Modeling and Prediction of Soil Settlements under Load Effects

Session

Civil Engineering, Infrastructure and Environment

Description

This study addresses the modeling and prediction of soil settlements resulting from loads applied to structural foundations. Soil settlements represent a critical issue in geotechnical engineering as they significantly impact the stability and performance of structures. The primary objective of this research is to develop an accurate and efficient model for predicting settlements, utilizing both analytical and numerical geotechnical methods. Key factors influencing soil behavior, including soil properties, load characteristics, and groundwater conditions, are thoroughly examined. The model was validated through a practical case study incorporating laboratory and field data. Results demonstrate that the proposed model provides reliable settlement predictions, enabling optimized foundation design and minimizing structural risks. This study contributes to the advancement of geotechnical design methodologies and offers a valuable tool for engineers and designers in the construction industry.

Keywords:

Soil settlements, Structural loads, Bearing capacity

ISBN

978-9951-982-41-2

Location

UBT Kampus, Lipjan

Start Date

25-10-2025 9:00 AM

End Date

26-10-2025 6:00 PM

DOI

10.33107/ubt-ic.2025.41

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Oct 25th, 9:00 AM Oct 26th, 6:00 PM

Modeling and Prediction of Soil Settlements under Load Effects

UBT Kampus, Lipjan

This study addresses the modeling and prediction of soil settlements resulting from loads applied to structural foundations. Soil settlements represent a critical issue in geotechnical engineering as they significantly impact the stability and performance of structures. The primary objective of this research is to develop an accurate and efficient model for predicting settlements, utilizing both analytical and numerical geotechnical methods. Key factors influencing soil behavior, including soil properties, load characteristics, and groundwater conditions, are thoroughly examined. The model was validated through a practical case study incorporating laboratory and field data. Results demonstrate that the proposed model provides reliable settlement predictions, enabling optimized foundation design and minimizing structural risks. This study contributes to the advancement of geotechnical design methodologies and offers a valuable tool for engineers and designers in the construction industry.