Honghao Ying

Dr. Honghao Ying

orcid

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 December 2023 in Construction and Building Materials
Verified
Journal Article
Closed access
HYHonghao Ying
Honghao Ying
SWSheliang Wang
Sheliang Wang
ZLZhe Lu
Zhe Lu
BLBo Liu
Bo Liu
NZNan Zhao
Nan Zhao
XQXiaoyi Quan
Xiaoyi Quan

14 April 2023 in Journal of Building Engineering
Verified
Journal Article
Closed access
HYHonghao Ying
Honghao Ying
SWSheliang Wang
Sheliang Wang
ZLZhe Lu
Zhe Lu
BLBo Liu
Bo Liu
LCLiu Cui
Liu Cui
NZNan Zhao
Nan Zhao

12 July 2024 in Buildings
Verified
Journal Article
Open access
PDF file
BLBo Liu
Bo Liu
kangning liukangning liu
kangning liu
WJWurong Jia
Wurong Jia
HYHonghao Ying
Honghao Ying
ZLZhe Lu
Zhe Lu
ZHZhilong Hong
Zhilong Hong
The thermal insulated cement matrix further enhances the thermal insulation of PCM aggregate concrete, consequently reducing energy consumption. In this paper, 0–15% rice husk ash (RHA) was used as a replacement for cement. The effect of the substitution amount of RHA on the workability, mechanical properties, thermal properties, and pore structure of concrete was investigated. The results showed that the density of concrete decreased after replacing cement with RHA. The workability of concrete decreased with the increase in RHA content. The filling effect and pozzolanic effect of RHA resulted in an initial increase and subsequent decrease in the mechanical properties of the concrete. After the cement was replaced by 10% RHA, the concrete exhibited the highest compressive strength and splitting tensile strength. The high porosity of RHA reduced the thermal conductivity of concrete by 12.29%. The temperature response indicated that the temperature difference between 15% RHA concrete and the reference concrete can reach up to 1.2 °C, potentially reducing the energy demand. The NMR results showed that the total pore volume was minimal with a 10% RHA admixture. The capillary pore volume increased slightly with the increase in RHA substitution due to the presence of numerous micron-sized pores within the RHA. The micropore and macropore volumes exhibited a decreasing and then increasing trend.

7 December 2023 in Buildings
Verified
Journal Article
Open access
PDF file
ZLZhe Lu
Zhe Lu
kangning liukangning liu
kangning liu
WJWurong Jia
Wurong Jia
JXJiangsheng Xie
Jiangsheng Xie
ZLZhe Lu
Zhe Lu
YSYanwen Sun
Yanwen Sun
Eutectic phase change material (EPCM), compared with single phase change material (PCM), is widely studied by many scholars due to its flexibility in practical engineering applications by the characteristic of changing phase change temperatures. However, there is still a lack of theoretical prediction research on the thermal performance parameters of EPCM. The existing theories about EPCM are unable to accurately predict its thermal performance parameters, which increases the difficulty of selecting the composition ratio of EPCM and affects its practical application. Based on a background of the accurate prediction of EPCM thermal parameters, 12 binary EPCMs, and 7 ternary EPCMs are prepared by mixing capric acid, n-octanoic acid and tetradecane with different proportions, respectively. By using the cooling curves and DSC test, the variation patterns in thermal performance parameters of EPCMs are studied. After comparing various thermodynamic models, the Schrader model was selected and combined with experimental results to compare and calculate the experimental and theoretical values of thermal performance parameters. The results show that the binary PCM reaches the minimum eutectic point of 1.42 °C at a mass ratio of 0.33:0.67 for capric acid to n-octanoic acid, while the ternary PCM reaches the minimum eutectic point of 0.34 °C at a mass ratio of 0.231:0.469:0.3 for capric acid, n-octanoic acid, and n-tetradecane. The latent heat of a EPCM is between the lowest and highest values of the latent heat of the constituent components, and its value increases with the enhancement of the overall thermal storage density of the material. The modified Schrader equations can effectively predict the phase change temperatures and latent heats of EPCMs at different composition ratios. The equation has a fitting accuracy of over 0.986 and a bias error of less than 6%, demonstrating excellent accuracy and providing a reliable theoretical basis for the proportion design and thermal parameter prediction of EPCM in actual engineering applications.

