Engineering reports : open access最新文献

{"title":"Modeling and Analysis of Nonlinear Radiative and Electromagnetic Effects With Second-Order Slip in Unsteady Hybrid Nanofluid Flow Past a Porous Stretching Surface","authors":"Mazhar Hussain,&nbsp;Sadia Hameed,&nbsp;Muhammad Zohaib Hanif,&nbsp;Mubashir Qayyum,&nbsp;Saraswati Acharya","doi":"10.1002/eng2.70955","DOIUrl":"https://doi.org/10.1002/eng2.70955","url":null,"abstract":"<p>The unsteady stagnation point flow of hybrid nanofluid (Fe₂O₃-Cu/H₂O) over an inclined porous stretching surface subject to the combined effects of magnetic and electric fields, mixed convection, heat source/sink and linear and nonlinear thermal radiations is explored in this study. The current study incorporates a second-order velocity slip condition to capture the near-wall rarefaction effects, which puts it apart from the traditional single-slip or no-slip formulations. Using appropriate similarity transformations, the governing partial differential equations are converted into a system of nonlinear ordinary differential equations, which are then numerically solved using the MATLAB bvp4c solver. The results show that the velocity profile raises with the increase of magnetic field parameter under suction but decreases with the increase of magnetic field parameter under injection and electric field parameter increases the flow velocity for all values of suction/injection. The temperature profile increases with increase in magnetic strength, Eckert number and slip parameter because of enhanced Joule heating and viscous dissipation while the electric field and heat sink has decreasing effect on the temperature profile. The effect of nonlinear radiation on temperature profile and Nusselt number is more complex than the linear radiation. These findings provide useful insights for thermal management in engineering systems involving magnetized hybrid nanofluids over stretching surfaces.</p>","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"8 8","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.70955","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148616466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Probabilistic Seismic Stability Analysis of Pile Reinforced Slope Using Modified Pseudo Dynamic Method Based on Modified Response Surfaces Approach","authors":"Ziyang Song,&nbsp;Jiakun Liu,&nbsp;Liang Li","doi":"10.1002/eng2.70967","DOIUrl":"https://doi.org/10.1002/eng2.70967","url":null,"abstract":"<p>This paper proposes a modified methodology for evaluating the seismic stability of pile-reinforced slopes by coupling the modified pseudo-dynamic method with multiple modified response surfaces based on the Hassan and Wolff method. The proposed framework is applied to a homogeneous soil slope to compare traditional response surface functions with the modified response surface method and to determine the optimal pile design parameters. The comparison between the modified and traditional response surface predictions demonstrates that the proposed method provides a more accurate estimation of the factor of safety when uncertainties in seismic motion parameters and soil properties are considered. Furthermore, the failure probability assessment using the modified response surface functions for both the single sliding surface and the Hassan and Wolff approaches indicates that accounting for the variability of the critical sliding surface can capture a broader range of potential failure scenarios.</p>","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"8 8","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.70967","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148615967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Explainable Machine Learning With Hybrid Feature Selection for Thyroid Disease Classification: A Case Study in Bangladesh","authors":"Md. Minhajul Abedin,&nbsp;Arka Chakraborty,&nbsp;Sawrav Das,&nbsp;Manoshi Das Turjo,&nbsp;Aditta Chowdhury,&nbsp;Mahdy Rahman Chowdhury","doi":"10.1002/eng2.70980","DOIUrl":"https://doi.org/10.1002/eng2.70980","url":null,"abstract":"<p>Thyroid disease is a prevalent endocrine disorder that requires early and accurate diagnosis for effective treatment. Machine learning (ML) techniques have demonstrated remarkable potential in this domain, offering accurate and efficient diagnostic tools. This study explores a systematic approach involving Exploratory Data Analysis (EDA), feature engineering, and extensive model evaluation to detect thyroid disease. A total of 348 patient records collected at the National Institute of Nuclear Medicine and Allied Sciences (NINMAS), Dhaka, Bangladesh, between October and December 2024 were analyzed. The dataset comprised 217 euthyroid, 51 clinical hyperthyroid, 33 subclinical hyperthyroid, 28 clinical hypothyroid, and 19 subclinical hypothyroid cases. The dataset was partitioned into 70% training and 30% testing sets, with 10-fold stratified cross-validation performed on the training set for robust model development and evaluation. This study evaluates conventional and ensemble algorithms for multiclass thyroid disease diagnosis, encompassing euthyroid, hyperthyroid, hypothyroid, subclinical hypothyroid, and subclinical hyperthyroid categories. Validation employed patient-disjoint partitioning, stratified cross-validation, and an independent hold-out set for robust generalization. In the full-feature baseline, CatBoost and Bagging Ensemble classifiers attained a test accuracy of 96.15%, with macro-averaged F1 of 94.90%, weighted F1 of 96.09%, Cohen's kappa of 93.29%, and