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A deep neural network based surrogate model for damage identification in full-scale structures with incomplete noisy measurements

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Frontiers of Structural and Civil Engineering 2024年第3期18卷 393-410页

作者： tram BUI-NGOC Duy-Khuong LY tam t truong Chanachai tHONGCHOM t.NGUYEN-tHOI Laboratory for Computational Mechanics Institute for Computational Science and Artificial IntelligenceVan Lang UniversityHo Chi Minh City 70000Vietnam Faculty of Mechanical-Electrical and Computer Engineering School of TechnologyVan Lang UniversityHo Chi Minh City 70000Vietnam Faculty of Civil Engineering School of TechnologyVan Lang UniversityHo Chi Minh City 70000Vietnam Department of Computer Science Aarhus UniversityAarhus 8000Denmark thammasat University research unit in structural and foundation engineering Department of Civil EngineeringThammasat UniversityPathumthani 12120Thailand Laboratory for Applied and Industrial Mathematics Institute for Computational Science and Artificial IntelligenceVan Lang UniversityHo Chi Minh City 70000Vietnam thammasat School of Engineering Thammasat UniversityPathumthani 12120Thailand

the paper introduces a novel approach for detecting structural damage in full-scale structures using surrogate models generated from incomplete modal data and deep neural networks(DNNs).A significant challenge in this field is the limited availability of measurement data for full-scale structures,which is addressed in this paper by generating data sets using a reduced finite element(FE)model constructed by SAP2000 software and the MAtLAB programming *** surrogate models are trained using response data obtained from the monitored structure through a limited number of measurement *** proposed approach involves training a single surrogate model that can quickly predict the location and severity of damage for all potential *** achieve the most generalized surrogate model,the study explores different types of layers and hyperparameters of the training algorithm and employs state-of-the-art techniques to avoid overfitting and to accelerate the training *** approach’s effectiveness,efficiency,and applicability are demonstrated by two numerical *** study also verifies the robustness of the proposed approach on data sets with sparse and noisy measured ***,the proposed approach is a promising alternative to traditional approaches that rely on FE model updating and optimization algorithms,which can be computationally *** approach also shows potential for broader applications in structural damage detection.

关键词： vibration-based damage detection deep neural network full-scale structures finite element model updating noisy incomplete modal data

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Optimization of buckling load for laminated composite plates using adaptive Kriging-improved PSO:A novel hybrid intelligent method

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Defence technology（防务技术） 2021年第1期17卷 85-99页

作者： Behrooz Keshtegar trung Nguyen-thoi tam t.truong Shun-Peng Zhu School of Mechanical and Electrical Engineering University of Electronic Science and Technology of ChinaChengdu611731China Department of Civil Engineering Faculty of EngineeringUniversity of ZabolP.B.***ZabolIran Division of Computational Mathematics and Engineering Institute for Computational ScienceTon Duc Thang UniversityHo Chi Minh CityViet Nam Faculty of Civil Engineering Ton Duc Thang UniversityHo Chi Minh CityViet Nam

An effective hybrid optimization method is proposed by integrating an adaptive Kriging(A-Kriging)into an improved partial swarm optimization algorithm(IPSO)to give a so-called A-Kriging-IPSO for maximizing the buckling load of laminated composite plates(LCPs)under uniaxial and biaxial *** this method,a novel iterative adaptive Kriging model,which is structured using two training sample sets as active and adaptive points,is utilized to directly predict the buckling load of the LCPs and to improve the efficiency of the optimization *** active points are selected from the initial data set while the adaptive points are generated using the radial random-based convex *** cell-based smoothed discrete shear gap method(CS-DSG3)is employed to analyze the buckling behavior of the LCPs to provide the response of adaptive and input data *** buckling load of the LCPs is maximized by utilizing the IPSO *** demonstrate the efficiency and accuracy of the proposed methodology,the LCPs with different layers(2,3,4,and 10 layers),boundary conditions,aspect ratios and load patterns(biaxial and uniaxial loads)are *** results obtained by proposed method are in good agreement with the literature results,but with less computational *** applying adaptive radial Kriging model,the accurate optimal resultsebased predictions of the buckling load are obtained for the studied LCPs.

