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Published in Sensors, 2019
This review paper is a collaborative effort with Linsheng Huo (Dalian University of Technology), Qingzhao Kong (Tongji University), and Xuemin Chen (Texas Southern University). It has been selected as the feature paper, and I serves as the co-first author.
Recommended citation: Huo, L., Cheng, H., Kong, Q., & Chen, X. (2019). Bond-slip monitoring of concrete structures using smart sensors—A review. Sensors, 19(5), 1231.
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Published in Construction and Building Materials, 2019
This paper falls under the domain of Research Interest 6.
Recommended citation: Zheng, L., Cheng, H., Huo, L., & Song, G. (2019). Monitor concrete moisture level using percussion and machine learning. Construction and Building Materials, 229, 117077.
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Published in Structural Health Monitoring, 2020
This paper is related to my master thesis and falls under the domain of Research Interest 6.
Recommended citation: Cheng, H., Wang, F., Huo, L., & Song, G. (2020). Detection of sand deposition in pipeline using percussion, voice recognition, and support vector machine. Structural Health Monitoring, 19(6), 2075-2090.
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Published in Eleventh International Conference on Bridge Maintenance, Safety and Management, 2022
This paper falls under the domain of Research Interest 5.
Recommended citation: Cheng, H., Zhang, F., Yang, Y., & Blom, C. K. (2022). Monitoring of repaired concrete floor in the Maastunnel using smart aggregates. In Bridge Safety, Maintenance, Management, Life-Cycle, Resilience and Sustainability (pp. 493-500). CRC Press.
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Published in Construction and Building Materials, 2023
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Recommended citation: Liang, M., Chang, Z., Zhang, Y., Cheng, H., He, S., Schlangen, E., & Šavija, B. (2023). Autogenous deformation induced-stress evolution in high-volume GGBFS concrete: Macro-scale behavior and micro-scale origin. Construction and Building Materials, 370, 130663.
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Published in Construction and Building Materials, 2023
This paper is a collaborative effort with Yubo Sun (Hong Kong Polytechnic University) and falls under the domain of Research Interest 6.
Recommended citation: Sun, Y., Cheng, H., Zhang, S., Mohan, M. K., Ye, G., & De Schutter, G. (2023). Prediction & optimization of alkali-activated concrete based on the random forest machine learning algorithm. Construction and Building Materials, 385, 131519.
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Published in Automation in Construction, 2024
This paper is related to my PhD dissertaion and falls under the domain of Research Interest 4.
Recommended citation: Cheng, H., Weemstra, C., Hendriks, M. A., & Yang, Y. (2024). Comparing the stretching technique and the wavelet cross-spectrum technique for measuring stress-induced wave-velocity changes in concrete. Automation in Construction, 158, 105221.
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Published in Construction and Building Materials, 2024
This paper is a collaborative effort with Minfei Liang (University of Oxford) and falls under the domain of Research Interest 3.
Recommended citation: Cheng, H., & Liang, M. (2024). Real-time monitoring of static elastic modulus evolution in hardening concrete through longitudinal-wave velocity changes retrieved by the stretching technique. Construction and Building Materials, 453, 139086.
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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