Beijing Jiaotong University - China
AUTHOR PROFILE
EARLY ACADEMIC PURSUITS
Dong Zikai embarked on his academic journey with a Bachelor's degree in Civil Engineering from Southwest Jiaotong University, Chengdu, China, in 2015. He continued his studies with a Master's degree in Architecture and Civil Engineering from Beijing Jiaotong University in 2019. Currently, he is pursuing a Ph.D. in Civil Engineering at Beijing Jiaotong University, where his research focuses on intelligent assistance technology for Tunnel Boring Machine (TBM) tunnelling.
PROFESSIONAL ENDEAVORS
As a doctoral student in the Department of Geotechnical Engineering at Beijing Jiaotong University, Dong Zikai has made significant contributions to his field. Under the guidance of Professor Li Xu, he has been involved in several research projects and has demonstrated exceptional academic performance. Dong has also participated in competitions such as the TBM competition and the "Huawei Cup" Chinese Graduate Students Artificial Intelligence Innovation Competition, where he achieved notable success.
CONTRIBUTIONS AND RESEARCH FOCUS
Dong Zikai's research is centered on TBM intelligent construction, with a specific focus on developing intelligent assistance technology. His work has led to the publication of several academic papers in reputable journals, including Automation in Construction and Georisk. His research contributions extend to the development of convolutional neural network-based models for recognizing TBM rock chip gradation, denoising methods in TBM rock fragmenting data, and classification prediction of surrounding rock based on TBM muck images.
IMPACT AND INFLUENCE
Dong Zikai's research has made a significant impact on the field of geotechnical engineering, particularly in the realm of TBM intelligent construction. His innovative approaches and methodologies have advanced our understanding of TBM tunnelling processes and have practical implications for improving construction efficiency and safety. Dong's publications have garnered attention within the academic community, further solidifying his influence and recognition in the field.
ACADEMIC CITES
Dong Zikai's research findings have been published in prestigious academic journals and have been cited by fellow scholars and researchers. His work on TBM intelligent construction has contributed to the body of knowledge in geotechnical engineering and has been referenced in related studies and publications. Dong's citations reflect the relevance and impact of his research on the broader academic community.
LEGACY AND FUTURE CONTRIBUTIONS
As Dong Zikai continues his doctoral studies and research endeavors, he is poised to make further contributions to the field of geotechnical engineering, particularly in the area of TBM intelligent construction. His innovative research methodologies and technological advancements have the potential to revolutionize TBM tunnelling practices, leading to safer, more efficient, and sustainable infrastructure development. Dong's commitment to academic excellence and his dedication to advancing the field ensure a promising legacy and future contributions in geotechnical engineering.
NOTABLE PUBLICATION
Experimental Study on Instant Grouting with Formwork for Tunnels 2022 (2)