Multidisciplinary design optimization of hard rock tunnel boring machine using collaborative optimization
نویسندگان
چکیده
منابع مشابه
Factors influencing performance of hard rock tunnel boring machines
Intact rock properties together with rock mass characteristics should be well investigated for selection of proper tunnel boring machine (TBM) for tunneling in various ground conditions. This is due to the significant impact of rock mass characteristics on machine performance. TBMs are site specific and designed for optimal performance in given ground conditions. When selected and put to work a...
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Nowadays there is a large number of tunneling projects in progress, mainly in Europe, both for roads and transport supplies. Performance prediction of tunnel boring machines (TBM) and the determination of some design parameters have become crucial, as they are critical elements in planning a project of mechanical excavation. In this paper we use the Discrete Element Method (DEM) to build models...
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1. Summary These notes describe some recent ideas for distributed design and their application to large-scale aerospace systems. In this type of multidisciplinary optimization, design tasks are decomposed into domain-specific subproblems, and coordinated to achieve an optimal system. Focusing on collaborative optimization, one form of design decomposition, the notes detail the methods, summariz...
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ژورنال
عنوان ژورنال: Advances in Mechanical Engineering
سال: 2018
ISSN: 1687-8140,1687-8140
DOI: 10.1177/1687814018754726