Mles 16888 ES077 Multidisciplinary System Design Optimization MSDO) Lecture 3: Modeling and Simulation 11 February 2004 Olivier de weck Massachusetts Institute of Technology -Prof de Weck and Prof. Willcox
0DVVDFKXVHWWV,QVWLWXWHRI7HFKQRORJ\3URIGH:HFNDQG3URI:LOOFR[ 2OLYLHUGH:HFN 0XOWLGLVFLSOLQDU\6\VWHP 0XOWLGLVFLSOLQDU\6\VWHP 'HVLJQ2SWLPL]DWLRQ 06'2 'HVLJQ2SWLPL]DWLRQ 06'2 /HFWXUH /HFWXUH 0RGHOLQJDQG6LPXODWLRQ 0RGHOLQJDQG6LPXODWLRQ )HEUXDU\ )HEUXDU\
Today 's Topics 16888 ES077 Definitions of Modeling and simulation physics-based modeling empirical modeling Model/simulation Development process module identification module ordering DSM's and n2 diagrams module coding: fidelity and benchmarking model execution simulation Computational Issues runtime reduction strategies coupling disparate CAE/CAD tools Massachusetts Institute of Technology - Prof de Weck and Prof Willcox
0DVVDFKXVHWWV,QVWLWXWHRI7HFKQRORJ\3URIGH:HFNDQG3URI:LOOFR[ 7RGD\¶V7RSLFV 7RGD\¶V7RSLFV &RPSXWDWLRQDO,VVXHV UXQWLPHUHGXFWLRQVWUDWHJLHV FRXSOLQJGLVSDUDWH&$(&$'WRROV 'HILQLWLRQVRI0RGHOLQJDQG6LPXODWLRQ SK\VLFVEDVHGPRGHOLQJ HPSLULFDOPRGHOLQJ 0RGHO6LPXODWLRQ'HYHORSPHQW3URFHVV PRGXOHLGHQWLILFDWLRQ PRGXOHRUGHULQJ '60¶VDQG1GLDJUDPV PRGXOHFRGLQJ ILGHOLW\DQGEHQFKPDUNLQJ PRGHOH[HFXWLRQ VLPXODWLRQ
MSDO Framework 16888 ES077 Design Vecto Simulation model Objective vector x Module a Module b Module c Coupling this Multiobjective Optimization lecture Approximation Optimization Algorithms Methods Numerical Techniques Sensitivity Tradespace (direct and penalty methods) Analysis Exploration Heui」 tic Techniques Coupling (DOE) SA, GA) sopertormance Output Evaluatie Massachusetts Institute of Technology- Prof de Weck and Prof Willcox
0DVVDFKXVHWWV,QVWLWXWHRI7HFKQRORJ\3URIGH:HFNDQG3URI:LOOFR[ 6LPXODWLRQ0RGHO WKLV OHFWXUH 06'2)UDPHZRUN 06'2)UDPHZRUN 0RGXOH$ 0RGXOH% 0RGXOH& , Q S X W 2 X W S X W 7UDGHVSDFH ([SORUDWLRQ '2( 2SWLPL]DWLRQ$OJRULWKPV 0XOWLREMHFWLYH 2SWLPL]DWLRQ 1XPHULFDO7HFKQLTXHV GLUHFWDQGSHQDOW\PHWKRGV +HXULVWLF7HFKQLTXHV 6$*$ Q [ [ [ ª º « » « » « » « » « » ¬ ¼ # 'HVLJQ9HFWRU &RXSOLQJ P - - - ª º « » « » « » « » « » ¬ ¼ # $SSUR[LPDWLRQ 0HWKRGV &RXSOLQJ 6HQVLWLYLW\ $QDO\VLV ,VRSHUIRUPDQFH 2EMHFWLYH9HFWRU 2XWSXW(YDOXDWLRQ
Definitions 16888 ES077 Definition: Model (as used in this class A model is a mathematical object that has the ability to predict the behavior of a real system under a set of defined operating conditions and simplifying assumptions Definition Simulation (as used in this class) Simulation is the process of exercising a model for a particular instantiation of the system and specific set of inputs in order to predict the system response Massachusetts Institute of Technology - Prof de Weck and Prof Willcox
0DVVDFKXVHWWV,QVWLWXWHRI7HFKQRORJ\3URIGH:HFNDQG3URI:LOOFR[ 'HILQLWLRQV 'HILQLWLRQV 'HILQLWLRQ 0RGHO 0RGHO DVXVHGLQWKLVFODVV DVXVHGLQWKLVFODVV $PRGHOLVDPDWKHPDWLFDOREMHFWWKDWKDVWKHDELOLW\ WRSUHGLFWWKHEHKDYLRURIDUHDOV\VWHPXQGHUDVHWRI GHILQHGRSHUDWLQJFRQGLWLRQVDQGVLPSOLI\LQJDVVXPSWLRQV 'HILQLWLRQ 6LPXODWLRQ 6LPXODWLRQ DVXVHGLQWKLVFODVV DVXVHGLQWKLVFODVV 6LPXODWLRQLVWKHSURFHVVRIH[HUFLVLQJDPRGHOIRUD SDUWLFXODULQVWDQWLDWLRQRIWKHV\VWHPDQGVSHFLILFVHW RILQSXWVLQRUGHUWRSUHGLFWWKHV\VWHPUHVSRQVH
Mled Model Development Process 16888 ES077 Start Proces Define Master table DSM N2 Diagram Objectives Define Constraints Governing Equations Modules Design Variables Iterate to Improve Fidelity Code modules Integrate Benchmark Modules Sanity Check iTest Code Ready For U Massachusetts Institute of Technology - Prof de Weck and Prof Willcox
0DVVDFKXVHWWV,QVWLWXWHRI7HFKQRORJ\3URIGH:HFNDQG3URI:LOOFR[ 0RGHO'HYHORSPHQW3URFHVV 0RGHO'HYHORSPHQW3URFHVV 2EMHFWLYHV &RQVWUDLQWV 'HVLJQ9DULDEOHV *RYHUQLQJ (TXDWLRQV ,QWHJUDWH 0RGXOHV 'HILQH 0DVWHU7DEOH &RGH0RGXOHV 'HILQH 0RGXOHV 7HVW&RGH %HQFKPDUN 6DQLW\&KHFN ,WHUDWHWR,PSURYH)LGHOLW\ '60 1'LDJUDP 6WDUW3URFHVV 5HDG\)RU8VH