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Application of ultra-high-performance concrete in prefabricated buildings

  • Dong Luo, born in 1983, is an Associate Professor at the School of Human Settlements and Civil Engineering at Xi’an Jiaotong University, Xi’an, Shaanxi, 710054, China. Her study focuses on fiber optic sensing health monitoring, traffic infrastructure monitoring and management, key technology of cultural relic protection, structural reliability assessment and Smart Sensing and Smart Cities.

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    Tian Lu, born in 1996, is a second-year graduate student at the School of Human Settlements and Civil Engineering at Xi’an Jiaotong University Xi’an, Shaanxi, 710054, China. Her study focuses on bridge reliability, machine learning algorithms in civil engineering and structural health monitoring.

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    Y. Frank Chen, born in 1956, is currently Tenured Professor at the Pennsylvania State University, Middletown, USA. He obtained his PhD degree from the University of Minnesota, Minneapolis, USA in 1988. He specializes in dynamic soil-structure interaction, computational methods, bridge engineering, foundations, dynamic-load resistant designs, geo-environmental engineering, and construction materials.

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Published/Copyright: December 30, 2021
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Abstract

As a new cement-based composite material, the ultra-high-performance concrete (UHPC) has attracted wide attention because of its excellent mechanical properties and durability; and it has been applied successfully in the engineering field. As an important way to sustain engineering practice, the combination of prefabricated building and UHPC presents a great economic benefit and is worthy of further exploration. Based on the research and application status of UHPC materials in prefabricated construction, the engineering application classifications of UHPC are introduced; the advantages of using UHPC in prefabricated construction are summarized; the progress on UHPC research and its application in prefabricated construction is also summarized; the potential issues on the application of UHPC in prefabricated construction are pointed out; the possible solution strategies and development directions are proposed for promoting UHPC application in prefabricated construction.


Tian Lu School of Human Settlements and Civil Engineering Xi’an Jiaotong University Xi’an 710054, China

About the authors

Dong Luo

Dong Luo, born in 1983, is an Associate Professor at the School of Human Settlements and Civil Engineering at Xi’an Jiaotong University, Xi’an, Shaanxi, 710054, China. Her study focuses on fiber optic sensing health monitoring, traffic infrastructure monitoring and management, key technology of cultural relic protection, structural reliability assessment and Smart Sensing and Smart Cities.

Tian Lu

Tian Lu, born in 1996, is a second-year graduate student at the School of Human Settlements and Civil Engineering at Xi’an Jiaotong University Xi’an, Shaanxi, 710054, China. Her study focuses on bridge reliability, machine learning algorithms in civil engineering and structural health monitoring.

Y. Frank Chen

Y. Frank Chen, born in 1956, is currently Tenured Professor at the Pennsylvania State University, Middletown, USA. He obtained his PhD degree from the University of Minnesota, Minneapolis, USA in 1988. He specializes in dynamic soil-structure interaction, computational methods, bridge engineering, foundations, dynamic-load resistant designs, geo-environmental engineering, and construction materials.

Acknowledgment

The authors are grateful for the financial support provided by the National Natural Science Foundation of China (52078418), the National Post-Doctoral Science Foundation (No. 2019M653645), Project of strategic planning Department of Ministry of Science and Technology (HXJC2019FG/072HZ), Science and Technology Project of Yulin (CityCXY-2020-046), Sinohydro Bureau 11 Co., Ltd (20201225), the Central University’s Special Research Fund Interdisciplinary Project (xjj2017175), and the Research Fund Project of Xi’an JiaoTong University (1191320036). The opinions expressed in this paper are solely those of the authors.

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Published Online: 2021-12-30

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  4. Dynamic mechanical behavior of composite materials reinforced by graphene and huntite minerals
  5. Materials testing for joining and additive manufacturing applications
  6. Effect of friction time on tensile strength and metallurgical properties of friction welded dissimilar aluminum alloy joints
  7. Prediction of the optimal FSW process parameters for joints using machine learning techniques
  8. Mechanical testing
  9. Effect of steel forming on vehicle side impact behavior
  10. Potentiodynamic corrosion behavior and microstructural features of gas tungsten constricted arc (GTCA)-welded superalloy 718 joints
  11. Improvement of the mechanical and damping behavior of nylon by integration of nanoclay platelets
  12. Numerical simulations/materialography
  13. Computer simulation of boronizing kinetics for a TB2 alloy
  14. Experimental evaluation and modelling of the boronizing kinetics of AISI H13 hot work tool steel
  15. Production-Oriented testing
  16. Determination of plastic deformation rate after solid particle erosion in ductile materials
  17. Production-Oriented testing/wear testing
  18. Hot press sintering effects and wear resistance of the Al-B4C composite coatings of an AA-2024 alloy
  19. Corrosion testing
  20. Corrosion behavior of particle reinforced aluminum composites
  21. Ultra-sonics
  22. Concrete anisotropy estimated from ultrasonic signal amplitudes
  23. Materials testing for civil engineering applications
  24. Application of ultra-high-performance concrete in prefabricated buildings
  25. Analysis of physical and chemical properties
  26. Comparison of reduced graphene oxides synthesized chemically with different reducing agents for supercapacitors
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