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<Article>
<Journal>
				<PublisherName>Society Of Marine Science and Technology</PublisherName>
				<JournalTitle>International Journal Of Coastal, Offshore And Environmental Engineering(ijcoe)</JournalTitle>
				<Issn>2980-8731</Issn>
				<Volume>11</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>06</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Experimental study of gas flow regime criteria in underwater gas-saturated liquid blowouts</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>1</FirstPage>
			<LastPage>16</LastPage>
			<ELocationID EIdType="pii">248419</ELocationID>
			
<ELocationID EIdType="doi">10.22034/ijcoe.2026.586849.1247</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Maryam</FirstName>
					<LastName>Bafandeh</LastName>
<Affiliation>Department of Physical Oceanography, Tehran Science and Research Branch, Islamic Azad University, Tehran, Iran</Affiliation>
<Identifier Source="ORCID">0009-0008-3922-194X</Identifier>

</Author>
<Author>
					<FirstName>Abbas Ali Ali Akbar</FirstName>
					<LastName>Bidokhti</LastName>
<Affiliation>Institute of Geophysics, University of Tehran, Tehran, Iran</Affiliation>
<Identifier Source="ORCID">0000-0003-4841-2218</Identifier>

</Author>
<Author>
					<FirstName>Mojtaba</FirstName>
					<LastName>Ezam</LastName>
<Affiliation>Department of Physical Oceanography, Tehran Science and Research Branch, Islamic Azad University, Tehran, Iran</Affiliation>
<Identifier Source="ORCID">0000-0002-1627-5741</Identifier>

</Author>
<Author>
					<FirstName>Majid</FirstName>
					<LastName>Ghodsi Hasanabad</LastName>
<Affiliation>Department of Mechanical Engineering, Tehran Science and Research Branch, Islamic Azad University, Tehran, Iran</Affiliation>
<Identifier Source="ORCID">0000-0002-1683-0020</Identifier>

</Author>
<Author>
					<FirstName>Sara</FirstName>
					<LastName>Allahyari Beyk</LastName>
<Affiliation>Department of Physical Oceanography, Tehran Science and Research Branch, Islamic Azad University, Tehran, Iran</Affiliation>
<Identifier Source="ORCID">0000-0002-5911-5502</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2026</Year>
					<Month>01</Month>
					<Day>12</Day>
				</PubDate>
			</History>
		<Abstract>In a series of laboratory experiments, CO2-saturated freshwater at different volumetric gas to liquid ratios (GLR) and different flow momentums was injected at the bottom of square cross-section open-top basins filled with homogeneous saltwater as well as stratified saltwater. Flow visualization of the experiments and comparison of different criteria for discerning the gas flow regimes showed that Wallis (1969) critical velocity criterion and Payne and Prince (1975) modified Froude number criterion are more suitable to distinguish the gas flow regimes in gas-saturated liquid blowouts. The other evaluated criteria of modified Froude number, Reynolds number, and modified Weber number, overestimate the ratio of inertia and bubble destructive forces to breakup resisting forces in gas-saturated liquid blowouts. It seems that off-source rapid formation of a huge number concentration of minute bubbles in the zone of flow establishment and momentum-driven region decreases the inertia and bubble destructive forces in gas-saturated liquid blowouts when compared to bubbly jets of similar GLR and flow rates.</Abstract>
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			<Param Name="value">Multiphase Flow</Param>
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			<Param Name="value">Underwater Blowout</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Oil and Gas blowout</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Underwater Waste Disposal</Param>
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</Article>

<Article>
<Journal>
				<PublisherName>Society Of Marine Science and Technology</PublisherName>
				<JournalTitle>International Journal Of Coastal, Offshore And Environmental Engineering(ijcoe)</JournalTitle>
				<Issn>2980-8731</Issn>
				<Volume>11</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>06</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Changes of Physical Parameters of the Water Column from the Indian ‎Ocean to the Persian Gulf</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>17</FirstPage>
			<LastPage>33</LastPage>
			<ELocationID EIdType="pii">248486</ELocationID>
			
