Forest and rural roads are essential infrastructure for sustainable land management and wood transportation. However, the combined effect of repeated heavy machinery traffic and environmental conditions can degrade the road surface, leading to deep rutting, and loss of bearing capacity. This study, which is intended as a preliminary analysis of gravel rural roads, evaluated the structural performance and load-bearing capacity of a rural gravel road in the Po Valley. Specifically, investigated how roadside trees, rainfall, and traffic affect overall road stability. The analysis was conducted across four sampling campaigns from February to Julay 2026, integrating drone survey, Light Weight Deflectometer dynamic deformation modulus, laboratory moisture content and particle-size analysis and local ARPAV weather data. Results showed that both open and tree-bordered road segments maintained adequate bearing capacity with respect to international standard. Therefore, statistical analysis revealed no significant negative or positive impacts from tree presence, no correlation between soil moisture content, rainfall and structural stability, highlighting the effective drainage of the gravel layer. Overall, the non-destructive method used in this work provides a efficient approach for monitoring and managing forest and rural road networks.

Forest and rural roads are essential infrastructure for sustainable land management and wood transportation. However, the combined effect of repeated heavy machinery traffic and environmental conditions can degrade the road surface, leading to deep rutting, and loss of bearing capacity. This study, which is intended as a preliminary analysis of gravel rural roads, evaluated the structural performance and load-bearing capacity of a rural gravel road in the Po Valley. Specifically, investigated how roadside trees, rainfall, and traffic affect overall road stability. The analysis was conducted across four sampling campaigns from February to Julay 2026, integrating drone survey, Light Weight Deflectometer dynamic deformation modulus, laboratory moisture content and particle-size analysis and local ARPAV weather data. Results showed that both open and tree-bordered road segments maintained adequate bearing capacity with respect to international standard. Therefore, statistical analysis revealed no significant negative or positive impacts from tree presence, no correlation between soil moisture content, rainfall and structural stability, highlighting the effective drainage of the gravel layer. Overall, the non-destructive method used in this work provides a efficient approach for monitoring and managing forest and rural road networks.

Assessing climate-induced changes in the bearing capacity of rural gravel roads using a Light Weight Deflectometer

CASERA, ILARIA
2025/2026

Abstract

Forest and rural roads are essential infrastructure for sustainable land management and wood transportation. However, the combined effect of repeated heavy machinery traffic and environmental conditions can degrade the road surface, leading to deep rutting, and loss of bearing capacity. This study, which is intended as a preliminary analysis of gravel rural roads, evaluated the structural performance and load-bearing capacity of a rural gravel road in the Po Valley. Specifically, investigated how roadside trees, rainfall, and traffic affect overall road stability. The analysis was conducted across four sampling campaigns from February to Julay 2026, integrating drone survey, Light Weight Deflectometer dynamic deformation modulus, laboratory moisture content and particle-size analysis and local ARPAV weather data. Results showed that both open and tree-bordered road segments maintained adequate bearing capacity with respect to international standard. Therefore, statistical analysis revealed no significant negative or positive impacts from tree presence, no correlation between soil moisture content, rainfall and structural stability, highlighting the effective drainage of the gravel layer. Overall, the non-destructive method used in this work provides a efficient approach for monitoring and managing forest and rural road networks.
2025
Assessing climate-induced changes in the bearing capacity of rural gravel roads using a Light Weight Deflectometer
Forest and rural roads are essential infrastructure for sustainable land management and wood transportation. However, the combined effect of repeated heavy machinery traffic and environmental conditions can degrade the road surface, leading to deep rutting, and loss of bearing capacity. This study, which is intended as a preliminary analysis of gravel rural roads, evaluated the structural performance and load-bearing capacity of a rural gravel road in the Po Valley. Specifically, investigated how roadside trees, rainfall, and traffic affect overall road stability. The analysis was conducted across four sampling campaigns from February to Julay 2026, integrating drone survey, Light Weight Deflectometer dynamic deformation modulus, laboratory moisture content and particle-size analysis and local ARPAV weather data. Results showed that both open and tree-bordered road segments maintained adequate bearing capacity with respect to international standard. Therefore, statistical analysis revealed no significant negative or positive impacts from tree presence, no correlation between soil moisture content, rainfall and structural stability, highlighting the effective drainage of the gravel layer. Overall, the non-destructive method used in this work provides a efficient approach for monitoring and managing forest and rural road networks.
Trafficability
Seasonal variability
Elastic modulus
Forestry
Agriculture
File in questo prodotto:
File Dimensione Formato  
CASERA_ILARIA.pdf

accesso aperto

Dimensione 5.51 MB
Formato Adobe PDF
5.51 MB Adobe PDF Visualizza/Apri

The text of this website © Università degli studi di Padova. Full Text are published under a non-exclusive license. Metadata are under a CC0 License

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/118604