TY - JOUR
T1 - Multidisciplinary design optimization of hard rock tunnel boring machine using collaborative optimization
AU - Sun, Wei
AU - Wang, Xiaobang
AU - Shi, Maolin
AU - Wang, Zhuqing
AU - Song, Xueguan
N1 - Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The research is supported by National Basic Research Program of China (973 Program, Grant No. 2013CB035402), National Natural Science Foundation of China (Grant No. 51505061), Natural Science Foundation of Liaoning Province of China (Grant Nos 2015020155 and 2015106016), and the Fundamental Research Funds for Central Universities (Grant No. DUT14RC(3)133).
Publisher Copyright:
© 2018, © The Author(s) 2018.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - A multidisciplinary design optimization model is developed in this article to optimize the performance of the hard rock tunnel boring machine using the collaborative optimization architecture. Tunnel boring machine is a complex engineering equipment with many subsystems coupled. In the established multidisciplinary design optimization process of this article, four subsystems are taken into account, which belong to different sub-disciplines/subsytems: the cutterhead system, the thrust system, the cutterhead driving system, and the economic model. The technology models of tunnel boring machine’s subsystems are build and the optimization objective of the multidisciplinary design optimization is to minimize the construction period from the system level of the hard rock tunnel boring machine. To further analyze the established multidisciplinary design optimization, the correlation between the design variables and the tunnel boring machine’s performance is also explored. Results indicate that the multidisciplinary design optimization process has significantly improved the performance of the tunnel boring machine. Based on the optimization results, another two excavating processes under different geological conditions are also optimized complementally using the collaborative optimization architecture, and the corresponding optimum performance of the hard rock tunnel boring machine, such as the cost and energy consumption, is compared and analysed. Results demonstrate that the proposed multidisciplinary design optimization method for tunnel boring machine is reliable and flexible while dealing with different geological conditions in practical engineering.
AB - A multidisciplinary design optimization model is developed in this article to optimize the performance of the hard rock tunnel boring machine using the collaborative optimization architecture. Tunnel boring machine is a complex engineering equipment with many subsystems coupled. In the established multidisciplinary design optimization process of this article, four subsystems are taken into account, which belong to different sub-disciplines/subsytems: the cutterhead system, the thrust system, the cutterhead driving system, and the economic model. The technology models of tunnel boring machine’s subsystems are build and the optimization objective of the multidisciplinary design optimization is to minimize the construction period from the system level of the hard rock tunnel boring machine. To further analyze the established multidisciplinary design optimization, the correlation between the design variables and the tunnel boring machine’s performance is also explored. Results indicate that the multidisciplinary design optimization process has significantly improved the performance of the tunnel boring machine. Based on the optimization results, another two excavating processes under different geological conditions are also optimized complementally using the collaborative optimization architecture, and the corresponding optimum performance of the hard rock tunnel boring machine, such as the cost and energy consumption, is compared and analysed. Results demonstrate that the proposed multidisciplinary design optimization method for tunnel boring machine is reliable and flexible while dealing with different geological conditions in practical engineering.
KW - Tunnel boring machine
KW - collaborative optimization
KW - different geological conditions
KW - multidisciplinary design optimization
KW - system decomposition
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U2 - 10.1177/1687814018754726
DO - 10.1177/1687814018754726
M3 - Article
AN - SCOPUS:85041578561
VL - 10
JO - Advances in Mechanical Engineering
JF - Advances in Mechanical Engineering
SN - 1687-8132
IS - 1
ER -
