Ping Huang
- (2024): Optimizing gypsum particleboard properties: An orthogonal analysis of pennisetum giganteum and phosphogypsum composites. In: Case Studies in Construction Materials, v. 20 (Juli 2024).
- (2024): Study on the combination effect of tunnel slope and longitudinal fire location on the asymmetric flow fields in a naturally ventilated tunnel. In: Tunnelling and Underground Space Technology, v. 146 (April 2024).
- (2024): Utilizing waste stone powder for improving properties of phosphogypsum-based composite prepared by semi-dry method. In: Construction and Building Materials, v. 426 (Mai 2024).
- (2024): Experimental study on the temperature distribution of impingement flow in a double slope roof generated by jet fire. In: Journal of Building Engineering, v. 82 (April 2024).
- (2023): Fluidity, mechanical properties, shrinkage of alkali-activated slag/stainless steel slag mortars with composite activators. In: Journal of Building Engineering, v. 75 (September 2023).
- (2023): Application of sugar cane bagasse ash as filler in ultra-high performance concrete. In: Journal of Building Engineering, v. 71 (Juli 2023).
- (2020): Reservoir CO2 evasion flux and controlling factors of carbon species traced by δ13CDIC at different regulating phases of a hydro-power dam. In: Science of The Total Environment, v. 698 (Januar 2020).
- (2022): Study on an emergency evacuation model considering information transfer and rerouting: Taking a simplified H-shape metro station hall as an example. In: Tunnelling and Underground Space Technology, v. 124 (Juni 2022).
- (2022): Use of sugar cane bagasse ash in ultra-high performance concrete (UHPC) as cement replacement. In: Construction and Building Materials, v. 317 (Januar 2022).
- (2019): Statistical delay distribution analysis on high-speed railway trains. In: Journal of Modern Transportation, v. 27, n. 3 (Januar 2019).
- (2019): Forecasting primary delay recovery of high-speed railway using multiple linear regression, supporting vector machine, artificial neural network, and random forest regression. In: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 46, n. 5 (Mai 2019).
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