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ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems - Call for Papers

Part A: Civil Engineering, and Part B. Mechanical Engineering

The Editorial Board of the ASCE-ASME Journal invites contributions presenting state-of-the-art research and best practices for addressing risk, disaster and failure-related challenges arising from uncertainty. We particularly welcome emerging research relating to availability and processing of big data, including data driven decision support, machine learning and further computational intelligence tools relating to risk and uncertainty.

How to submit:

Part A:  https://ascelibrary.org/journal/ajrua6

Part B:  http://risk.asmedigitalcollection.asme.org/journal.aspx

Please contact the Editor or the Managing Editors by email if you have an interest to guest edit a special collection (Part A) or a special issue (Part B). Both Part A and Part B are listed in the  Emerging Sources Citation Index  by  Clarivate Analytics , formerly Thomson Reuters, with Part A being indexed since 2019. From 2016 onward, all articles are included in  Web of Science  and  Scopus .

Statement on Open Access

The editorial team motivates authors to share their pre-prints and/or accepted versions of their paper via institutional or other repositories, scientific social networks or personal websites in the spirit of Open Science. Please make sure to abide by embargos and other Journal Policies, which can be found  here for  part A  and  here for  part B

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Special Collection Announcements

In this issue of Part A Civil Engineering

(in progress)

Technical Paper

Optimized Approach toward Identification of Influential Cost Overrun Causes in Construction Industry Iman Youssefi and Tolga Celik

Technical Paper

Optimal Matching between Vehicle Speed and Lighting at Intersection Based on Traffic Risk Analysis Hongtao Li, Linhong Wang, Hongyu Hu and Yiming Bie

Technical Paper

Shear Performance of Large-Thickness Precast Shear Walls with Cast-in-Place Belts and Grouting Sleeves Linzi Fan, Jialong Wei, Yao Chen, Jian Feng and Pooya Sareh

Technical Paper

Comparison of Data-Driven Site Characterization Methods through Benchmarking: Methodological and Application Aspects Takayuki Shuku and Kok Kwang Phoon

Technical Paper

Driving Parameter Trends and a Safety Evaluation Method Based on the Composite Ratio for Shield Tunneling in Complex Strata Ning Yang, Xin Jin, Qingke Nie, Xiaoming Guan, Wenjun Zhang and Huifeng Liu

Technical Paper

Bayesian Analysis of Benchmark Examples for Data-Driven Site Characterization Antonis Mavritsakis, Timo Schweckendiek, Ana Teixeira, Eleni Smyrniou and Jonathan Nuttall

Technical Paper

Evolutionary Game Analysis for the Behaviors of Risk Allocation Participants in Public–Private Partnerships Yan Li

Technical Paper

Data-Driven Development of Three-Dimensional Subsurface Models from Sparse Measurements Using Bayesian Compressive Sampling: A Benchmarking Study Borui Lyu, Yue Hu and Yu Wang

In this issue of Part B Mechanical Engineering

Review Articles

[A Recent Review of Risk-Based Inspection Development to Support Service Excellence in the Oil and Gas Industry: An Artificial Intelligence Perspective (https://asmedigitalcollection.asme.org/risk/article/9/1/010801/1141024/A-Recent-Review-of-Risk-Based-Inspection) Taufik Aditiyawarman, Agus Paul Setiawan Kaban, Johny Wahyuadi Soedarsono

Research Papers

Mass Imbalance Diagnostics in Wind Turbines Using Deep Learning With Data Augmentation Shweta Dabetwar, Stephen Ekwaro-Osire, João Paulo Dias, Guilherme R. Hübner, Claiton M. Franchi, Humberto Pinheiro

Rolling Bearing Damage Evaluation by the Dynamic Process From Self-Induced Resonance to System Resonance of a Duffing System Shuai Zhang, Zhongqiu Wang, Jianhua Yang

Robust Dynamic Balancing of Dual Rotor-Active Magnetic Bearing System Through Virtual Trial Unbalances as Low and High Frequency Magnetic Excitation Gyan Ranjan, Rajiv Tiwari, H. B. Nemade

The Study of Artificial Intelligent in Risk-Based Inspection Assessment and Screening: A Study Case of Inline Inspection Taufik Aditiyawarman, Johny Wahyuadi Soedarsono, Agus Paul Setiawan Kaban, Rini Riastuti, Haryo Rahmadani

Evaluation of Risk and Uncertainty for Model-Predicted NOAELs of Engineered Nanomaterials Based on Dose-Response-Recovery Clusters Vignesh Ramchandran, Jeremy M. Gernand

A Set of Estimation and Decision Preference Experiments for Exploring Risk Assessment Biases in Engineering Students Jeremy M. Gernand

(preview of the next issue in progress)

Application of Multi Parameter Path Length Method for Resilience (MP-PLMR) to Engineering Systems Mahendra Prasad, V. Gopika, John Andrews

Establishment of the Off-Center Embedded Crack Stress Intensity Factor Database for Probabilistic Risk Assessment Based on Universal Weight Function Tongge Xu, Shuiting Ding, Huimin Zhou, Guo Li

Network Uncertainty Quantification for Analysis of Multi-Component Systems John Tencer, Edward Rojas, Benjamin B. Schroeder

Technical Brief

Mathematical Modeling for Carbon Dioxide Level Within Confined Spaces Lincan Yan, Dave S. Yantek, Cory R. DeGennaro, Rohan D. Fernando

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Editor:

 

Managing Editors:

 

Associate Managing Editors:

 

Early Career Editorial Board Members:

 

Contributing Editorial Board Member:

 

Founding Editor (2014-2021):

  • Bilal M. Ayyub, University of Maryland College Park

 

Editorial Board members:  Part A  &  Part B

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