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Prediction of vertical displacement for a buried pipeline subjected to normal fault using a hybrid FEM-ANN approach

Frontiers of structural and Civil Engineering 2024年第3期18卷 428-443页

作者： Hedye jALALI Reza YEGANEH KHAKsAR Danial MOHAMMADZADEH s. Nader KARBALLAEEZADEH amir H.GANDOMI Department of Civil Engineering Architecture and UrbanismSadjad University of TechnologyPO Box ***MashhadIran Department of Civil Engineering Faculty of EngineeringEqbal Lahoori Institute of Higher EducationPO Box ***MashhadIran Faculty of Civil Engineering Architectureand ArtScience and Research Branch of Islamic Azad UniversityPO Box ***TehranIran Faculty of Engineering&Information Technology University of Technology SydneyUltimoNSW 2007Australia University Research and Innovation Center(EKIK) Óbuda UniversityBudapest 1034Hungary

Fault movement during earthquakes is a geotechnical phenomenon threatening buried pipelines and with the potential to cause severe damage to critical ***,effective prediction of pipe displacement is crucial for preventive management *** study aims to develop a fast,hybrid model for predicting vertical displacement of pipe networks when they experience *** this study,the complex behavior of soil and a buried pipeline system subjected to a normal fault is analyzed by using an artificial neural network(ANN)to generate predictions the behavior of the soil when different parameters of it are *** this purpose,a finite element model is developed for a pipeline subjected to normal fault *** data bank used for training the ANN includes all the critical soil parameters(cohesion,internal friction angle,Young’s modulus,and faulting).Furthermore,a mathematical formula is presented,based on biases and weights of the ANN *** results show that the maximum error of the presented formula is 2.03%,which makes the proposed technique efficiently predict the vertical displacement of buried pipelines and hence,helps to optimize the upcoming pipeline projects.

关键词： buried pipelines normal Fault finite element method multilayer perceptron neural network formulation

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Techno-Economic Optimization of Novel stand-Alone Renewable Based Electric Vehicle Charging station near Bahria Town Karachi,sindh Pakistan

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Energy Engineering 2024年第6期121卷 1439-1457页

作者： Aneel Kumar Mahesh Kumar amir Mahmood soomro Laveet Kumar Department of Electrical Engineering Mehran University of Engineering and TechnologyJamshoroPakistan Department of Mechanical Engineering Mehran University of Engineering and TechnologyJamshoroPakistan

Electric vehicles (EVs) are the most interesting and innovative technology in the 21st century because of theirenormous advantages, both technically and economically. Their emissions rate compared to fuel-based vehicles isnegligible as they do not consume fuel and hence do not emit any harmful gases. However, their bulk production,adoption and lack of charging stations increase the stress of power stations due to modern-day lifestyles. If Electricvehicles demand increases drastically then conventional power stations will not bear their demand and if theygenerate electricity by conventional means it will be very costly and may further add greenhouse gases. Therefore,this research provides the techno-economic assessment of a stand-alone renewable-dependent electric vehiclecharging station, excluding any burden on electrical utility. The proposed study is carried out in Bahria Town,Karachi, a city in Pakistan. In this study, HOMER Pro software was utilized for techno-economic assessment. Ahybrid system comprising solar Photovoltaic/Wind Turbine/Fuel cells and battery storage is included in the *** and wind resources were taken from NAsA’s website, where charging stations will be integrated. The overallresults show promising in terms of total Net Present Cost and the Cost of Energy which are 2.72M $ and 0.237 $,respectively. The total system generation is 3,598 Megawatt hours per year, and the total energy consumption is 885Megawatt hours per year.

关键词： Electrical vehicle techno economic analysis solar energy wind energy hydrogen energy

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Assessment of rehabilitation strategies for lakes affected by anthropogenic and climatic changes: A case study of the Urmia Lake, Iran

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journal of Arid Land 2024年第6期16卷 752-767页

作者： seyed Morteza MOUsAVI Hossein BABAZADEH Mahdi sARAI-TABRIZI amir KHOsROjERDI Department of Water science and Engineering Science and Research BranchIslamic Azad UniversityTehran 147789-3855Iran

