Table of Content

Advanced Methods for Uncertainty-oriented Structural Analysis and Design Optimization

Submission Deadline: 30 June 2023 (closed)

Guest Editors

Prof. Zhiping Qiu, Beihang University, China
Prof. Xiaojun Wang, Beihang University, China
Prof. Lei Wang, Beihang University, China
Dr. Zhangming Wu, Cardiff University, UK


With the dramatically rapid development of science and technology, the complexity of engineering structures promotes greatly, and people's high-performance requirements for structural analysis and design optimization are also getting higher. In practical engineering problems, due to the unavoidable uncertainties originating from the aging of materials, manufacturing instability, measurement errors and loads fluctuation, there may appear significant deviations between the actual structural response and the response predicted by the deterministic analysis. Besides, it is often especially expensive and time-consuming to obtain sufficient sample points from experiments for credible probability distribution functions. Therefore, it is of vital importance and necessity to develop advanced methods to take the uncertainties involved into account in structural analysis and design optimization issues.


It is our pleasure to invite you to submit a manuscript for this Special Issue covering the latest interesting research results from both the scientific and industrial societies. This area of expertise may contain analytical models, different numerical methods, as well as experimental approaches. We believe that experiences from research communities representing a wide area of engineering needs can satisfy a wide scientific audience.

Potential topics include but are not limited to the following:

• New statistical/non-statistical theories of uncertainty quantification

• Uncertain response computing modeling for dynamic mechanical systems

• Robustness and reliability assessment for practical engineering problems

• Uncertainty-based design optimization policies

• Inverse problems in mechanics with multi-source uncertainties

• Robust and Reliable control in engineering vibratory systems

• Fatigue life prediction and damage tolerance design with noises

• Advanced analysis and design methods in composite materials and structures

• Software or algorithm programming of uncertainty-based methods

• Future strategies of uncertainty-oriented numerical and test methods

• Non-probabilistic reliability-based topology optimization for integrated material-structure design


Uncertainty quantification and propagation; robustness and reliability; uncertainty-based design optimization; robust optimization framework; multidisciplinary design optimization

Published Papers

  • Open Access


    Reliability-Based Topology Optimization of Fail-Safe Structures Using Moving Morphable Bars

    Xuan Wang, Yuankun Shi, Van-Nam Hoang, Zeng Meng, Kai Long, Yuesheng Wang
    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.3, pp. 3173-3195, 2023, DOI:10.32604/cmes.2023.025501
    (This article belongs to this Special Issue: Advanced Methods for Uncertainty-oriented Structural Analysis and Design Optimization)
    Abstract This paper proposes an effective reliability design optimization method for fail-safe topology optimization (FSTO) considering uncertainty based on the moving morphable bars method to establish the ideal balance between cost and robustness, reliability and structural safety. To this end, a performance measure approach (PMA)-based double-loop optimization algorithm is developed to minimize the relative volume percentage while achieving the reliability criterion. To ensure the compliance value of the worst failure case can better approximate the quantified design requirement, a p-norm constraint approach with correction parameter is introduced. Finally, the significance of accounting for uncertainty in the fail-safe design is illustrated by… More >

    Graphic Abstract

    Reliability-Based Topology Optimization of Fail-Safe Structures Using Moving Morphable Bars

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