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Exploring the mechanical properties of steel-and polypropylene-reinforced ultra-high-performance concrete through numerical analyses and experimental multi-target digital image correlation

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Frontiers of Structural and Civil Engineering 2023年第8期17卷 1228-1248页

作者： Behrooz DADMAND Hamed SADAGHIAN sahand khalilzadehtabrizi Masoud POURBABA Amir MIRMIRAN Department of Civil Engineering University of RaziKermanshah ***Iran Department of Civil Engineering University of TabrizTabriz ***Iran Ingram School of Engineering Texas State UniversitySan MarcosTX 78666USA University of Texas at Tyler TylerTX 75799USA

This study presents experimental and numerical investigations on the mechanical properties of ultrahigh-performance concrete(UHPC)reinforced with single and hybrid micro-and macro-steel and polypropylene *** this purpose,a series of cubic,cylindrical,dog-bone,and prismatic beam specimens(total fiber by volume=1%,and 2%)were tested under compressive,tensile,and flexural loadings.A method,namely multi-target digital image correlation(MT-DIC)was used to monitor the displacement and deflection *** obtained experimental data were subsequently used to discuss influential parameters,i.e.,flexural strength,tensile strength,size effect,*** analyses were also carried out using finite element software to account for the sensitivity of different ***,nonlinear regression analyses were conducted to obtain the flexural load-deflection *** results showed that the MT-DIC method was capable of estimating the tensile and flexural responses as well as the location of the crack with high *** addition,the regression analyses showed excellent consistency with the experimental results,with correlation coefficients close to ***,size-effect modeling revealed that modified Bazant theory yielded the best estimation of the size-effect phenomenon compared to other models.

关键词： UHPC MT-DIC flexural behavior tensile behavior steel fiber polypropylene fiber

Developing a GIS-based rough fuzzy set granulation model to handle spatial uncertainty for hydrocarbon structure classification,case study:Fars domain,Iran

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Geo-Spatial Information Science 2022年第3期25卷 399-412页

作者： sahand Seraj Mahmoud Reza Delavar School of Surveying and Geospatial Engineering University of TehranTehranIran Center of Excellence in Geomatics Engineering in Disaster Management University of TehranTehranIran

It is well agreed that geologic risk occurs during hydrocarbon exploration because diverse uncertainties accompany the entire hydrocarbon system parameters such as the source rock,reservoir rock,trap and seal *** order to overcome such attributes with uncertainties,a number of soft computing methods are *** granules could be provided by the Rough Fuzzy Set Granulation(RFSG)with a thorough quality *** is capable of attribute reduction that has been claimed to be essential in investigating the hydrocarbon *** paper is an endeavor to recommend a Geospatial Information System(GIS)-based model with the aim of categorizing the hydrocarbon structures map consistent with the uncertainty range concepts of geologic risk in the rough fuzzy sets and granular *** model used the RFSG for the attribute reduction by a Decision Logic language(DLlanguage).The RFSG was employed in order to classify hydrocarbon structures according to geological risk and extract the fuzzy rules with a predefined range of *** order to assess the precisions of the fuzzy decisions on the hydrocarbon structure classification,the fuzzy entropy and fuzzy cross-entropy are *** proposed RFSG model applied for 62 structures as the training data,average fuzzy entropy has been calculated as 0.85,whereas the average fuzzy cross-entropy has been calculated *** it can be discerned,just seven structures had cross-entropies greater than 0.1,while three structures were larger than *** is implied that the precision of the proposed model is about 89%.The results yielded two reductions for the condition attributes and 11 fuzzy rules being filtered by the granular computing values.

