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<Article>
<Journal>
				<PublisherName>انجمن هیدرولیک ایران</PublisherName>
				<JournalTitle>نشریه علمی هیدرولیک</JournalTitle>
				<Issn>2345-4237</Issn>
				<Volume></Volume>
				<Issue>مقالات آماده انتشار</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>02</Month>
					<Day>04</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A Laboratory Study of the Controlling Role of Worst-Case Log Placement and Pier–Abutment Effects on Accumulation Probability</ArticleTitle>
<VernacularTitle>A Laboratory Study of the Controlling Role of Worst-Case Log Placement and Pier–Abutment Effects on Accumulation Probability</VernacularTitle>
			<FirstPage></FirstPage>
			<LastPage></LastPage>
			<ELocationID EIdType="pii">239796</ELocationID>
			
<ELocationID EIdType="doi">10.30482/jhyd.2026.554029.1750</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>صبا</FirstName>
					<LastName>سوری</LastName>
<Affiliation>دانشکده عمران، دانشگاه سمنان،</Affiliation>
<Identifier Source="ORCID">0000-0003-4521-534X</Identifier>

</Author>
<Author>
					<FirstName>حجت</FirstName>
					<LastName>کرمی</LastName>
<Affiliation>Department of Civil Engineering, Semnan University, Semnan, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>10</Month>
					<Day>19</Day>
				</PubDate>
			</History>
		<Abstract>The accumulation of large wood (LW) at bridge structures poses a significant flood hazard, yet the critical role of initial log placement in triggering these blockages remains insufficiently quantified. This study provides a systematic experimental investigation into the parameters governing the accumulation probability (AP) at bridge piers and abutments. It focuses on four key domains: (1) initial log placement conditions (release distance, lateral position, and orientation); (2) approach flow conditions; (3) geometric characteristics of the bridge, particularly the varying distance between the pier and abutment; and (4) LW characteristics, including length, diameter, branching, and transport regime (uncongested vs. congested). Results identified the worst-case scenario for LW accumulation around piers and abutments: logs released 1m upstream of the abutment nose, from the channel centerline, and oriented perpendicular to the flow. Furthermore, the analysis reveals that accumulation probability is predominantly a function of approach flow velocity, log length and diameter, and the distance between the pier and abutment. Overall, these findings provide a quantitative, design-oriented basis for estimating LW accumulation risk and for guiding the layout of pier–abutment systems to enhance resilience against wood-laden floods.&lt;br&gt;The experimental program was conducted in a large rectangular flume (14 m length, 1 m width, 0.8 m depth) at Semnan University&#039;s Hydraulics Laboratory. The setup featured two circular plexiglass piers (diameter D_p = 0.05 m) and a rectangular abutment positioned 9.45 m downstream in the channel centerline. Three distinct flow conditions were examined, with discharges of 0.016, 0.026, and 0.036 m³/s, corresponding to approach velocities (u_0) of 0.16, 0.26, and 0.36 m/s and Froude numbers (Fr_0) of 0.16, 0.26, and 0.36, respectively. The approach flow depth (h_0) was maintained constant at 0.10 m throughout all experiments. Model large wood elements consisted of smooth natural wooden logs with specific lengths of L_Lw = 0.25, 0.3, 0.35, and 0.40 m and corresponding diameters of d_LW = 0.006, 0.012, and 0.025 m, scaled using a factor of λ = 20 based on field observations from the 2021 flood event in the Sajadrood River, Iran.&lt;br&gt;&lt;br&gt;The experimental methodology employed a novel two-pronged framework. First, critical placement thresholds were identified by testing combinations of key parameters: LW release distances of 1 m, 3 m, and 6 m from the abutment nose; lateral release positions at the left bank (adjacent to the abutment), channel centerline, and right bank; and log position angles of 0°, 45°, and 90° relative to the flow direction. The combination that maximized AP defined the worst-case scenario. Subsequently, this worst-case scenario was utilized to systematically quantify the influence of other governing parameters, including LW characteristics and transport regimes.&lt;br&gt;&lt;br&gt;The results identify a definitive worst-case scenario where logs released 1 m upstream of the abutment, from the channel centerline, with a perpendicular orientation (θ_LW = 90°) demonstrated dramatically increased accumulation probabilities. This configuration showed up to 86% higher AP compared to longer release distances (6 m) and 375% greater probability compared to parallel orientations (0°). The accumulation probability decreased sharply from p = 45% at x_LW = 1 m to p = 25% at x_LW = 3 m, and further to p = 6% at x_LW = 6 m for 25 cm logs at velocity 0.16 m/s. Similarly, for longer logs (L_LW = 40 cm), the probability of accumulation decreased by 61% as release distance increased from 1 m to 6 m.