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Submit Paper » Aims & Scope This Special Collection (SC) aims to provide a dedicated space for in-depth exploration and dissemination of advancements in uncertainty modeling and quantification of numerical methods in geotechnical engineering. The primary goal of this SC is to feature emerging developments, which address the calibration of soil or rock constitutive models developed in recent time, data-driven and physics-informed models for soil or rock constitutive relations, database assessment of the variability in geotechnical numerical predictions, and benchmark exercises for geotechnical analyses by commercial software....

Submit Paper » Engineering systems are increasingly complex. They need to meet advanced requirements for mission-critical fields with a low failure tolerance. As unexpected failures during the designed lifespan of a system may lead to catastrophic consequences, their reliability modeling and assessment are of utmost importance. The reliability modeling should achieve the assessment at a reasonable confidence level to help decision-makers arrive at sound decisions in practice. However, the modeling and assessment of real engineering systems often face an environment with a mixed uncertainty, due to either the inherent randomness (aleatory uncertainty) or a lack of knowledge (epistemic uncertainty)....

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....

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....