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Prediction of TBM jamming risk in squeezing grounds using Bayesian and artificial neural networks

Journal of Rock Mechanics and Geotechnical Engineering 2020年第1期12卷 21-31页

作者： Rohola Hasanpour Jamal Rostami Jürgen Schmitt Yilmaz Ozcelik babak Sohrabian Institute for Tunneling and Construction Management Ruhr-University BochumBochumGermany Department of Mining Engineering Colorado School of MinesGoldenUSA Department of Civil Engineering Darmstadt University of Applied ScienceDarmstadtGermany Department of Mining Engineering Hacettepe UniversityAnkaraTurkey Faculty of Mining and Metallurgical Engineering Urmia University of TechnologyUrmiaIran

This study presents an application of artificial neural network(ANN)and Bayesian network(BN)for evaluation of jamming risk of the shielded tunnel boring machines(TBMs)in adverse ground conditions such as squeezing *** analysis is based on database of tunneling cases by numerical modeling to evaluate the ground convergence and possibility of machine *** results of initial numerical analysis were verified in comparison with some case studies.A dataset was established by performing additional numerical modeling of various scenarios based on variation of the most critical parameters affecting shield *** includes compressive strength and deformation modulus of rock mass,tunnel radius,shield length,shield thickness,in situ stresses,depth of over-excavation,and skin friction between shield and *** the dataset,an ANN was trained to predict the contact pressures from a series of ground properties and machine ***,the continuous and discretized BNs were used to analyze the risk of shield *** results of these two different BN methods are compared to the field observations and summarized in this *** developed risk models can estimate the required thrust force in both *** BN models can also be used in the cases with incomplete geological and geomechanical properties.

关键词： Bayesian network(BN) Artificial neural network(ANN) Shielded tunnel boring machine(TBM) Jamming risk Numerical simulation Squeezing ground

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Single-mode output by controlling the spatiotemporal nonlinearities in mode-locked femtosecond multimode fiber lasers

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Advanced Photonics 2020年第5期2卷 84-91页

作者： Ugur Tegin babak Rahmani Eirini Kakkava Demetri Psaltis Christophe Moser Ecole Polytechnique Fédérale de Lausanne Optics LaboratoryLausanneSwitzerland Ecole Polytechnique Fédérale de Lausanne Laboratory of Applied Photonics DevicesLausanneSwitzerland

The performance of fiber mode-locked lasers is limited due to the high nonlinearity induced by the spatial confinement of the single-mode fiber *** massively increase the pulse energy of the femtosecond pulses,amplification is performed outside the ***,spatiotemporal mode-locking has been proposed as a new path to fiber ***,the beam quality was highly multimode,and the calculated threshold pulse energy(>100 nJ)for nonlinear beam self-cleaning was challenging to *** present an approach to reach high energy per pulse directly in the mode-locked multimode fiber oscillator with a near single-mode output *** approach relies on spatial beam self-cleaning via the nonlinear Kerr effect,and we demonstrate a multimode fiber oscillator with M^2<1.13 beam profile,up to 24 nJ energy,and sub-100 fs compressed *** beam self-cleaning is verified both numerically and experimentally for the first time in a mode-locked multimode laser *** reported approach is further power scalable with larger core sized fibers up to a certain level of modal dispersion and could benefit applications that require high-power ultrashort lasers with commercially available optical fibers.

关键词： fiber lasers spatiotemporally mode-locked lasers multimode nonlinear fiber optics

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放射性药物治疗芯片:微流控驱动的数字孪生在个体化癌症治疗中的展望

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科学通报:英文版 2023年第18期68卷 1983-1988页

作者： Hamid Abdollahi babak Saboury Madjid Soltani Kuangyu Shi Carlos Uribe Arman Rahmim Department of Radiology University of British ColumbiaVancouver V5Z 1M9Canada Department of Integrative Oncology BC Cancer Research InstituteVancouver V5Z 1L3Canada Department of Radiology and Imaging Sciences Clinical CenterNational Institutes of HealthBethesda 20892USA Department of Electrical&Computer Engineering University of WaterlooWaterloo N2L 3G1Canada Department of Nuclear Medicine InselspitalBern University HospitalUniversity of BernBern 3010Switzerland Computer Aided Medical Procedures and Augmented Reality Institute of InformaticsTechnical University of MunichMunich 80333Germany Functional Imaging BC CancerVancouver V5Z 4E6Canada Department of Physics&Astronomy University of British ColumbiaVancouver V6T 1Z1Canada

