<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
				<PublisherName>Amirkabir University of Technology</PublisherName>
				<JournalTitle>Amirkabir Journal of Civil Engineering</JournalTitle>
				<Issn>2588-297X</Issn>
				<Volume>56</Volume>
				<Issue>5</Issue>
				<PubDate PubStatus="epublish">
					<Year>2024</Year>
					<Month>07</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Laboratory investigation of the effect of plastic packaging belt fibers and iron oxide on the mechanical properties of self-compacting concrete</ArticleTitle>
<VernacularTitle>Laboratory investigation of the effect of plastic packaging belt fibers and iron oxide on the mechanical properties of self-compacting concrete</VernacularTitle>
			<FirstPage>517</FirstPage>
			<LastPage>550</LastPage>
			<ELocationID EIdType="pii">5409</ELocationID>
			
<ELocationID EIdType="doi">10.22060/ceej.2024.23070.8099</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Amir Hossein</FirstName>
					<LastName>Derakhshan Nezhad</LastName>
<Affiliation>Master&amp;#039;s student in Civil-Structural Engineering, Technical and Engineering Faculty, Behbahan Khatam Alanbia University of Technology, Behbahan, Iran.</Affiliation>
<Identifier Source="ORCID">0009-0008-0994-8590</Identifier>

</Author>
<Author>
					<FirstName>Mahbobeh</FirstName>
					<LastName>Mirzaie Aliabadi</LastName>
<Affiliation>Assistant Professor, Technical and Engineering Faculty, Behbahan Khatam Alanbia University of Technology, Behbahan, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Mohammad Sadegh</FirstName>
					<LastName>Shahidzadeh</LastName>
<Affiliation>Assistant Professor, Technical and Engineering Faculty, Behbahan Khatam Alanbia University of Technology, Behbahan, Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2024</Year>
					<Month>03</Month>
					<Day>20</Day>
				</PubDate>
			</History>
		<Abstract>&lt;span style=&quot;letter-spacing: .05pt;&quot;&gt;Self-compacting concrete is one of the newest types of concrete due to its durability, efficiency, viscosity, stability, flowability, and resistance. Nowadays, one of the most important concerns in the environment is solid waste disposal. Plastic packaging belts are one of the plastic materials that are thrown away after use and are known as waste, also iron smelting factories are the main source of iron oxide waste production. This research is based on the idea of using plastic packing belts and iron oxide waste in the design of self-compacting concrete mix with different percentages (0, 0.5, 1, 1.5, 2 percent compared to the weight of cement) and ( 0, 5, 10, 15, 20% relative to the weight of sand) was added as an additive. For fresh and hardened properties of self-compacting concrete tests with and without fibers and iron oxide, slump flow tests, V funnel, L box, J ring, U box and compressive strength, tensile strength, ultrasonic pulse speed, Schmidt hammer, temperature effect They were evaluated on compressive strength and permeability. The results of the tests showed that with the increase in the percentage of fibers and iron oxide waste in self-compacting concrete for cubic samples, respectively, the compressive strength, ultrasonic pulse speed, Schmidt hammer and the effect of temperature on the 1-day compressive strength in 28-day processing from the range of 1.61% - 72.57%, 10% - 57.5%, 3.27% - 9.27% and 5.22 – 20.64% increased compared to self-compacting concrete (control) and also the tensile strength of cylindrical samples in 28 days processing. It increased from the range of 21.09%-72.57% compared to self-density (control).&lt;/span&gt;</Abstract>
			<OtherAbstract Language="FA">&lt;span style=&quot;letter-spacing: .05pt;&quot;&gt;Self-compacting concrete is one of the newest types of concrete due to its durability, efficiency, viscosity, stability, flowability, and resistance. Nowadays, one of the most important concerns in the environment is solid waste disposal. Plastic packaging belts are one of the plastic materials that are thrown away after use and are known as waste, also iron smelting factories are the main source of iron oxide waste production. This research is based on the idea of using plastic packing belts and iron oxide waste in the design of self-compacting concrete mix with different percentages (0, 0.5, 1, 1.5, 2 percent compared to the weight of cement) and ( 0, 5, 10, 15, 20% relative to the weight of sand) was added as an additive. For fresh and hardened properties of self-compacting concrete