关键词： Rough fuzzy set granular computing Geospatial Information Science(GIS) petroleum system hydrocarbon structure

Embedding-based Detection and Extraction of Research Topics from Academic Documents Using Deep Clustering

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Journal of Data and Information Science 2021年第3期6卷 99-122页

作者： sahand Vahidnia Alireza Abbasi Hussein A.Abbass University of New South Wales Canberra2612ACTAustralia

Purpose:Detection of research fields or topics and understanding the dynamics help the scientific community in their decisions regarding the establishment of scientific *** also helps in having a better collaboration with governments and *** study aims to investigate the development of research fields over time,translating it into a topic detection ***/methodology/approach:To achieve the objectives,we propose a modified deep clustering method to detect research trends from the abstracts and titles of academic *** embedding approaches are utilized to transform documents into vector-based *** proposed method is evaluated by comparing it with a combination of different embedding and clustering approaches and the classical topic modeling algorithms(***)against a benchmark dataset.A case study is also conducted exploring the evolution of Artificial Intelligence(AI)detecting the research topics or sub-fields in related AI ***:Evaluating the performance of the proposed method using clustering performance indicators reflects that our proposed method outperforms similar approaches against the benchmark *** the proposed method,we also show how the topics have evolved in the period of the recent 30 years,taking advantage of a keyword extraction method for cluster tagging and labeling,demonstrating the context of the *** limitations:We noticed that it is not possible to generalize one solution for all downstream ***,it is required to fine-tune or optimize the solutions for each task and even *** addition,interpretation of cluster labels can be subjective and vary based on the readers’*** is also very difficult to evaluate the labeling techniques,rendering the explanation of the clusters further *** implications:As demonstrated in the case study,we show that in a real-world example,how the proposed method would enable the researchers and

关键词： Dynamics of science Science mapping Document clustering Artificial intelligence Deep learning

Numerical study of the melting of nano-enhanced phase change material in a square cavity

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2013年第5期14卷 307-316页

作者： Seyed sahand SEBTI Mohammad MASTIANI Hooshyar MIRZAEI Abdolrahman DADVAND Sina KASHANI Seyed Amir HOSSEINI Department of Mechanical Engineering Urmia University of TechnologyUrmiaIran Department of Research and Development Delvar Afzar Industrial Gases Co.Ltd.TehranIran Department of Mechanical Engineering Islamic Azad UniversityGorgan BranchKordkoy CenterGolestanIran

A comprehensive numerical study was conducted to investigate heat transfer enhancement during the melting process in a 2D square cavity through dispersion of nanoparticles.A paraffin-based nanofluid containing various volume fractions of Cu was *** governing equations were solved on a non-uniform mesh using a pressure-based finite volume method with an enthalpy porosity technique to trace the solid-liquid *** effects of nanoparticle dispersion in a pure fluid and of some significant parameters,namely nanoparticle volume fraction,cavity size and hot wall temperature,on the fluid flow,heat transfer features and melting time were *** results are presented in terms of temperature and velocity profiles,streamlines,isotherms,moving interface position,solid fraction and dimensionless heat *** suspended nanoparticles caused an increase in thermal conductivity of nano-enhanced phase change material(NEPCM)compared to conventional PCM,resulting in heat transfer enhancement and a higher melting *** addition,the nanofluid heat transfer rate increased and the melting time decreased as the volume fraction of nanoparticles *** higher temperature difference between the melting temperature and the hot wall temperature expedited the melting process of NEPCM.

关键词： Nanofluid Phase change material(PCM) Melting Thermal energy storage Square cavity

Heating-Cooling Monitoring and Power Consumption Forecasting Using LSTM for Energy-Efficient Smart Management of Buildings: A Computational Intelligence Solution for Smart Homes

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Tsinghua Science and Technology 2024年第1期29卷 143-157页

作者： Omid Akbarzadeh sahand Hamzehei Hani Attar Ayman Amer Nazanin Fasihihour Mohammad R.Khosravi Ahmed A.Solyman Department of Electronics and Telecommunications Politecnico di TorinoTurin 10129Italy Department of Energy Engineering Zarqa UniversityZarqa 13110Jordan Shandong Provincial University Laboratory for Protected Horticulture Weifang University of Science and TechnologyWeifang 262799China Department of Electrical and Electronics Engineering Faculty of Engineering and ArchitectureNisantası UniversityIstanbul 25370The Republic of Turkiye

Energy management in smart homes is one of the most critical problems for the Quality of Life(QoL)and preserving energy *** of the relevant issues in this subject is environmental contamination,which threatens the world's *** computing-enabled Artificial Intelligence(Al)algorithms can provide impactful solutions to this *** research proposes using one of the Recurrent Neural Network(RNN)algorithms known as Long Short-Term Memory(LSTM)to comprehend how it is feasible to perform the cloud/fog/edge-enabled prediction of the building's *** parameters of power electricity,power heating,power cooling,and total power in an office/home in cold-climate cities are considered as our features in the *** on the collected data,we evaluate the LSTM approach for forecasting parameters for the next year to predict energy consumption and online monitoring of the model's performance under various *** implementing the Al predictive algorithm,several existing tools are *** results have been generated through simulations,and we find them promisingforfutureapplications.