关键词： Adaptive kriging Laminated composite plates Buckling optimization Smooth finite element methods Cell-based smoothed discrete shear gap method(CS-DSG3) Improved PSO

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A deep feed-forward neural network for damage detection in functionally graded carbon nanotube-reinforced composite plates using modal kinetic energy

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Frontiers of Structural and Civil Engineering 2021年第6期15卷 1453-1479页

作者： Huy Q.LE tam t.truong D.DINH-CONG t.NGUYEN-tHOI Division of Computational Mathematics and Engineering Institute for Computational ScienceTon Duc Thang UniversityHo Chi Minh City 700000Vietnam Faculty of Civil Engineering Ho Chi Minh City University of TransportHo Chi Minh City 700000Vietnam Division of Construction Computation Institute for Computational ScienceTon Duc Thang UniversityHo Chi Minh City 700000Vietnam Faculty of Civil Engineering Ton Duc Thang UniversityHo Chi Minh City 700000Vietnam

this paper proposes a new Deep Feed-forward Neural Network(DFNN)approach for damage detection in functionally graded carbon nanotube-reinforced composite(FG-CNtRC)*** the proposed approach,the DFNN model is developed based on a data set containing 20000 samples of damage scenarios,obtained via finite element(FE)simulation,of the FG-CNtRC *** elemental modal kinetic energy(MKE)values,calculated from natural frequencies and translational nodal displacements of the structures,are utilized as input of the DFNN model while the damage locations and corresponding severities are considered as *** state-of-the art Exponential Linear Units(ELU)activation function and the Adamax algorithm are employed to train the DFNN ***,in order to enhance the performance of the DFNN model,the mini-batch and early-stopping techniques are applied to the training process.A trial-and-error procedure is implemented to determine suitable parameters of the network such as the number of hidden layers and the number of neurons in each *** accuracy and capability of the proposed DFNN model are illustrated through two distinct configurations of the CNt-fibers constituting the FG-CNtRC plates including uniform distribution(UD)and functionally graded-V distribution(FG-VD).Furthermore,the performance and stability of the DFNN model with the consideration of noise effects on the input data are also *** results indicate that the proposed DFNN model is able to give sufficiently accurate damage detection outcomes for the FG-CNtRC plates for both cases of noise-free and noise-influenced data.

关键词： damage detection deep feed-forward neural networks functionally graded carbon nanotube-reinforced composite plates modal kinetic energy

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tungsten-based nanocatalysts with different structures for visible light responsive photocatalytic degradation of bisphenol A

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Journal of Environmental Sciences 2024年第5期139卷 569-588页

作者： Hai Bang truong thi thu Loan Doan Nguyen tien Hoang Nguyen Van tam Minh Kim Nguyen Le Gia trung Jin Seog Gwag Nguyen tien tran Optical Materials Research Group Science and Technology Advanced InstituteVan Lang UniversityHo Chi Minh CityViet Nam Faculty of Applied technology School of TechnologyVan Lang UniversityHo Chi Minh CityViet Nam the University of Da Nang University of Science and Technology54 Nguyen Luong BangDa NangViet Nam the University of Da Nang University of Science and Education459 Ton Duc Thang St.Lien ChieuDa Nang 550000Viet Nam Institute of Veterinary Science and technology 31ha zoneTrau QuyGia LamHa Noi 12400Viet Nam Department of Physics Yeungnam UniversityGyeongsanGyeongbuk 38541Republic of Korea Center for Advanced Chemistry Institute of Research and DevelopmentDuy Tan University03 Quang TrungDa Nang 550000Viet Nam Faculty of Natural Sciences Duy Tan University03 Quang TrungDa Nang 550000Viet Nam

Environmental pollution,such as water contamination,is a critical issue that must be absolutely ***,three different morphologies of tungsten-based photocatalysts(WO_(3)nanorods,WO_(3)/WS_(2)nanobricks,WO_(3)/WS_(2)nanorods)are made using a simple hydrothermal method by changing the solvents(H_(2)O,DMF,aqueous HCl solution).the as-prepared nanocatalysts have excellent thermal stability,large porosity,and high *** results show all materials have good photocatalytic activity in aqueous media,with WO_(3)/WS_(2)nanorods(NRs)having the best activity in the photodegradation of bisphenol A(BPA)under visible-light *** may originate from increased migration of charge carriers and effective prevention of electron–hole recombination in WO_(3)/WS_(2)NRs,whereby this photocatalyst is able to generate more reactive·OH and·O_(2)^(–)species,leading to greater photocatalytic *** 99.6% of BPA is photodegraded within 60 min when using 1.5 g/L WO_(3)/WS_(2)NRs and 5.0 mg/L BPA at pH ***,the optimal conditions(pH,catalyst dosage,initial BPA concentration)for WO_(3)/WS_(2)NRs are also elaborately *** rod-like heterostructures are expressed as potential catalysts with excellent photostability,efficient reusability,and highly active effectivity in different types of *** particular,the removal efficiency of BPA by WO_(3)/WS_(2)NRs reduces by only 1.5% after five recycling runs and even reaches 89.1%in contaminated lake *** study provides promising insights for the nearly complete removal of BPA from wastewater or different water resources,which is advantageous to various applications in environmental remediation.