Matthews correlation coefficient of 93.37%. A Variance Threshold (VT) with Mutual Information Gain (MI) feature selection framework preserved these metrics for the Bagging Ensemble while reducing dimensionality, enhancing interpretability without compromising accuracy. Explainable AI (XAI) techniques, SHAP and LIME, were used to interpret feature importance and model behavior, ensuring transparency in decision-making. Interpretability analysis revealed TSH and free thyroxine (FT4) as the most influential biomarkers driving model outputs. Although constrained by limited sample size and single-center data acquisition, the framework achieved robust internal validation metrics. These results, while promising, remain provisional and require external validation on larger, multi-institutional cohorts to establish clinical generalizability.</p>","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"8 8","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.70980","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148615965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on Control Performance Improvement of Quantitative Feeder Using RBF Neural Network Predictor and PI Controller","authors":"Pak Gumhyok,&nbsp;Jo Hyok,&nbsp;Pak Chunghyo,&nbsp;Sin Byonchol,&nbsp;Ro Daeun,&nbsp;Ri Unung","doi":"10.1002/eng2.70935","DOIUrl":"https://doi.org/10.1002/eng2.70935","url":null,"abstract":"<p>The quantitative feeder is a critical production equipment that supplies raw materials according to precise set amounts, playing an essential role in modernizing mixing processes across agrochemical, pharmaceutical, foodstuff, steel, and cement industries. However, conventional PID controllers face significant challenges in achieving desired feeding accuracy due to inherent process perturbations including transport delays, material non-uniformity, and load-sensing errors induced by motor vibration. This paper proposes a novel hybrid control architecture that synthesizes the operational simplicity of industrial PI control with the predictive capabilities of radial basis function (RBF) neural networks. The RBF network predicts future values of controlled variables to anticipate process disturbances and transport delays, while the PI controller parameters are intelligently adjusted based on predictive error signals. Theoretical stability analysis using Lyapunov method guarantees the convergence of prediction errors. Simulation and experimental results demonstrate that the proposed method improves feeding accuracy by more than a factor of two compared with conventional PID control, maintaining errors below 0.02%.</p>","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"8 7","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.70935","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148462903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hydrodynamic Performance of a Novel Wave-Driven Pump for Artificial Downwelling of Surface Water in Coastal Waters","authors":"Kyong-Yong Min,&nbsp;Un-Ryong Rim,&nbsp;Ryong-Chol Kwon","doi":"10.1002/eng2.70920","DOIUrl":"https://doi.org/10.1002/eng2.70920","url":null,"abstract":"<p>Artificial downwelling of oxygen-rich surface water (ORSW) has recently gained interest among environmental engineers as a potential solution for alleviating hypoxia in coastal waters. This paper proposes a novel wave-driven pump for artificial downwelling of ORSW and evaluates its hydrodynamic performance. The vertical motion equation of the floating buoy is formulated by considering the wave exciting force, wave radiation force, hydrostatic force, and external force, where the external force varies depending on the open/closed state of the check valve. The hydrodynamic model is implemented in MATLAB/SIMULINK and validated against CFD results obtained from ANSYS/AQWA. The model is then employed to examine the influences of various parameters, including wave amplitude (1–3 m), pipe diameter (0.2–0.6 m), pipe length (90–235 m), and buoy diameter (2–5 m), on the hourly volume of pumped ORSW.</p>","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"8 7","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.70920","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148462805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimized Joint Relay and Antenna Selection for Enhanced Full-Duplex Relay Networks","authors":"Deepika Rani Sona,&nbsp;Visalakshi Annepu,&nbsp;Kalapraveen Bagadi,&nbsp;Olutayo O. Oyerinde","doi":"10.1002/eng2.70915","DOIUrl":"https://doi.org/10.1002/eng2.70915","url":null,"abstract":"<p>This paper proposed an adaptive relay-antenna selection (ARS) scheme for full-duplex (FD) amplify-and-forward (AF) relay networks to improve error performance and overall system efficiency. The proposed model contains a single source, a destination, and <i>N</i> FD relays, each equipped with dual antennas for simultaneous transmission and reception. The proposed method dynamically selects optimal transmit–receive antenna pairs based on instantaneous channel conditions, thereby enhancing spatial diversity and mitigating self-interference unlike conventional FD systems with fixed antenna roles. Closed-form analytical expressions for outage probability and symbol error rate (SER) are derived to enumerate performance under Rayleigh fading and realistic interference conditions. Simulation results show that the proposed scheme achieves up to a 35% reduction in outage probability and a 28% improvement in SER compared to traditional relay-selection techniques. The results also validate consistent robustness under loop interference factors (<i>η</i> ≤ 0.05) and dense relay configurations (<i>M</i> ≤ 5). The proposed ARS scheme offers higher spectral efficiency, robust error resilience, and resource-efficient operation. Thus, the ARS scheme can be considered as a promising solution for next-generation 5G and 6G cooperative relay networks.