Artificial Intelligence Applied to Soil Compaction Control for the Light Dynamic Penetrometer Method

Compaction quality control in earthworks and pavements still relies mainly on density-based acceptance referenced to laboratory Proctor tests, which are costly, time-consuming, and spatially sparse. Lightweight dynamic cone penetrometer (LDCP) provides rapid indices, such as <inline-formula><math xm...

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Bibliografische Detailangaben

Hauptverfasser:	Jorge Rojas-Vivanco, José García, Gabriel Villavicencio, Miguel Benz, Antonio Herrera, Pierre Breul, German Varas, Paola Moraga, Jose Gornall, Hernan Pinto
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2025-10-01
Schriftenreihe:	Mathematics
Schlagworte:	compaction control dynamic penetrometer soils machine learning
Online-Zugang:	https://www.mdpi.com/2227-7390/13/21/3359
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