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Overestimate of remediation efficiency due to residual sodium persulfate in PAHs contaminated soil and a solution

Journal of Environmental Sciences 2022年第3期34卷 242-250页

作者： Liping He Jianhao Tong Yuanqiang Yang Jianxun Wu Linqian Li Zhonghua Wei Wei Long Jingli Pang Jiyan Shi Yunnan research Academy of Eco-environmental Sciences Kunming 650034China Department of Environmental engineering College of Environmental and Resource SciencesZhejiang UniversityHangzhou 310058China Beijing Construction engineering group Environmental Remediation Co.Ltd. Beijing 100015China

Oxidation remediation is a commonly used technology for PAHs contaminated soil presently,but the overestimate of efficiency due to ongoing remediation by residual oxidants during extraction and testing has not been paid enough *** this study,persulfate was activated by Fe(Ⅱ)to investigate the effects of residual oxidants on PAHs removal during detection process and the elimination effects of adding Na_(2)SO_(3) and extending sampling time on residual *** verified that the residual oxidants removed PAHs in extraction process,making the results lower than the actual values:the detection recovery rate η of ΣPAHs and 3-6 ring PAHs ranged from 24.3%(25%Na_(2)S_(2)O_(8)treatment)to 87.4%(5%Na_(2)S_(2)O_(8)+4/4Fe^(2+) treatment),20.1%-99.0%,28.9%-87.9%,20.8%-89.4%,and 1.8.6%-76.9%,*** adding Na_(2)SO_(3),the accuracy of detection results increased significantly:the η of ΣPAHs and 3-6 ring PAHs increased to 64.1%-96.5%,58.8%-95.5%,73.8%-114.4%,60.6%-95.6%,and 45.4%-77.1%,*** 49 days of adding oxidants,residual oxidants had no considerable effect on the detection of PAHs,indicating it was appropriate to start soil remediation verification sampling49 days after the remediation was *** observed results will help scientific evaluation of the remediation effects of chemical oxidation on or-ganic contaminated soil.

关键词： Persulfate activation Soil remediation Polycyclic aromatic hydrocarbons Residual oxidant removal

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Abrasive Wear Behaviors of Light-weight Austenitic Fe-24Mn-7Al-1C Steel and Mn13Cr2 Steel

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Journal of Iron and Steel research International 2016年第8期23卷 857-866页

作者： Shi-guang PENG Ren-bo SONG Zhi-dong TAN Chang-hong CAI Ke GUO Zhong-hong WANG School of Materials Science and engineering University of Science and Technology Beijing Beijing 100083China School of Materials Science and engineering University of Science and Technology Liaoning Anshan 117022 Liaoning China Angang group Mining Design and research Institute Anshan 114004 Liaoning China

The impact abrasive wear behaviors of light-weight austenitic Fe-24Mn-7Al-1Csteel with increasing impact wear conditions were studied by comparing with the modified Hadfield（Mn13Cr2）*** tests were performed with the MLD-10 abrasive wear testing *** parameters such as impact energy,impacting frequency and wear time were *** explore the abrasive wear behaviors under different impact energies,the parameters including mass loss,wear resistance and hardness were evaluated in *** microstructures of the steels were further analyzed using optical microscopy（OM）,scanning electron microscopy（SEM）,transmission electron microscopy（TEM）and X-ray diffraction（XRD）.Results showed that the light-weight austenitic Fe-24Mn-7Al-1Csteel had a better wear resistance than Mn13Cr2 steel under the impact energy *** wear resistance of light-weight austenitic Fe-24Mn-7Al-1Csteel was about 1.09-1.17 times as high as that of Mn13Cr2 steel under low and medium impact energy（0.5-2.0J）conditions,and 1.41 times under high impact energy（4.0J）*** Mn13Cr2 steel,the evolution of dislocation substructure with increasing impact energy showed typical stacking fault,interaction of twins and dislocations,as well as mechanical *** high work-hardening rate in Fe-24Mn-7Al-1Csteel was caused by Taylor lattice and high density of dislocation tangles.

关键词： twins dislocation hardness abrasive steels hardening stacking refinement austenite stainless

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Unsupervised Electric Motor Fault Detection by Using Deep Autoencoders

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IEEE/CAA Journal of Automatica Sinica 2019年第2期6卷 441-451页

作者： Emanuele Principi Damiano Rossetti Stefano Squartini Francesco Piazza the Department of Information engineering Università Politecnica delle Marche Loccioni group Angeli di Rosora IEEE

