Fractal-wavelet diagnostics of liquefaction-induced transport corridor deformation after the 6 February 2023 Kahramanmaras¸ earthquakes: Evidence from the Hatay airport access road
RELIABILITY ENGINEERING & SYSTEM SAFETY, cilt.277, 2027 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 277
- Basım Tarihi: 2027
- Doi Numarası: 10.1016/j.ress.2026.113185
- Dergi Adı: RELIABILITY ENGINEERING & SYSTEM SAFETY
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, INSPEC, zbMATH, Academic Search Ultimate (EBSCO), Engineering Source (EBSCO)
- İstanbul Üniversitesi-Cerrahpaşa Adresli: Evet
Özet
The 6 February 2023 earthquakes in T & uuml;rkiye inflicted widespread damage on transportation infrastructure, resulting in complex, spatially heterogeneous deformation patterns, most notably along the Hatay Airport access road. Situated atop the alluvial deposits of the former Amik Lake basin, this roadway is inherently susceptible to liquefaction-induced settlement and ground instability. This study examines the underlying damage mechanisms affecting this strategically important corridor using advanced signal-processing methodologies that go beyond conventional analytical techniques. High-precision post-event GNSS measurements were employed to characterize the post-earthquake roadway surface profile and its spatial irregularity structure. The statistical characteristics and persistence of the resulting deformation signals were evaluated using Detrended Fluctuation Analysis (DFA), thereby assessing randomness and long-range dependence. Complementarily, the Continuous Wavelet Transform (CWT) was applied to spatially resolve deformation energy and to delineate critical damage hotspot areas along the road alignment. Google Earth Engine-based remote sensing validation was also incorporated. These results provide a quantitative and mathematically grounded interpretation of post-event geometric irregularities and the inferred deformation processes driven by soil-structure interaction and liquefaction phenomena. Collectively, the study underscores the efficacy of fractal and wavelet-based analytical frameworks as robust decision-support tools for post-earthquake damage evaluation and for informing prioritization of targeted rehabilitation and mitigation strategies.