Houdong Liu

Dr. Houdong Liu


Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

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

Representative Publications

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13 September 2024 in Sustainability
Verified
Journal Article
Open access
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HLHoudong Liu
Houdong Liu
HLHoudong Liu
Houdong Liu
KQKang Qian
Kang Qian
JCJuan Cheng
Juan Cheng
YGYingli Gong
Yingli Gong
YKYuxian KE
Yuxian KE
Ancient architectural complexes are an important part of human cultural heritage, carrying a wealth of historical and cultural information. However, fire safety issues in these complexes are becoming increasingly prominent, and it is urgent to assess and enhance their fire resilience to support sustainable development. This paper takes ancient architectural complexes as the research object and establishes a fire resilience evaluation indicator system for ancient architectural complexes, which includes 25 third-level indicators categorized under architectural characteristics, facility factors, management factors, and social factors. Then, this paper combines the AHP method and the CRITIC method to determine the weight of each indicator. The results show that architectural features and facility factors are key level 2 indicators affecting the fire resilience of ancient architectural complexes. The fire resistance rate, building materials, automatic alarm system, etc., are key level 3 indicators influencing the fire resilience of ancient architectural complexes. It is suggested that efforts should be made to enhance the fire resilience of ancient architectural complexes by improving the fire resistance rate, strengthening smart early warning systems, and intensifying the ensuring of firefighting responses. This paper provides valuable insights and recommendations for effectively preventing fire disasters in ancient architectural complexes, thereby supporting their sustainable management and long-term conservation.

7 February 2025 in Minerals
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Journal Article
Open access
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HDHongwei Deng
Hongwei Deng
ZSZhou Shiyu
Zhou Shiyu
HLHoudong Liu
Houdong Liu
YLYao Liu
Yao Liu
JXJingbo Xu
Jingbo Xu
Red sandstone is widely distributed in southern China. Due to the significant difference in mechanical properties before and after hydration and its poor water stability, red sandstone often triggers landslide accidents. In this paper, red sandstone from an open pit slope in Jiangxi Province was taken as the research object. Two variables, namely the initial saturation degree (25%, 50%, 75%, and 100%) and the number of wetting–drying cycles (0, 10, 20, 30, and 40), were set. With the help of nuclear magnetic resonance, the Brazilian disc test, and fractal theory, the relationships among its meso-structure, macroscopic fracture mechanics characteristics, and deterioration mechanism were analyzed. The research results are as follows: (1) Wetting–drying cycles have a significant impact on the pore structure and fracture mechanics characteristics of red sandstone. Moreover, the higher the initial saturation degree, the more obvious the deterioration effect of the wetting–drying cycles on the rock mass. (2) After further subdividing the pores according to their size for research, it was found that sandstone is mainly composed of mesopores, and the deterioration laws of different types of pores after the wetting–drying cycles are different. The porosities of total pores and macropores increase, while the proportions of mesopores and micropores decrease. The fractal dimensions of macropores and total pores of each group of rock samples are all within the range of 2–3, and the fractal dimension value increases with the increase in the number of wetting–drying cycles, showing significant and regular fractal characteristics. Micropores and some mesopores do not possess fractal characteristics. The fractal dimension of rock samples basically satisfies the rule that the larger the pore diameter, the larger the fractal dimension and the more complex the pore structure. (3) Both the type I and type II fracture toughness of rock samples decrease with the increase in the number of cycles, and the decrease is the most significant when the initial saturation degree is 100%. After 40 cycles, the decreases in type I and type II fracture toughness reach 23.578% and 30.642%, respectively. The fracture toughness is closely related to the pore structure. The porosity and fractal dimension of rock samples and their internal macropores are linearly negatively correlated with the type II fracture toughness. The development of the macropore structure is the key factor affecting its fracture mechanics performance. (4) After the wetting–drying cycles, the internal pores of red sandstone continue to develop. The number of pores increases, the pore diameter enlarges, and the proportion of macropores rises, resulting in internal damage to the rock mass. When bearing loads, the expansion and connection of internal cracks intensify, ultimately leading to the failure of the rock mass. The research results can provide important reference for the stability analysis of sandstone slope engineering.

17 September 2026 in Applied Sciences
Verified
Journal Article
Open access
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SHShanzhu He
Shanzhu He
HLHoudong Liu
Houdong Liu
YKYuxian KE
Yuxian KE
KQKang Qian
Kang Qian
Tailings storage facility (TSF) site selection requires the simultaneous consideration of economic, engineering, safety, and social factors. Taking a copper-polymetallic mine in northern China as an engineering case, this study develops a feasibility-stage decision-support framework combining the analytic hierarchy process (AHP) and the technique for order preference by similarity to an ideal solution (TOPSIS) to evaluate six pre-screened candidate sites using 11 indicators. The relative closeness coefficients of Schemes I–VI were 0.5345, 0.4996, 0.4949, 0.3543, 0.4407, and 0.6125, respectively, resulting in the ranking VI > I > II > III > V > IV. Scheme VI was therefore identified as the preferred alternative. Robustness analyses considering weight uncertainty, ordinal-indicator coding, normalization, and alternative ranking procedures generally preserved the preferred-site identification; Scheme VI ranked first in 99.31% of 100,000 Monte Carlo simulations, and MOORA and EDAS produced the same complete ranking as TOPSIS. The ranking was also consistent with the project feasibility-study recommendation. The study provides a transparent and robustness-oriented workflow for comparative TSF site selection at the feasibility stage rather than proposing a new MCDM algorithm.