Adaptive metamodel-based analytical target cascading for natural gas hydrates coring tool design optimization. Issue 7 (3rd July 2022)

• Record Type: Journal Article
• Authors: Zheng, Jun; Lu, Chunhua; Li, Zilong; Jiang, Guosheng; Zhao, Huibin
• Is Part Of: Engineering optimization. Volume 54:Issue 7(2022)
• Page Start: 1089
• Page End: 1109
• Publication Date: 2022-07-03
• Subjects: Natural gas hydrates coring tool -- analytical target cascading -- adaptive metamodel -- lower confidence bounding; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2021.1912033
• Languages: English
• ISSNs: 0305-215X

Abstract

Abstract : Design optimization and performance analysis of natural gas hydrates (NGH) coring tool is a complex engineering system that involves several disciplines, such as structural, hydraulics, thermology and mechanism kinematics. An adaptive metamodel-based analytical target cascading (A-ATC) method is developed to efficiently deal with the NGH coring tool design problem. The NGH coring tool design problem is decomposed into three subsystems through the proposed A-ATC approach; namely, the core tube subsystem, ball valve mechanics subsystem and hydraulic subsystem. Moreover, a parameterized lower confidence bounding (PLCB) scheme-based adaptive metamodel is introduced into A-ATC to replace the analysis module to alleviate the intensive computational burden. Optimization results of the NGH tool are compared with those of kriging-based ATC. The effectiveness of PLCB is investigated through comparisons with other commonly used infill strategies. The results show that the proposed PLCB-based A-ATC method is more appropriate for the NGH coring tool design optimization problem.