</p>","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"8 7","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.70915","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148462806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Synergistic Enhancement of Solar Thermal Energy Storage Using Al2O3 Nano-PCM and TiO2 Nanocoated Absorber Surfaces","authors":"Sathish Thanikodi,&nbsp;Taoufik Saidani,&nbsp;Saravanan Rathinasamy,&nbsp;Seif Al Bustanji,&nbsp;Arul Gnana Dhas Anderson,&nbsp;Ramya Maranan,&nbsp;A. Johnson Santhosh","doi":"10.1002/eng2.70936","DOIUrl":"https://doi.org/10.1002/eng2.70936","url":null,"abstract":"<p>Heating is one of the basic services as well as leading to a green economy in the domestic and industrial sectors. In thermal energy storage, the integration of nanoparticles could improve heat absorption and retention capacity in solar thermal systems. Also boost photothermal conversion efficiencies by effective thermal conductivity enhancements and solar power utilization. A nano-enhanced phase change material (PCM) based on paraffin wax reinforced with aluminum oxide (Al₂O₃) was explored in this study. The nanoparticles with varied fractions of about 1–2 wt.% were developed for thermal conductivity enhancements and latent heat storage performance. The nanoparticle integrations are able to improve the heat absorption and thermal stability of the PCM, with an optimal concentration of 1.5 wt.% Al₂O₃ showing better thermal behaviors. The results of enhanced heat absorption of about 2467.9 W and latent heat storage were 2009.7 kJ. In addition, a titanium dioxide (TiO₂) nanostructured coating was integrated into the absorber surface to improve solar absorptance and reduce thermal emissivity. The synergistic integrations of TiO₂ nano-coated absorber surfaces with the optimized Al₂O₃-reinforced PCM could significantly improve photothermal energy conversion and heat storage capability, achieving a maximum outlet temperature of 90.7°C and a thermal efficiency of 79.5%. Hence, this study demonstrated a combination of nano-reinforced PCM and nanostructured absorber coatings, providing an effective materials-based option for enhancing thermal energy storage and solar power utilization in renewable energy systems.</p>","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"8 7","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.70936","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148615294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Uncertainty Quantification of Analytical Solutions for the Nonlinear Space and Time Fractional Order \u0000 \u0000 \u0000 \u0000 \u0000 ϕ\u0000 \u0000 \u0000 4\u0000 \u0000 \u0000 \u0000 $$ {phi}^4 $$\u0000 Equation Under Fuzziness","authors":"Mohsin Khalid,&nbsp;Neha Andaleeb Khalid,&nbsp;Baboucarr Ceesay,&nbsp;Zafar Iqbal","doi":"10.1002/eng2.70898","DOIUrl":"https://doi.org/10.1002/eng2.70898","url":null,"abstract":"&lt;p&gt;In this study, the nonlinear time fractional &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;msup&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;ϕ&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mn&gt;4&lt;/mn&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;/msup&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ {phi}^4 $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; equation is taken and made into a space and time nonlinear fractional &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;msup&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;ϕ&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mn&gt;4&lt;/mn&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;/msup&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ {phi}^4 $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; equation. After that, fuzzy theory is utilized to study our simple modified space and time nonlinear fractional &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;msup&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;ϕ&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mn&gt;4&lt;/mn&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;/msup&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ {phi}^4 $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; equation under fuzziness. Our aim is to extract analytical solutions for the proposed model under fuzziness. A fuzzified fractional traveling wave transformation and conformable time fractional derivative are applied to reduce the governing fuzzy space and time fractional nonlinear &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;msup&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;ϕ&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mn&gt;4&lt;/mn&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;/msup&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ {phi}^4 $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; equation into a fuzzy ordinary differential equation (FODE), which is solved using the extended hyperbolic function method (EHFM). By considering different cases and fuzzy lower and upper bounds, multiple types of soliton solutions are derived, including bright solitons, periodic solutions, and exponential-type wave solutions. These solutions describe