Experimental evaluation of scour reduction around oblong collar pier structure: an integrative approach

IF 5.6 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement Pub Date : 2025-10-06 DOI:10.1016/j.measurement.2025.119241

Tania Sultana, Buddhadev Nandi, Subhasish Das

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引用次数: 0

Abstract

Collar pier structure (CPS) effectively reduces the rate of scouring, highlighting the importance of temporal scour depth (d_s) estimation to enhance bridge safety. A thorough literature review is conducted to collect 696 data points and equations related to oblong CPS. The key parameters, including pier length × width (L × D), collar length × width × position (L* × W × H), sediment size, and velocity, are identified on d_s and their influences are evaluated. Performing new experiments varying W and L, another 174 data points are obtained, measuring d_s at five azimuthal positions (ϕ) in a flume of 11 m long, 0.81 m wide, and 0.60 m deep, with a uniform sediment bed thickness of 0.20 m. For a pier without a collar (PWOC), the location of maximum d_s is observed upstream (ϕ = 0°), whereas with a collar (PWC), the location shifts downstream (ϕ = 135°). A maximum 93.81 % scour reduction is achieved when W/D = 3.5 and L/D = 2. Conversely, the minimum scour reduction is only 10.74 % when W/D = 1.5 and L/D = 4. Limited literature provides formulas for calculating d_s, mainly relying on restricted data. The data from previous studies are rarely utilized for conducting comprehensive analyses. A new formula for d_s is developed by applying nonlinear regression analysis combined with the Gauss-Newton optimization technique. Its efficacy is confirmed through comparison with both experimental and literature datasets using statistical evaluation metrics. This new formula shows significantly improved accuracy by 10.8–54.2 % in terms of P_in when compared to the literature formula. This research offers engineers a reliable approach for predicting d_s across different scenarios, ultimately improving bridge safety.

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长颈墩结构减冲试验评价：综合方法

环墩结构有效地降低了冲刷率，突出了时间冲刷深度估算对提高桥梁安全性的重要性。我们进行了全面的文献综述，收集了696个数据点和方程有关的长方形CPS。确定了桥墩长度×宽度（L × D）、桥墩长度×宽度×位置（L* × W × H）、泥沙粒径和流速等关键参数，并对其影响进行了评价。在进行W和L变化的新实验时，获得了另外174个数据点，在11米长，0.81米宽，0.60米深的水槽中测量五个方位位置（ϕ）的ds，均匀沉积物厚度为0.20米。对于没有环（PWOC）的码头，最大ds的位置在上游观察（ϕ = 0°），而有环（PWC），位置向下游移动（ϕ = 135°）。当W/D = 3.5, L/D = 2时，最大减冲率为93.81%。相反，当W/D = 1.5和L/D = 4时，最小冲刷减量仅为10.74%。有限的文献提供了计算ds的公式，主要依靠有限的数据。很少利用以往研究的数据进行综合分析。将非线性回归分析与高斯-牛顿优化技术相结合，得到了一个新的ds计算公式。通过使用统计评价指标与实验和文献数据集的比较，证实了其有效性。与文献公式相比，新公式的Pin精度显著提高了10.8 - 54.2%。这项研究为工程师提供了一种可靠的方法来预测不同情况下的事故，最终提高桥梁的安全性。

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

Measurement 工程技术-工程：综合

CiteScore

10.20

自引率

12.50%

发文量

1589

审稿时长

12.1 months

期刊介绍： Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.