<ELocationID EIdType="doi">10.22034/ijcoe.2026.517485.1164</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Mahyar</FirstName>
					<LastName>Majidi Nik</LastName>
<Affiliation>Researcher of the Department of Environmental Geography Studies, Madde ‎Danesh Studies Center. ‎</Affiliation>
<Identifier Source="ORCID">0000-0003-4062-1779</Identifier>

</Author>
<Author>
					<FirstName>Parvaneh</FirstName>
					<LastName>Sobhani</LastName>
<Affiliation>Assistant Professor, Department of Environment, Faculty of Natural Resources, Lorestan University, Khorramabad, Iran</Affiliation>
<Identifier Source="ORCID">0000-0001-9878-3768</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2026</Year>
					<Month>01</Month>
					<Day>29</Day>
				</PubDate>
			</History>
		<Abstract>A comprehensive and complete understanding of how physical ‎parameters and sound wave propagation change in different places and ‎times is essential and inevitable. The present study examined and ‎evaluated vertical and horizontal changes in temperature, salinity, and ‎sound velocity parameters in the seas surrounding the country&#039;s south, ‎including the Persian Gulf, the Strait of Hormuz, the Sea of Oman, and ‎the northern Indian Ocean. The physical parameters of the water column ‎in the two cold and warm seasons of the region have been monitored and ‎analyzed at selected stations in the aforementioned seas from the surface ‎to the bed using the international data of the World Ocean Atlas 2018. ‎The results of the studies indicate the existence of a permanent ‎thermocline layer in the deep regions of the Oman Sea and the northern ‎Indian Ocean, due to which the propagation of sound waves is reduced ‎by more than 30 units. In the Persian Gulf and the Strait of Hormuz, due ‎to the shallowness of the region, the thermocline layer is created only in ‎the warm season of the region, and as a result, a weak sound channel is ‎formed at depths near the bed. It should be noted that in all the studied ‎regions, the propagation speed of sound waves is strongly dependent on ‎the temperature parameter and its resulting changes in the water column ‎are similar to vertical temperature changes. Also, two-dimensional ‎sections indicate the penetration of salty waters of the Persian Gulf into ‎the Oman Sea in layers near the bed throughout the year.‎</Abstract>
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			<Param Name="value">Persian Gulf</Param>
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			<Param Name="value">Strait of Hormuz</Param>
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			<Param Name="value">&amp;lrm</Param>
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<ArchiveCopySource DocType="pdf">https://www.ijcoe.org/article_248486_9ce081f9adcb45bdb80c7fb50a46c9c0.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Society Of Marine Science and Technology</PublisherName>
				<JournalTitle>International Journal Of Coastal, Offshore And Environmental Engineering(ijcoe)</JournalTitle>
				<Issn>2980-8731</Issn>
				<Volume>11</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>06</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Hybrid Intelligence for Coastal Pattern Recognition: ANFIS-Based Prediction of Multi-Level Beach Cusp Spacing</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>34</FirstPage>
			<LastPage>47</LastPage>
			<ELocationID EIdType="pii">237125</ELocationID>
			
<ELocationID EIdType="doi">10.22034/ijcoe.2025.523922.1171</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Azadeh</FirstName>
					<LastName>Valipour</LastName>
<Affiliation>Department of Marine Science and Technology, Jouybar Branch, Islamic Azad University, Jouybar, Iran</Affiliation>
<Identifier Source="ORCID">0000-0003-4345-0928</Identifier>

