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Multidisciplinary design optimization of engineering systems under uncertainty: a review
Purpose As an advanced calculation methodology, reliability-based multidisciplinary design
optimization (RBMDO) has been widely acknowledged for the design problems of modern …
optimization (RBMDO) has been widely acknowledged for the design problems of modern …
Modeling, analysis, and optimization under uncertainties: a review
Abstract Design optimization of structural and multidisciplinary systems under uncertainty
has been an active area of research due to its evident advantages over deterministic design …
has been an active area of research due to its evident advantages over deterministic design …
A novel Kriging-model-assisted reliability-based multidisciplinary design optimization strategy and its application in the offshore wind turbine tower
Abstract In Reliability-based Multidisciplinary Design Optimization (RBMDO), the key
performance functions of wind turbine are usually implicit, which means the performance …
performance functions of wind turbine are usually implicit, which means the performance …
Application of state-of-the-art multiobjective metaheuristic algorithms in reliability-based design optimization: a comparative study
Multiobjective reliability-based design optimization (RBDO) is a research area, which has
not been investigated in the literatures comparing with single-objective RBDO. This work …
not been investigated in the literatures comparing with single-objective RBDO. This work …
Uncertainty quantification and management in additive manufacturing: current status, needs, and opportunities
Z Hu, S Mahadevan - The International Journal of Advanced …, 2017 - Springer
One of the major barriers that hinder the realization of significant potential of metal-based
additive manufacturing (AM) techniques is the variation in the quality of the manufactured …
additive manufacturing (AM) techniques is the variation in the quality of the manufactured …
Surrogate model uncertainty quantification for reliability-based design optimization
Surrogate models have been widely employed as approximations of expensive physics-
based simulations to alleviate the computational burden in reliability-based design …
based simulations to alleviate the computational burden in reliability-based design …
Optimization of fused filament fabrication process parameters under uncertainty to maximize part geometry accuracy
P Nath, JD Olson, S Mahadevan, YTT Lee - Additive manufacturing, 2020 - Elsevier
This work presents a novel process design optimization framework for additive
manufacturing (AM) by integrating physics-informed computational simulation models with …
manufacturing (AM) by integrating physics-informed computational simulation models with …
An uncertainty-based design optimization strategy with random and interval variables for multidisciplinary engineering systems
Generally, the traditional uncertainty-based multidisciplinary design optimization (UBMDO)
methods are based on the probability distribution information of random design variables …
methods are based on the probability distribution information of random design variables …
Uncertainty quantification for additive manufacturing process improvement: Recent advances
This paper reviews the state of the art in applying uncertainty quantification (UQ) methods to
additive manufacturing (AM). Physics-based as well as data-driven models are increasingly …
additive manufacturing (AM). Physics-based as well as data-driven models are increasingly …
Probabilistic digital twin for additive manufacturing process design and control
P Nath, S Mahadevan - Journal of Mechanical …, 2022 - asmedigitalcollection.asme.org
This paper proposes a detailed methodology for constructing an additive manufacturing
(AM) digital twin for the laser powder bed fusion (LPBF) process. An important aspect of the …
(AM) digital twin for the laser powder bed fusion (LPBF) process. An important aspect of the …