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Interaction Analyses between Existing Pipeline and Quasi-Rectangular Tunneling in Clays
Zhiguo Zhang,Mengxi Zhang,Qihua Zhao,Lei Fang,Zhi Ding,Minzhi Shi 대한토목학회 2021 KSCE JOURNAL OF CIVIL ENGINEERING Vol.25 No.1
Previous researches about geoenvironmental disturbance caused by tunneling have mainly concentrated on the influences of circular tunnel construction, but minimal interesting is given to the quasi-rectangular shield tunneling. Considering the convergence deformation model for quasi-rectangular shield tunneling at excavation face, the simplified closed-form solution is put forward to evaluate the deformation behavior for underground pipeline caused by quasi-rectangular shield tunneling. Firstly, the free-field displacements induced by the quasi-rectangular shield excavation are estimated by the point source technique. Secondly, characterized by the Winkler foundation, the free-field displacements are applied to the pipeline structures and a simplified analytical solution is obtained for analyzing the deformation of adjacent pipeline induced by quasi-rectangular tunneling. Through the analyses of engineering cases, the comparison between analytical solution for the free-field deformation and measured data is conducted. Meanwhile, the numerical simulation technique and the physical modelling tests for the pipeline deformation are utilized to compare the simplified analytical results. In addition, the primary parameters are conducted for the interaction mechanics between quasi-rectangular tunneling and existing pipeline, such as the pipeline diameter, the geometry size and centerline depth of pipeline and tunnel, the structural physics modulus of pipeline, the compressive modulus of ground, and the ground loss parameter. The results of this study are of great significance for exploring the geomechanical effects induced by quasi-rectangular shield tunneling in clays.
Performance evaluation and prediction of activated carbon for VOCs via experiments and LFER methods
Yufeng Zhao,Mengxi Zhang,Chen Yang,Ruyi Xiang,Xudong Yang,Longzhe Cui 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.116 No.-
Due to the diversity and fluidity of volatile organic compounds (VOCs), it is difficult to conduct experimentalstudies on activated carbon (AC) used to capture VOCs in industry. Therefore, predicting theadsorption capacity of AC for VOCs is of great significance for evaluating the adsorption performanceof AC and developing its promising applications. Herein, based on the experimental data of dynamicadsorption, the poly parameter linear free energy relationship (pp-LFER) model was developed to quantifythe interactions between VOCs and AC. Through the dynamic adsorption curves of 25 VOCs on a fixedbed packed with the AC, the partition coefficient (PC) and adsorption capacity (q) of AC for VOCs werecalculated, and the pp-LFER equations used to predict them were established. For the PC values, thepp-LFER model consists of the excess molar refractive index (E), molar polarizability (S), hydrogenbondacidity (A), and logarithmic hexadecane-air partition coefficient (L), and the R2 of it was 0.86. Forthe ln q values, the developed model can predict it in R2 of 0.83, and the increased adsorption capacitywas predominantly attributed to the dispersive interaction (lL). Finally, the internal and external validationresults confirmed that the developed models have reliability, robustness, and predictability.
Super-Resolution Reconstruction based on Tukey Norm and Adaptive Bilateral Total Variation
Jie Shen,Feng Xu,Mengxi Xu,Yun Yang,Ruili Wang,Lili Zhang 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.5
In Bilateral Total Variation (BTV) regularized super-resolution reconstruction (SRR), the fidelity item is only applicable to a specific noise model, and the fixed weight of BTV regularization term cannot adapt to the changes in an image. Thus, this paper proposes a SRR algorithm based on the Tukey fidelity term and adaptive BTV regularization term. The Tukey fidelity term has a more effective outliers suppression feature to deal with complex noises, and the weight of adaptive BTV regularization term can resize itself according to the changes of image textures, which can achieve the purposes of suppressing noises and preserving edges. Experimental results show that, compared with other algorithms, the proposed algorithm has better vision effects and higher Peak Signal-to-noise Ratio (PSNR) values.