</Author>
<Author>
					<FirstName>Hossein</FirstName>
					<LastName>Shirgahi</LastName>
<Affiliation>Department of Computer Engineering, Jouybar Branch, Islamic Azad University, Jouybar, Iran</Affiliation>
<Identifier Source="ORCID">0000-0001-9034-3549</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2026</Year>
					<Month>02</Month>
					<Day>24</Day>
				</PubDate>
			</History>
		<Abstract>Given the necessity of understanding coastal dynamics and predicting erosion in coastal areas, this research employs the Adaptive Neuro-Fuzzy Inference System as a machine learning model for predicting beach cusp spacing and subsequently optimizing coastal management. ANFIS has the advantage over other techniques to model the more complex nonlinear relationships involved in beach cusp formation. It learns from existing data, adapts to new information varying with coastal hydrodynamic conditions, and gives back to the user interpretability by showing underlying rules dictating cusp dynamics. This paper discusses implementing ANFIS to predict beach cusp spacing and examines its performance against a neural network. In this way, different ANFIS configurations were tested, and the effect of membership functions on the performance of the fuzzy system was investigated. The main outcomes of this research indicate that even though optimized Artificial Neural Network (ANN) models perform reasonably well for the upper beach face, the optimized ANFIS (trimf) model performs better in accuracy and stability for the middle and lower beach faces. This study effectively highlights the importance of selecting the optimal model tailored to each beach section&#039;s specific conditions and characteristics.</Abstract>
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			<Param Name="value">adaptive neuro-fuzzy inference system</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Machine Learning</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Coastal management</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Membership Functions</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Neural Network</Param>
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</Article>

<Article>
<Journal>
				<PublisherName>Society Of Marine Science and Technology</PublisherName>
				<JournalTitle>International Journal Of Coastal, Offshore And Environmental Engineering(ijcoe)</JournalTitle>
				<Issn>2980-8731</Issn>
				<Volume>11</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>06</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Numerical simulation of bottom outlet valve openings and reverse slope transition to control downstream pressure drop in pipeline of effluent discharge to sea</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>48</FirstPage>
			<LastPage>55</LastPage>
			<ELocationID EIdType="pii">248487</ELocationID>
			
<ELocationID EIdType="doi">10.22034/ijcoe.2026.587384.1249</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Saeed</FirstName>
					<LastName>Madadyari</LastName>
<Affiliation>Department of Civil Engineering, Na.C., Islamic Azad University, Najafabad, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Mehdi</FirstName>
					<LastName>Nezhadnaderi</LastName>
<Affiliation>Department of Civil Engineering, To.C., Islamic Azad University, Tonekabon, Iran.</Affiliation>
<Identifier Source="ORCID">0000-0003-1160-358X</Identifier>

</Author>
<Author>
					<FirstName>Babak</FirstName>
					<LastName>Fazli Malidareh</LastName>
<Affiliation>Department of Civil Engineering, Bab.C., Islamic Azad University, Babol, Iran.</Affiliation>
<Identifier Source="ORCID">0000-0001-8916-7015</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2026</Year>
					<Month>02</Month>
					<Day>27</Day>
				</PubDate>
			</History>
		<Abstract>Bottom outlets are a set of structures used to transfer water from the dam reservoir to the downstream. Therefore, due to the importance of this part of the dam, the study of the cavitation phenomenon is particularly sensitive. In the downstream bottom outlets, the flow is transferred at high speed, and due to the separation of the flow and its sudden transformation from a pressurized state to a free state, a sharp drop in the pressure values downstream of the valve occurs. The flow passing under the valve creates a swirling flow downstream of it, the main characteristic of which is a sharp pressure drop. The drop created is a function of the valve opening, the water head behind the valve, and the geometry of the channel. On the other hand, severe pressure fluctuations cause a decrease in local pressure in that area, and due to the high flow velocity, the potential for cavitation increases. How to minimize the negative pressures created downstream of the valve is one of the important issues that are raised in the case of valves. The negative pressures created will ultimately lead to damage to the downstream structure and the valve itself. Cavitation is one of the most unpleasant hydrodynamic phenomena that occurs as a result of such negative pressures created downstream of the valve. In this paper, the governing equations of flow in the two-dimensional case in the physical model of the bottom outlet of the Narmashir dam were solved using appropriate turbulence models to calculate the flow and turbulence pattern. The pressure values were obtained from the numerical solution and then the pressure values on the bottom outlet and the surface in front of the bottom outlets were investigated for 30, 50, and 80 percent opening. The results show that the pressure values obtained from the numerical model follow a similar pattern as the results of physical model. With greater opening, the pressures on the bottom and top of the bottom outlet decrease. In this study, by installing a reverse slope transition after the valves and a larger diameter pipe after the transition, the negative pressure at the end of the pipe after the valve can be reduced. By opening the valve up to 50%, this negative pressure is reduced and the possibility of wastewater returning to the pipe is reduced. Also, the risk of cavitation due to direct impact of the jet with the seabed is reduced. A very strong jet may cause: sediment erosion, local mud, pollution, bed erosion and damage to benthic habitats near the seabed. Therefore, installing a reverse slope transition and an end pipe with a larger diameter than the transfer pipe can be a good idea to reduce the risk of the jet impacting the seabed.</Abstract>
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			<Param Name="value">Negative pressure</Param>
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			<Object Type="keyword">
			<Param Name="value">Bottom outlet valve</Param>
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			<Object Type="keyword">
			<Param Name="value">Hydraulic Model</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">effluent discharge to sea</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Cavitation</Param>
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<ArchiveCopySource DocType="pdf">https://www.ijcoe.org/article_248487_edf5394f0ab276b24b84292202538ca4.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Society Of Marine Science and Technology</PublisherName>
				<JournalTitle>International Journal Of Coastal, Offshore And Environmental Engineering(ijcoe)</JournalTitle>
				<Issn>2980-8731</Issn>
				<Volume>11</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>06</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Data-Driven Assessment and Forecasting of Port Services Demand: A Case Study of Shahid Rajaee Port</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>56</FirstPage>
			<LastPage>68</LastPage>
			<ELocationID EIdType="pii">248488</ELocationID>
			