tests with and without fibers and iron oxide, slump flow tests, V funnel, L box, J ring, U box and compressive strength, tensile strength, ultrasonic pulse speed, Schmidt hammer, temperature effect They were evaluated on compressive strength and permeability. The results of the tests showed that with the increase in the percentage of fibers and iron oxide waste in self-compacting concrete for cubic samples, respectively, the compressive strength, ultrasonic pulse speed, Schmidt hammer and the effect of temperature on the 1-day compressive strength in 28-day processing from the range of 1.61% - 72.57%, 10% - 57.5%, 3.27% - 9.27% and 5.22 – 20.64% increased compared to self-compacting concrete (control) and also the tensile strength of cylindrical samples in 28 days processing. It increased from the range of 21.09%-72.57% compared to self-density (control).&lt;/span&gt;</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Self-Compacting Concrete</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">iron oxide</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">plastic belt fibers</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Compressive Strength</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Tensile Strength</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ceej.aut.ac.ir/article_5409_0ec7871afff20c4c9e8be8e6380d197b.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Amirkabir University of Technology</PublisherName>
				<JournalTitle>Amirkabir Journal of Civil Engineering</JournalTitle>
				<Issn>2588-297X</Issn>
				<Volume>56</Volume>
				<Issue>5</Issue>
				<PubDate PubStatus="epublish">
					<Year>2024</Year>
					<Month>07</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>An Experimental Analysis of the Impact of the Transverse Distance of Cubic Obstacles on the Hydraulic Characteristics of Transverse Waves in Staggered Arrangements</ArticleTitle>
<VernacularTitle>An Experimental Analysis of the Impact of the Transverse Distance of Cubic Obstacles on the Hydraulic Characteristics of Transverse Waves in Staggered Arrangements</VernacularTitle>
			<FirstPage>551</FirstPage>
			<LastPage>568</LastPage>
			<ELocationID EIdType="pii">5410</ELocationID>
			
<ELocationID EIdType="doi">10.22060/ceej.2024.22137.7913</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Kimiya</FirstName>
					<LastName>Kamaei</LastName>
<Affiliation>Department of Water Structures, Faculty of Water and Environmental Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Mehdi</FirstName>
					<LastName>Ghomeshi</LastName>
<Affiliation>Department of Water Structures, Faculty of Water and Environmental Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran</Affiliation>
<Identifier Source="ORCID">0000-0002-8361-1645</Identifier>

</Author>
<Author>
					<FirstName>Mehdi</FirstName>
					<LastName>Daryaee</LastName>
<Affiliation>Department of Water Structures, Faculty of Water and Environmental Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Seyed Mahmoud</FirstName>
					<LastName>Kashefipour</LastName>
<Affiliation>Department of Water Structures, Faculty of Water and Environmental Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2023</Year>
					<Month>01</Month>
					<Day>29</Day>
				</PubDate>
			</History>
		<Abstract>Transverse waves are formed by obstacles such as vegetation, bridge piers, and docks in the flow path. the present study investigated the effect of the transversal distance of cubic obstacles on the hydraulic characterization of transverse waves with four-wave modes in resonance. The obstacles were arranged staggered at two transversal distances and a constant longitudinal distance. All experiments were performed in a flume with a length of 16 m, a width of 1.25 m, and a height of 0.6 m. The flow discharge was varied between 30 and 38 lit/s in the experiments. The results showed that the flow regime was turbulent and sub-critical in experiments. In resonance, the Obstacle Reynolds Number and Froude Number were within the range of 2319&lt;&lt;em&gt;Re&lt;/em&gt;&lt;5627 and 0.055&lt;&lt;em&gt;Fr&lt;/em&gt;&lt;0.210 respectively. In resonance, the relative amplitude of the wave increases by increasing the transversal distance of obstacles (decreasing the density of obstacles), and the highest relative amplitude of 33% was obtained for &lt;em&gt;T/D&lt;/em&gt;=9.6, wave mode IV, and &lt;em&gt;Q&lt;/em&gt;=30 lit/s. With the increase in discharge, the relative amplitude of the wave in each transversal distance and all four wave modes decreased.</Abstract>
