Results 71 to 80 of about 9,052,072 (152)

Leveraging Machine Learning Regression Algorithms to Predict Mechanical Properties of Evaporitic Rocks From Their Physical Attributes

IEEE Access
Evaluating the geotechnical properties of evaporitic rocks is crucial for infrastructure stability; however, traditional methods are costly and labour-intensive.
Ayham Zaitouny, Hasan Arman, Anusuya Krishnan, Alaa Ahmed, Ahmed Gad   +4 more
doaj   +1 more source

A laboratory study on the durability of limestone wastes in harsh environments for their suitability as aggregate in concrete

Case Studies in Construction Materials
One of the critical environmental issues in the Chegeni area (Lorestan Province, western Iran) is the production of a large volume of limestone wastes during the quarrying operations.
Amin Jamshidi
doaj   +1 more source

Comprehensive study on the Python-based regression machine learning models for prediction of uniaxial compressive strength using multiple parameters in Charnockite rocks

Scientific Reports
The strength of rock under uniaxial compression, commonly known as Uniaxial Compressive Strength (UCS), plays a crucial role in various geomechanical applications such as designing foundations, mining projects, slopes in rocks, tunnel construction, and ...
Sowmya Kochukrishnan, Premalatha Krishnamurthy, Yuvarajan D., Nandagopal Kaliappan   +3 more
doaj   +1 more source

The effect of non-standard loading platen usage on point load index value of rocks

, 2021
The point load index is a simple, fast, and inexpensive method for determining rock strength and can be applied both in the field and in the laboratory.
Altındağ, Raşit, Akbay, Deniz
core   +1 more source

Strength characterization of limestone lithofacies under different moisture states

Scientific Reports
This study characterized the mechanical behaviours of massive fractured (MLS), fossiliferous (FLS), and siliceous (SLS) limestone lithofacies under natural, dry, and saturated conditions.
Ahmed Gad, Hasan Arman, Saffet Yagiz, Osman Abdelghany, Bahaa M. Amin, Alaa Ahmed, Safwan Paramban, Mahmoud Abu Saima   +7 more
doaj   +1 more source

Distribution and risk assessment of microplastic pollution in a rural river system near a wastewater treatment plant, hydro-dam, and river confluence

Scientific Reports
Rivers are the natural drainage system, transporting anthropogenic wastes and pollution, including microplastics (plastic  1; PLIzone = 1.87 and 1.68 for water and sediment samples respectively), with risk categories between Levels I and IV (“minor” to ...
Addrita Haque, Thomas M. Holsen, Abul B. M. Baki   +2 more
doaj   +1 more source

Seasonal variations and risk assessment of microplastic contamination in agricultural soil and associated macroinvertebrates in Egypt

Scientific Reports
Contamination by microplastics (MPs) has the potential to rank among the world’s most significant environmental issues. Despite the fact that MP contamination is a global problem, little is known about the time variation of MPs in agricultural soil and ...
Safa M. El-masry, Azza M. Khedre, Asmaa N. Mustafa   +2 more
doaj   +1 more source

Assessment of metal pollution using enrichment factor (EF) and pollution load index (PLI) in sediments of selected Terengganu rivers, Malaysia

Anthropogenic activities that happen in Terengganu River were contributed to sediment pollution at that area. The sediment pollution occurred when sediment are additional influenced with chemical adsorption between the metals, grain size, and organic ...
Rozidaini Mohd Ghazi,, Siti Hajar Yaacob,, Nurul Liyana Kamarulzaman,, Mohamad Pauzi Zakaria,, Nurul Fazlina Jaafar,, Farah Khaliz Kedri,, Nor Sayzwani Sukri,, Nor Shahida Shafiee @ Ismail,, Siti Amirah Aspin,   +8 more
core  

Utilizing the strength conversion factor in the estimation of uniaxial compressive strength from the point load index

, 2016
The strength conversion factor (k) is the ratio between the uniaxial compressive strength (UCS) and the point load index (PLI). It has been used to estimate the UCS from the PLI since the 1960s. Many researchers have investigated the relationship between
Kaya, Ayberk, Karaman, Kadir
core   +1 more source

Application of pattern search method to power system valve-point economic load dispatch

, 2007
Direct search (DS) methods are evolutionary algorithms used to solve constrained optimization problems. DS methods do not require any information about the gradient of the objective function at hand, while searching for an optimum solution.
AL-Othman, A.K., Sykulski, J.K., Al-Sumait, J.S.   +2 more
core   +1 more source