Over the last three decades,more than half of the world's large lakes and wetlands have experienced significant shrinkage,primarily due to climate change and extensive water consumption for agriculture and other human *** desiccation of lakes leads to severe environmental,economic,and social *** Lake,located in northwestern Iran and representing a vital natural ecosystem,has experienced a volume reduction of over 90.0%.Our research evaluated diverse water management strategies within the Urmia Lake basin and prospects of inter-basin water *** study focused on strategies to safeguard the environmental water rights of the Urmia Lake by utilizing the modeling and simulating(MODsIM)*** model simulated changes in the lake's water volume under various *** included diverting water from incoming rivers,cutting agricultural water use by 40.0%,releasing dam water in non-agricultural seasons,treated wastewater utilization,and inter-basin *** hierarchy process(AHP)was utilized to analyze the simulation *** opinions with AHP analysis,acted as a multi-criteria decision-making tool to evaluate the simulation and determine the optimal water supply source priority for the Urmia *** findings underscore the critical importance of reducing agricultural water consumption as the foremost step in preserving the *** this,inter-basin water transfers are suggested,with a detailed consideration of the inherent challenges and limitations faced by the source *** is imperative to conduct assessments on the impacts of these transfers on the downstream users and the potential environmental risks,advocating for a diplomatic and cooperative approach with adjacent *** study also aims to forecast the volumes of water that can be transferred under different climatic conditions—drought,normal,and wet years—to inform strategic water management planning for the Urmia *** to our proj

关键词： climate change drought lake ecological level agricultural water demand inter-basin water transfer

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Boron Nitride-Integrated Lithium Batteries:Exploring Innovations in Longevity and Performance

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Energy & Environmental Materials 2024年第6期7卷 13-40页

作者： shayan Angizi sayed Ali Ahmad Alem Mahdi Torabian Maryam Khalaj Dmitri Golberg amir Pakdel Department of Chemical Engineering McMaster University1280 Main St WHamiltonONL8S 4L7 Canada Institute of Chemistry of Polymeric Materials Montanuniversität LeobenOtto-Glöckel-Strasse 2A-8700 LeobenAustria Department of Chemistry Materials and Chemical EngineeringPolitecnico di MilanoPiazza Leonardo da Vinci 3220133 MilanItaly Department of Materials science and Engineering Northwestern UniversityEvanstonIL60208 USA Centre for Materials science and school of Chemistry and Physics Queensland University of Technology(QUT)2 GeorgeBrisbaneQLD4000 Australia Research Centre for Materials Nanoarchitectonics(MANA) National Institute for Materials Science(NIMS)Namiki 1Ibaraki3050044 Japan Department of Mechanical Manufacturing and Biomedical EngineeringTrinity College DublinThe University of DublinDublinD02PN40 Ireland

The current global warming,coupled with the growing demand for energy in our daily lives,necessitates the development of more efficient and reliable energy storage *** batteries(LBs)are at the forefront of emerging power sources addressing these *** studies have shown that integrating hexagonal boron nitride(h-BN)nanomaterials into LBs enhances the safety,longevity,and electrochemical performance of all LB components,including electrodes,electrolytes,and separators,thereby suggesting their potential value in advancing eco-friendly energy *** review provides an overview of the most recent applications of h-BN nanomaterials in *** begins with an informative introduction to h-BN nanomaterials and their relevant properties in the context of LB ***,it addresses the challenges posed by h-BN and discusses existing strategies to overcome these limitations,offering valuable insights into the potential of BN *** review then proceeds to outline the functions of h-BN in LB components,emphasizing the molecular-level mechanisms responsible for performance ***,the review concludes by presenting the current challenges and prospects of integrating h-BN nanomaterials into battery research.

关键词： electrode electrolyte hexagonal boron nitride lithium battery separator

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Combining Polarization-Division Multiplexing and Ferromagnetic Nonreciprocity to Achieve In-Band Ultra-High Isolation for Full-Duplex Wireless systems

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Engineering 2024年第9期40卷 179-187页

作者： amir Afshani Ke Wu Poly-Grames Research Center Department of Electrical EngineeringÉcole Polytechnique de MontréalMontrealQC H3T 1J4Canada

The in-band full-duplex(IBFD)wireless system is a promising candidate for 6G and beyond,as it can double data throughput and enormously lower transmission latency by supporting simultaneous in-band transmission and reception of *** IBFD systems requires a substantial mitigation of a transmitter(Tx)’s strong self-interference(sI)signal into the receiver(Rx)***,current state-ofthe-art approaches to tackle this challenge are inefficient in terms of performance,cost,and complexity,hindering the commercialization of IBFD *** this work,we devise and demonstrate an innovative approach to realize IBFD systems that exhibit superior performance with a low-cost and lesscomplex architecture in an all-passive *** scheme is based on meticulously combining polarization-division multiplexing(PDM)with ferromagnetic nonreciprocity to achieve ultra-high isolation between Tx and Rx *** an unprecedented conception has become feasible thanks to a concurrent dual-mode circulator—a new component introduced for the first time—as a key feature of our module,and a dual-mode waveguide that transforms two orthogonally polarized waves into two orthogonal waveguide *** addition,we propose a unique passive tunable secondary sI cancellation(sIC)mechanism,which is embedded within the proposed module and boosts the isolation over a relatively broad *** report,solely in the analog domain,experimental isolation levels of 50,70,and 80 dB over 340,101,and 33 MHz bandwidth at the center frequency of interest,respectively,with excellent tuning ***,the module is tested in two real IBFD scenarios to assess its performance in connection with Tx-to-Rx leakage and modulation error in the presence of a Tx’s strong interference signal.