Fault diagnosis of electric motors is a fundamental task for production line testing, and it is usually performed by experienced human operators. In the recent years, several methods have been proposed in the literature for detecting faults automatically. Deep neural networks have been successfully employed for this task, but, up to the authors' knowledge, they have never been used in an unsupervised scenario. This paper proposes an unsupervised method for diagnosing faults of electric motors by using a novelty detection approach based on deep autoencoders. In the proposed method, vibration signals are acquired by using accelerometers and processed to extract LogMel coefficients as features. Autoencoders are trained by using normal data only, i.e., data that do not contain faults. Three different autoencoders architectures have been evaluated: the multilayer perceptron(MLP) autoencoder, the convolutional neural network autoencoder, and the recurrent autoencoder composed of long short-term memory(LSTM) units. The experiments have been conducted by using a dataset created by the authors, and the proposed approaches have been compared to the one-class support vector machine(OC-SVM) algorithm. The performance has been evaluated in terms area under curve(AUC) of the receiver operating characteristic curve, and the results showed that all the autoencoder-based approaches outperform the OCSVM algorithm. Moreover, the MLP autoencoder is the most performing architecture, achieving an AUC equal to 99.11 %.

关键词： Autoencoder convolutional neural networks electric motor fault detection long short-term memory neural networks novelty detection

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State-of-the-Art Review of High-Throughput Statistical Spatial-Mapping Characterization Technology and Its Applications

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engineering 2020年第6期6卷 621-636页

作者： Haizhou Wang Lei Zhao Yunhai Jia Dongling Li Lixi Yang Yuhua Lu Guang Feng Weihao Wan Beijing Advanced Innovation Center for Materials Genome engineering Central Iron and Steel Research InstituteBeijing 100081China Beijing Key Laboratory of Metal Materials Characterization Central Iron and Steel Research InstituteBeijing 100081China NCS testing Technology Co. Ltd.Beijing 100081China

Macroscopic materials are heterogeneous,multi-elementary,and *** material is homogeneous or isotropic at a certain small *** of the material that differ from one another can be termed"natural chips."At different spots on the material,the composition,structure,and properties vary slightly,and the combination of these slight differences establishes the overall material *** article presents a state-of-the-art review of research and applications of high-throughput statistical spatialmapping characterization technology based on the intrinsic heterogeneity within *** statistical spatial-mapping uses a series of rapid characterization techniques for analysis from the macroscopic to the microscopic *** of composition,structure,and properties at each location are obtained rapidly for practical sample *** positional coordinate information and references to a point-to-point correspondence are used to set up a database that contains spatialmapping *** on material research and development design requirements,dataset spatialmapping within required target intervals is selected from the *** analysis can be used to select a suitable design that better meets the targeted *** repeated verification,genetic units that reflect the material properties are *** optimizing process parameters,the assembly of these genetic unit(s)is verified at the mesoscale,and quantitative correlations are established between the microscale,mesoscale,macroscale,practical sample,across-the-scale span composition,structure,and *** high-throughput statistical spatial-mapping characterization technology has been applied to numerous material systems,such as steels,superalloys,galvanization,and ferrosilicon *** approach has guided the composition and the process optimization of various materials.

关键词： Material heterogeneity High-throughput characterization Statistical spatial-mapping Original-position statistical-distribution analysis

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Fast determination of meso-level mechanical parameters of PFC models

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International Journal of Mining Science and Technology 2013年第1期23卷 157-162页

作者： Guo Jianwei Xu Guoan Jing Hongwen Kuang Tiejun School of Safety engineering China University of Mining & Technology Energy and Chemical research Institute of Zhong Ping Shen Ma group State Key Laboratory of Geomechanics and Deep Underground engineering China University of Mining & Technology School of Mechanics and Civil engineering China University of Mining & Technology Sitai Coal Mine Datong Coal Mine Group

To solve the problems of blindness and inefficiency existing in the determination of meso-level mechanical parameters of particle flow code (PFC) models, we firstly designed and numerically carried out orthogonal tests on rock samples to investigate the correlations between macro-and meso-level mechanical parameters of rock-like bonded granular materials. Then based on the artificial intelligent technology, the intelligent prediction systems for nine meso-level mechanical parameters of PFC models were obtained by creating, training and testing the prediction models with the set of data got from the orthogonal tests. Lastly the prediction systems were used to predict the meso-level mechanical parameters of one kind of sandy mudstone, and according to the predicted results the macroscopic properties of the rock were obtained by numerical tests. The maximum relative error between the numerical test results and real rock properties is 3.28% which satisfies the precision requirement in engineering. It shows that this paper provides a fast and accurate method for the determination of meso-level mechanical parameters of PFC models.

关键词： Particle flow code Meso-level mechanical parameter Macroscopic property Orthogonal test Intelligent prediction

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Investigation of the performance of a pilot-scale barrel atmospheric plasma system for plasma activation of polymer particles

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Nanotechnology and Precision engineering 2019年第1期2卷 1-7页

作者： Hisham M.Abourayana Peter J.Dobbyn Pat Whyte Denis P.Dowling Surface engineering group School of Mechanical and Materials Engineering University College Dublin Irish Micro Mouldings Inverin Co.