<ELocationID EIdType="doi">10.22034/ijcoe.2026.585298.1242</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Pouria</FirstName>
					<LastName>Rafati</LastName>
<Affiliation>School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran</Affiliation>
<Identifier Source="ORCID">0009-0004-5117-1421</Identifier>

</Author>
<Author>
					<FirstName>Seyede Masoome</FirstName>
					<LastName>Sadaghi</LastName>
<Affiliation>Road, Housing &amp; Urban Development Research Center, Tehran, Iran</Affiliation>
<Identifier Source="ORCID">0000-0003-4227-1725</Identifier>

</Author>
<Author>
					<FirstName>Ali</FirstName>
					<LastName>Fakher</LastName>
<Affiliation>School of Civil Engineering, University of Tehran, Tehran, Iran</Affiliation>
<Identifier Source="ORCID">0000-0001-6036-2212</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2026</Year>
					<Month>03</Month>
					<Day>18</Day>
				</PubDate>
			</History>
		<Abstract>Ports play a vital role in maritime transport and international trade, and port services—as a critical component of the maritime supply chain—significantly influence overall port efficiency. Accordingly, accurately forecasting port service demand in relation to economic fluctuations, trade constraints, and infrastructural conditions is essential for operational planning and infrastructure development. This study aims to analyze various categories of port services and to forecast service demand, with a specific focus on Shahid Rajaee Port. For this purpose, real operational data—including maritime and land-side traffic information and key performance indicators—were collected, refined, and analyzed using regression, time-series and moving-average models. The results indicate that variables such as cargo handling volume, number of incoming vessels, duration of marine service operations, truck and rail flows, economic and political conditions have a decisive impact on port service demand. The findings of this research provide valuable guidance for managers in resource allocation, capacity development, congestion management, and enhancing port operations in line with sustainable development objectives.</Abstract>
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			<Param Name="value">Port services</Param>
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			<Object Type="keyword">
			<Param Name="value">Service Demand Forecasting</Param>
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			<Object Type="keyword">
			<Param Name="value">Port Management</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Data assessment</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Shahid Rajaee Port</Param>
			</Object>
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<ArchiveCopySource DocType="pdf">https://www.ijcoe.org/article_248488_f1d2e17c7c4d64be68159351562a2fa8.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Society Of Marine Science and Technology</PublisherName>
				<JournalTitle>International Journal Of Coastal, Offshore And Environmental Engineering(ijcoe)</JournalTitle>
				<Issn>2980-8731</Issn>
				<Volume>11</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>06</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A Critical Review of Challenges and opportunities in Using Remote Sensing and Image Processing for Rip Current Studies</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>69</FirstPage>
			<LastPage>85</LastPage>
			<ELocationID EIdType="pii">237121</ELocationID>
			
