Reliability and Risk Analysis of Structures and Applications to Design and Optimization, 2nd Edition

Dear Colleagues,

This Special Issue is a continuation of our previous Special Issue entitled “Reliability and Risk Analysis of Structures and Applications to Design and Optimization”.

This Special Issue focuses on recent advancements in structural reliability and risk analysis and their applications in design and optimization. Research developments in structural reliability and risk analysis have accompanied growing attention to sustainability, resilience, and integrity of engineering systems, including structures and infrastructure under uncertainties in research communities and practice. Increasing computational power and efficiency have facilitated the development of diverse methods and simulation techniques for the reliability and risk analysis of complex and complicated systems. This issue is devoted to the latest theoretical and numerical developments in reliability assessment and analyzing risks associated with structures and structural systems.

Reliability analysis and uncertainty quantification techniques are increasingly incorporated in practice, with the integration of multi-objective, multi-scale formulations, high-performance gradient-based/heuristic optimization algorithms, machine learning, and parallel computing for reliable and robust structural design and optimization. These advancements are instrumental in ensuring the reliability and robustness of structural design and optimization. The utilization of these tools in engineering challenges has been beneficial for both academic researchers and practicing engineers. Thus, this Special Issue will highlight the latest research developments in reliability-based design, engineering, and optimization, all geared toward enhancing the safety and reliability of structures.

The scope and topics of this issue include, but are not limited to structural system reliability; methods of reliability and risk assessment of a structure or structural system; reliability modeling and prediction; time-invariant and time-variant reliability and risk analysis; random vibration; machine learning, sensitivity analysis; algorithmic developments in reliability/robust based design optimization; novel applications of structural reliability methods and risk analysis in diverse areas such as structural mechanics, construction material, and design; data-driven uncertainty quantification and risk analysis.

We welcome original research papers, and review articles with new insights and perspectives on pioneering developments and their applications, including industrial case studies. All papers submitted for consideration in this Special Issue will undergo a rigorous peer-review process to ensure the wide dissemination of research findings, technological advancements, and the introduction of novel methodologies and their practical applications. We warmly encourage experts in these fields to share their contributions with us for publication in this Special Issue.

Dr. Junho Chun
Dr. Won-Hee Kang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• structural reliability
• risk analysis
• reliability-based design and optimization
• system reliability
• complex systems
• machine learning
• data-driven uncertainty quantification

• Reliability and Risk Analysis of Structures and Applications to Design and Optimization in Applied Sciences (11 articles)