperature has increased 1°C, withthe warmest year on record being 2016. As the years continue to pass, it is becoming more evident that climate change is occurring, which is known to be a catalyst for climatic weather events. Statistically speaking, these events are more prevalent, and catastrophic exemplified as hurricanes, earthquakes, flooding, and fires. In addition to the increase of potentially catastrophic events, society as a whole has become more conscientious in the use and preservation of natural resources, waste generation, and energy consumption. As the overall population continues to grow, the need for safe, secure and sustainable infrastructure increases. Civil infrastructure must be assessed to measure the level at which it will withstand impact from a catastrophic event, as well as how it is utilizing precious resources and energy.In consideration of these previously mentioned issues, several federal agencies, companies, and researchers have put forth an effort to measure and quantify the ability of civil infrastructure to withstand climatic catastrophes. Also, metrics to quantify sustainable construction are increasingly used as a common tool for infrastructure design and development. Most sustainability metrics consider the qualities of a system that revolve around the concept of sustainable development but fail to consider the resiliency of that system. Sustainability assessments are often discrete and will focus on one particular aspect or measure. Resiliency metrics are often overly complex and do not vi fully encapsulate the quality in a way that is pragmatic or useful to practitioners and engineers, or simply neglect sustainable construction methods.Proposed here is a framework that attempts to unify sustainability and resiliency assessment of geotechnical infrastructure, by considering the risk of failure given the probability of a catastrophic event. The framework is developed for use on geotechnical engineered systems, specifically an earthen dam used for flood control. A Bayesian analysis is used to determine the probability of failure given the occurrence of a catastrophic event, in conjunction with both a resiliency assessment, and sustainability assessments. This is to ensure that the sustainability index is jointly dependent upon the changes in resiliency given the occurrence of a catastrophic event. Two separate failure modes that are possible at the location of the earthen dam were modeled to determine the flexibility of the framework. Failure modes include seismic events, and rapid-drawdown and both were modeled with their associated probabilities. Results from the assessment ...

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Risk-Informed Approaches for Mitigating Impacts of Extreme and Abnormal Events in the Built Environment

Ellingwood

2021

Springer Tracts in Civil Engineering

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Our built environment is essential for community health and welfare. Even with proper design and construction to withstand demands imposed by occupancy, service requirements and natural environmental hazards, buildings and other civil infrastructure may be susceptible to damage due to events outside the design envelope, which may include extreme windstorms, earthquakes, flooding, accidents or intentional malevolence. The human and economic losses that result from such damage can be significant. Changes in design and construction practices over the past several decades have made some modern structural systems vulnerable to extreme and abnormal events. Social and political factors also have led to an increase in events that may pose a threat to civil infrastructure. Finally, public awareness of infrastructure performance and safety issues has increased markedly in recent years. The move toward risk-informed design, with its formal tools for analyzing uncertainties and consequences of damage or failures in the built environment, promises a level of coherence in decision-making that cannot be achieved by judgment alone, and increases the likelihood that judgements, when necessary, are consistent with logic and the available data. Codes and standards provide a highly visible forum for demonstrating economic and social benefits of risk-informed design. Chapter 3 explores the prospects of improving engineering practices to enhance facility robustness and to manage the risk of unacceptable damage from low-probability, high-consequence threats.

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Risk-Based Decision Making for Sustainable and Resilient Infrastructure Systems

Cited by 113 publications

References 21 publications

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

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

A Unified Risk-Based Framework for Assessing Sustainability and Resiliency of Civil Infrastructure

Risk-Informed Approaches for Mitigating Impacts of Extreme and Abnormal Events in the Built Environment

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