<ELocationID EIdType="doi">10.22034/ijcoe.2025.516768.1161</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Azadeh</FirstName>
					<LastName>Valipour</LastName>
<Affiliation>Department of Marine Science and Technology, Jouybar Branch, Islamic Azad University, Jouybar, Iran</Affiliation>
<Identifier Source="ORCID">0000-0003-4345-0928</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2026</Year>
					<Month>03</Month>
					<Day>31</Day>
				</PubDate>
			</History>
		<Abstract>Rip currents, often appearing as mushroom-shaped features within the surf zone, are a primary cause of swimmer drownings along beaches worldwide. Due to their transient nature, the application of advanced remote sensing and computer vision techniques for localized detection of these phenomena significantly mitigates the limitations traditionally associated with their study. In addition to these methods, the emergence of machine learning and artificial intelligence (AI) techniques provides powerful tools for a more precise investigation of rip currents, offering substantial support to remote sensing approaches and enhancing the efficiency of coastal lifeguard operations on larger scales. This study aims to present a comprehensive review of the relevant literature from 2014 to 2023, evaluating both traditional and modern approaches to analyzing the behavior of these coastal currents. Particular emphasis is placed on examining the conducted studies, including details on the categorization of research objectives, comparison of various tools, and exploration of associated opportunities and challenges.</Abstract>
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			<Object Type="keyword">
			<Param Name="value">Rip currents</Param>
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			<Object Type="keyword">
			<Param Name="value">surf zone</Param>
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			<Object Type="keyword">
			<Param Name="value">Remote Sensing</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Machine Learning</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Artificial intelligence</Param>
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<ArchiveCopySource DocType="pdf">https://www.ijcoe.org/article_237121_ae4e5fa179c6bdcbc7a6ad3416977421.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Society Of Marine Science and Technology</PublisherName>
				<JournalTitle>International Journal Of Coastal, Offshore And Environmental Engineering(ijcoe)</JournalTitle>
				<Issn>2980-8731</Issn>
				<Volume>11</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>06</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>The failure probability of reinforced concrete marine structures and cost optimization of maintenance</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>86</FirstPage>
			<LastPage>97</LastPage>
			<ELocationID EIdType="pii">248489</ELocationID>
			
<ELocationID EIdType="doi">10.22034/ijcoe.2026.585601.1243</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Abdolhossein</FirstName>
					<LastName>Moahammad Rahimi</LastName>
<Affiliation>Department of Marine Engineering, Chabahar maritime university, Shahid  Rigi Ave, Chabahar, Iran</Affiliation>
<Identifier Source="ORCID">0000-0001-7560-6400</Identifier>

</Author>
<Author>
					<FirstName>Afshin</FirstName>
					<LastName>Ghasri</LastName>
<Affiliation>Department of Maritime Engineering, Amirkabir University of Technology, Hafez Ave, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Mesbah</FirstName>
					<LastName>Sayebani</LastName>
<Affiliation>Department of Maritime Engineering, Amirkabir University of Technology, Hafez Ave, Tehran, Iran</Affiliation>
<Identifier Source="ORCID">0000-0002-9482-3248</Identifier>

