A critical review of surrogate assisted robust design optimization
Robust design optimization (RDO) has been eminent, ascertaining optimal configuration of
engineering systems in presence of uncertainties. However, computational aspect of …
engineering systems in presence of uncertainties. However, computational aspect of …
Level set based robust shape and topology optimization under random field uncertainties
A robust shape and topology optimization (RSTO) approach with consideration of random
field uncertainty in loading and material properties is developed in this work. The proposed …
field uncertainty in loading and material properties is developed in this work. The proposed …
A new level-set based approach to shape and topology optimization under geometric uncertainty
Geometric uncertainty refers to the deviation of the geometric boundary from its ideal
position, which may have a non-trivial impact on design performance. Since geometric …
position, which may have a non-trivial impact on design performance. Since geometric …
Sampling-based RBDO using the stochastic sensitivity analysis and dynamic Kriging method
This paper presents a sampling-based RBDO method using surrogate models. The Dynamic
Kriging (D-Kriging) method is used for surrogate models, and a stochastic sensitivity …
Kriging (D-Kriging) method is used for surrogate models, and a stochastic sensitivity …
SAMBA: Sparse approximation of moment-based arbitrary polynomial chaos
R Ahlfeld, B Belkouchi, F Montomoli - Journal of Computational Physics, 2016 - Elsevier
A new arbitrary Polynomial Chaos (aPC) method is presented for moderately high-
dimensional problems characterised by limited input data availability. The proposed …
dimensional problems characterised by limited input data availability. The proposed …
Selective maintenance strategy for systems executing multiple consecutive missions with uncertainty
T Jiang, Y Liu - Reliability Engineering & System Safety, 2020 - Elsevier
Selective maintenance is extensively implemented in industrial and military environments.
With it, a subset of feasible maintenance actions may be strategically selected for a …
With it, a subset of feasible maintenance actions may be strategically selected for a …
A maximum confidence enhancement based sequential sampling scheme for simulation-based design
A maximum confidence enhancement (MCE)-based sequential sampling approach is
developed for reliability-based design optimization (RBDO) using surrogate models. The …
developed for reliability-based design optimization (RBDO) using surrogate models. The …
Robust design optimization of TMDs in vehicle–bridge coupled vibration problems
Abstract Optimal design of Tuned-Mass-Dampers (TMD) and Multiple-Tuned-Mass-Dampers
(MTMD) for vibration control has been a popular research theme. In most applications, one …
(MTMD) for vibration control has been a popular research theme. In most applications, one …
Adaptive decoupled robust design optimization
Robust design optimization (RDO) is a valuable technique in the design of engineering
structures as it can provide an optimum design solution that is relatively insensitive to input …
structures as it can provide an optimum design solution that is relatively insensitive to input …
Reliability-based multidisciplinary design optimization using subset simulation analysis and its application in the hydraulic transmission mechanism design
D Meng, YF Li, HZ Huang… - Journal of …, 2015 - asmedigitalcollection.asme.org
The Monte Carlo simulation (MCS) can provide high reliability evaluation accuracy.
However, the efficiency of the crude MCS is quite low, in large part because it is …
However, the efficiency of the crude MCS is quite low, in large part because it is …