various nonlinear wave structures that can propagate in dispersive media. To illustrate the physical behavior of the fuzzy space and time fractional nonlinear &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;msup&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;ϕ&lt;/mi&gt;\u0000 ","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"8 7","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.70898","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148462909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nanoparticle-Assisted Polymer Flooding for Enhanced Oil Recovery: Condition-Specific Mechanisms, Modeling Reliability, and Field-Scale Translation","authors":"R. Venkatesh,&nbsp;Kuwar Mausam,&nbsp;M. Brahmaraju,&nbsp;Komal Parashar,&nbsp;Subrahmanya Ranjit Pasupuleti,&nbsp;Madhur Grover,&nbsp;Sagayaraj Pappu,&nbsp;Ramya Maranan,&nbsp;Madaminov Sanjarbek Maxmudjon Ugli,&nbsp;Rajkumar Sivanraju","doi":"10.1002/eng2.70917","DOIUrl":"https://doi.org/10.1002/eng2.70917","url":null,"abstract":"<p>Nanoparticle-assisted polymer flooding (NAPF) is increasingly investigated as a hybrid chemical enhanced oil recovery (EOR) strategy because nanoparticles (NPs) can modify polymer rheology, adsorption, interfacial behavior, and flow diversion under selected reservoir conditions. However, reported performance varies substantially with rock mineralogy, permeability, brine salinity, temperature, crude-oil composition, polymer type, nanoparticle chemistry, particle size, concentration, injection sequence, and slug volume. This review critically evaluates NAPF by separating experimentally verified mechanisms from condition-dependent or still-emerging claims. Evidence from rheology, adsorption tests, contact-angle measurements, interfacial-tension analysis, micromodel visualization, and core flooding is synthesized to show when NPs improve polymer flooding and when they may cause aggregation, retention, injectivity loss, or formation damage. The review also distinguishes validated reservoir-simulation approaches from semi-validated pore-scale and molecular models and speculative artificial intelligence (AI)/digital-twin frameworks. Field and pilot-scale reports are compared using standardized descriptors, including reservoir type, permeability, temperature, salinity, nanomaterial concentration, polymer dosage, slug design, injectivity response, water-cut trend, and incremental recovery. Finally, a structured research roadmap is proposed for formulation screening, model validation, field monitoring, techno-economic assessment, and environmental-risk evaluation. The review emphasizes that NAPF should be interpreted as a reservoir-specific technology rather than a universally effective EOR method.</p>","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"8 7","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.70917","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148462908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrosion and Degradation of Materials in Marine Environments: Implications for Coastal and Offshore Infrastructure","authors":"Ananeva A. Anna,&nbsp;Valentin Romanovski","doi":"10.1002/eng2.70922","DOIUrl":"https://doi.org/10.1002/eng2.70922","url":null,"abstract":"<p>Marine infrastructure, including offshore platforms, pipelines, and subsea cables, operates under the simultaneous influence of cyclic hydrodynamic loads and a corrosive marine environment, leading to complex material degradation and reduced structural reliability. In this study, material corrosion and degradation are examined not as isolated processes, but as key factors governing the fatigue behavior, crack initiation, and limit states of marine structures. It is demonstrated that localized forms of corrosion (pitting, crevice corrosion, and subsurface coating degradation) act as critical initiators of structural failure; indeed, even defects with a depth of merely 0.5–2 mm can significantly amplify stress concentration factors and reduce fatigue life by an order of magnitude. In the most aggressive zones of the marine environment (specifically the splash and tidal zones), corrosion rates can reach 0.5–1.5 mm/year, resulting in an accelerated transition from latent degradation to active structural failure. An integrated failure evolution framework is proposed, linking environmental conditions, corrosion mechanisms, and damage morphologies to their impact on structural response and failure probability. Unlike traditional approaches, which rely on averaged corrosion rates, this study emphasizes the critical role of localized defects as triggers for fatigue failure under cyclic loading conditions. Furthermore, a decision-oriented approach is proposed for selecting protection and operational strategies; this approach integrates coating degradation analysis, cathodic protection, monitoring techniques, and residual life assessment. It is demonstrated that relying solely on a “corrosion allowance” is insufficient to ensure the reliability of structures susceptible to localized degradation. The obtained results establish an engineering foundation for integrating corrosion processes into tasks related to structural strength analysis, fatigue assessment, and the lifecycle management of offshore structures, including the optimization of inspections and service life extension.</p>","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"8 7","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.70922","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148462959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}