Shear Stress Distribution and Deflection of Preflex I-Girder with Corrugated Steel Web

A new type of preflex I-girder with corrugated steel web has been proposed to provide better solution for urban elevated bridge. The purpose of this study is to explore shear stress distribution and deflection of such preflex I-girder. Shear stress distribution in section of steel-concrete composite girder was analyzed by shearing stress integral equation and piecewise function, and a quarter-scale preflex I-girder with corrugated steel web was fabricated and tested. Experimental and analytical results show that the shear stiffness is only depends on corrugated steel web, and the shear stress is uniformly distributed along the height of corrugated web. It is found that the proposed shear stress equation is consistent with the experimental result and the deflection integral equation is agreed well with the FEA result. The result suggests that the shear deflection is as larger as 25.8% of the total deflection, and should take shearing deflection into consideration.

Download Full-text

Evaluation of Wall Shear Stress Distribution in Upward Slug Flow

10.26678/abcm.encit2016.cit2016-0032 ◽

2016 ◽

Author(s):

jonathan nobrega ◽

Eugênio Spanó Rosa

Keyword(s):

Shear Stress ◽

Stress Distribution ◽

Wall Shear Stress ◽

Slug Flow ◽

Shear Stress Distribution ◽

Wall Shear Stress Distribution ◽

Wall Shear

Download Full-text

Assessing Machine Learning versus a Mathematical Model to Estimate the Transverse Shear Stress Distribution in a Rectangular Channel

Mathematics ◽

10.3390/math9060596 ◽

2021 ◽

Vol 9 (6) ◽

pp. 596

Author(s):

Babak Lashkar-Ara ◽

Niloofar Kalantari ◽

Zohreh Sheikh Khozani ◽

Amir Mosavi

Keyword(s):

Shear Stress ◽

Stress Distribution ◽

Fuzzy Inference ◽

Rectangular Channel ◽

Tsallis Entropy ◽

Shear Stress Distribution ◽

Data Series ◽

Shear Stresses ◽

Inference System ◽

Aspect Ratios

One of the most important subjects of hydraulic engineering is the reliable estimation of the transverse distribution in the rectangular channel of bed and wall shear stresses. This study makes use of the Tsallis entropy, genetic programming (GP) and adaptive neuro-fuzzy inference system (ANFIS) methods to assess the shear stress distribution (SSD) in the rectangular channel. To evaluate the results of the Tsallis entropy, GP and ANFIS models, laboratory observations were used in which shear stress was measured using an optimized Preston tube. This is then used to measure the SSD in various aspect ratios in the rectangular channel. To investigate the shear stress percentage, 10 data series with a total of 112 different data for were used. The results of the sensitivity analysis show that the most influential parameter for the SSD in smooth rectangular channel is the dimensionless parameter B/H, Where the transverse coordinate is B, and the flow depth is H. With the parameters (b/B), (B/H) for the bed and (z/H), (B/H) for the wall as inputs, the modeling of the GP was better than the other one. Based on the analysis, it can be concluded that the use of GP and ANFIS algorithms is more effective in estimating shear stress in smooth rectangular channels than the Tsallis entropy-based equations.

Download Full-text