</Author>
<Author>
					<FirstName>Akbar</FirstName>
					<LastName>Esfandiari</LastName>
<Affiliation>Department of Maritime Engineering, Amirkabir University of Technology, Hafez Ave, Tehran, Iran</Affiliation>
<Identifier Source="ORCID">0000-0002-1358-2754</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2026</Year>
					<Month>04</Month>
					<Day>02</Day>
				</PubDate>
			</History>
		<Abstract>Due to the increased life of marine structures in the world, repair and maintenance of low cost and high reliability are of concern in this industry. In this paper, the corrosion-induced crack width of reinforced concrete (RC) structure in the marine environment is estimated according to the experimental data, laboratory results, and numerical formulas. Symptom-based Weibull function distribution and Bayesian theory have been used to predict the structural reliability in different modes (without repair and maintenance, with maintenance, and with repair and maintenance) and the probability of failure was assessed before and after maintenance to predict the appropriate time for its implementation using Bayesian theory. Bi-objective optimization was utilized to provide the client with optimal decisions regarding the probability of structural failure as well as the type of repair and maintenance strategies. The results showed the effectiveness of the proposed method in predicting performance, improving life service, and optimizing repair and maintenance costs of the marine structure.</Abstract>
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			<Object Type="keyword">
			<Param Name="value">corrosion</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Crack width</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">symptom-based Reliability</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">maintenance and repair</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">cost optimization</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://www.ijcoe.org/article_248489_c99604698f81b2454389e8e3b6d3520b.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Society Of Marine Science and Technology</PublisherName>
				<JournalTitle>International Journal Of Coastal, Offshore And Environmental Engineering(ijcoe)</JournalTitle>
				<Issn>2980-8731</Issn>
				<Volume>11</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>06</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>The Role of Standards in Maritime-Based Development: An Analysis of Challenges in Iran’s Maritime Industry</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>98</FirstPage>
			<LastPage>105</LastPage>
			<ELocationID EIdType="pii">248490</ELocationID>
			
<ELocationID EIdType="doi">10.22034/ijcoe.2026.574249.1223</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Amir Nezam</FirstName>
					<LastName>Barati</LastName>
<Affiliation>Assistant Professor of Law, Department of Law, Imam Khomeini Maritime Science University, Mazandaran, Iran</Affiliation>
<Identifier Source="ORCID">0000-0002-0129-6670</Identifier>

</Author>
<Author>
					<FirstName>Meysam</FirstName>
					<LastName>Bali</LastName>
<Affiliation>Assistant Professor, Faculty of Marine Engineering, Amirkabir University of Technology, Tehran, Iran</Affiliation>
<Identifier Source="ORCID">0009-0004-8602-6953</Identifier>

</Author>
<Author>
					<FirstName>Ali</FirstName>
					<LastName>Alimohamadpour</LastName>
<Affiliation>4 Assistant Professor, Department of Economic and Accounting, Imam Khomeini Maritime Science University, Mazandaran, Iran</Affiliation>
<Identifier Source="ORCID">0000-0002-0129-6670</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2026</Year>
					<Month>04</Month>
					<Day>13</Day>
				</PubDate>
			</History>
		<Abstract>Abstract&lt;br&gt;&lt;br&gt;Maritime-based development has emerged as a critical pathway for achieving sustainable economic growth, particularly for coastal states whose industries depend on safe, efficient, and environmentally responsible maritime operations. Despite its strategic maritime position, Iran faces significant challenges in aligning its maritime sector with international standards. This study examines the role of technical, legal, and operational standards in shaping maritime-based development, with a focus on identifying structural barriers within Iran’s maritime industry. Employing a comparative qualitative methodology, the research analyzes international benchmarks—including key IMO conventions such as SOLAS, MARPOL, and STCW—and compares them with Iran’s existing regulatory framework, institutional capacities, and enforcement practices.&lt;br&gt;&lt;br&gt;The findings reveal several critical gaps, including outdated regulatory instruments, weak and fragmented inspection mechanisms, insufficient adherence to IMO-mandated safety and environmental standards, and limited integration of global best practices in maritime education and training. Additionally, the study identifies institutional overlap and lack of inter-agency coordination as major obstacles to effective implementation.The research concludes that Iran can significantly enhance its maritime competitiveness by updating national regulations, strengthening port and vessel inspection systems, adopting a unified maritime governance structure, and fully harmonizing its educational programs with STCW requirements. These reforms are essential for enabling Iran to transition toward a modern, safe, and globally competitive maritime economy, thereby leveraging its maritime geography for sustainable national development.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Maritime standards</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Blue economy</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">sustainable development</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Maritime-Based Development</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Iran&amp;rsquo</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">s Maritime Industry</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://www.ijcoe.org/article_248490_278adcdfd909dbab402ab2227d0d1beb.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