			<OtherAbstract Language="FA">Transverse waves are formed by obstacles such as vegetation, bridge piers, and docks in the flow path. the present study investigated the effect of the transversal distance of cubic obstacles on the hydraulic characterization of transverse waves with four-wave modes in resonance. The obstacles were arranged staggered at two transversal distances and a constant longitudinal distance. All experiments were performed in a flume with a length of 16 m, a width of 1.25 m, and a height of 0.6 m. The flow discharge was varied between 30 and 38 lit/s in the experiments. The results showed that the flow regime was turbulent and sub-critical in experiments. In resonance, the Obstacle Reynolds Number and Froude Number were within the range of 2319&lt;&lt;em&gt;Re&lt;/em&gt;&lt;5627 and 0.055&lt;&lt;em&gt;Fr&lt;/em&gt;&lt;0.210 respectively. In resonance, the relative amplitude of the wave increases by increasing the transversal distance of obstacles (decreasing the density of obstacles), and the highest relative amplitude of 33% was obtained for &lt;em&gt;T/D&lt;/em&gt;=9.6, wave mode IV, and &lt;em&gt;Q&lt;/em&gt;=30 lit/s. With the increase in discharge, the relative amplitude of the wave in each transversal distance and all four wave modes decreased.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Transverse waves</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Cubic obstacles</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Transversal distance</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Staggered arrangement</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Strouhal Number</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ceej.aut.ac.ir/article_5410_a36ad7be52d47b37a1ca400db1d4d9ad.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Amirkabir University of Technology</PublisherName>
				<JournalTitle>Amirkabir Journal of Civil Engineering</JournalTitle>
				<Issn>2588-297X</Issn>
				<Volume>56</Volume>
				<Issue>5</Issue>
				<PubDate PubStatus="epublish">
					<Year>2024</Year>
					<Month>07</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Evaluating the Capacity of the Multi-Plate Mechanical Anchors in Granular Soils</ArticleTitle>
<VernacularTitle>Evaluating the Capacity of the Multi-Plate Mechanical Anchors in Granular Soils</VernacularTitle>
			<FirstPage>569</FirstPage>
			<LastPage>588</LastPage>
			<ELocationID EIdType="pii">5420</ELocationID>
			
<ELocationID EIdType="doi">10.22060/ceej.2024.22361.7958</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Hamid Reza</FirstName>
					<LastName>Mohammadkhanifard</LastName>
<Affiliation>B.Sc., M.Sc., Department of Civil Engineering, Faculty of Civil Engineering and Earth Resources, Islamic Azad University, Central Tehran Branch, Tehran, Iran,</Affiliation>

</Author>
<Author>
					<FirstName>Amir Ali</FirstName>
					<LastName>Zad</LastName>
<Affiliation>Department of Civil Engineering, , Islamic Azad University, Central Tehran Branch</Affiliation>

</Author>
<Author>
					<FirstName>Mahsa</FirstName>
					<LastName>Amjadi</LastName>
<Affiliation>B.Sc., M.Sc., Department of Civil Engineering, Faculty of Civil Engineering and Earth Resources, Islamic Azad University, Central Tehran Branch, Tehran, Iran,</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2023</Year>
					<Month>04</Month>
					<Day>28</Day>
				</PubDate>
			</History>
		<Abstract>Nowadays, humans have thought of creating structures and platforms onshore and offshore to provide energy. Until now, various anchors with different shapes have been introduced for strength and stability of platforms, for offshore and onshore applications. In this research, a new type of expendable multi-plate anchors is proposed with the ability to expand the plates in the soil with lower energy. As these anchors are recently introduced, their bearing capacity has not been extensively evaluated. In this research, the behavior of these anchors was investigated experimentally. The evaluated parameters are soil compaction and distance between plates on the maximum pull-out capacity of them. Firstly the performance of single plate anchors was compared with the double plate anchors with equivalent areas then the effect of above mentioned parameters was determined for double plate anchors Based on the experimental results, single-plate shows higher bearing capacity in high soil compaction, but in low soil compaction, the bearing capacity of the double plate capacity is increased. The effect of the distance between the plates on the final bearing capacity has been far greater than the effect of the change in soil density. Also, 4 different soil compaction and distance between two plates for a double plate were investigated. Overall the effects of distance between two plates have more impact on bearing capacity in comparison to soil compaction</Abstract>