Radiopharmaceutical therapy(RPT)has shown great promise in the treatment of various ***,the current approach is a"one size fits all"model,which results in varied patient responses,and there is a need for personalized RPT(Fig.S1 online).This personalized approach requires a better understanding of the physics,biology,radiobiology,pharmacology,immunology,chemistry,and imaging involved in RPT[1].Multidisciplinary research using experimental,numerical,and simulation platforms would be key to accelerating progress in this area.

关键词：放射性药物癌症治疗微流控

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On the application of artificial bee colony (ABC) algorithm for optimization of well placements in fractured reservoirs;efficiency comparison with the particle swarm optimization (PSO) methodology

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Petroleum 2016年第1期2卷 79-89页

作者： Behzad Nozohour-leilabady babak Fazelabdolabadi Department of Petroleum Engineering International Campus of the University of TehranKish IslandIran Institute of Enhanced Oil Recovery Centre of Exploration and Production Studies and ResearchResearch Institute of Petroleum Industry(RIPI)TehranIran

The application of a recent optimization technique,the artificial bee colony(ABC),was investigated in the context of finding the optimal well *** ABC performance was compared with the corresponding results from the particle swarm optimization(PSO)algorithm,under essentially similar *** of out-of-boundary solution vectors was accomplished via the Periodic boundary condition(PBC),which presumably accelerates convergence towards the global *** searches were initiated from several random staring points,to minimize starting-point dependency in the established *** optimizations were aimed at maximizing the Net Present Value(NPV)objective function over the considered oilfield production *** deal with the issue of reservoir heterogeneity,random permeability was applied via normal/uniform distribution *** addition,the issue of increased number of optimization parameters was address,by considering scenarios with multiple injector and producer wells,and cases with deviated wells in a real reservoir *** typical results prove ABC to excel PSO(in the cases studied)after relatively short optimization cycles,indicating the great premise of ABC methodology to be used for well-optimization purposes.

关键词： Artificial bee colony(ABC) Particle swarm optimization(PSO) Well placement

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Reducing deep learning network structure through variable reduction methods in crop modeling

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Artificial Intelligence in Agriculture 2021年第1期5卷 196-207页

作者： babak Saravi A.Pouyan Nejadhashemi Prakash Jha Bo Tang Department of Biosystems and Agricultural Engineering Michigan State UniversityEast LansingMI 48824USA Department of Plant Soil and Microbial Sciences Michigan State UniversityEast LansingMI 48824USA Feed the Future Innovation Lab for Collaborative Research on Sustainable Intensification Kansas State UniversityManhattanKS 66506USA Department of Electrical and Computer Engineering Mississippi State UniversityMS 39762USA

Crop models are widely used to predict plant growth,water input requirements,and ***,existing models are very complex and require hundreds of variables to perform *** to these shortcomings,large-scale applications of crop models are *** order to address these limitations,reliable crop models were developed using a deep neural network(DNN)–a new approach for predicting crop *** addition,the number of required input variables was reduced using three common variable selection techniques:namely Bayesian variable selection,Spearman's rank correlation,and Principal Component Analysis Feature *** reduced-variableDNN modelswere capable of estimating future crop yields for 10,000,000 differentweather and irrigation scenarios while maintaining comparable accuracy levels to the original model that used all input *** establish clear superiority of the methodology,the results were also compared with a very recent feature selection algorithm called min-redundancy max-relevance(mRMR).The results of this study showed that the Bayesian variable selection was the best method for achieving the aforementioned ***,the final Bayesian-based DNN model with a structure of 10 neurons in 5 layers performed very similarly(78.6%accuracy)to the original DNN cropmodel with 400 neurons in 10 layers,even though the size of the neural network was reduced by *** effort can help promote sustainable agricultural intensifications through the large-scale application of crop models.

