Our research advances geotechnical understanding and practice through the integration of novel data acquisition techniques, advanced data analytics, and computational methods. We develop innovative approaches to enhance the characterization, modeling, and performance assessment of ground and infrastructure systems.
Our work spans multiple domains and scales, from the micro scale (e.g., constitutive modeling of granular materials), to the meso scale (e.g., geotechnical engineering and construction system behavior), and up to the macro or regional scale (e.g., hazard characterization and risk assessment).
Grants, institutional funding, and external collaborations supporting our research.
Funder: Center for Infrastructure and Built Environment (CIBE) | Scheme: | Period: 2024 | Budget:
Penelitian ini bertujuan untuk mengidentifikasi geometri dan mekanisme pergerakan tanah serta karakteristik geoteknik pada lokasi kejadian longsor di Cibeduk, Kecamatan Rongga, Kabupaten Bandung Barat. Metode yang digunakan meliputi survei foro udara menggunakan drone, observassi menggunakan pocket penetrometer dan torvane shear test, serta pengambilan sampel tanah terganggu dan takterganggu. Hasil investigasi menunjukkan bahwa: (i) Pergerakan tanah merupakan kelongsoran yang mencakup area seluas 1,18 ha dengan arah utara ke selatan, dan dapat diklasifikasikan sebagai earth slump, khususnya berupa rotational slides. (ii) Karakteristik geologi di lokasi berupa perselingan batulempung, batulanau, dan batupasir.
Funder: | Scheme: | Period: September 2024 – March 2025 | Budget:
This research develops and evaluates a hybrid monitoring approach for soil water content along the Cipularang Toll Road by integrating JAXA GSMaP rainfall data, NASA SMAP soil moisture data, and embedded in-situ sensors connected through the ZL6 Meter Group system. The study assesses the consistency between satellite-derived and in-situ measurements, as well as the response of soil moisture to rainfall events under tropical environmental conditions. The expected outcome is a scalable monitoring framework that improves understanding of long-term monitoring applications along toll road infrastructure corridors.
Ongoing and recent thesis and research projects by our graduate and undergraduate students (S1 / S2 / S3).