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April 18, 2026Geodata and AI.0 citationsOpen Access

Introduction to TS-LIQ/CPTU/18 Database

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WDWei DuanZZZening ZhaoGCGuojun Cai

Key Points

  • To introduce the TS-LIQ/CPTU/18 database for evaluating liquefaction potential from CPTU data in earthquake-affected sites.
  • Compilation of CPTU data from 18 sites impacted by the 1976 Tangshan earthquake.
  • Inclusion of depth-wise measurements such as cone tip resistance and pore pressure.
  • Conducted uncertainty analyses for critical parameters based on international frameworks.
  • Provided comprehensive case histories covering both liquefied and non-liquefied outcomes.
  • Included rare high-cyclic stress ratio cases not well represented in existing databases.
  • Offered mean and standard deviation values for key parameters within critical layers.

Abstract

Reliable evaluation of liquefaction potential is crucial for seismic hazard assessment and resilient geotechnical design. This study introduces the TS-LIQ/CPTU/18 database, which compiles piezocone penetration test (CPTU) data from 18 sites impacted by the 1976 Tangshan earthquake ( M w 7.8) in northern China. The database comprises 18 CPTU case histories spanning both liquefied and non-liquefied outcomes and provides depth-wise CPTU measurements, including cone tip resistance ( q c ), sleeve friction ( f s ), pore pressure ( u 2 ), and essential metadata such as groundwater level, peak ground acceleration, and critical layer depth. Uncertainty analyses were conducted for key parameters following international frameworks, providing mean and standard deviation values within critical layers. The database encompasses rare high-cyclic stress ratio cases not well represented in existing global databases, offering a valuable foundation for refining empirical and probabilistic liquefaction triggering models and supporting more reliable earthquake hazard evaluation and geotechnical engineering applications. The TS-LIQ/CPTU/18 database is available at the Mendeley link: https://data.mendeley.com/datasets/4k36nfnypd/1

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Cite This Study

Duan et al. (2026) studied this question.

synapsesocial.com/papers/69e31f1a40886becb653e9e7https://doi.org/10.1016/j.geoai.2026.100083
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