关键词： Deep learning Artificial intelligent Variable reduction Crop modeling Yield prediction Irrigation

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Aminobenzenesulfonamide functionalized SBA-15 nanoporous molecular sieve: A new and promising adsorbent for preconcentration of lead and copper ions

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Journal of Environmental Sciences 2012年第7期24卷 1347-1354页

作者： Leila Hajiaghababaei babak Ghasemi Alireza Badiei Hassan Goldooz Mohammad Reza Ganjali Ghodsi Mohammadi Ziarani Department of Chemistry Islamic Azad UniversityShahre Rey Branch School of Chemistry College of ScienceUniversity of Tehran Center of Excellence in Electrochemistry Faculty of ChemistryUniversity of Tehran Department of Chemistry Alzahra University

A rapid method for the extraction and monitoring of nanogram level of Pbz＋ and Cuz＋ ions using uniform silanized mesopor （SBA-15） functionalized with aminobenzenesulfonamide groups and flame atomic absorption spectrometry （FAAS） is presented. Aminobenzenesulfonamide functionalized SBA-15 was synthesized according to procedure in the literature and the presence of organic groups in the silica framework was demonstrated by FT-IR spectra. The functionalized product showed the BET surface area 110 mZ/g and pore diameter 5. l nm, based on adsorption-desorption of N2 at 77 K. The effect of several variables such as （amount of adsorbent, stirring time, pH and presence of other ions in the medium） has been studied. Lead and copper were completely extracted at pH greater than 3 after stirring for 10 min. The maximum capacity of the adsorbent was found to be 191.3 ＋ 1.4 and 155.0 ＋ 1.0 ~xg of lead and copper ions/mg functionalized SBA-15, respectively. The preconcentration factor of the method was found to be 200. The detection limit of the technique was 3.4 and 0.4 ng/mL for Pb2＋ and Cuz＋, respectively. The applications of this methodology for real samples were examined by various water type, black tea and pepper samples.

关键词： aminobenzenesulfonamide functionalized SBA-15 preconcentration Pb2+ and Cu2+ions

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Numerical investigation of hydraulic characteristics and prediction of cavitation number in Shahid Madani Dam’s Spillway

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Journal of Groundwater Science and Engineering 2019年第4期7卷 323-332页

作者： babak Ghazi Rasoul Daneshfaraz Esmaeil Jeihouni Department of Civil Engineering Sofian BranchIslamic Azad UniversitySofianIran Department of Civil Engineering Faculty of EngineeringUniversity of MaraghehMaraghehIran

The prediction of the probability of cavitation occurrence to prevent serious damages in the spillways is the major concern for hydraulic engineers. In this research, the three-dimensional model of Shahid Madani Dam's spillway was simulated with the Flow 3D software and by the comparison of numerical model results with the experi- mental data, the probability of occurrence of the cavitation phenomenon has been investigated. The flow parameters including pressure, velocity, and water depth were calculated for three different flow rates of 495 m3/s, 705 m3/s and 2 205 m3/s respectively. The Renormalization Group (RNG) turbulence model was used to simulate current turbu- lence. Comparison of simulation results for pressure, velocity and water depth with the results of the experimental model with two statistical indices Root Mean Square Error (RMSE) and Coefficient of Determination (R2) showed that the numerical simulation results are in good consistency with experimental model. However, simulation results indicated that at any flow rates with a return period of 1 000 years, probable maximum flood and designed flow rates, the cavitation number is not lower than the critical cavitation number. Therefore, it is predicted that the cavitation phenomenon in Shahid Madani Dam's spillway will not happen.