This study reports the development and performance of a pilot-scale barrel atmospheric plasma reactor for the atmospheric plasma activation treatment of polymer particles. The polymer particles treated included acrylonitrile butadiene styrene(ABS) and polypropylene(PP). These particles had diameters in the range of 3–5 mm. The initial studies were carried out using a laboratory-scale barrel reactor designed to treat polymer particle batch sizes of 20 g. A pilot-scale reactor that could treat 500 g particle batch sizes was then developed to facilitate pre-industrial-scale treatments. The effect of operating pulse density modulation(PDM) in the range 10%–100% and plasma treatment time on the level of activation of the treated polymers were then investigated. ABS revealed a larger decrease in water contact angle compared with PP after plasma treatment under the same conditions. The optimal treatment time of ABS(400 g of polymer particles) in the pilot-scale reactor was 15 min. The plasma-activated polymer particles were used to fabricate dog-bone polymer parts through injection *** testing of the resulting dog-bone polymer parts revealed a 10.5% increase in tensile strength compared with those fabricated using non-activated polymer particles.

关键词： Atmospheric pressure plasma Barrel plasma reactor Polymer particles Water contact angle X-ray photoelectron spectroscopy Injection moulding

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Predicting and validating the load-settlement behavior of large-scale geosynthetic-reinforced soil abutments using hybrid intelligent modeling

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Journal of Rock Mechanics and Geotechnical engineering 2023年第3期15卷 773-788页

作者： Muhammad Nouman Amjad Raja Syed Taseer Abbas Jaffar Abidhan Bardhan Sanjay Kumar Shukla Department of Civil engineering School of EngineeringUniversity of Management and TechnologyLahorePakistan Department of Civil engineering National Institute of Technology(NIT)PatnaPatnaBihar800005India Geotechnical and Geoenvironmental research group School of EngineeringEdith Cowan UniversityJoondalupPerthAustralia Department of Civil engineering Delhi Technological UniversityDelhiIndia

Settlement prediction of geosynthetic-reinforced soil(GRS)abutments under service loading conditions is an arduous and challenging task for practicing geotechnical/civil ***,in this paper,a novel hybrid artificial intelligence(AI)-based model was developed by the combination of artificial neural network(ANN)and Harris hawks’optimisation(HHO),that is,ANN-HHO,to predict the settlement of the GRS *** other robust intelligent models such as support vector regression(SVR),Gaussian process regression(GPR),relevance vector machine(RVM),sequential minimal optimisation regression(SMOR),and least-median square regression(LMSR)were constructed and compared to the ANN-HHO *** predictive strength,relalibility and robustness of the model were evaluated based on rigorous statistical testing,ranking criteria,multi-criteria approach,uncertainity analysis and sensitivity analysis(SA).Moreover,the predictive veracity of the model was also substantiated against several large-scale independent experimental studies on GRS abutments reported in the scientific *** acquired findings demonstrated that the ANN-HHO model predicted the settlement of GRS abutments with reasonable accuracy and yielded superior performance in comparison to counterpart ***,it becomes one of predictive tools employed by geotechnical/civil engineers in preliminary decision-making when investigating the in-service performance of GRS ***,the model has been converted into a simple mathematical formulation for easy hand calculations,and it is proved cost-effective and less time-consuming in comparison to experimental tests and numerical simulations.

关键词： Geosynthetic-reinforced soil(GRS) abutments Settlement estimation Predictive modeling Artificial intelligence(AI) Artificial neural network(ANN)-Harris hawks’optimisation(HHO)

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Explainable Rules and Heuristics in AI Algorithm Recommendation Approaches——A Systematic Literature Review and Mapping Study

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Computer Modeling in engineering & Sciences 2023年第8期136卷 1023-1051页

作者： Francisco JoséGarcía-Penlvo Andrea Vázquez-Ingelmo Alicia García-Holgado GRIAL research group Computer Science DepartmentUniversity of SalamancaSalamanca37008Spain

The exponential use of artificial intelligence(AI)to solve and automated complex tasks has catapulted its popularity generating some challenges that need to be *** AI is a powerfulmeans to discover interesting patterns and obtain predictive models,the use of these algorithms comes with a great responsibility,as an incomplete or unbalanced set of training data or an unproper interpretation of the models’outcomes could result in misleading conclusions that ultimately could become very *** these reasons,it is important to rely on expert knowledge when applying these ***,not every user can count on this specific expertise;non-AIexpert users could also benefit from applying these powerful algorithms to their domain problems,but they need basic guidelines to obtain themost out of AI *** goal of this work is to present a systematic review of the literature to analyze studies whose outcomes are explainable rules and heuristics to select suitable AI algorithms given a set of input *** systematic review follows the methodology proposed by Kitchenham and other authors in the field of software *** a result,9 papers that tackle AI algorithmrecommendation through tangible and traceable rules and heuristics were *** reduced number of retrieved papers suggests a lack of reporting explicit rules and heuristics when testing the suitability and performance of AI algorithms.

