Kai Liu

ORCID: 0000-0003-1633-7188
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About
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Research Areas
  • Hydrocarbon exploration and reservoir analysis
  • Mechanical Behavior of Composites
  • Cellular and Composite Structures
  • Hydraulic Fracturing and Reservoir Analysis
  • Seismic Imaging and Inversion Techniques
  • Metal and Thin Film Mechanics
  • Advanced Materials and Mechanics
  • High-Velocity Impact and Material Behavior
  • Composite Material Mechanics
  • Structural Load-Bearing Analysis
  • Laser-induced spectroscopy and plasma
  • Structural Analysis and Optimization
  • Advanced biosensing and bioanalysis techniques
  • Coal Properties and Utilization
  • Geological and Geophysical Studies
  • Transportation Safety and Impact Analysis
  • High-Voltage Power Transmission Systems
  • Methane Hydrates and Related Phenomena
  • Fiber-reinforced polymer composites
  • Polymer composites and self-healing
  • Vehicle Routing Optimization Methods
  • Iterative Learning Control Systems
  • Fluid Dynamics Simulations and Interactions
  • Textile materials and evaluations
  • Geotechnical Engineering and Analysis

Central South University
2020-2025

Beijing Institute of Technology
2020-2025

AIL Research (United States)
2025

Institute of Oceanographic Instrumentation
2022-2025

Shandong Academy of Sciences
2022-2025

Qilu University of Technology
2022-2025

Hainan Marine Monitoring and Forecasting Center
2025

Ministry of Education of the People's Republic of China
2024

China Coal Technology and Engineering Group Corp (China)
2024

China University of Geosciences
2018-2023

10.1016/j.ijmachtools.2005.11.014 article EN International Journal of Machine Tools and Manufacture 2006-01-19

The unusual properties of mechanical metamaterials are determined by the configuration artificial periodic structures. However, performance conventional is irreversible and cannot perceive respond to changes in environment. In present study, a zero Poisson's ratio metamaterial with intelligent switching vibration isolation effect proposed. Based on 4D printing method shape memory polymer, this created that can sense temperature switch properties. macroscopic deformation morphology change...

10.1016/j.matdes.2020.109153 article EN cc-by-nc-nd Materials & Design 2020-09-16

Hybrid design is an effective approach to construct functional mechanical metamaterials. In this study, a periodic hybrid method for the TPMS (triply minimal surface) structures proposed, maintaining original surface connectivity and structural strength. It implemented by combination of implicit function Ψ(x,y,z) transition ηx,y,z governing equation. Furthermore, three classical TPMS, i.e., P (Schwarz Primitive), IWP (Schoen I-WP) FRD F-RD), are represented study elastic properties...

10.1016/j.matdes.2022.110995 article EN cc-by-nc-nd Materials & Design 2022-07-30

10.1016/j.ijmecsci.2023.108167 article EN International Journal of Mechanical Sciences 2023-01-22

The GCMC and MD methods were used to investigate the structural properties adsorption behaviors of methane in quartz nanopores.

10.1039/c6ra22803h article EN RSC Advances 2016-01-01

The tight gas reserves in the Hangjinqi area are estimated at 700 × 109 m3. Since exploration of Hangjinqi, numerous wells already drilled. However, remains an and has yet to become a field. Identifying paleo-depositional framework such as braided channels is beneficial for production companies. Further, pose drilling risks must be properly identified prior drilling. Henceforth, based on significance paleochannels, this study focused addressing depositional sedimentary facies first member...

10.3390/min12020126 article EN Minerals 2022-01-21

The Hangjinqi area was explored for natural gas around 40 years ago, but the efficient consideration in this started a decade ago pure exploration. Many wells have been drilled, yet remains an exploration area, and potential zones are still unclear. Lower Shihezi Formation is proven reservoir northern Ordos Basin. This study focuses on second third members of to understand controlling factors faults sedimentary facies distribution, aimed identify favorable accumulation within area. research...

10.3389/feart.2021.822670 article EN cc-by Frontiers in Earth Science 2022-02-04

The ability to accurately predict the energy consumption of electric vehicles (EVs) is important for alleviating range anxiety drivers and a critical foundation spatial planning, operation management charging infrastructures. Based on sparse GPS observations 68 EVs in Aichi Prefecture, Japan, an model proposed verified through traditional linear regression multilevel regression. In particular, influence ambient temperature considered. results, shows good performance estimation. For steeper...

10.1016/j.egypro.2017.03.655 article EN Energy Procedia 2017-05-01

Multiplex lateral flow immunoassay (mLFIA) has attracted great attention due to the increasing need for rapid detection of multiple analytes. However, it a number disadvantages with regard accuracy and interference because difficulties in simplifying process preparing nanomaterial-based probes. In this work, inspired by protein self-assembly, first time, facile natural antibody network (NAN)-based mLFIA chloramphenicol (CAP) streptomycin (STR) determination was designed. The NAN structure...

10.1021/acs.analchem.1c03484 article EN Analytical Chemistry 2022-01-13

10.1016/j.ijmecsci.2024.109808 article EN cc-by International Journal of Mechanical Sciences 2024-11-09
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