JZUS - Journal of Zhejiang University SCIENCE

Journal of Zhejiang University SCIENCE A

Accepted manuscript available online (unedited version)

Reliability-based optimization of laterally loaded piles with necking defects

Author(s): Yang YU^1, ², Bo SHI¹, Qing LÜ ³, Chaofeng WU^1, ⁴
Affiliation(s): ¹Ocean College, Zhejiang University, Zhoushan 316021, China; more
Corresponding email(s): lvqing@zju.edu.cn
Key Words: Necking defect, Laterally loaded pile, Soil parameter uncertainties, Foundation construction design, p-y curve analysis, Stochastic modeling

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Yang YU^1,², Bo SHI¹, Qing LÜ ³, Chaofeng WU^1,⁴. Reliability-based optimization of laterally loaded piles with necking defects[J]. Journal of Zhejiang University Science A,in press.Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/jzus.A2400484

@article{title="Reliability-based optimization of laterally loaded piles with necking defects",
author="Yang YU^1,², Bo SHI¹, Qing LÜ ³, Chaofeng WU^1,⁴",
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year="in press",
publisher="Zhejiang University Press & Springer",
doi="https://doi.org/10.1631/jzus.A2400484"
}

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%J Journal of Zhejiang University SCIENCE A
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doi="https://doi.org/10.1631/jzus.A2400484"

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doi="https://doi.org/10.1631/jzus.A2400484"

Abstract
Chinese Summary
Academic Network
Reviewer Comment

Abstract: laterally loaded piles, which are commonly used in sandy stratum foundations, are particularly susceptible to necking defects during cast-in-place installation due to borehole collapse risks. These construction-induced geometric imperfections substantially compromise pile safety under lateral loading conditions. To address this critical design challenge, we develop a reliability-based multi-objective optimization framework that simultaneously accounts for structural safety, construction economy, and design robustness. The proposed methodology integrates p-y curve analysis with stochastic modeling, enabling efficient evaluation of pile performance considering uncertainties in soil parameters and depth and dimensional variations of necking defects. A systematic design framework was implemented and validated through experimental case studies, successfully generating optimal designs along the Pareto front. The identified knee-point configurations serve as practical compromise solutions for engineering decisions. Parametric investigations further elucidate the influence of necking defect depth and sand friction angle variations on optimal design outcomes, offering insights into risk mitigation for pile construction.

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