Special Issue on Modeling, Identification, and Control of Engineering Systems Under Uncertainty

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
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Modern engineering systems, from vibration-sensitive mechanical devices and safety-critical structures to aerospace, transportation, industrial, and energy applications, are increasingly equipped with advanced sensing, modeling, and control technologies to enhance safety, serviceability, and resilience. However, assessing and predicting their performance are inevitably affected by multiple sources of uncertainty, including variability in material and geometric properties, modeling simplifications, measurement noise, environmental effects, and the stochastic nature of external excitations.

Recent advances in health monitoring of engineering systems, system identification, and robust control offer new opportunities to address these challenges. Yet, a unified framework that consistently integrates modeling, identification, and control under uncertainty is still lacking. In this regard, the emphasis is on methodologies that not only quantify uncertainty, but actively incorporate it into decision-making process, shaping system-level performance across the entire operational lifecycle. This Special Issue therefore encourages contributions that address these interconnected aspects, to any extent, within an uncertainty-informed systems perspective.


Topic Areas

THE SCOPE OF THIS ISSUE INCLUDES BUT IS NOT LIMITED TO:
  • Modeling and simulation of dynamical systems under uncertainty
  • Operational modal analysis (OMA) and model updating with noisy, incomplete, or limited datasets
  • Robust, adaptive, and stochastic control strategies for uncertain systems
  • Data-driven and hybrid (physics-informed) modeling approaches
  • Digital twins and diagnostics of dynamical systems under uncertainty
  • Stochastic and non-stationary excitation modeling (wind, seismic, operational)
  • Risk- and reliability-based performance assessmen
  • Experimental and numerical validation of uncertainty-aware methods
  • Decision-making frameworks integrating uncertainty into modeling and control

Special Issue Publication Dates

Paper submission deadline: December 15, 2026
Initial review completed: March 15, 2027
Publication date: September 2027

Submission Instructions

Papers should be submitted electronically to the journal through the ASME Journal Tool. If you already have an account, log in as an author and select Submit Paper. If you do not have an account, you can create one here

Once at the Paper Submittal page, select the ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B: Mechanical Engineering, and then under the Special Issue field, select Special Issue on Modeling, Identification, and Control of Engineering Systems Under Uncertainty.

Papers received after the deadline or papers not selected for the Special Issue may be accepted for publication in a regular issue.

Guest Editors

Chiara Masnata, Engineering Department, University of Palermo, Palermo, Italy (chiara.masnata@unipa.it)

Antonina Pirrotta, Engineering Department, University of Palermo, Palermo, Italy (antonina.pirrotta@unipa.it)

Carmelo Gentile, Department of Architecture, Built environment and Construction engineering (DABC), Politecnico di Milano, Italy (carmelo.gentile@polimi.it)

Yongbo Peng, College of Civil Engineering, Tongji University, Shanghai, China (pengyongbo@tongji.edu.cn)

Alba Sofi, Department of Architecture and Design (dAeD), University Mediterranea of Reggio Calabria, Reggio Calabria, Italy (alba.sofi@unirc.it)