关键词： In-band full-duplex transceiver 6G Polarization-division multiplexing Dual-mode nonreciprocity

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A Hybrid and Lightweight Device-to-server Authentication Technique for the Internet of Things

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Computers, Materials & Continua 2024年第3期78卷 3805-3823页

作者： shaha Al-Otaibi Rahim Khan Hashim Ali Aftab Ahmed Khan amir saeed jehad Ali Department of Information systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer science Abdul Wali Khan University MardanMardan23200Pakistan Department of Computer science and IT UET PeshawarJalozai Campus PeshawarPeshawar24240Pakistan Department of AI Convergence Network Ajou UniversitySuwon16499South Korea

The Internet of Things(IoT)is a smart networking infrastructure of physical devices,i.e.,things,that are embedded with sensors,actuators,software,and other technologies,to connect and share data with the respective server *** IoTs are cornerstones in different application domains,the device’s authenticity,i.e.,of server(s)and ordinary devices,is the most crucial issue and must be resolved on a priority ***,various field-proven methodologies were presented to streamline the verification process of the communicating devices;however,location-aware authentication has not been reported as per our knowledge,which is a crucial metric,especially in scenarios where devices are *** paper presents a lightweight and location-aware device-to-server authentication technique where the device’s membership with the nearest server is subjected to its location information along with other ***,Media Access Control(MAC)address and Advance Encryption scheme(AEs)along with a secret shared key,i.e.,λ_(i) of 128 bits,have been utilized by Trusted Authority(TA)to generate MaskIDs,which are used instead of the original ID,for every device,i.e.,server and member,and are shared in the offline ***,TA shares a list of authentic devices,i.e.,server s_(j) and members C_(i),with every device in the IoT for the onward verification process,which is required to be executed before the initialization of the actual communication ***,every device should be located such that it lies within the coverage area of a server,and this location information is used in the authentication process.A thorough analytical analysis was carried out to check the susceptibility of the proposed and existing authentication approaches against well-known intruder attacks,i.e.,man-in-the-middle,masquerading,device,and server impersonations,etc.,especially in the IoT ***,proposed authentication and existing state-of-the-art approaches have been s

关键词： Internet of things authenticity security location communication

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Analysis of CH_(4) and H_(2) Adsorption on Heterogeneous shale surfaces Using aMolecular Dynamics Approach

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Fluid Dynamics & Materials Processing 2024年第1期20卷 31-44页

作者： surajudeen sikiru Hassan soleimani amir Rostami Mohammed Falalu Hamza Lukmon Owolabi Afolabi Centre of subsurface Imaging(CsI) Universiti Teknologi PETRONASTronohPerakMalaysia Department of Geosciences Universiti Teknologi PETRONASBandar Seri IskandarTronohPerakMalaysia Department of Pure&Industrial Chemistry Faculty of Physical SciencesBayero University KanoKanoNigeria Department of Mechanical Engineering Engineering Institute of TechnologyMelbourne Campus VictoriaMelbourneAustralia

Determining the adsorption of shale gas on complex surfaces remains a challenge in molecular simulation *** essentially stem from the need to create a realistic shale structure model in terms of mineral heterogeneityand ***,precise characterization of the competitive adsorption of hydrogen andmethane in shale generally requires the experimental determination of the related adsorptive *** thisstudy,the adsorption of adsorbates,methane(CH_(4)),and hydrogen(H_(2))on heterogeneous shale surface modelsof Kaolinite,Orthoclase,Muscovite,Mica,C_(60),and Butane has been simulated in the frame of a moleculardynamic’s numerical *** results show that these behaviors are influenced by pressure and *** increasing the pressure from 500 to 2000 psi,the sorption effect for CH_(4)significantly increasesbut shows a decline at a certain stage(if compared to H_(2)).The research findings also indicate that raw shalehas a higher capacity to adsorb CH_(4)compared to ***,in shale,this difference is negligible.

