Výsledky vyhledávání - "Alireza Babaeian Amini"

Akademický článek

Mapping Vulnerability of aquifer to saltwater intrusion using fuzzy membership function

Autor: Marjan Moazamnia, Sina Sadeghfam, Alireza Babaeian Amini

Publikováno v: Journal of Hydraulic Structures, Vol 10, Iss 2, Pp 93-105 (2024)

Groundwater is one of the most important sources of drinking, industrial, and agricultural water in arid and semi-arid regions, where the occurrence of droughts, rapid population growth, and the corresponding increase in water demand threaten groundw

Externí odkaz: https://doaj.org/article/fde6a0f3338b40fbb3af606d88967bb2

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Akademický článek

Facile fabrication of next-generation sustainable brick and mortar through geopolymerization of construction debris

Autor: Hamed Rahimpour, Alireza Babaeian Amini, Fatemeh Sharifi, Ahmad Fahmi, Sahar Zinatloo-Ajabshir

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)

Abstract Waste from construction and demolition (also known as CDW) is one of the most harmful environmental issues. This study's primary goal is to produce new mortar and brick materials from recycled concrete powder (RCP) and recycled brick powder

Externí odkaz: https://doaj.org/article/380f1c9ebcc14db88f9af9ca64859d29

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Akademický článek

Experimental-Numerical Assessment of Mechanical Behavior of Laboratory-Made Steel and NiTi Shape Memory Alloy Wire Ropes

Autor: Peyman Narjabadifam, Neda Fazlalipour, Somayeh Mollaei, Mohammad Momeni, Ali Saman Watandoust, Mahdi Chavoshi, Alireza Babaeian Amini, Farshad Karazmay

Publikováno v: Buildings, Vol 14, Iss 6, p 1567 (2024)

The mechanical behaviors of laboratory-fabricated steel and superelastic shape memory alloy (SMA) wire ropes are assessed in this study through a comprehensive approach encompassing both experimental investigations and finite element (FE) numerical s

Externí odkaz: https://doaj.org/article/9c9bb9042be84c20b899ef9e120ef6b5

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Akademický článek

Dam failure peak outflow prediction through GEP-SVM meta models and uncertainty analysis

Autor: Mohammad Nobarinia, Farhoud Kalateh, Vahid Nourani, Alireza Babaeian Amini

Publikováno v: Water Supply, Vol 21, Iss 7, Pp 3387-3401 (2021)

Accurate prediction of a breached dam's peak outflow is a significant factor for flood risk analysis. In this study, the capability of Support Vector Machine and Kernel Extreme Learning Machine as kernel-based approaches and Gene Expression Programmi

Externí odkaz: https://doaj.org/article/8528cb1616744a8b97cab1a231f3cfde

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Akademický článek

Using Hybrid Wavelet-Exponential Smoothing Approach for Streamflow Modeling

Autor: Vahid Nourani, Hessam Najafi, Alireza Babaeian Amini, Hitoshi Tanaka

Publikováno v: Complexity, Vol 2021 (2021)

Considering the three intrinsic components (of autoregressive, seasonality, and error) of streamflow time series, the overall performance of the streamflow modeling tool is associated with the correct estimation of these components. In this study, a

Externí odkaz: https://doaj.org/article/80bc1ab851b74601ad4b53494dc9655d

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Akademický článek

Microbial Surface Treatment of Sand with Sporosarcina pasteurii to Improve the Wind Erosion Resistance in Urmia Lake

Autor: Hooshang Katebi, Ahmad Fahmi, Ahad Ouria, Alireza Babaeian Amini, Hossein Samadi Kafil

Publikováno v: Applied and Environmental Soil Science, Vol 2021 (2021)

Background. In this research, the potential of the microbially induced carbonate precipitation method for the surface treatment of sand samples of Jabal Kandi dunes, located in the adjacency of Urmia Lake in the northwest of Iran, was considered. Met

Externí odkaz: https://doaj.org/article/907aada6553c46039742b63d5fc38bde

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