Jiachen Guo

ORCID: 0000-0002-3018-4248
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About
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Research Areas
  • Structural Load-Bearing Analysis
  • Structural Behavior of Reinforced Concrete
  • Geotechnical Engineering and Underground Structures
  • Innovative concrete reinforcement materials
  • Fire effects on concrete materials
  • Model Reduction and Neural Networks
  • Composite Material Mechanics
  • Topology Optimization in Engineering
  • Additive Manufacturing Materials and Processes
  • Additive Manufacturing and 3D Printing Technologies
  • Mechanical stress and fatigue analysis
  • Probabilistic and Robust Engineering Design
  • Advanced Mathematical Modeling in Engineering
  • Elasticity and Material Modeling
  • Asphalt Pavement Performance Evaluation
  • Infrastructure Maintenance and Monitoring
  • Structural Response to Dynamic Loads
  • Manufacturing Process and Optimization
  • Structural Health Monitoring Techniques
  • Structural Engineering and Vibration Analysis
  • Structural Engineering and Materials Analysis
  • Numerical methods in engineering
  • RFID technology advancements
  • Machine Learning in Materials Science
  • Engineering Technology and Methodologies

China University of Mining and Technology
2024

Northwestern University
2022-2024

Northwest Institute of Mechanical and Electrical Engineering
2024

Hong Kong Polytechnic University
2022-2024

Zhejiang University
2021

Yunnan University
2011

Dimensionless numbers and scaling laws provide elegant insights into the characteristic properties of physical systems. Classical dimensional analysis similitude theory fail to identify a set unique dimensionless for highly multi-variable system with incomplete governing equations. This paper introduces mechanistic data-driven approach that embeds principle invariance two-level machine learning scheme automatically discover dominant (including differential equations) from scarce measurement...

10.1038/s41467-022-35084-w article EN cc-by Nature Communications 2022-12-08

The local buckling behaviour of high strength steel (HSS) hexagonal hollow section (HexHS) stub columns encompassing three different fabrication routes under axial compression is numerically investigated in this study. Finite-element (FE) models were developed and validated against the experimental results. FE subsequently employed to carry out parametric studies expand structural performance data covering a wider range geometries cross-section slenderness as well two grades. obtained...

10.1016/j.tws.2023.110717 article EN cc-by-nc-nd Thin-Walled Structures 2023-03-29

The evolution of artificial intelligence (AI) and neural network theories has revolutionized the way software is programmed, shifting from a hard-coded series codes to vast network. However, this transition in engineering faced challenges such as data scarcity, multi-modality data, low model accuracy, slow inference. Here, we propose new based on interpolation tensor decomposition, interpolating (INN). Instead training common notion computer science, INN interpolates points physical space...

10.48550/arxiv.2404.10296 preprint EN arXiv (Cornell University) 2024-04-16

Traditional jointed plain concrete pavement (JPCP) systems cannot be reused after grouting fast-setting materials in the dowel slot. To achieve demountability, a removable bar connection system is proposed this paper. The severe stress concentration occurring JPCP mitigated by applying stainless steel ring at joint surface. In monotonic loading tests, different thicknesses, lengths and tube thicknesses were considered. effect of on structural performance was studied terms failure mode,...

10.1080/10298436.2022.2126977 article EN International Journal of Pavement Engineering 2022-10-18
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