关键词： Photodegradation Bisphenol A tungsten-based nanocatalyst Structure Nanorod

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Managing type 2 diabetes:targeting a microbial enzyme as a novel treatment option

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Signal transduction and targeted therapy 2024年第1期9卷 3-5页

作者： Anikó Keller-Pintér tamás Korcsmáros tibor Vellai Department of Biochemistry Albert Szent-Györgyi Medical SchoolUniversity of SzegedSzeged6720Hungary Department of Metabolism Digestion and ReproductionImperial College LondonLondonW120NNUK Quadram Institute Bioscience Norwich Research ParkNorwichNR47UQUK Department of Genetics Eötvös Loránd University(ELTE)Budapest1117Hungary Hungarian Research Network HUN-REN-ELtE Genetics Research Group Budapest1117Hungary

In a recent Science article,Wang and colleagues showed that the dipeptidyl peptidase 4(DPP4)enzyme produced by the gut microbiota can interfere with the effect of host glucagon-like peptide-1(GLP-1)involved in stimulating insulin secretion,and the specific inhibitor of microbial DPP4(mDPP4),combined with clinical inhibitors of host DPP4 isoenzymes,further promotes blood glucose homeostasis.1 these results point out why certain patients respond inadequately to an antidiabetic medication.

关键词： homeostasis stimulating clinical

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A concise review on surface and structural modification of porous zeolite scaffold for enhanced hydrogen storage

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Chinese Journal of Chemical Engineering 2024年第6期70卷 33-53页

作者： B.A.Abdulkadir R.S.R.Mohd Zaki A.t.Abd Wahab S.N.Miskan Anh-tam Nguyen Dai-Viet N.Vo H.D.Setiabudi Centre for Research in Advanced Fluid&Processes Universiti Malaysia Pahang Al-Sultan AbdullahLebuh Persiaran Tun Khalil YaakobGambangPahang 26300Malaysia Faculty of Chemical&Process Engineering technology Universiti Malaysia Pahang Al-Sultan AbdullahLebuh Persiaran Tun Khalil YaakobGambangPahang 26300Malaysia Center of Excellence for Green Energy and Environmental Nanomaterials(CE@GrEEN) Nguyen Tat Thanh University300A Nguyen Tat ThanhDistrict 4Ho Chi Minh City 755414Viet Nam

Investigating zeolites as hydrogen storage scaffolds is imperative due to their porous nature and favorable physicochemical ***,the storage capacity of the unmodified zeolites has been rather unsatisfactory(0.224%-1.082%(mass))compared to its modified ***,the contemporary focus on enhancing hydrogen storage capacities has led to significant attention towards the utilization of modified zeolites,with studies exploring surface modifications through physical and chemical treatments,as well as the integration of various active *** enhanced hydrogen storage properties of zeolites are attributed to the presence of aluminosilicates from alkaline and alkaline-earth metals,resulting in increased storage capacity through interactions with the charge density of these ***,there is a great demand to critically review their role such as well-defined topology,pore structure,good thermal stability,and tunable hydrophilicity in enhanced hydrogen *** article aimed to critically review the recent research findings based on modified zeolite performance for enhanced hydrogen *** of the factors affecting the hydrogen storage capacities of zeolites that can affect the rate of reaction and the stability of the adsorbent,like pressure,structure,and morphology were studied,and ***,future perspectives,recommendations,and directions for modified zeolites were discussed.

关键词： Zeolites Hydrogen storage Surface modification Adsorption Active metal

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Broad-spectrum ginsentides are principal bioactives in unraveling the cure-all effects of ginseng

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Acta Pharmaceutica Sinica B 2024年第2期14卷 653-666页

作者： Shining Loo Antony Kam Bamaprasad Dutta Xiaohong Zhang Nan Feng Siu Kwan Sze Chuan-Fa Liu Xiaoliang Wang James P.tam School of Biological Sciences Nanyang Technological UniversitySingapore 637551Singapore Academy of Pharmacy Xi’an Jiaotong-Liverpool UniversitySuzhou 215123China Department of Biological Sciences Xi’an Jiaotong-Liverpool UniversitySuzhou 215123China Institute of Materia Medica Chinese Academy of Medical SciencesBeijing 100050China Department of Health Sciences Brock UniversityNiagara RegionON L2S 3A1Canada