			<OtherAbstract Language="FA">Nowadays, humans have thought of creating structures and platforms onshore and offshore to provide energy. Until now, various anchors with different shapes have been introduced for strength and stability of platforms, for offshore and onshore applications. In this research, a new type of expendable multi-plate anchors is proposed with the ability to expand the plates in the soil with lower energy. As these anchors are recently introduced, their bearing capacity has not been extensively evaluated. In this research, the behavior of these anchors was investigated experimentally. The evaluated parameters are soil compaction and distance between plates on the maximum pull-out capacity of them. Firstly the performance of single plate anchors was compared with the double plate anchors with equivalent areas then the effect of above mentioned parameters was determined for double plate anchors Based on the experimental results, single-plate shows higher bearing capacity in high soil compaction, but in low soil compaction, the bearing capacity of the double plate capacity is increased. The effect of the distance between the plates on the final bearing capacity has been far greater than the effect of the change in soil density. Also, 4 different soil compaction and distance between two plates for a double plate were investigated. Overall the effects of distance between two plates have more impact on bearing capacity in comparison to soil compaction</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Multi-Plate Mechanical Anchor</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Onshore and Offshore, Expandable Plate Anchors. Soil Compaction</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ceej.aut.ac.ir/article_5420_afcd7211d1a05d729c13b28efbc8e45b.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Amirkabir University of Technology</PublisherName>
				<JournalTitle>Amirkabir Journal of Civil Engineering</JournalTitle>
				<Issn>2588-297X</Issn>
				<Volume>56</Volume>
				<Issue>5</Issue>
				<PubDate PubStatus="epublish">
					<Year>2024</Year>
					<Month>07</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Dimension reduction of the remote sensing data to estimate soil organic carbon</ArticleTitle>
<VernacularTitle>Dimension reduction of the remote sensing data to estimate soil organic carbon</VernacularTitle>
			<FirstPage>589</FirstPage>
			<LastPage>606</LastPage>
			<ELocationID EIdType="pii">5434</ELocationID>
			
<ELocationID EIdType="doi">10.22060/ceej.2024.22053.7890</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Niusha</FirstName>
					<LastName>Mozafari</LastName>
<Affiliation>Department of Geodesy and Surveying Engineering, Tafresh University, Tafresh, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Hadiseh Sadat</FirstName>
					<LastName>Hasani</LastName>
<Affiliation>Department of Geodesy and Surveying Engineering, Tafresh University, Tafresh, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Marzieh</FirstName>
					<LastName>Jafari</LastName>
<Affiliation>Department of Geodesy and Surveying Engineering, Tafresh University, Tafresh, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2022</Year>
					<Month>12</Month>
					<Day>25</Day>
				</PubDate>
			</History>
		<Abstract>&lt;span lang=&quot;EN-GB&quot;&gt;Soil is a very complex phenomenon that includes organic materials, minerals, water, and air. The distribution of organic matter in the soil has a profound effect on biological activity, nutrient availability, soil and soil seed structure, and water holding capacity, and soil management in general. In this research, the relation between soil spectral reflectance using the Landsat 8 satellite data as well as the SRTM Elevation data and soil organic carbon has been investigated. In the proposed method, spectral reflection of data in the main bands of the Landsat 8 satellite is investigated and processed. In addition to the main bands, vegetation and lighting indices, and topographic features have been studied. In this study, a method for