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Numerical finite element analysis of laterally loaded fin pile in sandy soil
, Article Innovative Infrastructure Solutions ; Volume 4, Issue 1 , 2019 ; 23644176 (ISSN) ; Hanaei, F ; Fazel Mojtahedi, S. F ; Rezaee, M ; Sharif University of Technology
Springer
2019
Abstract
In the present study, the behavior of fin pile under lateral loading was investigated by ABAQUS software. First, the generated model was verified against an available experimental small-scale test in the literature. Having conducted verification, a study was carried out on the fin pile dimensions under lateral loading. Different parameters, such as pile diameter, fin’s length, and width, were studied. Moreover, a study on the fin’s aspect ratio by setting fin’s area constant was conducted, and then, optimum fin’s ratio was obtained. The results indicated that both fin’s length and width could improve pile efficiency under lateral loading, yet fin’s length had a more critical impact, and...
Proposing a new model to approximate the elasticity modulus of granite rock samples based on laboratory tests results
, Article Bulletin of Engineering Geology and the Environment ; 2017 , Pages 1-10 ; 14359529 (ISSN) ; Esfandi Sarafraz, M ; Hasanipanah, M ; Mojtahedi, S. F. F ; Tahir, M. M ; Sharif University of Technology
2017
Abstract
An accurate examination of deformability of rock samples in response to any change in stresses is deeply dependent on the reliable determination of properties of the rock as analysis inputs. Although Young’s modulus (E) can provide valuable characteristics of the rock material deformation, the direct determination of E is considered a time-consuming and complicated analysis. The present study is aimed to introduce a new hybrid intelligent model to predict the E of granitic rock samples. Hence, a series of granitic block samples were collected from the face of a water transfer tunnel excavated in Malaysia and transferred to laboratory to conduct rock index tests for E prediction. Rock index...
Proposing a new model to approximate the elasticity modulus of granite rock samples based on laboratory tests results
, Article Bulletin of Engineering Geology and the Environment ; Volume 78, Issue 3 , 2019 , Pages 1527-1536 ; 14359529 (ISSN) ; Esfandi Sarafraz, M ; Hasanipanah, M ; Mojtahedi, S. F. F ; Tahir, M. M ; Sharif University of Technology
Springer Verlag
2019
Abstract
An accurate examination of deformability of rock samples in response to any change in stresses is deeply dependent on the reliable determination of properties of the rock as analysis inputs. Although Young’s modulus (E) can provide valuable characteristics of the rock material deformation, the direct determination of E is considered a time-consuming and complicated analysis. The present study is aimed to introduce a new hybrid intelligent model to predict the E of granitic rock samples. Hence, a series of granitic block samples were collected from the face of a water transfer tunnel excavated in Malaysia and transferred to laboratory to conduct rock index tests for E prediction. Rock index...
An Artificial Intelligence Based Data-Driven Method for Forecasting Unconfined Compressive Strength of Cement Stabilized Soil by Deep Mixing Technique
, Article Geotechnical and Geological Engineering ; Volume 41, Issue 1 , 2023 , Pages 491-514 ; 09603182 (ISSN) ; Ahmadihosseini, A ; Sadeghi, H ; Sharif University of Technology
Springer Science and Business Media Deutschland GmbH
2023
Abstract
The cost constraints imposed on construction projects specially ground improvements by the deep mixing technique (DMT) highlight the role of efficient optimization. In this study, a systematic artificial neural network (ANN)-based method to address this practical issue is presented. To achieve this goal, the mutual information method is firstly used to select the most important input parameters for training. Secondly, different ANN architectures are examined to find the network with the smallest error by training and optimizing several multi-layer perceptron networks using a grid search-based technique. The model is then generalized by employing the K-fold and Hold-out cross-validation...
A novel probabilistic simulation approach for forecasting the safety factor of slopes: a case study
, Article Engineering with Computers ; 2018 , Pages 1-10 ; 01770667 (ISSN) ; Tabatabaee, S ; Ghoroqi, M ; Soltani Tehrani, M ; Gordan, B ; Ghoroqi, M ; Sharif University of Technology
Springer London
2018
Abstract
Stabilization of slopes is considered as the aim of the several geotechnical applications such as embankment, tunnel, highway, building and railway and dam. Therefore, evaluation and precise prediction of the factor of safety (FoS) of slopes can be useful in designing these important structures. This research is carried out to evaluate the ability of Monte Carlo (MC) technique for the forecasting the FoS of many homogenous slopes in the static condition. Moreover, the sensitivity of the FoS on the effective parameters was identified. To do this, the most important factors on FoS, such as angle of internal friction (Formula presented.), slope angle (Formula presented.) and cohesion (Formula...