Stress and illness connection is complex and involves multiple physiological *** ginsengs,reputed for their broad-spectrum“cure-all”effect,are widely prescribed to treat stress and related ***,the identity of ginseng’s“cure-all”medicinal compounds that relieve stress remains ***,we identify ginsentides as the principal bioactives that coordinate multiple systems to restore homeostasis in response to *** are disulfide-rich,cell-penetrating and proteolytic-stable *** affinity-enrichment mass spectrometry target identification together with in vitro,ex vivo and in vivo validations,we show that highly purified or synthetic ginsentides promote vasorelaxation by producing nitric oxide through endothelial cells via intracellular PI3K/Akt signaling pathway,alleviate a1-adrenergic receptor overactivity by reversing phenylephrine-induced constriction of aorta,decrease monocyte adhesion to endothelial cells via CD166/ESAM/CD40 and inhibit P2Y12 receptors to reduce platelet *** administered ginsentides were effective in animal models to reduce ADP-induced platelet aggregation,to prevent collagen and adrenalineinduced pulmonary thrombosis as well as anti-stress behavior of tail suspension and forced swimming tests in ***,these results strongly suggest that ginsentides are the principal panacea compounds of ginsengs because of their ability to target multiple extra-and intra-cellular proteins to reverse stress-induced damages.

关键词： Ginseng Cysteine-rich peptides Microproteins Cure-all Stress Homeostasis

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ALS-linked C9orf72 dipeptide repeats inhibit starvation-induced autophagy through modulating BCL2–BECN1 interaction

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Acta Pharmaceutica Sinica B 2024年第5期14卷 2026-2038页

作者： Shiqiang Xu Qilian Ma Junwen Shen Ningning Li Shan Sun Nana Wang Yang Chen Chunsheng Dong Kin Yip tam Jochen H.M.Prehn Hongfeng Wang Zheng Ying Jiangsu Key Laboratory of Neuropsychiatric Diseases and College of Pharmaceutical Sciences Soochow UniversitySuzhou 215123China MOE Key Laboratory of Geriatric Diseases and Immunology College of Pharmaceutical SciencesSuzhou Medical College of Soochow UniversitySuzhou 215123China Jiangsu Province Engineering Research Center of Precision Diagnostics and therapeutics Development Soochow UniversitySuzhou 215123China Dept.of Physiology&Medical Physics and FUtURE-NEURO Research Centre Royal College of Surgeons in IrelandDublin D02 YN77Ireland Faculty of Health Sciences University of MacaoTaipaMacao 999078China Insititutes of Biology and Medical Science Soochow UniversitySuzhou 215123China

Growing evidences indicate that dysfunction of autophagy contributes to the disease pathogenesis of amyotrophic lateral sclerosis(ALS)and frontotemporal dementia(FtD),two neurodegenerative *** GGGGCC·GGCCCC repeat RNA expansion in chromosome 9 open reading frame 72(C9orf72)is the most genetic cause of both ALS and *** to the previous studies,GGGGCC·GGCCCC repeat undergoes the unconventional repeat-associated non-AtG translation,which produces dipeptide repeat(DPR)*** there is a growing understanding that C9orf72 DPRs have a strong ability to harm neurons and induce C9orf72-linked ALS/FtD,whether these DPRs can affect autophagy remains *** the present study,we find that poly-GR and poly-PR,two arginine-containing DPRs which display the most cytotoxic properties according to the previous studies,strongly inhibit starvation-induced ***,our data indicate that arginine-rich DPRs enhance the interaction between BCL2 and BECN1/Beclin 1 by inhibiting BCL2 phosphorylation,therefore they can impair autophagic clearance of neurodegenerative disease-associated protein aggregates under starvation condition in ***,our study not only highlights the role of C9orf72 DPR in autophagy dysfunction,but also provides novel insight that pharmacological intervention of autophagy using SW063058,a small molecule compound that can disrupt the interaction between BECN1 and BCL2,may reduce C9orf72 DPR-induced neurotoxicity.

