A Unified Evaluation of Liquefaction Triggering via Effective-Stress Site Response Analysis and Seismic Hazard: A Case Study from the 2023 Türkiye Earthquakes

Read the full article See related articles

Discuss this preprint

Start a discussion What are Sciety discussions?

Listed in

This article is not in any list yet, why not save it to one of your lists.
Log in to save this article

Abstract

Liquefaction-induced hazard at the Saadet Yusuf Mıstıkoğlu (SYM) school in Antakya (Hatay) during the 6 February 2023 Türkiye earthquakes provide an unique case study to evaluate (i) liquefaction triggering through pore-water-pressure (PWP) generation in one-dimensional (1D) effective-stress nonlinear (NL) site response analysis (SRA), which advances beyond standard 1D total-stress assessments, and (ii) site-specific seismic hazard using an event-based deterministic seismic hazard analysis (DSHA) including near-fault effects. The SYM site is underlain by a very soft and deep soil column, with reference V S condition of 760 m/s reached at ~ 560 m. Strong-motion records from the closest rock/rock-like stations were deconvolved to the half-space horizon beneath the site and used as input to 1D equivalent-linear (EL) and NL SRA. EL simulations produced unrealistically high pseudo-spectral accelerations (PSA) near the fundamental period due to large strains, confirming the need for NL modeling. NL results indicate that Turkish Building Earthquake Code (TBEC, 2019) DD-1 (2% probability of exceedance) and DD-2 (10% probability of exceedance) spectra cover NL spectra for periods ≲ 1.0 s, whereas for periods ≳ 1.5 s the computed PSA values from NL approach or slightly surpass DD-1; the event-based DSHA better captures this long-period amplification. Effective-stress analyses yield PWP-ratio (r u ) ≈ 1.0 in the deeper sand layer, consistent with liquefaction observations, while the shallower sand layer remains below r u = 1.0 because energy dissipation at depth reduces cyclic demand above. The study links observed field performance to a reproducible workflow combining PWP-based 1D analysis with DSHA for deep soft sites.

Article activity feed