Jian Liu

ORCID: 0000-0001-9818-3578
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About
Contact & Profiles
Research Areas
  • Mineral Processing and Grinding
  • Electrical Fault Detection and Protection
  • Fuel Cells and Related Materials
  • Orthopedic Surgery and Rehabilitation
  • Collagen: Extraction and Characterization
  • Metal Extraction and Bioleaching
  • Metallurgy and Material Forming
  • Offshore Engineering and Technologies
  • Structural Integrity and Reliability Analysis
  • Perovskite Materials and Applications
  • Total Knee Arthroplasty Outcomes
  • Remote-Sensing Image Classification
  • Microencapsulation and Drying Processes
  • Geotechnical Engineering and Underground Structures
  • Organic Electronics and Photovoltaics
  • Geochemistry and Geologic Mapping
  • Conducting polymers and applications
  • Nanocomposite Films for Food Packaging
  • Lightning and Electromagnetic Phenomena
  • Minerals Flotation and Separation Techniques
  • Risk and Safety Analysis
  • Mine drainage and remediation techniques
  • Engineering Diagnostics and Reliability
  • Power Systems Fault Detection
  • Wave and Wind Energy Systems

China University of Petroleum, East China
2021-2024

Chengdu University of Technology
2008-2023

Chengdu Technological University
2023

Qingdao University of Technology
2023

State Key Laboratory of Polymer Physics and Chemistry
2012

Chinese Academy of Sciences
2012

Changchun Institute of Applied Chemistry
2012

The Engineering & Technical College of Chengdu University of Technology
2008

Geochemical anomalies are the basis of mineral deposit prediction. Through study characteristics geochemical anomalies, we found that their distribution was consistent with a generalized Pareto (GPD). In present study, designed model for anomaly extraction via GPD. GPD model, used kurtosis method to estimate threshold value Furthermore, principal component analysis (PCA) extract comprehensive information different elements in which minerals enriched. On this basis, new algorithm named GPDA...

10.1155/2023/6066817 article EN Mathematical Problems in Engineering 2023-01-01

Based on the BP neural network theory, creep rate prediction model of T92 steel was established under multiple stress levels. Obtained experimental results and using model, were trained. The show that simulation match measured well with a high forecast precision. method can serve as research behavior.

10.4028/www.scientific.net/amm.467.203 article EN Applied Mechanics and Materials 2013-12-01

Abstract The purpose of this paper is to determine the safe operating window subsea tree installation through analysing sensitivity multiple environmental parameters. In paper, wave height, period, phase angle and sea surface current speed are taken as evaluation factors marine environment, a ranking these four obtained by orthogonal analysis. lateral offset axial velocity tree, deformation von-Mises equivalents stress pipe constrain in Results show that height period most significant...

10.1088/1755-1315/714/2/022055 article EN IOP Conference Series Earth and Environmental Science 2021-03-01
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