Example of ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering format
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Example of ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering format Example of ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering format Example of ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering format Example of ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering format Example of ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering format Example of ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering format Example of ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering format Example of ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering format Example of ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering format Example of ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering format Example of ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering format Example of ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering format Example of ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering format Example of ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering format
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Example of ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering format Example of ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering format Example of ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering format Example of ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering format Example of ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering format Example of ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering format Example of ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering format Example of ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering format Example of ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering format Example of ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering format Example of ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering format Example of ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering format Example of ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering format Example of ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering format
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ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering — Template for authors

Categories Rank Trend in last 3 yrs
Building and Construction #50 of 185 up up by 15 ranks
Safety, Risk, Reliability and Quality #51 of 165 up up by 14 ranks
Civil and Structural Engineering #104 of 318 up up by 20 ranks
journal-quality-icon Journal quality:
Good
calendar-icon Last 4 years overview: 193 Published Papers | 692 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 23/07/2020
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Related Journals

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Quality:  
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CiteRatio: 8.3
SJR: 1.644
SNIP: 2.582
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SJR: 0.95
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Journal Performance & Insights

CiteRatio

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

A measure of average citations received per peer-reviewed paper published in the journal.

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

3.6

CiteRatio for ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering from 2016 - 2020
Year Value
2020 3.6
2019 3.6
2018 2.9
2017 1.9
graph view Graph view
table view Table view

0.557

12% from 2019

SJR for ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering from 2018 - 2020
Year Value
2020 0.557
2019 0.635
2018 0.772
graph view Graph view
table view Table view

1.3

28% from 2019

SNIP for ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering from 2017 - 2020
Year Value
2020 1.3
2019 1.012
2018 1.044
2017 1.095
graph view Graph view
table view Table view

insights Insights

  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

  • SJR of this journal has decreased by 12% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has increased by 28% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering

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American Society of Civil Engineers

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering

The journal will meet the needs of the researchers and engineers to address risk, disaster and failure-related challenges due to many sources and types of uncertainty in planning, design, analysis, construction, manufacturing, operation, utilization, and life-cycle management ...... Read More

i
Last updated on
22 Jul 2020
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ISSN
2376-7642
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Acceptance Rate
Not provided
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Frequency
Quarterly
i
Open Access
No
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Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Citation Type
Author Year
(Blonder et al. 1982)
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Bibliography Example
Blonder, G. E., Tinkham, M., and Klapwijk, T. M. (1982). “Transition from metallic to tunneling regimes in superconducting microconstrictions: Excess current, charge imbalance, and supercurrent conversion.” Phys. Rev. B, 25(7), 4515–4532.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1061/AJRUA6.0000870
Rare Event Estimation Using Polynomial-Chaos Kriging
Roland Schöbi1, Bruno Sudret1, Stefano Marelli1

Abstract:

Structural reliability analysis aims at computing the probability of failure of systems whose performance may be assessed by using complex computational models (e.g., expensive-to-run finite-element models). A direct use of Monte Carlo simulation is not feasible in practice, unless a surrogate model (such as kriging, also kno... Structural reliability analysis aims at computing the probability of failure of systems whose performance may be assessed by using complex computational models (e.g., expensive-to-run finite-element models). A direct use of Monte Carlo simulation is not feasible in practice, unless a surrogate model (such as kriging, also known as Gaussian process modeling) is used. Such metamodels are often used in conjunction with adaptive experimental designs (i.e., design enrichment strategies), which allows one to iteratively increase the accuracy of the surrogate for the estimation of the failure probability while keeping low the overall number of runs of the costly original model. This paper develops a new structural reliability method based on the recently developed polynomial-chaos kriging (PC-kriging) approach coupled with an active learning algorithm known as adaptive kriging Monte Carlo simulation (AK-MCS). The problem is formulated in such a way that the computation of both small probabilities of fail... read more read less

Topics:

Surrogate model (59%)59% related to the paper, Kriging (58%)58% related to the paper, Monte Carlo method (55%)55% related to the paper, Gaussian process (54%)54% related to the paper, Polynomial chaos (52%)52% related to the paper
View PDF
198 Citations
Journal Article DOI: 10.1061/AJRUA6.0000826
Practical Resilience Metrics for Planning, Design, and Decision Making
Bilal M. Ayyub1

Abstract:

Natural disasters in 2011 alone resulted in $366 billion (2011 US$) in direct damages and 29,782 fatalities worldwide. Storms and floods accounted for up to 70% of the 302 natural disasters worldwide, with earthquakes producing the greatest number of fatalities. Managing these risks rationally requires an appropriate definiti... Natural disasters in 2011 alone resulted in $366 billion (2011 US$) in direct damages and 29,782 fatalities worldwide. Storms and floods accounted for up to 70% of the 302 natural disasters worldwide, with earthquakes producing the greatest number of fatalities. Managing these risks rationally requires an appropriate definition of resilience and associated metrics. This paper provides a resilience definition that meets a set of requirements with clear relationships to reliability and risk as key relevant metrics. The resilience definition proposed is of the intension type, which is of the highest order. Resilience metrics are reviewed, and simplified ones are proposed to meet logically consistent requirements drawn from measure theory. Such metrics provide a sound basis for the development of effective decision-making tools for multihazard environments. The paper also examines recovery, with its classifications based on level, spatial, and temporal considerations. Three case studies are developed ... read more read less

Topics:

Resilience (network) (66%)66% related to the paper
126 Citations
Journal Article DOI: 10.1061/AJRUA6.0001083
Scale of Fluctuation for Spatially Varying Soils: Estimation Methods and Values
Brigid Cami, Sina Javankhoshdel, Kok-Kwang Phoon1, Jianye Ching2

Abstract:

Spatial variability is one of the major sources of uncertainty in geotechnical applications. This variability is characterized customarily by the scale of fluctuation. Scale of fluctuation ... Spatial variability is one of the major sources of uncertainty in geotechnical applications. This variability is characterized customarily by the scale of fluctuation. Scale of fluctuation ... read more read less

Topics:

Scale (ratio) (66%)66% related to the paper
84 Citations
open accessOpen access Journal Article DOI: 10.1061/AJRUA6.0000816
Engineering Decisions under Risk Averseness
R. Tyrrell Rockafellar1, Johannes O. Royset2

Abstract:

Engineering decisions are invariably made under substantial uncertainty about current and future system cost and response, including cost and response associated with low-probability, high-consequence events. A risk-neutral decision maker would rely on expected values when comparing designs, while a risk-averse decision maker... Engineering decisions are invariably made under substantial uncertainty about current and future system cost and response, including cost and response associated with low-probability, high-consequence events. A risk-neutral decision maker would rely on expected values when comparing designs, while a risk-averse decision maker might adopt nonlinear utility functions or failure probability criteria. The paper shows that these models for making decisions are related to a framework of risk measures that includes many possibilities. The authors describe how risk measures provide an expanded set of models for handling risk-averse decision makers. General recommendations for selecting risk measures lead to decision models for risk-averse decision making that comprehensively represent risks in engineering systems, avoid paradoxes, and accrue substantial benefits in subsequent risk, reliability, and cost optimization. The paper provides an overview of the framework of decision making based on risk measures. read more read less

Topics:

Decision analysis (67%)67% related to the paper, Decision engineering (65%)65% related to the paper, Business decision mapping (63%)63% related to the paper, Risk analysis (62%)62% related to the paper, Optimal decision (60%)60% related to the paper
View PDF
78 Citations
Journal Article DOI: 10.1061/AJRUA6.0000809
Climate Impact Risks and Climate Adaptation Engineering for Built Infrastructure
Mark G. Stewart1, Xiaoli Deng1

Abstract:

A changing climate may increase the frequency or intensity of natural hazards, resulting in increased infrastructure damage. The paper will describe how risk-based approaches are well suited to optimising climate adaptation strategies related to the construction, design, operation, and maintenance of built infrastructure. Cli... A changing climate may increase the frequency or intensity of natural hazards, resulting in increased infrastructure damage. The paper will describe how risk-based approaches are well suited to optimising climate adaptation strategies related to the construction, design, operation, and maintenance of built infrastructure. Climate adaptation engineering involves estimating the risks, costs, and benefits of climate adaptation strategies and assessing at what point in time climate adaptation becomes economically viable. Stochastic methods are used to model infrastructure performance, risk reduction, and effectiveness of adaptation strategies, exposure, and costs. These concepts will be illustrated with recent research on risk-based life-cycle assessments of climate adaptation strategies for Australian housing subject to extreme wind events. This will pave the way for more efficient and resilient infrastructure, and help future proof new and existing infrastructure to a changing climate. read more read less

Topics:

Future proof (55%)55% related to the paper, Climate change (51%)51% related to the paper
View PDF
64 Citations
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13. What is Sherpa RoMEO Archiving Policy for ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering?

The 5 most common citation types in order of usage for ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

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