A novel probabilistic simulation approach for forecasting the safety factor of slopes: a case study
, Article Engineering with Computers ; Volume 35, Issue 2 , 2019 , Pages 637-646 ; 01770667 (ISSN) ; Tabatabaee, S ; Ghoroqi, M ; Soltani Tehrani, M ; Gordan, B ; Ghoroqi, M ; Sharif University of Technology
Springer London
2019
Abstract
Stabilization of slopes is considered as the aim of the several geotechnical applications such as embankment, tunnel, highway, building and railway and dam. Therefore, evaluation and precise prediction of the factor of safety (FoS) of slopes can be useful in designing these important structures. This research is carried out to evaluate the ability of Monte Carlo (MC) technique for the forecasting the FoS of many homogenous slopes in the static condition. Moreover, the sensitivity of the FoS on the effective parameters was identified. To do this, the most important factors on FoS, such as angle of internal friction (∅) , slope angle (α) and cohesion (C) were investigated and used as the...
Proposing a novel hybrid intelligent model for the simulation of particle size distribution resulting from blasting
, Article Engineering with Computers ; 2018 , Pages 1-10 ; 01770667 (ISSN) ; Ebtehaj, I ; Hasanipanah, M ; Bonakdari, H ; Bakhshandeh Amnieh, H ; Sharif University of Technology
Springer London
2018
Abstract
In the open-pit mines and civil projects, drilling and blasting is the most common method for rock fragmentation aims. This article proposes a new hybrid forecasting model based on firefly algorithm, as an algorithm optimizer, combined with the adaptive neuro-fuzzy inference system for estimating the fragmentation. In this regard, 72 datasets were collected from Shur river dam region, and the required parameters were measured. Using the different input parameters, six hybrid models were constructed. In these models, 58 and 14 data were used for training and testing, respectively. The proposed hybrid models were then evaluated in accordance with statistical criteria such as coefficient of...
Proposing a novel hybrid intelligent model for the simulation of particle size distribution resulting from blasting
, Article Engineering with Computers ; Volume 35, Issue 1 , 2019 , Pages 47-56 ; 01770667 (ISSN) ; Ebtehaj, I ; Hasanipanah, M ; Bonakdari, H ; Bakhshandeh Amnieh, H ; Sharif University of Technology
Springer London
2019
Abstract
In the open-pit mines and civil projects, drilling and blasting is the most common method for rock fragmentation aims. This article proposes a new hybrid forecasting model based on firefly algorithm, as an algorithm optimizer, combined with the adaptive neuro-fuzzy inference system for estimating the fragmentation. In this regard, 72 datasets were collected from Shur river dam region, and the required parameters were measured. Using the different input parameters, six hybrid models were constructed. In these models, 58 and 14 data were used for training and testing, respectively. The proposed hybrid models were then evaluated in accordance with statistical criteria such as coefficient of...
Microwave-assisted aminomethylation of electron-rich compounds under solvent-free condition
, Article Synthetic Communications ; Volume 30, Issue 1 , 2000 , Pages 69-72 ; 00397911 (ISSN) ; Sharifi, A ; Mohsenzadeh, F ; Saidi, M. R ; Sharif University of Technology
Marcel Dekker Inc
2000
Abstract
Electron-rich aromatic compounds react with formaldehyde and a secondary amine under solvent-free condition, in the presence of acidic alumina in a commercial microwave oven or at room temperature to produce aminomethylated products in good to excellent yields
Innovative overview of SWRC application in modeling geotechnical engineering problems
, Article Designs ; Volume 6, Issue 5 , 2022 ; 24119660 (ISSN) ; Fazel Mojtahedi, F ; Azizi, S ; Mahdi, H. A ; Ramani Sujatha, E ; Ebid, A. M ; Golaghaei Darzi, A ; Aneke, F. I ; Sharif University of Technology
MDPI
2022
Abstract
The soil water retention curve (SWRC) or soil–water characteristic curve (SWCC) is a fundamental feature of unsaturated soil that simply shows the relationship between soil suction and water content (in terms of the degree of saturation and volumetric or gravimetric water content). In this study, the applications of the SWRC or SWCC have been extensively reviewed, taking about 403 previously published research studies into consideration. This was achieved on the basis of classification-based problems and application-based problems, which solve the widest array of geotechnical engineering problems relevant to and correlating with SWRC geo-structural behavior. At the end of the exercises, the...