&lt;br&gt;&lt;br&gt;Regarding orientation effects, for a 25 cm log at u_0 = 0.16 m/s, the accumulation probability increased progressively from p = 12% at 0° to p = 40% at 45°, and reached p = 45% at 90°. This probability rose dramatically for longer logs, reaching p = 0.93 for a 40 cm log at the perpendicular orientation. Lateral positioning also proved critical, with the highest accumulation probability consistently occurring at the channel centerline across all tested conditions. At velocity 0.16 m/s, accumulation probability for long logs reached 85% at the centerline, compared to 77% and 75% on the left and right banks, respectively. This distinction became more pronounced at velocity 0.26 m/s, where the difference between the centerline (80%) and the right bank (55%) reached 25 percentage points.&lt;br&gt;&lt;br&gt;Log dimensions significantly influenced accumulation patterns. Longer logs (40 cm) showed dramatically higher accumulation rates than short logs (25 cm), with probability increasing by 365% at velocity 0.16 m/s and surging by 656% at velocity 0.26 m/s. Diameter effects were also substantial, with p = 22% (d_LW = 0.6 cm), 51% (d_LW = 1.2 cm), and 55% (d_LW = 2.5 cm) for L_LW = 25 cm at u_0 = 0.16 m/s. Shape characteristics further modulated accumulation behavior, with branched logs (89%) and coniferous logs (93%) showing significantly higher AP than smooth logs (29%) at low velocity (0.16 m/s), though these differences diminished at higher velocities.&lt;br&gt;&lt;br&gt;Transport regime emerged as another crucial factor, with congested transport resulting in substantially higher AP compared to uncongested conditions. For L_LW = 25 cm, AP increased by an average of 15.5% for congested wood transport, while for L_LW = 40 cm, the value increased by an average of 82%. Under congested transport with L_LW = 40 cm, p ≥ 90%, exhibiting the highest values observed in this study.&lt;br&gt;&lt;br&gt;These findings collectively establish initial log placement as a decisive factor in accumulation initiation, offering novel, quantitative insights for predictive models and the design of safer bridge infrastructure in wood-prone rivers. The research demonstrates that how wood arrives at a structure can be more influential than the wood&#039;s dimensions alone, providing crucial information for flood hazard assessment and resilient infrastructure design in river systems susceptible to large wood transport during flood events.</Abstract>
			<OtherAbstract Language="FA">Abstract&lt;br&gt;The accumulation of large wood (LW) at bridge structures poses a significant flood hazard, yet the critical role of initial log placement in triggering these blockages remains insufficiently quantified. This study provides a systematic experimental investigation into the parameters governing the accumulation probability (AP) at bridge piers and abutments. It focuses on four key domains: (1) initial log placement conditions (release distance, lateral position, and orientation); (2) approach flow conditions; (3) geometric characteristics of the bridge, particularly the varying distance between the pier and abutment; and (4) LW characteristics, including length, diameter, branching, and transport regime (uncongested vs. congested). Results identified the worst-case scenario for LW accumulation around piers and abutments: logs released 1m upstream of the abutment nose, from the channel centerline, and oriented perpendicular to the flow. Furthermore, the analysis reveals that accumulation probability is predominantly a function of approach flow velocity, log length and diameter, and the distance between the pier and abutment. Overall, these findings provide a quantitative, design-oriented basis for estimating LW accumulation risk and for guiding the layout of pier–abutment systems to enhance resilience against wood-laden floods.</OtherAbstract>
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			<Object Type="keyword">
			<Param Name="value">Pier&amp;‌ndash</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">abutment system</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Large wood (LW)</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Accumulation probability (AP)</Param>
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			<Object Type="keyword">
			<Param Name="value">Worst-case log placement</Param>
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			<Object Type="keyword">
			<Param Name="value">Bridge clogging</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Log release conditions</Param>
			</Object>
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<ArchiveCopySource DocType="pdf">https://jhyd.iha.ir/article_239796_343afadd60962d6fbd3832edea82cc37.pdf</ArchiveCopySource>
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