selecting effective indexes in increasing the accuracy of soil organic carbon modeling is presented. For this purpose, in the first step of modeling, Linear regression, Support Vector Machine regression, and Neural Network methods have been used for the connection between remote sensing data and soil organic carbon. To implement the proposed method, 100 soil samples in East Azerbaijan province have been used. According to RMSE and R2 statistical indices, which are the basis for evaluating the models, the neural network model was selected as the final model, and with the values of RMSE = 0.404, R2= 0.254, and RRMSE=46.597 is more accurate than the regression method. Due to the importance of dimensionality to increase accuracy and reduce the complexity of calculations, a genetic algorithm was proposed in this study. This efficient algorithm increases the accuracy of soil organic carbon modeling and eliminates additional indicators. After applying the genetic algorithm (GA) to the neural network model, we were able to achieve better accuracy, and the values of the baseline statistical indices were changed to RMSE = 0.279, R2 = 0.718, and RRMSE=27.116. Also, to check the efficiency of the genetic algorithm, the PCA algorithm was also implemented on the data and the comparison results showed that the genetic algorithm was successful in reducing dimensions along with increasing accuracy.&lt;/span&gt;</Abstract>
			<OtherAbstract Language="FA">&lt;span lang=&quot;EN-GB&quot;&gt;Soil is a very complex phenomenon that includes organic materials, minerals, water, and air. The distribution of organic matter in the soil has a profound effect on biological activity, nutrient availability, soil and soil seed structure, and water holding capacity, and soil management in general. In this research, the relation between soil spectral reflectance using the Landsat 8 satellite data as well as the SRTM Elevation data and soil organic carbon has been investigated. In the proposed method, spectral reflection of data in the main bands of the Landsat 8 satellite is investigated and processed. In addition to the main bands, vegetation and lighting indices, and topographic features have been studied. In this study, a method for selecting effective indexes in increasing the accuracy of soil organic carbon modeling is presented. For this purpose, in the first step of modeling, Linear regression, Support Vector Machine regression, and Neural Network methods have been used for the connection between remote sensing data and soil organic carbon. To implement the proposed method, 100 soil samples in East Azerbaijan province have been used. According to RMSE and R2 statistical indices, which are the basis for evaluating the models, the neural network model was selected as the final model, and with the values of RMSE = 0.404, R2= 0.254, and RRMSE=46.597 is more accurate than the regression method. Due to the importance of dimensionality to increase accuracy and reduce the complexity of calculations, a genetic algorithm was proposed in this study. This efficient algorithm increases the accuracy of soil organic carbon modeling and eliminates additional indicators. After applying the genetic algorithm (GA) to the neural network model, we were able to achieve better accuracy, and the values of the baseline statistical indices were changed to RMSE = 0.279, R2 = 0.718, and RRMSE=27.116. Also, to check the efficiency of the genetic algorithm, the PCA algorithm was also implemented on the data and the comparison results showed that the genetic algorithm was successful in reducing dimensions along with increasing accuracy.&lt;/span&gt;</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Remote Sensing</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Soil Organic Carbon</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Neural Network</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Dimension Reduction</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">genetic algorithm</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ceej.aut.ac.ir/article_5434_0fe3094d8b20b823420cc3ee78c9e0b1.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Amirkabir University of Technology</PublisherName>
				<JournalTitle>Amirkabir Journal of Civil Engineering</JournalTitle>
				<Issn>2588-297X</Issn>
				<Volume>56</Volume>
				<Issue>5</Issue>
				<PubDate PubStatus="epublish">
					<Year>2024</Year>
