Dataset from flexural, impact, and hydraulic pressure tests on driven energy piles

Data from the flexural, impact, and hydraulic pressure tests performed on seven precast concrete driven energy piles is presented in this paper. The data is published and made publicly accessible through the open-access database DataverseNO. The dataset involves (a) material properties of all of the materials used in manufacturing the energy piles, (b) raw data files from impact tests, which are recorded by the pile driving analyzer (PDA) device and sensors, (c) the hydraulic pressure test data performed between the impact and bending tests, which includes the raw data of pressure measurements from analogue pressure gauge, and (d) the data from the bending tests which includes the raw and processed data files recorded by the displacement transducers, loadcell and also the raw and processed images for the digital image correlation (DIC) analysis. Firstly, the value of the data for future use is explained in this paper. Secondly, the structure of the data available through the open-access database and the processing methods are described. Lastly, the setup for data measurement is presented for all the tests. The practical applications of this dataset are substantial for civil engineering projects, as it provides essential benchmarks for the design and validation of structural joints for precast concrete driven energy pile foundations. Furthermore, the dataset provides the structural performance details of the joint under impact and bending, serving as a valuable resource for the numerical modeling validations.

Authors

Institutions

Publication Details

Journal
Data in Brief
Published
2024-10-28
DOI
https://doi.org/10.1016/j.dib.2024.111071
Citations
1
Primary Topic
Geotechnical Engineering and Underground Structures
Type
article
Field-Weighted Citation Impact
0.26

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dataset from flexural, impact, and hydraulic pressure tests on driven energy piles

Jukka Haavisto, Habibollah Sadeghi, Anssi Laaksonen, Rao Martand Singh et al.
1 citations
Data in Brief
Geotechnical Engineering and Underground Structures
0.26
article

Dataset from flexural, impact, and hydraulic pressure tests on driven energy piles

Jukka Haavisto, Habibollah Sadeghi, Anssi Laaksonen, Rao Martand Singh, Teemu Tupala
article en
1 citations

Abstract

Data from the flexural, impact, and hydraulic pressure tests performed on seven precast concrete driven energy piles is presented in this paper. The data is published and made publicly accessible through the open-access database DataverseNO. The dataset involves (a) material properties of all of the materials used in manufacturing the energy piles, (b) raw data files from impact tests, which are recorded by the pile driving analyzer (PDA) device and sensors, (c) the hydraulic pressure test data performed between the impact and bending tests, which includes the raw data of pressure measurements from analogue pressure gauge, and (d) the data from the bending tests which includes the raw and processed data files recorded by the displacement transducers, loadcell and also the raw and processed images for the digital image correlation (DIC) analysis. Firstly, the value of the data for future use is explained in this paper. Secondly, the structure of the data available through the open-access database and the processing methods are described. Lastly, the setup for data measurement is presented for all the tests. The practical applications of this dataset are substantial for civil engineering projects, as it provides essential benchmarks for the design and validation of structural joints for precast concrete driven energy pile foundations. Furthermore, the dataset provides the structural performance details of the joint under impact and bending, serving as a valuable resource for the numerical modeling validations.

Data in BriefVol. 57
Tampere University (FI), Norwegian University of Science and Technology (NO), Valmet (Finland) (FI)
Norges Forskningsråd
Affordable and clean energy
Openalex Percentile: Top 44%
Geotechnical Engineering and Underground Structures
0.26
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.