Simultaneous solution approach to model-based experimental design

AIChE Journal ◽  
2013 ◽  
Vol 59 (11) ◽  
pp. 4169-4183 ◽  
Author(s):  
M. D. Hoang ◽  
T. Barz ◽  
V. A. Merchan ◽  
L. T. Biegler ◽  
H. Arellano-Garcia
Keyword(s):  
Experimental Design ◽  
Simultaneous Solution ◽  
Solution Approach ◽  
Model Based

Iterative model‐based experimental design for spherical agglomeration processes

AIChE Journal ◽  
2021 ◽  
Author(s):  
Kanjakha Pal ◽  
Botond Szilagyi ◽  
Christopher L. Burcham ◽  
Daniel J. Jarmer ◽  
Zoltan K. Nagy
Keyword(s):  
Experimental Design ◽  
Model Based ◽  
Iterative Model

scholarly journals Development and implementation of systematic model-development strategy using model-based experimental design

2019 ◽  
Vol 146 ◽  
pp. 290-310
Author(s):  
Zhengkun Jiang ◽  
Jean-François Portha ◽  
Jean-Marc Commenge ◽  
-->Laurent Falk
Keyword(s):  
Experimental Design ◽  
Development Strategy ◽  
Model Development ◽  
Model Based

Modeling of Initially Curved Beam Structures for Design of Multistable MEMS

2011 ◽  
Vol 79 (1) ◽  
Author(s):  
Matthew D. Williams ◽  
Fred van Keulen ◽  
Mark Sheplak
Keyword(s):  
Microelectromechanical Systems ◽  
Practical Importance ◽  
Curved Beam ◽  
Normal Flow ◽  
Simultaneous Solution ◽  
Solution Approach ◽  
Loading Pattern ◽  
Equilibrium Configurations ◽  
Flow Algorithm ◽  
Nonlinear Equilibrium

This article describes a mathematical model and two solution methodologies for efficiently predicting the equilibrium paths of an arbitrarily shaped, precurved, clamped beam. Such structures are common among multistable microelectromechanical systems (MEMS). First, a novel polynomial-based solution approach enables simultaneous solution of all equilibrium configurations associated with an arbitrary mechanical loading pattern. Second, the normal flow algorithm is used to negotiate the particularly complex nonlinear equilibrium paths associated with electrostatic loading and is shown to perform exceptionally well. Overall, the techniques presented herein provide designers with general and efficient computational frameworks for studying the effects of loading, shape, and imperfections on beam behavior. Sample problems motivated from switch and actuator applications in the literature demonstrate the methodologies’ utility in predicting the nonlinear equilibrium paths for structures of practical importance.

scholarly journals Mental model-based repeated multifaceted (MRM) intervention design: a conceptual framework for improving preventive health behaviors and outcomes

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Mazbahul G. Ahamad ◽  
Fahian Tanin
Keyword(s):  
Experimental Design ◽  
Health Education ◽  
Health Behaviors ◽  
Conceptual Framework ◽  
Mental Model ◽  
Preventive Health ◽  
Outcome Analysis ◽  
Intervention Design ◽  
Preventive Health Behaviors ◽  
Model Based

Abstract Objective Field interventions employed to improve preventive health behaviors and outcomes generally use well-established approaches; however, recent studies have reported that health education and promotional interventions have little to no impact on health behaviors, especially in low- and middle-income countries. We aimed to develop a conceptual framework to improve intervention designs that would internalize these concerns and limitations. Results We identified three major experimental design- and implementation-related concerns associated with mental models, including the balance between the treatment and control groups, the treatment group’s willingness to adopt suggested behaviors, and the type, length, frequency, intensity, and sequence of treatments. To minimize the influence of these aspects of an experimental design, we proposed a mental model-based repeated multifaceted (MRM) intervention design framework, which represents a supportive intervention design for the improvement of health education and promotional programs. The framework offers a step-by-step method that can be used for experimental and treatment design and outcome analysis, and that addresses potential implementation challenges.

scholarly journals Application of iterative robust model-based optimal experimental design for the calibration of biocatalytic models

2017 ◽  
Vol 33 (5) ◽  
pp. 1278-1293 ◽  
Author(s):  
Timothy Van Daele ◽  
Krist V. Gernaey ◽  
Rolf H. Ringborg ◽  
Tim Börner ◽  
Søren Heintz ◽  
...  
Keyword(s):  
Experimental Design ◽  
Optimal Experimental Design ◽  
Model Based ◽  
Robust Model

Model-based Experimental Design, Global Sensitivity Analysis

2013 ◽  
pp. 1417-1420
Author(s):  
Alexandros Kiparissides ◽  
Efstratios Pistikopoulos ◽  
Athanasios Mantalaris
Keyword(s):  
Sensitivity Analysis ◽  
Experimental Design ◽  
Global Sensitivity Analysis ◽  
Global Sensitivity ◽  
Model Based
Sign in / Sign up

Export Citation Format

Share Document