@inproceedings{d456c1066d124241b2baaa4039ee9154,
title = "Dynamic Adaptive Variable-Fidelity Modeling Method for BGA Solder Joint Design",
abstract = "Currently, building variable-fidelity surrogate models and using dynamic adaptive sampling is becoming a hot research topic in the field of surrogate-based design (SBD). However, due to its unique sample composition, the variable-fidelity model not only needs to consider the acquisition method of sampling points but also the number of samples with different fidelity levels. This poses higher requirements for dynamic adaptive sampling strategies. In this paper, we propose a co-kriging sequential modeling method based on SOM and LHD, which uses the space volume determined by SOM to obtain the sampling number of different fidelity samples. The feasibility of the proposed method was verified using the reliability problem of BGA soldering. Comparing the results obtained by the one-time modeling method for this problem, we discussed the advantages and disadvantages of this approach.",
keywords = "Co-kriging, Dynamic modeling, SOM",
author = "Guannan Li and Jingdan Yu and Ru Wang and Yan Yan",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; International Conference on Mechanical Design, ICMD 2023 ; Conference date: 20-10-2023 Through 22-10-2023",
year = "2024",
doi = "10.1007/978-981-97-0922-9_47",
language = "English",
isbn = "9789819709212",
series = "Mechanisms and Machine Science",
publisher = "Springer Science and Business Media B.V.",
pages = "723--733",
editor = "Jianrong Tan and Yu Liu and Hong-Zhong Huang and Jingjun Yu and Zequn Wang",
booktitle = "Advances in Mechanical Design - The Proceedings of the 2023 International Conference on Mechanical Design, ICMD 2023",
address = "Germany",
}