Dataset of Particle Size Distribution of Fine Aggregate sourced from Goain River (Bangladesh) and Dawki River (India) as utilized in a Batch Mixing Plant

doi: 10.4121/50989a7d-2452-4f66-b29a-5b485709328f.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/50989a7d-2452-4f66-b29a-5b485709328f
Datacite citation style:
Uddin, Minhaz; Ahmed, Aziz; Ahmed, Khondaker Sakil (2023): Dataset of Particle Size Distribution of Fine Aggregate sourced from Goain River (Bangladesh) and Dawki River (India) as utilized in a Batch Mixing Plant. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/50989a7d-2452-4f66-b29a-5b485709328f.v1
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Dataset

This data paper presents the Fine Aggregate (FA) Profile of an important river, the Goain in Bangladesh and the Dawki called in the part of India, which is a major source of natural FA for construction activities in Bangladesh. The FA Profiles were analyzed using sieve and Sand Equivalent (SE) Value of Soils and FA tests over a period of more than two years, with samples collected thrice a month from Jaflong, Sylhet, Bangladesh. The sampling method followed standard guidelines, and the sieve analysis test report satisfied size distribution requirements, despite some fluctuations in the test results. The primary focus of this data is to present the scenario of sand availability throughout the years, which will be valuable for researchers, engineers, policymakers, and stakeholders involved in planning and designing construction projects that involve river sand. This data paper provides a comprehensive dataset on the FA Profile of the Goain (Dawki) River, which can be reused in various ways, including developing predictive models, monitoring the effects of climate change, and identifying areas for sustainable sand extraction.


history
  • 2023-09-06 first online, published, posted
publisher
4TU.ResearchData
format
pdf
organizations
Stamford University Bangladesh, Department of Civil Engineering, Dhaka, Bangladesh
University of Wollongong, School of Civil Mining and Environmental and Architectural Engineering, Australia
Military Institute of Science and Technology (MIST), Department of Civil Engineering, Dhaka, Bangladesh

DATA

files (2)