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 …
Review of statistical model calibration and validation—from the perspective of uncertainty structures
Computer-aided engineering (CAE) is now an essential instrument that aids in engineering
decision-making. Statistical model calibration and validation has recently drawn great …
decision-making. Statistical model calibration and validation has recently drawn great …
[图书][B] Surrogate-model-based design and optimization
Surrogate-Model-Based Design and Optimization | SpringerLink Skip to main content
Advertisement SpringerLink Account Menu Find a journal Publish with us Track your research …
Advertisement SpringerLink Account Menu Find a journal Publish with us Track your research …
VIVACE (Vortex Induced Vibration Aquatic Clean Energy): A new concept in generation of clean and renewable energy from fluid flow
MM Bernitsas, K Raghavan, Y Ben-Simon… - 2008 - asmedigitalcollection.asme.org
Any device aiming to harness the abundant clean and renewable energy from ocean and
other water resources must have high energy density, be unobtrusive, have low …
other water resources must have high energy density, be unobtrusive, have low …
Dynamic load prediction of tunnel boring machine (TBM) based on heterogeneous in-situ data
Load prediction of tunnel boring machines (TBMs) is crucial for the design and safe
operation of these complex engineering systems. However, to date, studies have mostly …
operation of these complex engineering systems. However, to date, studies have mostly …
Asymptotic normality and efficiency of two Sobol index estimators
Many mathematical models involve input parameters, which are not precisely known. Global
sensitivity analysis aims to identify the parameters whose uncertainty has the largest impact …
sensitivity analysis aims to identify the parameters whose uncertainty has the largest impact …
[HTML][HTML] A Chebyshev interval method for nonlinear dynamic systems under uncertainty
J Wu, Y Zhang, L Chen, Z Luo - Applied Mathematical Modelling, 2013 - Elsevier
This paper proposes a new interval analysis method for the dynamic response of nonlinear
systems with uncertain-but-bounded parameters using Chebyshev polynomial series …
systems with uncertain-but-bounded parameters using Chebyshev polynomial series …
Blind kriging: A new method for developing metamodels
Kriging is a useful method for developing metamodels for product design optimization. The
most popular kriging method, known as ordinary kriging, uses a constant mean in the model …
most popular kriging method, known as ordinary kriging, uses a constant mean in the model …
[HTML][HTML] Efficient structural reliability analysis method based on advanced Kriging model
L Zhang, Z Lu, P Wang - Applied Mathematical Modelling, 2015 - Elsevier
Reliability analysis becomes increasingly complex when facing the complicated expensive-
to-evaluate engineering applications, especially problems involve the implicit finite element …
to-evaluate engineering applications, especially problems involve the implicit finite element …
A descriptor-based design methodology for developing heterogeneous microstructural materials system
In designing a microstructural materials system, there are several key questions associated
with design representation, design evaluation, and design synthesis: how to quantitatively …
with design representation, design evaluation, and design synthesis: how to quantitatively …