关键词： shale gas adsorption methane hydrogen molecular dynamic sorption

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Generalized polynomial chaos expansion by reanalysis using static condensation based on substructuring

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Applied Mathematics and Mechanics(English Edition) 2024年第5期45卷 819-836页

作者： D.LEE s.CHANG j.LEE Department of Automotive Engineering Hanyang UniversitySeoul 04763Republic of Korea school of Mechanical Engineering Chungnam National UniversityDaejeon 34134Republic of Korea Department of Mechanical Robotics and Energy EngineeringDongguk UniversitySeoul 04620Republic of Korea

This paper presents a new computational method for forward uncertainty quantification(UQ)analyses on large-scale structural systems in the presence of arbitrary and dependent random *** method consists of a generalized polynomial chaos expansion(GPCE)for statistical moment and reliability analyses associated with the stochastic output and a static reanalysis method to generate the input-output data *** the reanalysis,we employ substructuring for a structure to isolate its local regions that vary due to random *** allows for avoiding repeated computations of invariant substructures while generating the input-output data *** substructuring with static condensation further improves the computational efficiency of the reanalysis without losing ***,the GPCE with the static reanalysis method can achieve significant computational saving,thus mitigating the curse of dimensionality to some degree for UQ under high-dimensional *** numerical results obtained from a simple structure indicate that the proposed method for UQ produces accurate solutions more efficiently than the GPCE using full finite element analyses(FEAs).We also demonstrate the efficiency and scalability of the proposed method by executing UQ for a large-scale wing-box structure under ten-dimensional(all-dependent)random inputs.

关键词： forward uncertainty quantification(UQ) generalized polynomial chaos expansion(GPCE) static reanalysis method static condensation substructuring

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Evasive attacks against autoencoder-based cyberattack detection systems in power systems

Energy and AI

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Energy and AI 2024年第3期17卷 126-135页

作者： Yew Meng Khaw amir Abiri jahromi Mohammadreza F.M.Arani Deepa Kundur Department of Electrical and Computer Engineering University of TorontoTorontoON M5S 3G4Canada school of Electronic and Electrical Engineering University of LeedsLeedsLS29JTUnited Kingdom Department of Electrical Computer&Biomedical EngineeringToronto Metropolitan University(formerly Ryerson University)TorontoON M5B 2K3Canada

The digital transformation process of power systems towards smart grids is resulting in improved reliability, efficiency and situational awareness at the expense of increased cybersecurity vulnerabilities. Given the availability of large volumes of smart grid data, machine learning-based methods are considered an effective way to improve cybersecurity posture. Despite the unquestionable merits of machine learning approaches for cybersecurity enhancement, they represent a component of the cyberattack surface that is vulnerable, in particular, to adversarial attacks. In this paper, we examine the robustness of autoencoder-based cyberattack detection systems in smart grids to adversarial attacks. A novel iterative-based method is first proposed to craft adversarial attack samples. Then, it is demonstrated that an attacker with white-box access to the autoencoder-based cyberattack detection systems can successfully craft evasive samples using the proposed method. The results indicate that naive initial adversarial seeds cannot be employed to craft successful adversarial attacks shedding insight on the complexity of designing adversarial attacks against autoencoder-based cyberattack detection systems in smart grids.

关键词： Cybersecurity Adversarial attacks Anomaly detection Iterative-based methods substati on automati on

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Enhanced asphalt dynamic modulus prediction: A detailed analysis of artificial hummingbird algorithm-optimised boosted trees

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journal of Road Engineering 2024年第2期4卷 224-233页

作者： Ikenna D.Uwanuakwa Ilham Yahya amir Lyce Ndolo Umba Department of Civil Engineering Near East UniversityMersin 10Turkey Faculty of sciences University of LubumbashiLubumbashiThe Democratic Republic of Congo

This study introduces and evaluates a novel artificial hummingbird algorithm-optimised boosted tree(AHAboosted)model for predicting the dynamic modulus(E*)of hot mix asphalt *** a substantial dataset from NCHRP Report-547,the model was trained and rigorously *** metrics,specifically RMsE,MAE,and R2,were employed to assess the model's predictive accuracy,robustness,and *** benchmarked against well-established models like support vector machines(sVM)and gaussian process regression(GPR),the AHA-boosted model demonstrated enhanced *** achieved R2 values of 0.997 in training and 0.974 in testing,using the traditional Witczak NCHRP 1-40D model *** features such as test temperature,frequency,and asphalt content led to a 1.23%increase in the test R2,signifying an improvement in the model's *** study also explored feature importance and sensitivity through sHAP and permutation importance plots,highlighting binder complex modulus|G*|as a key *** the AHA-boosted model shows promise,a slight decrease in R2 from training to testing indicates a need for further ***,this study confirms the AHA-boosted model as a highly accurate and robust tool for predicting the dynamic modulus of hot mix asphalt concrete,making it a valuable asset for pavement engineering.

关键词： Asphalt Dynamic modulus Prediction Artificial hummingbird algorithm Boosted tree

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