Dataset on the long-term monitoring of foundation vertical deformations on medium-expansive soilMendeley Data
This paper presents a complete data set from the long-term field monitoring of vertical deformation in four footings resting on medium-expansive soil. The four key variables (vertical deformation, daily average air temperature, weekly cumulative rainfall, and soil water content at a depth of 60 cm)...
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Elsevier
2025-04-01
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| Series: | Data in Brief |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340925001544 |
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| author | Hawkar Hashim Ibrahim Rizgar Ali Hummadi |
| author_facet | Hawkar Hashim Ibrahim Rizgar Ali Hummadi |
| author_sort | Hawkar Hashim Ibrahim |
| collection | DOAJ |
| description | This paper presents a complete data set from the long-term field monitoring of vertical deformation in four footings resting on medium-expansive soil. The four key variables (vertical deformation, daily average air temperature, weekly cumulative rainfall, and soil water content at a depth of 60 cm) were recorded over a period of 974 days. The vertical deformations were measured with high-precision dial gauges. At the same time, the advanced instruments, Bosch GLL 3-80 G Professional line laser and LEICA DNA 10 digital levels were cross-used for measurement to ensure the accuracy and reliability of the results. The data collection was designed to include the effects of expansive soil properties, such as swelling during wet seasons and shrinkage during dry seasons. This is necessary for understanding the soil-structure interaction under natural field conditions, which differs considerably from controlled laboratory studies. This dataset presents a great possibility of being reused by researchers to support further studies on soil-structure interaction, develop predictive models for expansive soils, and analyze long-term structural stability. It is particularly useful in developing machine learning algorithms that can be used to predict foundation behavior in response to different environmental conditions, optimize foundation designs on expansive soils, and specifically predict foundation heave. The availability of this dataset provides an invaluable resource in advancing geotechnical engineering research. |
| format | Article |
| id | doaj-art-dc90db559cf74443b8f5b54ee9d6dbd5 |
| institution | OA Journals |
| issn | 2352-3409 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj-art-dc90db559cf74443b8f5b54ee9d6dbd52025-08-20T02:01:58ZengElsevierData in Brief2352-34092025-04-015911142210.1016/j.dib.2025.111422Dataset on the long-term monitoring of foundation vertical deformations on medium-expansive soilMendeley DataHawkar Hashim Ibrahim0Rizgar Ali Hummadi1Corresponding author.; Department of Civil Engineering, College of Engineering, Salahaddin University-Erbil, 44002 Erbil, Kurdistan Region, IraqDepartment of Civil Engineering, College of Engineering, Salahaddin University-Erbil, 44002 Erbil, Kurdistan Region, IraqThis paper presents a complete data set from the long-term field monitoring of vertical deformation in four footings resting on medium-expansive soil. The four key variables (vertical deformation, daily average air temperature, weekly cumulative rainfall, and soil water content at a depth of 60 cm) were recorded over a period of 974 days. The vertical deformations were measured with high-precision dial gauges. At the same time, the advanced instruments, Bosch GLL 3-80 G Professional line laser and LEICA DNA 10 digital levels were cross-used for measurement to ensure the accuracy and reliability of the results. The data collection was designed to include the effects of expansive soil properties, such as swelling during wet seasons and shrinkage during dry seasons. This is necessary for understanding the soil-structure interaction under natural field conditions, which differs considerably from controlled laboratory studies. This dataset presents a great possibility of being reused by researchers to support further studies on soil-structure interaction, develop predictive models for expansive soils, and analyze long-term structural stability. It is particularly useful in developing machine learning algorithms that can be used to predict foundation behavior in response to different environmental conditions, optimize foundation designs on expansive soils, and specifically predict foundation heave. The availability of this dataset provides an invaluable resource in advancing geotechnical engineering research.http://www.sciencedirect.com/science/article/pii/S2352340925001544Expansive clayGround movementSwellingSwell-shrinkageRainfall |
| spellingShingle | Hawkar Hashim Ibrahim Rizgar Ali Hummadi Dataset on the long-term monitoring of foundation vertical deformations on medium-expansive soilMendeley Data Data in Brief Expansive clay Ground movement Swelling Swell-shrinkage Rainfall |
| title | Dataset on the long-term monitoring of foundation vertical deformations on medium-expansive soilMendeley Data |
| title_full | Dataset on the long-term monitoring of foundation vertical deformations on medium-expansive soilMendeley Data |
| title_fullStr | Dataset on the long-term monitoring of foundation vertical deformations on medium-expansive soilMendeley Data |
| title_full_unstemmed | Dataset on the long-term monitoring of foundation vertical deformations on medium-expansive soilMendeley Data |
| title_short | Dataset on the long-term monitoring of foundation vertical deformations on medium-expansive soilMendeley Data |
| title_sort | dataset on the long term monitoring of foundation vertical deformations on medium expansive soilmendeley data |
| topic | Expansive clay Ground movement Swelling Swell-shrinkage Rainfall |
| url | http://www.sciencedirect.com/science/article/pii/S2352340925001544 |
| work_keys_str_mv | AT hawkarhashimibrahim datasetonthelongtermmonitoringoffoundationverticaldeformationsonmediumexpansivesoilmendeleydata AT rizgaralihummadi datasetonthelongtermmonitoringoffoundationverticaldeformationsonmediumexpansivesoilmendeleydata |