关键词： design-builder Besos smart cities smart building neural network Long Short-Term Memory(LSTM)

A novel Shan and Chen type Lattice Boltzmann two phase method to study the capillary pressure curves of an oil water pair in a porous media

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Petroleum 2018年第3期4卷 347-357页

作者： sahand Nekoeian Ataallah Soltani Goharrizi Mohammad Jamialahmadi Saeed Jafari Fatemeh Sotoudeh Department of Chemical Engineering College of EngineeringShahid Bahonar University of KermanKermanIran b Department of Petroleum Engineering Petroleum University of TechnologyAhwazIran c Department of Petroleum Engineering College of EngineeringShahid Bahonar University of KermanKermanIran d Department of Gas Engineering Petroleum University of TechnologyAhwazIran

In this study,an immiscible oil-water two phase flow in a typical porous media was modeled using the well-known Lattice Boltzmann method.A set of flow tests for modeling an oil-water two phase flow in the porous media were conducted to generate the capillary pressure curves for two distinctive initial conditions,namely,water and oil dispersed conditions in two domains of different *** on the obtained results,the general trend of these curves has an acceptable agreement with the usual trend of these curves in hydrocarbon reservoirs and the capillary data are independent of the initial ***,the results showed the effect of grid resolution on capillary data which are validated quantitatively by proposing a new approach using Purcell's *** can see that they are compatible with the geometrical characteristics of the porous media as well as the conditions governing the ***,another set of tests for oil water pairs of higher viscosity ratio up to 4.4 was performed in a low porosity heterogeneous porous media and the viscous coupling effect on capillary data,due to viscosity ratio,was studied to strengthen the model validation.

关键词： Immiscible two phase flow Lattice Boltzmann method Shan and Chen model Capillary pressure curves Purcell's equation

Statistical Brainteasers in Algorithms, Counting &Strategy

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Open Journal of Statistics 2014年第4期4卷 278-283页

作者： sahand Rabbani Hossein Shahmohamad Independent Rochester USA School of Mathematical Sciences Rochester Institute of Technology Rochester USA

We present nineteen interesting problems in Strategy and Counting along with their solutions. These problems can be used as challenging and entertaining questions for high school or first-year college students.

关键词： Statistics Counting Strategy

Probability Brainteasers for College Students

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Open Journal of Statistics 2014年第4期4卷 273-277页

作者： sahand Rabbani Hossein Shahmohamad Independent Rochester USA School of Mathematical Sciences Rochester Institute of Technology Rochester USA

We present eleven interesting problems in probability along with their solutions. These problems can be used as challenging and entertaining questions for high school or first-year college students.

关键词： Probability Statistics

Agent-Based Simulation for Interconnection-Scale Renewable Integration and Demand Response Studies

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Engineering 2015年第4期1卷 422-435页

作者： David P.Chassin sahand Behboodi Curran Crawford Ned Djilali Department of Mechanical Engineering University of Victoria Institute for Integrated Energy Systems University of Victoria Pacific Northwest National Laboratory Department of Mechanical Engineering University of Victoria Victoria BC V8W 2Y2 Canada Renewable Energy Research Group King Abdulaziz University

This paper collects and synthesizes the technical requirements, implementation, and validation methods for quasi-steady agent-based simulations of interconnectionscale models with particular attention to the integration of renewable generation and controllable loads. Approaches for modeling aggregated controllable loads are presented and placed in the same control and economic modeling framework as generation resources for interconnection planning studies. Model performance is examined with system parameters that are typical for an interconnection approximately the size of the Western Electricity Coordinating Council(WECC) and a control area about 1/100 the size of the system. These results are used to demonstrate and validate the methods presented.

关键词： interconnection studies demand response load control renewable integration agent-based simulation electricity markets