Open Access
| Issue |
E3S Web Conf.
Volume 248, 2021
2021 3rd International Conference on Civil Architecture and Energy Science (CAES 2021)
|
|
|---|---|---|
| Article Number | 03075 | |
| Number of page(s) | 9 | |
| Section | Research on Civil Water Conservancy Engineering and Urban Architecture | |
| DOI | https://doi.org/10.1051/e3sconf/202124803075 | |
| Published online | 12 April 2021 | |
- Song. S.Y. and Li, Y.X. and Jin, W.L. et al. (2019) Shear mechanism of steel-concrete composite tunnel structure Journal of Tongji University (Natural Science), 47(10): 1421-1428. (in Chinese) [Google Scholar]
- Song Shenyou, Nie Jianguo, Xu Guoping, et al. Development and application of steel-concrete-steel composite structures in immersed tunnels [J]. China Civil Engineering Journal, 2019, 52(4): 109-120. (in Chinese) [Google Scholar]
- Chen Zongping, Zhou Ji, Tang Jiyu, et al. Experimental research on early-age mechanical properties of ultra-high pumping SCC [J]. Industrial Construction, 2020, 50(6): 111-116. (in Chinese) [Google Scholar]
- Zhuang Jinping, Chen Jianxing, Tao Gang, et al. Research on bond stress-slip relationship between reinforcement and SCC after repeated loading [J]. Journal of Building Structures, 2019, 40(5): 163-173. (in Chinese) [Google Scholar]
- Jain S, Pradhan B. Fresh, mechanical, and corrosion performance of SCC in the presence of chloride ions [J]. Construction and Building Materials, 2020, 247: 118517. [Google Scholar]
- Barluenga G. Quality control parameters for on-site evaluation of pumped SCC [J]. Construction and Building Materials, 2017, 154: 1112-1120. [Google Scholar]
- Xu J J, Zhao X Y, Yu Y, et al. Parametric sensitivity analysis and modelling of mechanical properties of normal-and high-strength recycled aggregate concrete using grey theory, multiple nonlinear regression and artificial neural networks [J]. Construction and Building Materials, 2019, 211: 479-491. [Google Scholar]
- Xu J J, Chen Y L, Xie T Y, et al. Prediction of triaxial behavior of recycled aggregate concrete using multivariable regression and artificial neural network techniques [J]. Construction and Building Materials, 2019, 226: 534-554. [Google Scholar]
- Yu Bo, Ling Ganzhan, Liu Jianbo, et al. Probabilistic prediction model of steel corrosion rate in concrete [J]. Bulletin of the Chinese Ceramic Society, 2019, 38(11): 3385-3391. (in Chinese) [Google Scholar]
- Zhou Yun, Jia Fanding, Xi Shuhang. Experiment research on multi-model structural identification based on Bayesian theory [J]. Journal of Hunan University (Natural Sciences), 2018, 45(5): 36-45. (in Chinese) [Google Scholar]
- Song S Y, Guo J, Su Q K, et al. Technical challenges in the construction of bridge-tunnel sea-crossing projects in China [J]. Journal of Zhejiang University-Science A (Applied Physics & Engineering), 2020, 21(7): 509-513. [Google Scholar]
- Song Shenyou, Chen Weile, Jin Wenliang, et al. Key technologies and challenges of Shenzhong Link [J]. Tunnel Construction, 2020, 40(1): 143-152. (in Chinese) [Google Scholar]
- Chen Weile, Song Shenyou, Jin Wenliang, et al. Plan and Practice of Intelligent Construction System of Steel-Concrete-Steel Composite Immersed Tunnel of Shenzhen-Zhongshan Link [J]. Tunnel Construction, 2020, 40(4): 465-474. (in Chinese) [Google Scholar]
- Feys D, De Schutter G, Verhoeven R. Parameters influencing pressure during pumping of SCC [J]. Materials and Structures/Materiaux et Constructions, 2013, 46(4): 533-555. [Google Scholar]
- Yu Y, Zhao X Y, Xu J J, et al. Machine learning-based evaluation of shear capacity of recycled aggregate concrete beams [J]. Materials, 2020, 13(20): 4552. [Google Scholar]
- Vapnik V, Golowich S E, Smola A. Support Vector Method for Function Approximation, Regression Estimation, and Signal Processing [J]. Advances in Neural Information Processing Systems, 2008, 9: 281-287. [Google Scholar]
- Gardoni P, Der Kiureghian A, Mosalam K M. Probabilistic capacity models and fragility estimates for reinforced concrete columns based on experimental observations [J]. Journal of Engineering Mechanics, 2002, 128(10): 1024-1038. [Google Scholar]
- Tabandeh A, Gardoni P. Probabilistic capacity models and fragility estimates for RC columns retrofitted with FRP composites [J]. Engineering Structures, 2014, 74: 13-22. [Google Scholar]
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