关键词： Spillway Cavitation index Velocity Water depth Pressure distribution

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Use of Selection Indices Based on Multivariate Analysis for Improving Grain Yield in Rice

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Rice science 2008年第4期15卷 303-310页

作者： Hossein SABOURI babak RABIEI Maryam FAZLALIPOUR Department of Plant Production Gonbad High Education Center Gorgan University of Agricultural Sciences & Natural Resources Department of Agronomy and Plant Breeding Giulan University

In order to study selection indices for improving rice grain yield, a cross was made between an Iranian traditional rice (Oryza sativa L.) variety, Tarommahalli and an improved indica rice variety, Khazar in 2006. The traits of the parents (30 plants), F1 (30 plants) and F2 generations (492 individuals) were evaluated at the Rice Research Institute of Iran (RRII) during 2007. Heritabilities of the number of panicles per plant, plant height, days to heading and panicle exsertion were greater than that of grain yield. The selection indices were developed using the results of multivariate analysis. To evaluate selection strategies to maximize grain yield, 14 selection indices were calculated based on two methods (optimum and base) and combinations of 12 traits with various economic weights. Results of selection indices showed that selection for grain weight, number of panicles per plant and panicle length by using their phenotypic and/or genotypic direct effects (path coefficient) as economic weights should serve as an effective selection criterion for using either the optimum or base index.

关键词： rice (Oryza sativa) optimum index base index path analysis heritability grain yield selection index

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A new route of ferric ions rejection in a synthetic nickel leach solution

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International Journal of Minerals,Metallurgy and Materials 2010年第3期17卷 257-261页

作者： Hai-peng Wang Jing Zhao Wen Liang Yuan Mei babak Houdeh Yuan Tian WA School of Mines ＆ AJ Parker Centre Curtin University of Technology Kalgoorlie WA 6430 Australia Faculty of Science ＆ Engineering East China University of Science and Technology Shanghai 200237 China Department of Mining Engineering The University of Tehran Tehran *** Iran School of Chemical Engineering The University of Adelaide Adelaide SA 5005 Australia

A new route of impurity rejection to remove ferric iron from a synthetic nickel leach solution was introduced, which simulated the chemical composition of a typical acid leach solution of nickel laterites under atmospheric pressure. The synthetic solution underwent a stepwise neutralization process, with each step adopting different pH value-temperature combinations. In a conventional nickel atmospheric leach （AL） process, the nickel loss could be as high as 10wt%, which was a longstanding issue and prevented this process from commercialization. The new impurity rejection route is the first step towards resolving this issue. The results show that, the best neutralization performance is achieved at the nickel loss of 3.4wt% in the neutralization scheme that employs ethylenediaminetetraacetic acid as a nickel stabilizer （pH： 1.3-3.5; temperature： 95-70℃）

关键词： nickel laterite acid leach iron removal impurity rejection neutralization

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Effect of intervention and type of forest management on quality andquantity characteristics of dead wood in managed and reserve forests: Acase study

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Journal of Forestry Research 2012年第3期23卷 413-418页

作者： Kambiz T. Abkenari Fateme Akbari babak Pilehvar Faculty of Natural Resources University of GuilanRashtP. O. BOX:41996-13769Iran Faculty of Agriculture Lorestan UniversityKhoramabadLorestanIran

We compared the dead wood （DW） conditions of Chesh- meh-sar forest and Sardab forest with different management history, including reserve forest and harvested forest. The First forest took 100% inventory from all the available DW. Also dead trees were compared in terms of species, shape, location and quality of fracture in both forests. Volumes of dead wood in Cheshmeh-sar and Sardab forests were 207.47 and 142.74 m3, respectively. Due to this significant difference, impact on the management level was determined. In Cheshmeh-sar forest, 42% of dead trees were standing and 58% were fallen type while in Sardab forest 38.6% were standing and 61.4% fallen. But the difference was not statis- tically significant l^etween them （p = 0.0587）. In terms of quality, dead trees of hard, soft and hollow had the highest frequency, respectively. However, 71.5% of DW was seen as hard dead in Cheshmeh-sar forest while hard dead trees in Sardab forests were 54.2%. Soft quality degree of dead trees which formed in Cheshmeh-sar and Sardab forest were calcu- lated as 26.6% and 43.4% respectively. Also 30% of the dead trees of Sardab forest were eradicated while in Cheshmeh-sar this amount was reduced to 12%. Due to this significant difference （（P=0/018）, it is concluded that the type of management and human interference are affecting the quality of dead trees and makes us to think the human in- terferences could effect on the ecosystem of touched forests.

关键词： dead wood intact forests managed forest reserve forest North of Iran

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