Backward erosion piping in numerical models: A literature review

IF 4.6 2区环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Environmental Modelling & Software Pub Date : 2025-09-11 DOI:10.1016/j.envsoft.2025.106681

E.M. van der Linde , M. Wewer , B.A. Robbins , O. Colomés , S.N. Jonkman , J.P. Aguilar-López

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引用次数: 0

Abstract

Backward erosion piping is a failure mechanism of dikes. Numerical modelling is crucial for design and assessment against BEP. Over 30 models have been developed, each with a different purpose and approach. This paper provides a comprehensive overview of the available numerical BEP models, highlighting their limitations, capabilities, and associated challenges. It discusses the different assumptions and their implications on the representation of BEP. Key challenges in the numerical modelling of BEP are (1) the flow (regime) inside the pipe, which is often simplified, even though the impact of this is relatively unknown. (2) The type of erosion (primary or secondary) differs per model, and even within a given type of erosion, approaches vary. (3) Overcoming the difference in scale is a trade-off between the computational effort and simplification. (4) Furthermore, validation of the physics in BEP modelling is difficult due to a of lack micro-scale experimental data.

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反向侵蚀管道的数值模型：文献综述

逆冲管是堤防的一种破坏机制。数值模拟对于设计和评估BEP至关重要。已经开发了30多个模型，每个模型都有不同的目的和方法。本文提供了可用的数值BEP模型的全面概述，突出了它们的局限性、能力和相关的挑战。它讨论了不同的假设及其对BEP表示的影响。BEP数值模拟的主要挑战是：(1)管道内的流动（状态），这通常是简化的，尽管其影响相对未知。(2)每个模型的侵蚀类型（原生或次生）不同，即使在给定的侵蚀类型内，方法也各不相同。(3)克服尺度上的差异是计算量和简化之间的权衡。(4)此外，由于缺乏微观尺度的实验数据，对BEP模型的物理验证是困难的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Environmental Modelling & Software 工程技术-工程：环境

CiteScore

9.30

自引率

8.20%

发文量

241

审稿时长

60 days

期刊介绍： Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.