关键词： SLR systematic literature review artificial intelligence machine learning algorithm recommendation heuristics explainability

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Fracture evolution characteristics of sandstone containing double fissures and a single circular hole under uniaxial compression

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International Journal of Mining Science and Technology 2017年第3期27卷 499-505页

作者： Chen Minliang Jing Hongwen Ma Xiujun Su Haijian Du Mingrui Zhu Tantan State Key Laboratory for Geomechanics and Deep Underground engineering China University of Mining & Technology Xuzhou 221116 China Tianjin Traffic Science research Institute Tianjin 300074 China JSTI group Nanfing 210000 China

The uniaxial compression experiments on the sandstone samples containing double fissures and a single circular hole were carried out by using electro-hydraulic servo universal testing machine to investigate the effect of rock bridge angle β and fissure angle α on mechanical properties and evolution characteristics of *** results show that the peak strength,peak strain and elastic modulus of defected specimens decrease comparing with those for intact sample,and show a decreased trend firstly and then increase with β changing from 0° to 90°.The peak strength and elastic modulus achieve the minimum value as the rock bridge angle is 60°,while the peak strain reaches the minimum value with the rock bridge angle of 45°.The crack initiation of tested rock samples occurs firstly in stress concentration areas at tips of prefabricated fissures under uniaxial compression,and then propagates constantly and coalescences with the prefabricated *** secondary cracks initiate and propagate as well until buckling failure *** rock bridge angle has a great influence on crack initiation,coalescence,final failure mode,crack initiation stress and transfixion *** peak strength varies significantly,while the elastic modulus and peak strain change slightly,and the failure modes are also different due to the influence of fissure angle.

关键词： Double fissures A single circular hole Strength characteristics Crack propagation Failure mode

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3D bioprinting of in vitro porous hepatoma models:establishment,evaluation,and anticancer drug testing

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Bio-Design and Manufacturing 2024年第2期7卷 137-152页

作者： Xiaoyuan Wang Zixian Liu Qianqian Duan Boye Zhang Yanyan Cao Zhizhong Shen Meng Li Yanfeng Xi Jianming Wang Shengbo Sang Shanxi Key Laboratory of Micro Nano Sensors and Artificial Intelligence Perception College of Electronic Information and Optical EngineeringTaiyuan University of TechnologyTaiyuan 030024China Key Lab of Advanced Transducers and Intelligent Control System of the Ministry of Education Taiyuan University of TechnologyTaiyuan 030024China Shanxi Institute of 6D Artificial Intelligence Biomedical Science Taiyuan 030031China Shanxi-Zheda Institute of Advanced Materials and Chemical engineering Taiyuan 030024China Department of Pathology Shanxi Provincial Cancer HospitalTaiyuan 030024China General Hospital of Taiyuan Iron and Steel Company Taiyuan 030809China

Traditional tumor models do not tend to accurately simulate tumor growth in vitro or enable personalized treatment and are particularly unable to discover more beneficial targeted *** address this,this study describes the use of threedimensional(3D)bioprinting technology to construct a 3D model with human hepatocarcinoma SMMC-7721 cells(3DP-7721)by combining gelatin methacrylate(GelMA)and poly(ethylene oxide)(PEO)as two immiscible aqueous phases to form a bioink and innovatively applying fluorescent carbon quantum dots for long-term tracking of *** GelMA(10%,mass fraction)and PEO(1.6%,mass fraction)hydrogel with 3:1 volume ratio offered distinct pore-forming characteristics,satisfactorymechanical properties,and biocompatibility for the creation of the 3DP-7721 *** analysis and quantitative real-time fluorescence polymerase chain reaction(PCR)were used to evaluate the biological properties of the *** with the two-dimensional culture cell model(2D-7721)and the 3D mixed culture cell model(3DM-7721),3DP-7721 significantly improved the proliferation of cells and expression of tumor-related proteins and ***,we evaluated the differences between the three culture models and the effectiveness of antitumor drugs in the three models and discovered that the efficacy of antitumor drugs varied because of significant differences in resistance proteins and genes between the three *** addition,the comparison of tumor formation in the three models found that the cells cultured by the 3DP-7721 model had strong tumorigenicity in nude *** evaluation of the levels of biochemical indicators related to the formation of solid tumors showed that the 3DP-7721 model group exhibited pathological characteristics of malignant tumors,the generated solid tumors were similar to actual tumors,and the deterioration was *** research therefore acts as a foundation for the application of 3DP-7721 models in drug devel

关键词： 3D bioprinting Hepatoma tumor models Drug screening Antitumor drug development

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