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 …

Review of statistical model calibration and validation—from the perspective of uncertainty structures

G Lee, W Kim, H Oh, BD Youn, NH Kim - Structural and Multidisciplinary …, 2019 - Springer
Computer-aided engineering (CAE) is now an essential instrument that aids in engineering
decision-making. Statistical model calibration and validation has recently drawn great …

[图书][B] Surrogate-model-based design and optimization

P Jiang, Q Zhou, X Shao, P Jiang, Q Zhou, X Shao - 2020 - Springer
Surrogate-Model-Based Design and Optimization | SpringerLink Skip to main content
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 …

Dynamic load prediction of tunnel boring machine (TBM) based on heterogeneous in-situ data

W Sun, M Shi, C Zhang, J Zhao, X Song - Automation in Construction, 2018 - Elsevier
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 …

Asymptotic normality and efficiency of two Sobol index estimators

A Janon, T Klein, A Lagnoux, M Nodet… - ESAIM: Probability and …, 2014 - esaim-ps.org
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 …

[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 …

Blind kriging: A new method for developing metamodels

VR Joseph, Y Hung, A Sudjianto - 2008 - asmedigitalcollection.asme.org
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 …

[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 …

A descriptor-based design methodology for developing heterogeneous microstructural materials system

H Xu, Y Li, C Brinson, W Chen - Journal of …, 2014 - asmedigitalcollection.asme.org
In designing a microstructural materials system, there are several key questions associated
with design representation, design evaluation, and design synthesis: how to quantitatively …