Journal
JOURNAL OF MECHANICAL DESIGN
Volume 142, Issue 2, Pages -Publisher
ASME
DOI: 10.1115/1.4044322
Keywords
design optimization; robust design; uncertainty analysis; uncertainty modeling
Categories
Funding
- National Natural Science Foundation of China [51775491, 51490663]
- Science Fund for Creative Research Groups of National Natural Science Foundation of China [51821093]
- Fundamental Research Funds for the Central Universities [2019FZA4003]
Ask authors/readers for more resources
Robust optimization of complex uncertain structures usually involves multiple conflicting and competing structural performance indices. Present approaches for achieving the final design of such an optimization problem always involve a decision-making process, which is a demanding task that requires the rich experience and expert skills of designers. To overcome the difficulty, an interval robust equilibrium optimization approach is proposed to find the optimal design of complex uncertain structure based on the robust equilibrium strategy for multiple conflicting and competing structural performance indices. Specifically, a new concept of closeness and crossing coefficient between interval boundaries (CCCIBs) is proposed atfirst, based on which the tri-dimensional violation vectors of all interval constraints can be calculated and the feasibility of a design vector can be assessed. Then, the robust equilibrium assessment of multiple objective and constraint performance indices is investigated, based on the results of which the feasible design vectors can be directly ranked according to the robust equilibrium strategy for all structural performance indices. Subsequently, the algorithm for the robust equilibrium optimization of complex uncertain structures is developed by integrating the Kriging technique and nested genetic algorithm. The validity, effectiveness, and practicability of the proposed approach are demonstrated by two illustrative examples.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available