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Journals / Avrupa Bilim ve Teknoloji Dergisi / 2026 / Sayı: 28 Özel Sayı

The Prediction of Embedment Depth of Cantilever Sheet Piles Using Linear Regression Analysis

Konsol Palplanş Duvarların Gömme Derinliklerinin Lineer Regresyon Analizi ile Tahmini

Recep Akan(SULEYMAN DEMIREL UNIVERSITY)0000-0002-9277-1659
Pages
1336–1341
Publication Date
2021-11-30
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

It has been seen that the embedding depth can be successfully estimated with the expression obtained by multiple regression analysis.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Sheet pile walls are commonly used retaining structures in geotechnical engineering applications, especially to meet the lateral earth pressures that occur as a result of excavation.
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Key Findings & Data:In the design of cantilever sheet pile walls, it is necessary to calculate the required embedment depth (D) and the maximum bending moment (Mmax) that will affect the sheet pile section.
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Conclusion & Impact:It has been seen that the embedding depth can be successfully estimated with the expression obtained by multiple regression analysis.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Konsol palplanş duvarlar · Gömme derinliği · Çoklu regresyon analizi

Abstract

Sheet pile walls are commonly used retaining structures in geotechnical engineering applications, especially to meet the lateral earth pressures that occur as a result of excavation. In the design of cantilever sheet pile walls, it is necessary to calculate the required embedment depth (D) and the maximum bending moment (Mmax) that will affect the sheet pile section. In civil engineering applications, lateral earth pressures must be determined and a third-order equation must be solved in order to determine the embedment depth (D). Within the scope of this study, an expression for the estimation of embedment depth in cantilever sheet pile walls was obtained. It has been seen that the embedding depth can be successfully estimated with the expression obtained by multiple regression analysis.

Özet

Palplanş duvarlar geoteknik mühendisliği uygulamalarında, özellikle kazı sonucunda meydana gelen yanal toprak basınçlarını karşılamak için yaygın olarak kullanılan istinat yapılarıdır. Konsol palplanş duvarların tasarımında gerekli gömme derinliğinin (D) ve palplanş kesitine etkiyecek maksimum eğilme momentinin(Mmax) hesaplanması gereklidir. İnşaat mühendisliği uygulamalarında, gömme derinliğinin (D) belirlenebilmesi için yanal toprak basınçlarının belirlenmesi ve üçüncü dereceden bir denklem çözülmesi gerekmektedir. Bu çalışma kapsamında, konsol palplanş duvarlarda gömme derinliğinin tahmini için ifade elde edilmiştir. Çoklu regresyon analizi ile elde edilen ifade ile gömme derinliğinin başarılı şekilde tahmin edilebildiği görülmüştür.

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Cite This Article

Akan, R. (2021). The Prediction of Embedment Depth of Cantilever Sheet Piles Using Linear Regression Analysis. Avrupa Bilim ve Teknoloji Dergisi, Sayı: 28 Özel Sayı, 1336–1341. https://doi.org/10.31590/ejosat.1015292

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