High-Performance and Multifunctional Cement-Based Composite Material

Victor C. Li

doi:10.1016/j.eng.2018.11.031

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Engineering ›› 2019, Vol. 5 ›› Issue (2) : 250-260. DOI: 10.1016/j.eng.2018.11.031

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Research High Performance Structures: Building Structures and Materials—Article

High-Performance and Multifunctional Cement-Based Composite Material

Victor C. Li

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Abstract

Concrete is a continuously evolving material, and even the definition of high-performance concrete has changed over time. In this paper, high-performance characteristics of concrete material are considered to be those that support the desirable durability, resilience, and sustainability of civil infrastructure that directly impact our quality of life. It is proposed that high-performance material characteristics include tensile ductility, autogenous crack-width control, and material “greenness.” Furthermore, smart functionalities should be aimed at enhancing infrastructure durability, resilience, and sustainability by responding to changes in the surrounding environment of the structure in order to perform desirable functions, thus causing the material to behave in a manner more akin to certain biological materials. Based on recent advances in engineered cementitious composites (ECCs), this paper suggests that concrete embodying such high-performance characteristics and smart multifunctionalities can be designed, and holds the potential to fulfill the expected civil infrastructure needs of the 21st century. Highlights of relevant properties of ECCs are provided, and directions for necessary future research are indicated.

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High-performance concrete / Multifunction / Smart / Cement-based composite / Durability / Resilience / Sustainability / Infrastructure

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Victor C. Li. High-Performance and Multifunctional Cement-Based Composite Material. Engineering, 2019, 5(2): 250‒260 https://doi.org/10.1016/j.eng.2018.11.031

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Acknowledgements

Much of the experimental data cited in this paper have been obtained by current and former graduate students and post-docs. The data in Fig. 2 were compiled by Dr. Yi Bao and Dr. Duo Zhang. Their contributions are acknowledged. The data in Fig. 21 were generated from an experimental study by Ms. Mingfeng Xu, a scholar at the University of Michigan visiting from Tongji University in China. This work is partially supported by a grant from the CMMI program at the United States National Science Foundation (1634694), by a Visiting Fellowship from the Institute of Advanced Studies at the Hong Kong University of Science and Technology, and by the James R. Rice Professorship and the E. Benjamin Wylie Professorship at the University of Michigan in Ann Arbor.