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Robust och Multidisciplinär Optimering av
Fordonsstrukturer
2009-00314
Fordons- och Trafiksäkerhet
Resultatkonferens - 2014
Project Partners
Principal applicant:
Volvo Car Corporation
Project partners:
Combitech AB
Altair Engineering
EnginSoft Nordic AB
Dynamore Nordic AB
Academic partner:
Linköpings Tekniska Högskola
Overall Project Objective
Find suitable methods for implementing robust and multidisciplinary design
optimization in automotive product development process
Sandeeep Shetty
Robust design optimization
Scope
Develop efficient methodologies to perform multiobjective robust and reliabilitybased design optimization of large-scale vehicle structures
Investigation of approximate modelling techniques to reduce the computational
effort of the optimization process
Implementation of developed methodologies into the existing product
development process
Sandeeep Shetty
Overall accomplishments
Different approaches to evaluate robustness and to perform non-deterministic
optimisation have been studied
An approach to perform multiobjective reliability-based optimization and robust
design optimization is presented and verified using a vehicle side impact
crashworthiness application
An efficient reliability-based optimization using a combined metamodel and FEbased strategy is proposed and illustrated using industrial examples
Comparison between FE-based and metamodel-based robustness analysis has
been performed
An approach to handle the discrete responses using metamodels is also presented
PhD courses – 60hp
Sandeeep Shetty
Robust design procedure
Define problem
•
•
•
Inputs and outputs
Select Objectives
Uncertainties quantification
Optimisation strategy
Design evaluation
Estimation of the mean and
standard deviation
Select a optimum design
Meta model
Verification
DOE strategy
•
Design of experiments
Verification
‘
Sandeeep Shetty
Articles
Article -1
Article -2
Article -3
Robustness-analysis
Non-deterministic optimization
Efficient Reliability-based
optimization approach
Comparison between FE-based
and metamodel-based
robustness analysis
Comparative study of
deterministic and nondeterministic optimization
Validation of metamodels
New metamodelling approach to
handle discrete responses is
proposed
An approach to perform
optimization of large- scale
vehicle structural application is
presented
Conclusion
Computational effort is
minimised significantly by using
meta models
Meta-model approach had
acceptable accuracy compared
to FE-based approach.
Conclusion
Presented metamodel-based
approach was found to be
suitable for large-scale
deterministic optimization
Further improvement in the
presented approach is required
in the case of non-deterministic
optimization
Sandeeep Shetty
An efficient reliability-based
optimization method is
proposed and validated using
industrial examples
Conclusion
Proposed method has better
accuracy and the method is
computationally efficient
Documented Results
Licentiate thesis
S.shetty: Optimization of Vehicle Structures under Uncertainties,
Licentiate thesis, Linköping university, Thesis No. 1643
Journal Papers
S. Shetty and L. Nilsson: Multiobjective reliability-based and robust
design optimisation for crashworthiness of a vehicle side impact,
accepted for publication in the international journal of vehicle design.
S. Shetty and L. Nilsson: Robustness study of a hat profile beam made
of boron steel subjected to three point bending, Submitted for publication.
Conference Paper
S.shetty: Efficient reliability-based optimization using a combined metamodel and FE-based strategy.
published in proceedings of 4th International Conference on engineering optimization (EngOpt2014)
Sandeeep Shetty
Multidisciplinary design optimization of automotive structures
Scope
Find an efficient MDO process
for large-scale applications
that takes the special characteristics of automotive structural applications into account
considers aspects related to implementation within an organization and product development
process
Outcome
Description and demonstration of an MDO process that is
simpler than multi-level methods
fits existing organizations better than sequential response surface methods (SRSM) and direct
optimization
often more computationally efficient than direct optimization, SRSM and multi-level methods
Ann-Britt Ryberg
Work performed
Literature survey
• MDO methods
• metamodel-based
optimization
MDO process
Technical report
Comparison of
MDO methods
PhD courses
• single-level methods
• multi-level methods
• optimization courses
• solid mechanics courses
• etc
Conclusion:
75.5 hp
A single-level method +
metamodels is often the
best choice
MDO studies
Article 1
• different software
• different sizes
• different methods
• description
• demonstration on a
simple example
Conclusion:
The process is efficient,
flexible, and suitable for
common automotive
structural MDO applications.
The process fits existing
organizations and product
development processes.
etc.
Article 2
Experience
Ann-Britt Ryberg
Licentiate
thesis
MDO process
Application example
Front impact
Initiation
v
load case n
load case 1
Setup
Setup
…
Design of
experiments
Metamodel
creation
Screening
25 15, 7, 11, 12 variables
Design of
experiments
Step 3
Define DOE, run simulations,
and extract results.
DOE
Acceptable accuracy
90, 42, 55, 48 simulations
Metamodel
creation
Step 4
Build, check, and compare
metamodels.
Metamodels
RBF neural networks +
Feedforward neural networks
Optimization
Verification
Verification
Setup
Minimize mass without degrading the
disciplinary performances.
Step 2
Find important design
variables.
Variable
screening
Variable
screening
Step 1
Define problem (load cases,
objectives, constraints, and
design variables).
Step 5
Find optimum solutions.
Step 6
Check results with detailed
model.
tx05_mid_front
intr_mid_front
Side impact
v
intr_upper_side
intr_lower_side
Roof crush
Optimization
Adaptive simulated annealing
Verification
RBFNN: 8% mass red. (1 constr. viol.)
FFNN: 12% mass red.
d
forc_3_roof
forc_max_roof
Modal analysis
Decision
freq_m1_modal
freq_m2_modal
Ann-Britt Ryberg
Publications
Licentiate thesis LIU-TEK-LIC-2013:1
Metamodel-based design optimization – A multidisciplinary approach for automotive structures
by A-B Ryberg
http://liu.diva-portal.org/smash/record.jsf;jsessionid=d0d8422fc5bf97e6f729a89c0b32?searchId=1&pid=diva2:601789
Technical report LIU-IEI-R-12/003
Metamodel-based multi-disciplinary design optimization for automotive applications
by A-B Ryberg, R D Bäckryd, L Nilsson
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-84701
Article 1
Multidisciplinary design optimization methods for automotive structures
by R D Bäckryd, A-B Ryberg, L Nilsson
Submitted
Article 2
A metamodel-based multi-disciplinary design optimization process for automotive structures
by A-B Ryberg, R D Bäckryd, L Nilsson
Under revision
Ann-Britt Ryberg
Futured work
Phase II accepted and started
Project number: 2014-01340
Aim:
• Take researcher from licentiate to PhD.
• Continue development of models for industrial problems.
• Industrial implementation of the result from earlier project.
• Couple the two areas in a combined study and paper..