					<Month>07</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Flowsheet development for low-grade manganese ores by physical and physicochemical methods</ArticleTitle>
<VernacularTitle>Flowsheet development for low-grade manganese ores by physical and physicochemical methods</VernacularTitle>
			<FirstPage>607</FirstPage>
			<LastPage>628</LastPage>
			<ELocationID EIdType="pii">5435</ELocationID>
			
<ELocationID EIdType="doi">10.22060/ceej.2024.22479.7979</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Shima</FirstName>
					<LastName>Rahimi</LastName>
<Affiliation>Amirkabir University of Technology, Department of Mining Engineering, Tehran, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Mehdi</FirstName>
					<LastName>Irannajad</LastName>
<Affiliation>Amirkabir University of Technology</Affiliation>

</Author>
<Author>
					<FirstName>Akbar</FirstName>
					<LastName>Mehdilo</LastName>
<Affiliation>Faculty of Engineering
University of Mohaghegh  Ardabili
Ardabil
Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2023</Year>
					<Month>06</Month>
					<Day>12</Day>
				</PubDate>
			</History>
		<Abstract>&lt;span style=&quot;letter-spacing: .05pt;&quot;&gt;In this research, to achieve an appropriate flowsheet for the processing of low-grade manganese ore, some kinds of beneficiation methods have been investigated and compared. The used ore sample contains an average grade of 13.8% MnO. The valuable mineral containing manganese is pyrolusite, and calcite is the main gangue mineral in the ore. Gravity (jigging and tabling), high-intensity magnetic, and flotation (cationic and anionic) methods were examined in this study. Among the applied methods, cationic flotation has the highest manganese recovery in the concentrate (77.4%) with a selectivity index of 2.34. The highest grade of MnO in the concentrate is 52.6% with a selectivity index of 4.10, which is obtained using high-intensity wet magnetic separation. The highest separation efficiency (almost 54.2%) is also achieved by this method. For developing a suitable flowsheet, the combination of various methods including gravity-flotation (cationic and anionic), gravity-magnetic, and gravity-gravity was examined. Among the combined methods, the combination of tabling and cationic flotation methods has resulted in a concentrate containing 39.9% MnO with an acceptable recovery of 71.5%, which seems a more suitable flowsheet for development on the industrial scale.&lt;/span&gt;</Abstract>
			<OtherAbstract Language="FA">&lt;span style=&quot;letter-spacing: .05pt;&quot;&gt;In this research, to achieve an appropriate flowsheet for the processing of low-grade manganese ore, some kinds of beneficiation methods have been investigated and compared. The used ore sample contains an average grade of 13.8% MnO. The valuable mineral containing manganese is pyrolusite, and calcite is the main gangue mineral in the ore. Gravity (jigging and tabling), high-intensity magnetic, and flotation (cationic and anionic) methods were examined in this study. Among the applied methods, cationic flotation has the highest manganese recovery in the concentrate (77.4%) with a selectivity index of 2.34. The highest grade of MnO in the concentrate is 52.6% with a selectivity index of 4.10, which is obtained using high-intensity wet magnetic separation. The highest separation efficiency (almost 54.2%) is also achieved by this method. For developing a suitable flowsheet, the combination of various methods including gravity-flotation (cationic and anionic), gravity-magnetic, and gravity-gravity was examined. Among the combined methods, the combination of tabling and cationic flotation methods has resulted in a concentrate containing 39.9% MnO with an acceptable recovery of 71.5%, which seems a more suitable flowsheet for development on the industrial scale.&lt;/span&gt;</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Manganese</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Pyrolusite</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Beneficiation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Flowsheet</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Gravity separation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Magnetic separation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Flotation</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ceej.aut.ac.ir/article_5435_18cef2ff7b8efa2d2a44bbfb5b244ce8.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Amirkabir University of Technology</PublisherName>
				<JournalTitle>Amirkabir Journal of Civil Engineering</JournalTitle>