Damage Identification in Reinforced Concrete Beams Using Wavelet Transform of Modal Excitation Responses
, Article Buildings ; Volume 13, Issue 8 , 2023 ; 20755309 (ISSN) ; Jahangir, H ; Rashidi, M ; Fazel Mojtahedi, F ; Bahrami, M ; Javanmardi, A ; Sharif University of Technology
Multidisciplinary Digital Publishing Institute (MDPI)
2023
Abstract
This study focuses on identifying damage in reinforced concrete (RC) beams using time-domain modal testing and wavelet analysis. A numerical model of an RC beam was used to generate various damage scenarios with different severities and locations. Acceleration time histories were recorded for both damaged and undamaged structures. Two damage indices, DI_MW and DI_SW, derived from the wavelet analysis, were employed to determine the location and severity of the damage. The results showed that different wavelet families and specific mother wavelets had varying effectiveness in detecting damage. The Daubechies wavelet family (db2, db6, and db9) detected damage at the center and sides of the RC...
Solving large deformation problems in geotechnical and geo-environmental engineering with the smoothed particle hydrodynamics: a state-of-the-art review of constitutive solutions
, Article Environmental Earth Sciences ; Volume 82, Issue 17 , 2023 ; 18666280 (ISSN) ; Fazel Mojtahedi, F ; Golaghaei Darzi, A ; Kontoni, D. P. N ; Sharif University of Technology
Springer Science and Business Media Deutschland GmbH
2023
Abstract
Coupled fluid–solid phase continuum problems associated with large deformation as geotechnics experts encounter in slope stability problems have been extensively reviewed. This has been done with a view to exploring the most efficient numerical approach to solving them for the sake of our environment. Decades ago, analytical solutions known as the limit equilibrium methods (LEM), e.g., Navier–Stokes and the likes were celebrated with the level of mathematical solutions they offered. To overcome the limitations of the LEM in handling more complex slope failure problems, numerical solutions were born, which solved these problems by method of mesh discretization. However, mesh discretization...
Assessing the vulnerability of Iran to subsidence hazard using a hierarchical FUCOM-GIS framework
, Article Remote Sensing Applications: Society and Environment ; Volume 31 , 2023 ; 23529385 (ISSN) ; Golaghaei Darzi, A ; Voosoghi, B ; Akbari Garakani, A ; Ghorbani, Z ; Fazel Mojtahedi, F ; Sharif University of Technology
Elsevier B.V
2023
Abstract
In engineering practice, land subsidence is considered a threat to the infrastructure and lifelines massively distributed globally. In this study, a combined methodology of full consistency decision-making (FUCOM) and the geographical information system (GIS) was employed to assess the vulnerability of Iran to subsidence. Accordingly, a new hierarchical FUCOM-GIS framework was developed. The FUCOM was first used to evaluate the weight of various causative factors. Afterward, the GIS was employed to superimpose several layers to produce a land subsidence susceptibility map (LSSM) of Iran. The results revealed water stress, groundwater depletion, soil type, geological time scale, and rainfall...
Pressure leaching of chalcopyrite concentrate with oxygen and kinetic study on the process in sulfuric acid solution
, Article Transactions of the Indian Institute of Metals ; Volume 73, Issue 4 , 6 March , 2020 , Pages 975-987 ; Rasouli, S ; Yoozbashizadeh, H ; Sharif University of Technology
Springer
2020
Abstract
In this research work, the pressure leaching of chalcopyrite concentrate with oxygen was studied. Experiments were carried out under conditions of the solid–liquid ratio of 0.1, agitation speed of 750 rpm, and sulfuric acid concentration of 2 M in a stainless-steel autoclave system under 0.6 to 1 MPa oxygen gas. Central composite design was used to design experiments, and three factors of temperature, time, and oxygen pressure were selected as the design variables. A linear model for %Cu and a quadratic model for %Fe were proposed by Minitab Software. The results showed that temperature is the most effective factor in chalcopyrite leaching. Under optimal conditions, 93.08% of copper with the...
An imperialist competitive algorithm approach for multi-objective optimization of direct coupling photovoltaic-electrolyzer systems
, Article International Journal of Hydrogen Energy ; Vol. 39, Issue 33 , 11 November , 2014 , pp. 18743-18757 ; ISSN: 03603199 ; Sayedin, F ; Khavas, S. S
2014
Abstract
In the context of sustainable clean hydrogen production pathways, photovoltaic-electrolyzer systems are one of the most promising alternatives for acquiring hydrogen from renewable energy sources. In fact, determining the optimal set of design and operating variables are always a key issue while coupling directly renewable electricity sources to PEM electrolyzers. Few previous studies have attempted to find the optimal size and operational condition of directly coupled photovoltaic-electrolyzer (PV/El) systems in order to maximize the hydrogen production or to minimize energy transfer loss between photovoltaic devices and the electrolyzer. Nevertheless an easy and efficient approach still...
