Kalkulator Risiko Likuefaksi
Perkirakan probabilitas likuefaksi tanah berdasarkan parameter gempa bumi dan kondisi tanah.
AssessmentMemahami Likuefaksi Tanah dalam Gempa Bumi
Likuefaksi tanah terjadi ketika tanah granular longgar yang jenuh kehilangan kekuatan dan kekakuannya selama guncangan gempa bumi, berperilaku sementara seperti cairan. Hal ini dapat menyebabkan bangunan tenggelam atau miring, pipa bawah tanah mengapung ke permukaan, tanah menyebar secara lateral di lereng lembut, dan erupsi pasir (sand boils) muncul di permukaan.
Nilai N Standard Penetration Test (SPT) adalah pengukuran lapangan kunci yang digunakan untuk menilai kerentanan likuefaksi. Ini mengukur jumlah pukulan palu yang diperlukan untuk mendorong sampler ke dalam tanah sejauh 30 cm — nilai N yang lebih rendah menunjukkan tanah yang lebih longgar dan lebih rentan.
Faktor Kunci dalam Risiko Likuefaksi
- Jenis tanah: Pasir longgar dan pasir berlanau paling rentan. Tanah liat dan kerikil umumnya tahan terhadap likuefaksi, meskipun tanah liat non-plastis dapat rentan. Tanah urugan dan tanah reklamasi sangat berisiko.
- Kedalaman muka air tanah: Muka air tanah yang lebih dangkal (0–5 m) secara dramatis meningkatkan risiko. Lokasi dengan muka air tanah lebih dalam dari 15 m umumnya memiliki risiko likuefaksi yang rendah.
- Intensitas dan durasi guncangan: Likuefaksi biasanya memerlukan guncangan berkelanjutan (beberapa detik) pada akselerasi di atas 0,1g. Semakin kuat dan semakin lama guncangan, semakin besar kemungkinan dan tingkat keparahan likuefaksi.
- Preseden historis: Area yang pernah mengalami likuefaksi pada gempa bumi masa lalu sangat mungkin mengalami likuefaksi lagi, karena kondisi geologis yang mendukung likuefaksi tidak berubah secara signifikan dari waktu ke waktu.
Kegunaan Umum
- Penilaian awal potensi likuefaksi untuk evaluasi properti di area pesisir rawan gempa.
- Memahami kondisi tanah dan parameter gempa bumi mana yang berkontribusi terhadap likuefaksi.
- Mengevaluasi risiko untuk lokasi di tanah urugan, tanah reklamasi, atau dekat sungai dan garis pantai.
- Mendukung diskusi pendidikan tentang teknik gempa bumi geoteknik.
How to Use
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1
Enter Soil and Site Data
Input your site's soil type (sand, silt, clay, fill), water table depth, and layer thickness. Sandy soils saturated with water at depths less than 10 meters carry the highest liquefaction potential.
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2
Specify the Earthquake Scenario
Enter the design earthquake magnitude (Mw) and peak ground acceleration (PGA) for your site. These can be obtained from the USGS seismic hazard map or from a site-specific hazard analysis at your return period of interest.
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3
Interpret the Liquefaction Potential Index
Review your Liquefaction Potential Index (LPI) value and qualitative risk category. LPI < 5 is considered low risk; LPI 5–15 moderate; LPI > 15 high. The tool follows the Iwasaki (1982) framework widely used in Japanese and US engineering practice.
About
Soil liquefaction has been recognized as a major earthquake hazard since the 1964 Niigata and Alaska earthquakes, which produced dramatic documentary evidence of ground failure. The modern analytical framework for liquefaction assessment was developed largely by H. Bolton Seed and colleagues at UC Berkeley in the 1970s–80s, based on Standard Penetration Test (SPT) blow counts as a proxy for soil density and resistance. The Seed-Idriss Simplified Procedure, subsequently updated by Youd et al. (2001) and Idriss and Boulanger (2008), remains the standard for routine engineering practice and forms the basis of most liquefaction screening tools.
Liquefaction assessment methods fall into two categories. Deterministic methods compute a factor of safety for each soil layer using measured in-situ properties (SPT N-value, CPT qc, shear wave velocity Vs) and the earthquake loading expressed as the Cyclic Stress Ratio. Probabilistic methods (Cetin et al., 2004; Boulanger and Idriss, 2014) incorporate uncertainty in both the demand and capacity parameters to produce probability-of-liquefaction values rather than binary pass/fail outcomes. Probabilistic approaches are increasingly favored in performance-based earthquake engineering (PBEE) frameworks, where risk is expressed as expected losses over the lifetime of a facility.
The 2010–2011 Canterbury earthquake sequence in New Zealand produced an unprecedented dataset for liquefaction research. The earthquakes affected Christchurch—a city founded on Holocene fluvial sediments—causing liquefaction across 80% of the residential Red Zone, the area ultimately purchased by the government for permanent managed retreat. GNS Science and the University of Canterbury deployed a multi-technique investigation including aerial photography, LiDAR surveys, and thousands of CPT soundings to map spatial variability in liquefaction manifestation at block-by-block resolution. The resulting Christchurch Liquefaction Vulnerability dataset is now one of the most comprehensive post-earthquake geotechnical records ever assembled and has driven significant advances in simplified liquefaction assessment procedures.