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- 저자 : Ruili Huo (검색결과 2 건)
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XGB-Northern Goshawk Optimization: Predicting the Compressive Strength of Self-Compacting Concrete
Jiang Bian,Ruili Huo,Yan Zhong,Zehua Guo 대한토목학회 2024 KSCE Journal of Civil Engineering Vol.28 No.4
The contributions of this study, which include enhanced predictive precision and the integration of supplementary admixtures, may be effectively used in real-world scenarios to optimize self-compacting concrete (SCC) mixes for particular applications. This technology exhibits the capacity to improve construction productivity, minimize material wastage, and foster the development of resilient and environmentally friendly infrastructures. This research examined radial basis function (RBF) network and extreme gradient boosting (XGB-based models for predicting the compressive strength (Cs) of SCC. A dataset was generated through the collection of experimental samples, which encompassed supplementary admixtures in addition to the conventional constituents of concrete comprised of lime powders, fly ash, granulated blast furnace slag, silica fume, steel slag powder, super-plasticizer, and viscosity-modifying admixtures. In the present study, two optimization algorithms named the northern Goshawk optimization algorithm (NGOA), and Henry gas solubility optimization (HGSO) were linked with RBF and XGB models (abbreviated as XGBNG , XGBHG , RBFNG , and RBFHG). The results indicate that each of the four models exhibits a notable degree of precision in their prediction methodologies for Cs. A considered comprehensive metric named OBJ showed that the XGBNG simulation received the slightest value at 0.8062, followed by XGBHG at 1.657, then RBFNG at 2.4891, and last RBFHG by 3.9131.
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Dongdong Chen,Linsheng Huo,Ruili Fu,Ruiwei Mao,Bo Yuan 국제구조공학회 2022 Smart Structures and Systems, An International Jou Vol.30 No.5
During the long-time service of a bolt, its preload may suffer slight perturbations or significant reductions. It is a dilemma to monitor preload changes at high resolution and full scale. Approaches for bolt preload monitoring with multiresolution should be developed. In this paper, a simple and effective multi-resolution bolt preload monitoring approach using ultrasonic guided waves (UGW) is proposed. A linear relationship between the time-of-flight (TOF) variation of multi-reflected waves and preload is derived to theoretically reveal the multi-resolution properties of UGW. The variations of TOF before and after the slight preload perturbations are extracted by using a global evaluation method. Experimental results show that the signal-to-noise ratio (SNR) of the 1st, 2nd, and 3rd-reflected UGWs is larger than 20 dB. The resolution of the 2nd-reflected UGW is higher than that of the 1st-reflected UGW and lower than that of the 3rd-reflected UGW. The ultimate detectable resolutions of bolt preload (DRBP) of the 1st and 3th-reflected UGWs are 0.9% and 0.5%, respectively. By using the 1st and 3th-reflected guided waves, the bolt looseness with different degrees can be monitored simultaneously.
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