Comparison between two different hemichromes of hemoglobins (HbA and HbS) induced by n-dodecyl trimethylammonium bromide: Chemometric study
, Article Colloids and Surfaces B: Biointerfaces ; Volume 63, Issue 2 , 2008 , Pages 183-191 ; 09277765 (ISSN) ; Parastar, H ; Jalali Heravi, M ; Chamani, J ; Chilaka, F. C ; Moosavi Movahedi, A. A ; Sharif University of Technology
2008
Abstract
The interaction of n-dodecyl trimethylammonium bromide (DTAB) with oxyhemoglobin A and oxyhemoglobin S is investigated using UV-visible absorption spectra and chemometric resolution techniques. Oxyhemoglobins (A and S) induced to partial oxidized form (ferrihemoglobin) by DTAB and finally transform to fully oxidized hemichrome. Hemichrome mole fractions of HbS are more than HbA because of more hydrophobic interaction of DTAB-HbS in second set of binding site relative to DTAB-HbA. The visible spectra between 500 and 650 nm are used for identifying the present components in solution because each species of hemoglobin has a specific spectrum in this region. The number of components and mole...
Optimisation of deep mixing technique by artificial neural network based on laboratory and field experiments
, Article Georisk ; Volume 14, Issue 2 , 2020 , Pages 142-157 ; Mojtahedi, S. F. F ; Sadeghi, H ; Sharif University of Technology
Taylor and Francis Ltd
2020
Abstract
Ground improvement techniques are inevitable for weak soils that cannot endure the design load imposed by superstructures. Deep mixing technique (DMT) as one of these methods is promising and effective when a deep soil layer with low bearing capacity is encountered. Such deposits are quite common in the South-west of Iran where the studied site is located. In order to validate the influence of DMT on the enhancement of strength, both in-situ and laboratory tests were conducted. Afterwards, a parametric study was carried out to investigate the influence of key factors including cement content, water–cement ratio, curing time and plasticity index (PI) on the performance of DMT. In summary, a...
Optimisation of deep mixing technique by artificial neural network based on laboratory and field experiments
, Article Georisk ; 2019 ; 17499518 (ISSN) ; Mojtahedi, S. F. F ; Sadeghi, H ; Sharif University of Technology
Taylor and Francis Ltd
2019
Abstract
Ground improvement techniques are inevitable for weak soils that cannot endure the design load imposed by superstructures. Deep mixing technique (DMT) as one of these methods is promising and effective when a deep soil layer with low bearing capacity is encountered. Such deposits are quite common in the South-west of Iran where the studied site is located. In order to validate the influence of DMT on the enhancement of strength, both in-situ and laboratory tests were conducted. Afterwards, a parametric study was carried out to investigate the influence of key factors including cement content, water–cement ratio, curing time and plasticity index (PI) on the performance of DMT. In summary, a...
Voltage balancing of series IGBTs in short-circuit conditions
, Article IEEE Transactions on Power Electronics ; Volume 37, Issue 5 , 2022 , Pages 5675-5686 ; 08858993 (ISSN) ; Peyghami, S ; Iannuzzo, F ; Blaabjerg, F ; Kaboli, S ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2022
Abstract
This article proposes a scheme for balancing the voltage of series-connected insulated gate bipolar transistors (IGBTs), which is also very effective under short-circuit conditions. An optimized clamp-mode snubber is proposed, including an active-driver to balance the currents of the IGBTs during short-circuit, which in turn allows for a considerable reduction of the snubber capacitance. The approach is proven to be effective under short-circuit conditions by a maximum of 55 V voltage increment and a negligible difference in the current values. The effectiveness of the proposed approach is demonstrated through simulations in PSPICE software and experimental tests performed at 2 kV. ©...
A neuro-optimal approach for thrust-insensitive trajectory planning
, Article Aircraft Engineering and Aerospace Technology ; Volume 81, Issue 3 , 2009 , Pages 212-220 ; 00022667 (ISSN) ; Pazooki, F ; Noushabadi, F ; Sharif University of Technology
2009
Abstract
Purpose - The purpose of this paper is to devise a new approach to synthesize closed-loop feedback guidance law for online thrust- insensitive optimal trajectory generation utilizing neural networks. Design/methodology/approach - The proposed methodology utilizes an open- loop variational formulation that initially determines optimal launch/ ascent trajectories for various scenarios of known uncertainties in the thrust profile of typical solid propellant engines. These open-loop optimized trajectories will then provide the knowledge base needed for the subsequent training of a neural network. The trained network could eventually produce thrust-insensitive closed-loop optimal guidance laws...