Bo Li

ORCID: 0000-0002-7461-1344
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About
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Research Areas
  • Geotechnical Engineering and Underground Structures
  • Geotechnical Engineering and Soil Mechanics
  • Hydrocarbon exploration and reservoir analysis
  • Advanced machining processes and optimization
  • Geotechnical Engineering and Analysis
  • Drilling and Well Engineering
  • Mine drainage and remediation techniques
  • Advanced Measurement and Detection Methods
  • Heavy metals in environment
  • Metal Extraction and Bioleaching
  • Grouting, Rheology, and Soil Mechanics
  • Geological Modeling and Analysis
  • Advanced Surface Polishing Techniques
  • Digital Transformation in Industry
  • Civil and Geotechnical Engineering Research
  • Geochemistry and Geologic Mapping
  • Geotechnical Engineering and Soil Stabilization
  • Groundwater and Isotope Geochemistry
  • Tunneling and Rock Mechanics
  • Technology Assessment and Management
  • Underground infrastructure and sustainability
  • Mining and Resource Management
  • Blasting Impact and Analysis
  • CCD and CMOS Imaging Sensors
  • Evaluation and Optimization Models

Chengdu University of Technology
2024

Southwest University of Science and Technology
2024

Anhui Jianzhu University
2024

China University of Geosciences (Beijing)
2008-2023

Beijing Urban Construction Design & Development Group (China)
2023

South China University of Technology
2021

Guangzhou Municipal Engineering Design and Research Institute
2021

State Key Laboratory of Subtropical Building Science
2021

Northwestern Polytechnical University
2018

Taiyuan University of Technology
2017

Deep reinforcement learning (DRL) has gained widespread adoption in control and decision-making tasks due to its strong performance dynamic environments. However, DRL agents are vulnerable noisy observations adversarial attacks, concerns about the robustness of systems have emerged. Recent efforts focused on addressing these issues by establishing rigorous theoretical guarantees for returns achieved settings. Among approaches, policy smoothing proven be an effective scalable method...

10.48550/arxiv.2501.17667 preprint EN arXiv (Cornell University) 2025-01-29

China's oil and gas pipeline companies put forward the transformation strategy from digital to intelligent in 2017, will carry out relevant work engineering construction, information system, scientific research other aspects 2020. After several rounds of discussion, twin has been established as most critical enabling technology important achievement pipeline. In this paper, role is discussed detail, definition, long-term goal, application paradigm future key Twin are given.

10.1016/j.ifacol.2021.04.162 article EN IFAC-PapersOnLine 2020-01-01

The rational development of mineral resources provides necessary materials for economic development, but environmental pollution caused by mining activities is an inevitable consequence. Here, we present a case study Chehe Town in Guangxi, area with integrated metals and smelting. geochemical distribution, migration, transformation behaviors Cd other heavy were studied detail systematically collecting surface media such as atmospheric dust, water stream sediments, ores, tailings, mine...

10.3390/w15081550 article EN Water 2023-04-14

With the rapid development of IT technologies, digital transformation is reshaping world in multiple scales. Digital Twin, as an important enabling technology and driving force transformation, has been widely used various fields, which played a good exemplary role application twin pipeline industry. This paper discusses background, definition framework oil gas system, analyzes existing problems asset management equipment management, prospect management. In end, it pointed out that...

10.1016/j.ifacol.2021.04.163 article EN IFAC-PapersOnLine 2020-01-01

Abstract The continuous development and utilization of underground space has led to an increasing number short-distance constructions between new existing tunnels. New tunnel construction affects the surrounding strata destroys structure operation adjacent tunnel. Therefore, investigating influence tunnels on deformation is crucial. Four centrifugal model tests simulating excavation processes were conducted study with different spacings Liquid was drained one section at a time simulate...

10.1088/1755-1315/1333/1/012032 article EN IOP Conference Series Earth and Environmental Science 2024-05-01

Cross walls have been used as alternative auxiliary measures to protect buildings in some areas of Asia. Realizing the inadequacy classical Winkler foundation predict deflection diaphragm wall with cross wall, a modified finite element method (MEFB) was formulated this paper. Then, MEFB verified through two excavation cases and applied new well‐documented history. Results showed that by proposed line 3D numerical analysis field observations but smaller than Winkler’s elastic (EFB) method....

10.1155/2021/8838489 article EN cc-by Advances in Civil Engineering 2021-01-01

The micro-fabric of deposition reflects the imprints its geologic and stress history, depositional environment, weathering history. Recent experience shows that fabric anisotropy does influence static dynamic behavior granular materials. In this study, a series centrifuge tests are conducted to investigate effects on response in free field. results show acceleration, pore pressure, residual settlement is significantly affected by ground, which liquefaction resistance ground. Meanwhile,...

10.1142/s1793431114500018 article EN Journal of Earthquake and Tsunami 2013-10-28

In this article, modal experiments were used to analysis the dynamics characteristics of grinding machine. Static testing has validated nature frequency and critical speeds also recognized by dynamic racing experiment. experiment, surface roughness was investigated in different speed workpiece spindle. The way reduce vibration that caused bad discussed. This experiment laid a foundation optimize structure parameter improve character

10.4028/www.scientific.net/kem.329.767 article EN Key engineering materials 2007-01-01

Autonomous driving has garnered significant attention in recent years, especially optimizing vehicle performance under varying conditions. This paper addresses the challenge of maintaining maximum speed stability low-speed autonomous while following a predefined route. Leveraging reinforcement learning (RL), we propose novel approach to optimize policies that enable achieve near-maximum without compromising on safety or route accuracy, even scenarios.

10.48550/arxiv.2412.16248 preprint EN arXiv (Cornell University) 2024-12-19

10.1109/icicm63644.2024.10814593 article EN 2022 7th International Conference on Integrated Circuits and Microsystems (ICICM) 2024-10-25

Abstract During shield tunneling in highly abrasive formations such as sand–pebble strata, nonuniform wear of cutters is inevitable due to the different cutting distances. Frequent downtimes and cutter replacements have become major obstacles long‐distance driving strata. Based on characteristics strata Beijing, a design methodology for cutterhead was established this study achieve uniform all by principle frictional wear. The applicability method verified through three‐dimensional...

10.1002/dug2.12059 article EN cc-by Deep Underground Science and Engineering 2023-10-29

Based on the Yongdingmen Station of Beijing Metro, underwater excavation method for deep foundation pit was introduced. This study constructed a numerical analysis model to analyze performance surface settlement and lateral wall deflection in process excavation. Results showed that this better control compared with other dewatering excavations. In detail, most caused during dry stage while by only accounted about 10% total settlement. Besides, maximum occurred 0.25∼0.5 H e behind retaining...

10.1155/2020/8894138 article EN cc-by Advances in Civil Engineering 2020-01-01
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