Submission Deadline: 31 May 2026 View: 301 Submit to Special Issue
Prof. Zhiping Qiu
Email: zpqiu@buaa.edu.cn
Affiliation: School of Aeronautic Science and Engineering, Institute of Solid Mechanics, Beihang University, 100191, Beijing, China
Research Interests: structural dynamics, computational solid mechanics, structural strength, structural reliability, fatigue analysis, durability and damage tolerance design, structural optimization design, random vibration, composites mechanics, intelligent material structure, aeroelasticity mechanics, thermodynamics, non-linear problems in mechanics, etc.
Prof. Xiaojun Wang
Email: xjwang@buaa.edu.cn
Affiliation: Institute of Solid Mechanics, School of Aeronautic Science and Engineering, Beihang University, 100083, Beijing, China
Research Interests: computational solid mechanics, structural reliability, multidisciplinary optimization design, structural damage identification and health monitoring, structural load identification
Structural reliability and computational solid mechanics together address a central challenge in engineering: predicting the behavior and safety of structural systems under uncertainty. Structures in aerospace, mechanical, civil, and other domains are increasingly designed to operate under complex loads, harsh environments, and material variability. Accurate modeling of their behavior and robust evaluation of their reliability is essential to ensure safety, efficiency, and performance.
This research area integrates advanced methods in numerical simulation and uncertainty modeling. Probabilistic approaches and nonprobabilistic methods are widely used to model uncertainties. Meanwhile, developments in computational solid mechanics—including multiscale modeling, high-performance computing, and machine learning techniques—offer new capabilities for simulating and analyzing structural systems with increasing realism and efficiency.
The areas of structural reliability and computational solid mechanics include Reliability-Based Design Optimization (RBDO), Robust Design, Surrogate Modeling, Stochastic Mechanics, Interval and Fuzzy Methods, Inverse Problems, Machine Learning-Assisted Simulation, and more. These approaches have significant applications in various engineering sectors, including aerospace structures, resilient infrastructure, smart materials, energy systems, and structural health monitoring.
This special issue aims to attract the latest research results and innovative solutions at the interface of structural reliability and computational solid mechanics. Both theory-focused and application-driven studies are welcome, especially those that demonstrate strong technical depth or practical relevance to emerging engineering challenges.
Potential topics include, but are not limited to the following:
• Probabilistic and nonprobabilistic modeling of structural uncertainty
• Reliability-based and robust design optimization (RBDO/RDO)
• Stochastic finite element and meshfree methods
• Interval analysis, fuzzy set theory, and evidence theory in mechanics
• Surrogate modeling and reduced-order modeling for uncertainty quantification
• Inverse problems and model updating under uncertainty
• Multiscale and multiphysics modeling with uncertainty propagation
• Sensitivity analysis and uncertainty decomposition methods
• Data-driven and AI-enhanced reliability analysis
• Applications in aerospace, mechanical, civil, marine, and energy systems
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