TY - GEN
T1 - The development of surrogate model based MDO platform-MEDOC
AU - Chae, Sanghyun
AU - Yee, Kwanjung
AU - Obayashi, Shigeru
AU - Jeong, Shinkyu
PY - 2010/1/1
Y1 - 2010/1/1
N2 - A surrogate model approach has attracted a lot of attention in the field of engineering design, due to its significant reduction in the computational time. The kriging model, one of the most widely used surrogate models, provides efficient tools for global optimization because of its stochastic characteristics. Thus, authors had developed helpful design tools using the kriging model, such as the kriging model based GA (Genetic Algorithm), and had developed ANOVA (ANalysis Of VAriance), and SOM (Self Organization Map) for data mining. However, the developed tools have inconvenience and inefficiency on the whole design works, because of text user interface and separated tools. Thus, the integrated GUI platform MEDOC (Multi-purpose Engineering Design and Optimization Code) has been developed. The main features of MEDOC are supporting multi-OS (Operating System), easy GUI to use, and high calculation efficiency by multi-threading and JNI (Java Native Interface: multi-language coupling). As an example of MDO (Multidisciplinary Design Optimization), the design of the helicopter rotor blade shape for aero-acoustics performance improvements has been conducted by MEDOC. This application demonstrates the efficiency and the usability of MEDOC.
AB - A surrogate model approach has attracted a lot of attention in the field of engineering design, due to its significant reduction in the computational time. The kriging model, one of the most widely used surrogate models, provides efficient tools for global optimization because of its stochastic characteristics. Thus, authors had developed helpful design tools using the kriging model, such as the kriging model based GA (Genetic Algorithm), and had developed ANOVA (ANalysis Of VAriance), and SOM (Self Organization Map) for data mining. However, the developed tools have inconvenience and inefficiency on the whole design works, because of text user interface and separated tools. Thus, the integrated GUI platform MEDOC (Multi-purpose Engineering Design and Optimization Code) has been developed. The main features of MEDOC are supporting multi-OS (Operating System), easy GUI to use, and high calculation efficiency by multi-threading and JNI (Java Native Interface: multi-language coupling). As an example of MDO (Multidisciplinary Design Optimization), the design of the helicopter rotor blade shape for aero-acoustics performance improvements has been conducted by MEDOC. This application demonstrates the efficiency and the usability of MEDOC.
KW - ANOVA (Analysis Of Variance)
KW - Data mining
KW - EI (Expected Improvement)
KW - GA (Genetic Algorithm)
KW - GUI
KW - JNI (Java Native Interface)
KW - Java
KW - Kriging model
KW - SOM (Self Organization Map)
UR - http://www.scopus.com/inward/record.url?scp=84914164337&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84914164337&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84914164337
T3 - Proceedings of 2010 Asia-Pacific International Symposium on Aerospace Technology, APISAT 2010
SP - 41
EP - 44
BT - Proceedings of 2010 Asia-Pacific International Symposium on Aerospace Technology, APISAT 2010
PB - Northwestern Polytechnical University
T2 - 2010 Asia-Pacific International Symposium on Aerospace Technology, APISAT 2010
Y2 - 13 September 2010 through 15 September 2010
ER -