Work

Physics-informed deep reinforcement learning for enhancement on tunnel boring machine's advance speed and stability

Year: 2023

Type: article

Source: Automation in Construction

DOI: 10.1016/j.autcon.2023.105234

Authors: Penghui Lin, Maozhi Wu, Zhonghua Xiao, Robert L.K. Tiong, Limao Zhang

Institutions: Nanyang Technological University, Huazhong University of Science and Technology

Language: English

Topic: Tunneling and Rock Mechanics

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: Nanyang Technological University, National Natural Science Foundation of China, Huazhong University of Science and Technology, Hebei Province Outstanding Youth Fund

Awards: G4177758921, G4758142219

OpenAlex ID: W4389636776

FWCI: 5.516

Cites: 67

Cited by: 47

Related to: 10