Robotics & Machine Learning Daily News2024,Issue(Oct.31) :108-109.

New Findings on Machine Learning from Tongji University Summarized (Considering Creep In Rock Tunnelling With a Combined Support System: Theoretical Solutions a nd Machine-learning Solver)

Robotics & Machine Learning Daily News2024,Issue(Oct.31) :108-109.

New Findings on Machine Learning from Tongji University Summarized (Considering Creep In Rock Tunnelling With a Combined Support System: Theoretical Solutions a nd Machine-learning Solver)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learn ing have been published. According to news reporting from Shanghai, People's Rep ublic of China, by NewsRx journalists, research stated, "This study provides an alternative theoretical approach to analyse the mechanical behaviour of tunnels excavated in time-dependent geomaterials, considering the sequential excavation of tunnels and installation of rockbolts and elastic liner. In the theoretical a nalyses, the Bolted Rock Mass (BRM) is modelled as a homogeneousmaterial but wi th higher stiffness."Funders for this research include National Natural Science Foundation of China ( NSFC), State KeyLaboratory of Disaster Reduction in Civil Engineering.

Key words

Shanghai/People's Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/Tongji University

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文