Recent advances and applications of surrogate models for finite element method computations: a review
J Kudela, R Matousek - Soft Computing, 2022 - Springer
The utilization of surrogate models to approximate complex systems has recently gained
increased popularity. Because of their capability to deal with black-box problems and lower …
increased popularity. Because of their capability to deal with black-box problems and lower …
State-of-the-art and comparative review of adaptive sampling methods for kriging
Metamodels aim to approximate characteristics of functions or systems from the knowledge
extracted on only a finite number of samples. In recent years kriging has emerged as a …
extracted on only a finite number of samples. In recent years kriging has emerged as a …
Advances in surrogate based modeling, feasibility analysis, and optimization: A review
A Bhosekar, M Ierapetritou - Computers & Chemical Engineering, 2018 - Elsevier
The idea of using a simpler surrogate to represent a complex phenomenon has gained
increasing popularity over past three decades. Due to their ability to exploit the black-box …
increasing popularity over past three decades. Due to their ability to exploit the black-box …
A review on data-driven constitutive laws for solids
This review article highlights state-of-the-art data-driven techniques to discover, encode,
surrogate, or emulate constitutive laws that describe the path-independent and path …
surrogate, or emulate constitutive laws that describe the path-independent and path …
A survey of adaptive sampling for global metamodeling in support of simulation-based complex engineering design
Metamodeling is becoming a rather popular means to approximate the expensive
simulations in today's complex engineering design problems since accurate metamodels …
simulations in today's complex engineering design problems since accurate metamodels …
A new adaptive sequential sampling method to construct surrogate models for efficient reliability analysis
NC Xiao, MJ Zuo, C Zhou - Reliability Engineering & System Safety, 2018 - Elsevier
Surrogate models are often used to alleviate the computational burden for structural systems
with expensively time-consuming simulations. In this paper, a new adaptive surrogate model …
with expensively time-consuming simulations. In this paper, a new adaptive surrogate model …
Design of computer experiments: A review
In this article, we present a detailed overview of the literature on the design of computer
experiments. We classify the existing literature broadly into two categories, viz. static and …
experiments. We classify the existing literature broadly into two categories, viz. static and …
Euclid preparation: IX. EuclidEmulator2 – power spectrum emulation with massive neutrinos and self-consistent dark energy perturbations
Euclid Collaboration, M Knabenhans… - Monthly Notices of …, 2021 - academic.oup.com
We present a new, updated version of the EuclidEmulator (called EuclidEmulator2), a fast
and accurate predictor for the nonlinear correction of the matter power spectrum. 2 per cent …
and accurate predictor for the nonlinear correction of the matter power spectrum. 2 per cent …
[图书][B] Basics and trends in sensitivity analysis: Theory and practice in R
In many fields, such as environmental risk assessment, agronomic system behavior,
aerospace engineering, and nuclear safety, mathematical models turned into computer code …
aerospace engineering, and nuclear safety, mathematical models turned into computer code …
Learning surrogate models for simulation‐based optimization
A central problem in modeling, namely that of learning an algebraic model from data
obtained from simulations or experiments is addressed. A methodology that uses a small …
obtained from simulations or experiments is addressed. A methodology that uses a small …