In this paper, a road-health-monitoring system that contains data obtaining, processing, and result evaluation is developed. https://lnkd.in/gGGBtMfs
ASCE-ASME Journal of Risk and Uncertainty in Engineering
图书期刊出版业
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems
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About the Journal Purpose ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering disseminates research findings, best practices and concerns, and discussion and debate on risk and uncertainty related issues. The journal reports on the full range of risk and uncertainty analysis state-of-art and state-of-practice relating to mechanical engineering, including but not limited to risk quantification based on hazard identification, scenario development and rate quantification, consequence assessment, valuations, perception, communication, risk-informed decision making, uncertainty analysis and modeling, and other related areas. Scope: Specific topic areas including, but not limited to: Risk Analysis Methods; Uncertainty Analysis and Quantification; Management, Financial, and Insurance Issues; Computational Methods Applications areas include every aspect of mechanical engineering systems such as: - Mechanical Assets and Infrastructure - Human Factors, Accidents and Disasters - Materials and Electromechanical - Energy including Renewables - Manufacturing - Sustainability and Resilience - Water Resources, Coastal and Ocean Systems - Climate Risk and Adaptation - Bioengineering - Nuclear Engineering - Information Storage and Processing Including Big Data - Project Management and Construction Engineering Frequency: Quarterly ISSN: 2332-9017 eISSN: 2332-9025 CODEN: AJRUB7 Title History ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering (ISSN: 2332-9017), 2014 - Present Links: Submit a paper: https://journaltool.asme.org/home/ Author resources: https://journaltool.asme.org/Content/AuthorResources.cfm Indexing information: https://journaltool.asme.org/home/JournalDescriptions.cfm?JournalID=27&Journal=RISK Order journal: https://www.asme.org/kb/journals/subscriptions Announcements and call for papers: https://www.asme.org/shop/journals/administration/call-for-paper
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ASCE-ASME Journal of Risk and Uncertainty in Engineering 的外部链接
- 所属行业
- 图书期刊出版业
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- 11-50 人
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- New York
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US,New York
ASCE-ASME Journal of Risk and Uncertainty in Engineering 员工
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The Ayyub-Wiechel Risk Analysis Award has been established by Safety Engineering & Risk Analysis Division (SERAD) to honor individuals who have made remarkable contributions to the field of risk, reliability, and safety. See more info here: https://lnkd.in/gbFFvvkE
The ASME Ayyub-Wiechel Risk Analysis Award
asmedigitalcollection.asme.org
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This study provides a comprehensive overview of the development and applications of Bayesian approaches in construction management. https://lnkd.in/g-me2iMd
Advantages and Limitations of Bayesian Approaches to Decision-Making in Construction Management: A Critical Review (1988–2023) | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering | Vol 10, No 4
ascelibrary.org
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This paper proposes an operational influence line identification approach for high-speed railway (HSR) bridges based on train-induced responses only. https://lnkd.in/gavAAvFA
Operational Influence Line Identification of High-Speed Railway Bridge Considering Uncertainty of Train Load | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering | Vol 10, No 4
ascelibrary.org
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This study proposes an efficient multi-fidelity approach that leverages both high-fidelity and low-fidelity models via information fusion to enhance low-fidelity models with only a few high-fidelity model evaluations for unreinforced masonry walls. https://lnkd.in/g3X6SZM8
Enhanced Prediction and Uncertainty Analysis for In-Plane and Out-of-Plane Resistance of Unreinforced Masonry Walls: A Multifidelity Approach | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering | Vol 10, No 4
ascelibrary.org
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In this study, a risk-based safety insurance grading technique (SIGT) was set up for safety insurance assessment of chemical enterprises. https://lnkd.in/gQ4RaktF
Research and Application of Risk-Based Safety Insurance Technology for Petrochemical Plants | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering | Vol 10, No 4
ascelibrary.org
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This paper introduces a stress resultant–based approach for Bayesian model updating independent of mass assumptions. https://lnkd.in/gRStFTPW
Stress Resultant–Based Approach to Mass Assumption–Free Bayesian Model Updating of Frame Structures | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering | Vol 10, No 4
ascelibrary.org
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ASCE-ASME Journal of Risk and Uncertainty in Engineering 转发了
Ph.D. in Risk & Uncertainty Quantification for Engineering | Research Fellow @ Singapore Nuclear Research and Safety Institute | Early-Career Researcher | #MakeScienceOpen
Pleased to share that our technical paper which delves into the development of a mathematical framework to perform reliability analysis on complex coherent systems, under limited data, with Confidence-boxes is finally published in the ASCE-ASME Journal of Risk and Uncertainty in Engineering Part A: Civil Engineering. The research work is the result of an international collaboration between the University of Liverpool, Université de Technologie de Compiègne, Thailand Institute of Nuclear Technology, and the National University of Singapore, which spans across four countries: ???? ???? ???? ???? We would like to extend our gratitude to Professors Sebastien Destercke, Mohamed Sallak, Scott Ferson, Dr Sicong Xiao, and Wasin Vechgama for their technical support and guidance during the course of realizing the work. Without them, we would not have made it, and for that, Thank YOU!!! ?? The published work aims to fulfill three objectives: 1) ?? to review the mathematical formalism behind the "AND" and "OR" logical operations under independence and uncertain dependencies between components for reliability analysis; 2) ??to review the mathematical framework behind the non-consonant confidence-boxes, and its applicability towards computing "tail-risks" (i.e., one-sided risk probability); 3) ?? to illustrate and evaluate the strengths and limitations of the proposed framework to compute reliability with confidence-boxes via three case studies: ? Pressure vessel system ? Nuclear reactor system ? Bridge system; 4)??to provide perspectives on the research gaps and the future works that can be undertaken from here on. As such, the scientific contributions of the paper are: ? ?? to allow for the propagation of uncertainties through a Boolean mathematical structure given only the "k-out-of-N" reliability data; ? ?? to provide a frequentist approach to computing the reliability of complex coherent systems with confidence intervals, whilst providing a form of statistical guarantee on the results; ? ?? to extend the reliability analysis with imprecise probabilities by considering the uncertain dependencies between the system components; ? ?? to provide insights on the research gaps that are yet to be addressed by the work, thereby highlighting the future research directions on the topic. We hope that the work would serve its intended purpose, and provides a significant contribution to the risk and reliability engineering field. Your support is greatly appreciated. Feedbacks and suggestions to move this work forward are more than welcomed! Access to the paper: https://lnkd.in/eArAcnKv #ProbabilisticRiskAssessment #ReliabilityAnalysis #ImpreciseProbability #ProbailityBoundsAnalysis #CivilEngineering #MonteCarlo #Safety #Year2 #PostDocLife #SNRSI #TrustTheProcess #AllOrNothing #ASCE
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In this paper, a mode sensitivity enhancement method for beam bridge using high-density strain feedback is proposed, in which high density dynamic strain measurements of the girder structure can be collected by distributed fiber sensor. https://lnkd.in/gqTbMkBw
A Mode Sensitivity Enhancement Method for Beam Bridge Using High-Density Strain Feedback
asmedigitalcollection.asme.org
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This paper demonstrates that even for small levels of equivalent viscous damping, a combination of sources can have a significant impact on the estimate of the fragility of a wind turbine in operational conditions. https://lnkd.in/gJvtS9jF
Impact of Sources of Damping on the Fragility Estimates of Wind Turbine Towers
asmedigitalcollection.asme.org