				<Issn>2588-297X</Issn>
				<Volume>56</Volume>
				<Issue>5</Issue>
				<PubDate PubStatus="epublish">
					<Year>2024</Year>
					<Month>07</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Numerical modeling and analysis of the effect of surface groundwater flow and natural convection on the heat exchange of energy pile</ArticleTitle>
<VernacularTitle>Numerical modeling and analysis of the effect of surface groundwater flow and natural convection on the heat exchange of energy pile</VernacularTitle>
			<FirstPage>629</FirstPage>
			<LastPage>650</LastPage>
			<ELocationID EIdType="pii">5441</ELocationID>
			
<ELocationID EIdType="doi">10.22060/ceej.2024.23014.8089</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Makan</FirstName>
					<LastName>Fattahian</LastName>
<Affiliation>MSc, Geotechnical Group, Civil Engineering Faculty, Tarbiat Modares University, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Mohammad Hosain</FirstName>
					<LastName>Sobhdam</LastName>
<Affiliation>Professor, Geotechnical Group, Civil Engineering Faculty, Sharif University of Technology, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Mohammad Mehdi</FirstName>
					<LastName>Ahmadi</LastName>
<Affiliation>Professor, Geotechnical Group, Civil Engineering Faculty, Sharif University of Technology, Tehran, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2024</Year>
					<Month>02</Month>
					<Day>22</Day>
				</PubDate>
			</History>
		<Abstract>The use of renewable energy, particularly shallow geothermal energy, for heating and cooling various spaces during both hot and cold seasons has received considerable attention. Therefore, investigating the natural factors affecting the efficiency of this system, especially the groundwater flow, is of particular importance. The presence of groundwater flow significantly increases the efficiency of shallow geothermal systems. It has been found that the existence of groundwater flow significantly improves the efficiency of the shallow geothermal energy system. However, the assessment of system efficiency under the influence of groundwater flow is often subjected to error and has been inadequately addressed in the literature. In this study, an energy pile was modeled for a period of 90 days using COMSOL Multiphysics software and the finite element method, taking into account surface groundwater flow. The modeling assumes constant soil and inlet fluid temperature. The analysis was carried out for heating and cooling scenarios with various U-shaped pipe existence of groundwater flow. The results indicate that the presence of surface groundwater flow due to natural convection, independent of soil temperature, leads to a significant reduction in system performance.</Abstract>
			<OtherAbstract Language="FA">The use of renewable energy, particularly shallow geothermal energy, for heating and cooling various spaces during both hot and cold seasons has received considerable attention. Therefore, investigating the natural factors affecting the efficiency of this system, especially the groundwater flow, is of particular importance. The presence of groundwater flow significantly increases the efficiency of shallow geothermal systems. It has been found that the existence of groundwater flow significantly improves the efficiency of the shallow geothermal energy system. However, the assessment of system efficiency under the influence of groundwater flow is often subjected to error and has been inadequately addressed in the literature. In this study, an energy pile was modeled for a period of 90 days using COMSOL Multiphysics software and the finite element method, taking into account surface groundwater flow. The modeling assumes constant soil and inlet fluid temperature. The analysis was carried out for heating and cooling scenarios with various U-shaped pipe existence of groundwater flow. The results indicate that the presence of surface groundwater flow due to natural convection, independent of soil temperature, leads to a significant reduction in system performance.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Geothermal Energy - Energy Pile</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Groundwater Flow - Numerical Modeling</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Natural convection</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ceej.aut.ac.ir/article_5441_b40077b6e7c0a8516d57085f5073610e.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
