Robust high-cycle fatigue stress threshold optimization under uncertain loadings
نویسندگان
چکیده
منابع مشابه
experimental examination of intact and cfrp retrofitted rc beams under monotonic and high cycle fatigue loadings
the aim of this research is to investigate the effect of carbon fiber reinforced polymer (cfrp) composite fabric on monotonic and fatigue behaviors of reinforced concrete beams. to control the failure occurrence, a small notch was induced at the middle span in bottom surface for all of the studied rc specimens. totally 12 beams were tested from which 6 beams tested under monotonic and 6 other t...
متن کاملRobust Optimization-Based Generation Self-Scheduling under Uncertain Price
This paper considers generation self-scheduling in electricity markets under uncertain price. Based on the robust optimization denoted as RO methodology, a new self-scheduling model, which has a complicated max-min optimization structure, is set up. By using optimal dual theory, the proposed model is reformulated to an ordinary quadratic and quadratic cone programming problems in the cases of b...
متن کاملRobust location transportation problems under uncertain demands
In robust optimization, the multi-stage context (or dynamic decision-making) assumes that the information is revealed in stages. So, part of the decisions must be taken before knowing the real values of the uncertain parameters, and another part, called recourse decisions, is taken when the information is known. In this paper, we are interested in a robust version of the location transportation...
متن کاملRobust Online Optimization of Reward-Uncertain MDPs
Imprecise-reward Markov decision processes (IRMDPs) are MDPs in which the reward function is only partially specified (e.g., by some elicitation process). Recent work using minimax regret to solve IRMDPs has shown, despite their theoretical intractability, how the set of policies that are nondominated w.r.t. reward uncertainty can be exploited to accelerate regret computation. However, the numb...
متن کاملNonlinear Robust Optimization with Uncertain Equality Constraints
The problem of nonlinear optimization for process design under uncertainty is addressed in this paper. A novel robust optimization framework is proposed to address general nonlinear problems under uncertainty. To address the limitation of single point linearization with respect to uncertain parameters for a large uncertainty region, an iterative algorithm is developed. The new method applies lo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Latin American Journal of Solids and Structures
سال: 2012
ISSN: 1679-7825
DOI: 10.1590/s1679-78252012000500006