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Datasets for Electrical Resistivity Tomography HotBENT-Lab experiment
Dataset   Open access

Datasets for Electrical Resistivity Tomography HotBENT-Lab experiment

Hang Chen, Chunwei Chou, Luca Peruzzo, Sharon Borglin, Chun Chang, Toshiyuki Bandai, Timothy Kneafsey, Seiji Nakagawa, Jens Birkholzer, Liange Zheng, …
Zenodo
11/19/2024
DOI: 10.5281/zenodo.14188022
url
https://doi.org/10.5281/zenodo.14188022View
Open Access

Abstract

The dataset comprises Electrical Resistivity Tomography (ERT) data from the HotBENT-Lab experiments, which are aimed at understanding moisture dynamics and related swelling effects in bentonite under thermal-hydrological-mechanical-chemical (THMC) conditions. These experiments simulate environmental conditions similar to those in geological repositories for high-level radioactive waste. calibration.csv: This file contains ERT data collected from HotBENT-Lab 2, which was designed to closely mimic field conditions by using a higher dry density (1.45 g/cm³) and reduced initial water content (5.3%). The dataset includes detailed electrical conductivity measurements over time and across the experimental columns, which were used to estimate water content and track changes due to swelling effects. c1c2_midtc_data.csv: This file contains ERT data from HotBENT-Lab 1, which serves as a foundational experiment with a lower dry density (1.2 g/cm³) and higher initial water content (18%). This dataset captures early-stage moisture distribution and temperature effects, allowing for comparative analysis of swelling and conductivity changes. Both datasets are integral for validating the multi-scale ERT-based framework used to estimate moisture dynamics and assess the scalability of petrophysical models in controlled laboratory conditions.

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