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Probabilistic Seismic Demand Analysis of Soil Nail Wall Structures Using Bayesian Linear Regression Approach

Author

Listed:
  • Mahdi Bayat

    (Department of Civil Engineering, Roudehen Branch, Islamic Azad University, Roudehen, Iran)

  • Amir Homayoon Kosarieh

    (Department of Civil Engineering, Roudehen Branch, Islamic Azad University, Roudehen, Iran)

  • Mehran Javanmard

    (Department of Civil Engineering, Faculty of Engineering, University of Zanjan, Zanjan P.O. Box 45195-313, Iran)

Abstract

This paper presents the seismic analytic fragility curve of soil nail wall structures. The numerical modeling procedure of the soil nail wall is presented and discussed in detail. Nonlinear elements have been used to provide an accurate finite element modeling of the soil nail wall. The effect of different soil modeling approaches is studied. Detailed procedures to select an efficient intensity measure are presented. Analytical fragility curves for the different performance levels of the soil nail wall are developed. Detailed techniques have been used to generate accurate soil modeling, such as the Mohr-Coulomb model (MC), Hardening Soil model (HS), and Hardening Soil model with Stiffness effect from small strains (HSS), and these are studied. Incremental dynamic analysis (IDA) is implemented to capture the response of the wall from linear to nonlinear levels. The efficiency of the two common intensity measures is studied (PGA and Sa(T 1 ,5%)). It has been demonstrated that HSS and HS models are more reliable techniques for soil modeling. Two common intensity measures are studied, and the efficiency and the sufficiency of them are compared. It has been suggested that Sa(T 1 ,5%) is a more efficient intensity measure than PGA for soil nail structures due to less depression in the IDA results. Different performance levels were defined to develop analytical fragility curves for different damage states.

Suggested Citation

  • Mahdi Bayat & Amir Homayoon Kosarieh & Mehran Javanmard, 2021. "Probabilistic Seismic Demand Analysis of Soil Nail Wall Structures Using Bayesian Linear Regression Approach," Sustainability, MDPI, vol. 13(11), pages 1-23, May.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:11:p:5782-:d:559243
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    Citations

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    Cited by:

    1. Vicente E. Capa & F. Javier Torrijo & Pedro A. Calderón & Carlos Hidalgo Signes, 2023. "Geotechnical Characterization of Quito’s North-Central Zone as Applied to Deep Excavation in the Urban Setting," Sustainability, MDPI, vol. 15(10), pages 1-31, May.
    2. Tomoya Uenaga & Pedram Omidian & Riya Catherine George & Mohsen Mirzajani & Naser Khaji, 2023. "Seismic Resilience Assessment of Curved Reinforced Concrete Bridge Piers through Seismic Fragility Curves Considering Short- and Long-Period Earthquakes," Sustainability, MDPI, vol. 15(10), pages 1-29, May.

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