关键词： Amyotrophic lateral sclerosis Frontotemporal dementia C9orf72 Autophagy BCL2 BECN1/Beclin 1 Dipeptide repeat Neurodegeneration

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Long-term outcomes after endoscopic removal of malignant colorectal polyps:Results from a 10-year cohort

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World Journal of Gastrointestinal Endoscopy 2024年第4期16卷 193-205页

作者： Anna Fábián Renáta Bor Béla Vasas Mónika Szűcs tibor tóth Zsófia Bősze Kata Judit Szántó Péter Bacsur Anita Bálint Bernadett Farkas Klaudia Farkas Ágnes Milassin Mariann Rutka tamás Resál tamás Molnár Zoltán Szepes Department of Internal Medicine University of SzegedSzent-Györgyi Albert Medical SchoolSzeged 6725Hungary Department of Pathology University of SzegedSzent-Györgyi Albert Medical SchoolSzeged 6725Hungary Department of Medical Physics and Medical Informatics University of SzegedSzent-Györgyi Albert Medical SchoolSzeged 6720Hungary USZ translational Colorectal Research Group Hungarian Centre of Excellence for Molecular MedicineSzeged 6725Hungary

BACKGROUND Choosing an optimal post-polypectomy management strategy of malignant colorectal polyps is challenging,and evidence regarding a surveillance-only strategy is *** to evaluate long-term outcomes after endoscopic removal of malignant colorectal *** A single-center retrospective cohort study was conducted to evaluate outcomes after endoscopic removal of malignant colorectal polyps between 2010 and *** disease rate and nodal metastases after secondary surgery and local and distant recurrence rate for those with at least 1 year of follow-up were *** rates for categorical variables and means for continuous variables with 95%confidence intervals were calculated,and Fisher’s exact test and Mann-Whitney test were *** risk factors of adverse outcomes were RESULtS In total,135 lesions(mean size:22.1 mm;location:42%rectal)from 129 patients(mean age:67.7 years;56%male)were *** proportion of pedunculated and non-pedunculated lesions was similar,with en bloc resection in 82%and 47%of lesions,*** differentiation,distance from resection margins,depth of submucosal invasion,lymphovascular invasion,and budding were reported at 89.6%,45.2%,58.5%,31.9%,and 25.2%,*** tumor was found in 10 patients,and nodal metastasis was found in 4 of 41 patients who underwent secondary surgical *** analysis identified piecemeal resection as a risk factor for residual malignancy(odds ratio:1.74;P=0.042).At least 1 year of follow-up was available for 117 lesions from 111 patients(mean follow-up period:5.59 years).Overall,54%,30%,30%,11%,and 16%of patients presented at the 1-year,3-year,5-year,7-year,and 9-10-year surveillance *** outcomes occurred in 9.0%(local recurrence and dissemination in 4 patients and 9 patients,respectively),with no difference between patients undergoing secondary surgery and surveillance *** Reporting of histological featur

关键词： Malignant colorectal polyps t1 tumor Endoscopic removal Outcomes Long-term Surveillance

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A comparative study of machine learning in predicting the mechanical properties of the deposited AA6061 alloys via additive friction stir deposition

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Materials Genome Engineering Advances 2024年第1期2卷 134-147页

作者： Qian Qiao Quan Liu Jiong Pu Haixia Shi Wenxiao Li Zhixiong Zhu Dawei Guo Hongchang Qian Dawei Zhang Xiaogang Li C.t.Kwok L.M.tam Department of Electromechanical Engineering University of MacaoMacaoChina Institute for the Development and Quality MacaoChina IDQ Science and technology Development(Hengqin Guangdong)Co.LtdHengqinGuangdongChina Aerospace Engineering Equipment(Suzhou)Co.Ltd SuzhouChina National Materials Corrosion and Protection Data Center Institute for Advanced Materials and TechnologyUniversity of Science and Technology BeijingBeijingChina

Additive friction stir deposition(AFSD)provides strong flexibility and better performance in component design,which is controlled by the process *** is an essential and difficult task to tune those *** recent exploration of machine learning(ML)exhibits great potential to obtain a suitable balance between productivity and set *** this study,ML techniques,including support vector machine(SVM),random forest(RF)and artificial neural network(ANN),are applied to predict the mechanical properties of the AFSD-based AA6061 *** for the stable parameters(temperature,force and torque)in situ monitored by the self-developed process-aware kit during the AFSD process and the other factors(rotation speed,traverse speed,feed rate and layer thickness)are also set as input *** output variables are microhardness and ultimate tensile strength(UtS).Prediction results show that the ANN model performs the best prediction accuracy with the highest R2(0.9998)and the lowest mean absolute error(MAE,0.0050)and root mean square error(RMSE,0.0063).Furthermore,analysis suggests that the feed rate(24.8%/24.1%)and layer thickness(25.6%/26.6%)indicate a higher contribution that affects the mechanical properties.

关键词： additive friction stir deposition in-situ monitored machine learning mechanical properties prediction

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