Abstract

A more complete understanding of scour mechanisms for flows downstream of grade-control structures, including their temporal evolution, has the potential to lead to improved predicting tools for design. To date, design equations have been mostly derived empirically, i.e., by parametric modelling (at generally-small scales) corresponding to specific structure configurations, and for limited ranges of hydraulic conditions. Although these approaches allowed different authors to propose many empirical and/or semi-empirical equations, they lack generality and may lead to incorrect estimations when applied outside their ranges of validity. First-principles-based methods with solid calibration and validation procedures can overcome these issues. Following recent theoretical advancements presented elsewhere by the last three authors, in this work we analyze and test the predictive capability of a scour evolution model based on the phenomenological theory of turbulence (PTT) by using a large dataset pertaining to different grade-control structures. Although the PTT model was developed (and validated) for scour evolution caused by oblique and vertical plunging jets, we show that its basic assumptions are still valid for the addressed low-head structures, encompassing rock structures, stepped gabion weirs, rock and bed sills, and others. Furthermore, we also provide interesting insights on scour evolution by contrasting the predicting capability of our model against experimental data by different authors for specific structures. Results of the comparison conclusively show that the PTT model has a general validity and represents a trustable tool to estimate scour evolution regardless of the structure configuration and hydraulic conditions.

Highlights

  • (Note that the impact angle of the jet increases with the drop height being water discharge and tailwater depth constant.) These results suggest that the kinetics of scour evolution downstream of grade-control structures mainly depends jetheight impact particular, they observed that scour depth increases faster withon thethe drop for angle verticalon the water surface

  • The analysis of scour evolution under steady flow conditions was conducted considering different grade-control structures including rock and stepped gabion weirs, rock and bed sills and other grade-control structures characterized by different geometry of the downstream surface

  • We validated the predicting capability of a fully theoretical, scour evolution model based on the phenomenological theory of turbulence

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Summary

Introduction

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. Analyzed similarities and differences in the flow behavior, and highlighted the main parameters affecting the scour process downstream of stepped gabion weirs, rock, gradecontrol structures, block ramps, and cross-vane weirs They determined that the most important parameters were the tailwater depth and the densimetric Froude number. Empirical equations proposed by different authors for relatively similar structures may result in widely-disparate estimations of the scour characteristics because of the diverse ranges of hydraulic parameters under which they were validated Overall, they lack generality and do not provide exhaustive interpretations of the physics of the scour process. To model jet driven scour processes, Hoffmans [11,12] applied the linear momentum equation to a selected control volume In this case, the analytical closure was obtained by introducing a non-dimensional parameter calibrated with experimental data. The scour evolution equation developed by Bombardelli et al [16] furnishes reasonably good estimations of the scour evolution, without tuning the coefficients and exponents derived for scour processes caused by jets

Literature Background
On the Applicability of the PTT to Grade-Control Structures
Developing and Developed Phases
In this the non-dimensional
Homothetic Expansion of the Scour Hole
Validation of the PTT-Evolution Model
Findings
Summary and Conclusions
Full Text
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