Experimental and numerical investigation of water-surface characteristics at crossing connected non-orthogonally to four flat channels

Abstract

Most studies on the flood flow characteristics at a crossing focus on channels connected orthogonally or at right angle, but studies on non-orthogonally connected channels remain limited. In this study, hydraulic-model experiments and numerical simulations are performed to analyze the characteristics of the water-surface variation in and around a crossing connected non-orthogonally to four flat channels. Comparison of the measured and simulated water depth distributions in and around the crossing indicates that the results are in relatively good agreement. In the experiment where the angle between two upstream channels is 45°, the water flow pattern in and around the crossing corresponds approximately to Type I proposed by Mignot et al. (2008). However, it was found that there is no any flow type to correspond to the water flow pattern measured in the case of the angle of 135°. For analyzing the variation of the water depth in and around the crossing with inflow, numerical simulation is performed by setting the inflow ratio of the two inlet channels to one, three, and six, respectively.

Köprü Ayak Ti̇pi̇ Ve Verevli̇ği̇ni̇n Su Yüzü Profi̇lleri̇ Üzeri̇ndeki̇ Etki̇si̇ni̇n Deneysel Ve Sayisal Olarak Araştirilmasi

“…Günümüzde su yüzü profillerinin hesaplanmasında çeşitli deneysel ve sayısal modelleme çalışmaları kullanılmaktadır [10][11]. Bu çalışmalarda çoğunlukla köprü inşaat aşamasından önce, köprüler etrafında oluşması muhtemel akım karakteristiklerini gösterir farklı senaryolar üretilir.…”

Spatiotemporal modeling of water inrush spreading in mine roadway networks

“…Currently, there is a lack of public data to test the validity of pipe-flow theory for water inrush events. The hydraulic model experiment can monitor the flow process under different inflow conditions to verify the numerical results, which has been widely used in urban flooding (Jeong & Jeong 2021). Moreover, calibration and validation are indispensable for model simulation (Xu et al 2019) based on experimental data.…”