Special Issue on Reliability and Safety Analysis, Uncertainty Quantification, and Prognostics of Fuel Cells (SI065B)

Submit Paper » Fuel cells area vital component of renewable energy warranting significant consideration and ever-increasing applications. With the increase in the application of these systems, the need for safety analysis also increases. These systems can fail due to several reasons that can result in economic losses and catastrophes. Increasing the life expectancy of fuel cells is an important aspect that needs substantial attention. Hence, to avoid sudden failures and achieve better life expectancy the discovery, identification, and implementation of enhanced health indicators for effective diagnosis and prognosis is critical. ...

June 2, 2024 · 3 min · 428 words · Torsten Ilsemann

Newsletter May 2024 📩

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. ...

May 7, 2024 · 11 min · 2138 words · Eleni Chatzi

Special Collection on Vulnerability Analysis, Risk Management, and Uncertainty Modeling Analysis (SC064A)

Submit Paper » Background This Special Collection (SC) aims to provide a dedicated space for in-depth exploration and dissemination of advancements in vulnerability analysis, risk management, and uncertainty modeling. The primary goal of this SC is to feature emerging developments, which address hazards, risks and respective mitigation strategies towards resilience and sustainability of our infrastructure systems and the built environment. The contributions are supposed to provide key ideas, concepts and technologies to solve major challenges concerned with the high complexity and the multi-disciplinary character of the problems as well as with the comprehensive quantification, efficient processing and management of the involved uncertainties. By establishing this SC, we aim to foster a collaborative environment that encourages researchers to contribute high-quality works, sharing insights and innovations in the multifaceted fields of risk, uncertainty, and decision-making. ...

May 1, 2024 · 4 min · 658 words · Torsten Ilsemann

Newsletter January 2024 📩

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. ...

January 14, 2024 · 10 min · 2077 words · Eleni Chatzi

Special Collection on Risk and Reliability Analysis of Resilient Civil Engineering Structures with Vibration Control Devices (SC063A)

Submit Paper » Background The reliability of civil engineering structures is paramount for sustainable and resilient infrastructure. Ensuring robust behavior, particularly in the face of extreme events, is crucial for longevity and adaptability. This Special Collection focuses on a pivotal aspect of structural resilience: the control of vibrations, specifically addressing uncertainties. Scholars are invited to contribute original research papers exploring the nuanced interplay between vibration control and broader resilient civil engineering structures. This thematic issue serves as a guide for risk and reliability analysis, emphasizing the vital role of vibration control devices in reinforcing stability amidst uncertainty. ...

January 3, 2024 · 3 min · 465 words · Torsten Ilsemann

Table of Content: September 2023 📩

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. ...

September 8, 2023 · 7 min · 1336 words · Torsten Ilsemann

Special Collection on Uncertainty Quantification for Machine Learning in Engineering (SC062A)

Submit Paper » Background Understanding the data and reaching accurate conclusions are of paramount importance in the present era of Big Data. Machine learning has been widely used in academia and industry to analyze voluminous and intricate datasets to uncover hidden patterns and reach incisive insights. Whilst machine learning approaches have extraordinary potential and are increasingly employed to aid in various complicated tasks, their results are not wholly reliable due to the challenges introduced by data uncertainty (aleatory uncertainty) and model uncertainty (epistemic uncertainty). It is essential to accommodate uncertainties and provide uncertainty estimates to uncover beneficial information for a better decision-making process. To this end, the development and application of novel uncertainty quantification methods in tandem with different machine-learning-enhanced techniques are crucial to yield useful information and amplify the interpretability and reliability of the results. With this in mind, this SC will gather contributions presenting state-of-the-art breakthroughs in uncertainty quantification for machine learning. ...

July 31, 2023 · 3 min · 559 words · Torsten Ilsemann

Special Issue on Uncertainty-Aware Diagnostics and Prognostics for Health Monitoring and Risk Management of Engineered Systems (SI061B)

Submit Paper » In recent decades, fault diagnostics and failure prognostics have demonstrated their great potential for health monitoring and risk management of complex engineering systems, including smart factories, power plants, space systems, and heavy equipment. The credibility and applicability of fault diagnostics and failure prognostics, however, are significantly affected by various uncertainties, such as model uncertainty, data uncertainty, process uncertainty, environmental uncertainty, and the inherent uncertainty of engineered systems. Therefore, accurately quantifying the effects of these uncertainties is essential and one of the most widely-held concerns to ensure trustworthy decision-making based on diagnostic and prognostic results. The purpose of this special issue is to present the latest advancements in the field of uncertainty-aware diagnostics and prognostics for the health management of engineered systems. ...

July 18, 2023 · 3 min · 460 words · Torsten Ilsemann

Newsletter July 2023 📩

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. ...

July 12, 2023 · 10 min · 2097 words · Eleni Chatzi

Table of Content: June 2023 📩

Hi there, here is the current table of content. Click to download the PDF 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. ...

May 18, 2023 · 6 min · 1252 words · Torsten Ilsemann
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