[PDF][PDF] 变可信度近似模型及其在复杂装备优化设计中的应用研究进展
周奇, 杨扬, 宋学官, 韩忠华, 程远胜, 胡杰翔… - 机械工程 …, 2020 - qikan.cmes.org
变可信度近似模型通过融合不同精度分析模型的数据, 可有效平衡近似模型预测性能和建模成本
之间的矛盾, 在复杂装备优化设计中受到广泛的关注. 综述变可信度近似模型及其在复杂装备 …
之间的矛盾, 在复杂装备优化设计中受到广泛的关注. 综述变可信度近似模型及其在复杂装备 …
[PDF][PDF] Survey of multi-fidelity surrogate models and their applications in the design and optimization of engineering equipment
周奇, 杨扬, 宋学官, 韩忠华, 程远胜… - Journal of Mechanical …, 2020 - qikan.cmes.org
Multi-fidelity (MF) surrogate models have attracted significant attention recently in
engineering design optimization since they can make a trade-off between high prediction …
engineering design optimization since they can make a trade-off between high prediction …
Comparison of multi-fidelity approaches for military vehicle design
This paper overviews the efforts of a technical team within the NATO Applied Vehicle
Technology Panel to apply multi-fidelity methods to vehicle design. The objectives of the …
Technology Panel to apply multi-fidelity methods to vehicle design. The objectives of the …
Analytical benchmark problems for multifidelity optimization methods
The paper presents a collection of analytical benchmark problems specifically selected to
provide a set of stress tests for the assessment of multifidelity optimization methods. In …
provide a set of stress tests for the assessment of multifidelity optimization methods. In …
Multi-fidelity gradient-based optimization for high-dimensional aeroelastic configurations
The simultaneous optimization of aircraft shape and internal structural size for transonic
flight is excessively costly. The analysis of the governing physics is expensive, in particular …
flight is excessively costly. The analysis of the governing physics is expensive, in particular …
A gradient-based sequential multifidelity approach to multidisciplinary design optimization
N Wu, CA Mader, JRRA Martins - Structural and Multidisciplinary …, 2022 - Springer
Multifidelity design optimization is a strategy that can reduce the high computational cost in
cases where the high-fidelity model is too expensive to use directly in optimization …
cases where the high-fidelity model is too expensive to use directly in optimization …
A generalized methodology for multidisciplinary design optimization using surrogate modelling and multifidelity analysis
SG Kontogiannis, MA Savill - Optimization and Engineering, 2020 - Springer
The advantages of multidisciplinary design are well understood, but not yet fully adopted by
the industry where methods should be both fast and reliable. For such problems, minimum …
the industry where methods should be both fast and reliable. For such problems, minimum …
Single-and multipoint aerodynamic shape optimization using multifidelity models and manifold mapping
In this paper, a computationally efficient multifidelity local search algorithm for aerodynamic
design optimization is presented. In this paper's approach, direct optimization of a …
design optimization is presented. In this paper's approach, direct optimization of a …
Hyper-differential sensitivity analysis with respect to model discrepancy: Optimal solution updating
J Hart, B van Bloemen Waanders - Computer Methods in Applied …, 2023 - Elsevier
A common goal throughout science and engineering is to solve optimization problems
constrained by computational models. However, in many cases a high-fidelity numerical …
constrained by computational models. However, in many cases a high-fidelity numerical …
An Iterative Two-Stage Multifidelity Optimization Algorithm for Computationally Expensive Problems
Engineering design optimization often involves use of numerical simulations to assess the
performance of candidate designs. The simulations for computing high-fidelity (HF) …
performance of candidate designs. The simulations for computing high-fidelity (HF) …