Yajing Bie

ORCID: 0000-0001-8688-6049
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Concrete and Cement Materials Research
  • Recycling and utilization of industrial and municipal waste in materials production
  • Recycled Aggregate Concrete Performance
  • Innovative concrete reinforcement materials
  • Urban Stormwater Management Solutions
  • Infrastructure Maintenance and Monitoring
  • Concrete Properties and Behavior
  • Geotechnical Engineering and Underground Structures
  • Dam Engineering and Safety
  • Bone Tissue Engineering Materials
  • Geotechnical Engineering and Analysis
  • Extraction and Separation Processes
  • Grouting, Rheology, and Soil Mechanics
  • Civil and Geotechnical Engineering Research
  • Iron and Steelmaking Processes
  • Hydraulic flow and structures
  • Recycling and Waste Management Techniques
  • Hydrological Forecasting Using AI
  • Asphalt Pavement Performance Evaluation
  • Pigment Synthesis and Properties

North China University of Water Resources and Electric Power
2020-2024

Yellow River Institute of Hydraulic Research
2024

Hohai University
2017

The aim of this article is to reduce the environmental harm caused by industrial solid waste, specifically tannery sludge, and enable its reutilization. This study prepared an alkali-activated sludge–slag solidification product (ATSSP) with high mechanical properties using blast furnace slag sludge as raw materials. response surface methodology (RSM) was used optimize mix ratio. hydration mechanism method ATSSP for Cr in were studied X-ray diffraction (XRD), scanning electron...

10.3390/buildings14041060 article EN cc-by Buildings 2024-04-10

The development of novel materials made from waste is one the main measures to achieve sustainable development. In this study, ash mushroom and corn straw (MCA) furnace slag (FS) were used as raw prepare alkali-activated biomass ash-slag material (AABS) ecological non-sintered ceramsite (SENC). paper, effects quicklime powder (QL), NaOH, sodium silicate solution (SS) on AABS analyzed using single factor orthogonal tests, preferred ratio composite alkali activator configuration was...

10.3390/su16156634 article EN Sustainability 2024-08-02

Seepage analysis is always a concern in dam safety and stability research. The prediction of seepage pressure monitoring data an effective way to ensure the seepage. With timeliness change value lag due external influences, RS‐LSTM model written Python developed this paper which combines rough set theory (RS) long‐ short‐term memory network (LSTM). proposed calculates score experiencing multiple effects by preordering factor importance values eliminate interference redundant factors. A case...

10.1155/2021/5576148 article EN cc-by Complexity 2021-01-01

ABSTRACTWith the rapid expansion of industrial and civil construction, demands for concrete its production has increased significantly, resulting in massive wastage. An effective strategy to recycle solid waste involves aggregation producing concrete. In this study, through two layers mortar concrete, changing rule influence mechanism waste-glass particles on mechanical properties permeability recycled aggregate pervious (RAPC) were analysed. The results indicated efficacy using instead...

10.1080/10298436.2023.2270730 article EN International Journal of Pavement Engineering 2023-01-28

Abstract A data set of cemented sand and gravel (CSG) mix proportion 28-day compressive strength was established, with outliers determined removed based on the Boxplot. Then, distribution law CSG analyzed using skewness kurtosis single-sample Kolmogorov-Smirnov tests. And help Python software, a model Back Propagation neural network built to predict according its proportion. The results showed that follows normal law, expected value variance were 5.471 MPa 3.962 respectively, average...

10.1515/secm-2020-0030 article EN cc-by Science and Engineering of Composite Materials 2020-01-01
Coming Soon ...