23 August 2024 in Buildings
Verified
Journal Article
Open access
PDF file
ZHZhilong Hong
Zhilong Hong
kangning liukangning liu
kangning liu
HYHonghao Ying
Honghao Ying
ZLZhe Lu
Zhe Lu
BLBo Liu
Bo Liu
JXJin Xu
Jin Xu
Damage to buildings and infrastructure caused by freeze–thaw cycles is a common problem in cold regions. To counteract this, multi-stage phase change material (PCM) aggregate concrete has gained attention for its potential in structural protection. PCM concrete is a type of intelligent concrete that regulates and controls the temperature by incorporating PCM. PCM aggregate can efficiently absorb and release significant amounts of heat within a defined temperature range. This study explored the feasibility of using agricultural waste rice husk ash (RHA) and industrial waste fly ash (FA) to produce PCM concrete. The combined use of RHA and FA with multi-stage PCM aggregate concrete allowed the two materials, pozzolanic materials and PCM, which have different approaches to improving the freeze resistance of concrete, to be effectively utilized together and synergistically enhance the durability and energy efficiency of buildings in cold regions. An experimental program was conducted to prepare PCM concrete by replacing cement with 5%, 10% and 15% RHA and 10%, 20% and 30% FA in different mixtures. The results show that when the replacement amounts of RHA and FA are both 10%, the compressive strength of the concrete can be effectively improved, while the thermal conductivity and thermal diffusivity are reduced. The incorporation of RHA and FA improved the thermal regulation of PCM concrete. Strength loss, relative dynamic elastic modulus (RDEM) loss and mass loss were all minimal with RHA at 15% and FA at 10% replacement.

17 June 2025 in Buildings
Verified
Journal Article
Open access
PDF file
MZMingming Zhang
Mingming Zhang
Shan GaoShan Gao
Shan Gao
JXJin Xu
Jin Xu
LWLidong Wang
Lidong Wang
MXMengyan Xu
Mengyan Xu
HYHonghao Ying
Honghao Ying
This study improved the thermal damping of concrete with rice husk ash (RHA)–fly ash (FA) matrix and three phase-change material (PCM) aggregates with phase change temperatures between −15 and 5 °C, which are expected to reduce winter energy consumption in cold regions when used as building envelope structures. Firstly, the strength of concrete was studied. Secondly, the dynamic and transient thermal response of concrete was evaluated through thermal conductivity and thermal diffusivity. Based on nuclear magnetic resonance experiments, the changes in the pore volume and fractal dimension of RHA–FA matrix and PCM aggregate added to concrete were studied. Through correlation analysis, a macroscopic performance prediction model based on pore characteristics was obtained. The results indicated that the incorporation of PCM aggregate reduced concrete strength, while an appropriate RHA–FA matrix contributed to enhancing concrete strength. Both the PCM aggregate and RHA–FA matrix were beneficial for improving the thermal damping properties of concrete. For 15% RHA–30% FA 100% PCM concrete, the thermal conductivity can be reduced by 53%, the thermal diffusivity can be reduced by 64%, the limiting temperature decreased by 5.5 °C, and the thermal damping coefficient increased by 48%. The nuclear magnetic resonance test results showed that PCM aggregate increased the pore volume and decreased the fractal dimension, while an appropriate RHA–FA matrix helped to reduce the pore volume. The macroscopic properties of RHA–FA–PCM aggregate concrete were highly correlated with the capillary pore volume and fractal dimension. A two-parameter prediction model based on pore characteristics can effectively predict the macroscopic properties of concrete.