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(2006)
CLIPS 6.24
W. Verhagen, P. Bermell-Garcia, R. Dijk, R. Curran (2012)
A critical review of Knowledge-Based Engineering: An identification of research challengesAdv. Eng. Informatics, 26
L. Hetey (2009)
Idealisation error control for aerospace virtual structural testing
B. Dolsak, M. Novak (2011)
Intelligent decision support for structural design analysisAdv. Eng. Informatics, 25
Christof Ledermann, Claus Hanske, J. Wenzel, P. Ermanni, R. Kelm (2005)
Associative parametric CAE methods in the aircraft pre-design ? ? This article was presented at theAerospace Science and Technology
Martyn Pinfold, C. Chapman (2001)
The application of KBE techniques to the FE model creation of an automotive body structureComputers in Industry, 44
J. Mackerle (2002)
FEM and BEM in the context of information retrievalComputers & Structures, 80
(2015)
Advisory system development for reliable FEM modelling in aerospace
Ram Sriram (2006)
Artificial intelligence in engineering: Personal reflectionsAdv. Eng. Informatics, 20
G. Rocca (2012)
Knowledge based engineering: Between AI and CAD. Review of a language based technology to support engineering designAdv. Eng. Informatics, 26
James Campbell, L. Hetey, R. Vignjevic (2012)
Non-linear idealisation error analysis of a metallic stiffened panel loaded in compressionThin-walled Structures, 54
Cleaver Symons, A. Morris (1997)
Analytic certification of airframesAircraft Engineering and Aerospace Technology, 69
(2007)
Reliability of Methods for Engineering
Alan Morris (2008)
A Practical Guide to Reliable Finite Element Modelling: Morris/A Practical Guide to Reliable Finite Element Modelling
Shuixiang Li, Minggao Qiao (2003)
A hybrid expert system for finite element modeling of fuselage framesExpert Syst. Appl., 24
Public domain tool for building expert systems
R. Vignjevic, A. Morris, A.D Belagundu (1998)
Towards high fidelity finite element analysisAdvances in Engineering Software, 29
M. Nawijn, M. Tooren, J. Berends, P. Arendsen (2006)
Automated Finite Element Analysis in a Knowledge Based Engineering Environment
Jin-woo Choi, D. Kelly, J. Raju (2007)
A knowledge‐based engineering tool to estimate cost and weight of composite aerospace structures at the conceptual stage of the design processAircraft Engineering and Aerospace Technology, 79
T. Tomiyama (2007)
Intelligent computer-aided design systems: Past 20 years and future 20 yearsArtificial Intelligence for Engineering Design, Analysis and Manufacturing, 21
J. Cagan, V. Genberg (1987)
PLASHTRAN: An expert consultant on two-dimensional finite element modeling techniquesEngineering with Computers, 2
James Bennett, R. Engelmore (1979)
SACON: A Knowledge-Based Consultant for Structural Analysis
H. Hönlinger, R. Voss, A. Morris, P. Arendsen, G. LaRocca, M. Laban (2004)
MOB - A European Project on Multidisciplinary Design Optimisation
(2001)
Achieving competitive advantage through knowledge based engineering – a best practice guide”, White Paper for the Department of Trade and Industry, Cranfield University, Cranfield
L. Hetey, James Campbell, R. Vignjevic (2014)
Non-linear idealisation error analysis of an aerospace stiffened panel loaded in compressionProceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 228
D. Cooper, G. LaRocca (2007)
Knowledge-based Techniques for Developing Engineering Applications in the 21st Century
C. Chapman, Martyn Pinfold (1999)
Design engineering - a need to rethink the solution using knowledge based engineeringKnowl. Based Syst., 12
B. Gregory, M. Shephard (1987)
The generation of airframe finite element models using an expert systemEngineering with Computers, 2
Software development platform
(2010)
Public domain compiler
model boundary conditions for stiffened panels. The provided level of uncertainty influences the system advice. The rules formulated using the knowledge of previous analysis cases
Purpose – This paper aims to describe the development of an advisory system that helps building sound finite element (FE) models from computer-aided design data, with actual uncertainty levels expressed by error values in per cent, as today there is no widely accepted tool for FE idealisation error control. Design/methodology/approach – The goal is to provide a computer-aided engineering (CAE) environment which assists the FE modelling phase. A demonstration program has been developed that leads the user through a step-by-step process and helps to detect idealisation errors. Uncertainties are identified and analysed following the procedure. An example illustrates the methodology on the collapse analysis of aerospace stiffened panels. Findings – The design shows how a knowledge-based system can be used to aid a safe virtual product development. Research limitations/implications – The extension of current CAE environments is difficult, as the programs do not provide sufficient flexibility, changeability and FE solver independence. New developments can take the presented concept as a starting point. Practical implications – The application of error control strategies increases the FE modelling fidelity and can prevent incorrect design decisions. The practical conversion of FE idealisation support depends on the ambitions of CAE software providers. Originality/value – This research shows how a previously paper-and-pencil-based error control procedure can be transformed to an easy-to-use tool in modern software.
Aircraft Engineering and Aerospace Technology – Emerald Publishing
Published: Jan 5, 2015
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