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Forecasting Damage Mechanics By Deep Learning

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Computers, Materials & Continua 2019年第9期61卷 951-977页

作者： Duyen Le Hien nguyen Dieu Thi Thanh Do Jaehong Lee Timon Rabczuk hung nguyen-xuan CIRTech Institute Ho Chi Minh City University of Technology(HUTECH)Ho Chi Minh CityVietnam Department of Architectural Engineering Sejong University209 Neungdong-roGwangjin-guSeoulKorea Institute of Structural Mechanics Bauhaus-Universität Weimar99423WeimarGermany Department of Physical Therapy Graduate Institute of Rehabilitation ScienceChina Medical UniversityTaichung40402Taiwan

We in this paper exploit time series algorithm based deep learning in forecasting damage mechanics *** methodologies that are able to work accurately for less computational and resolving attempts are a significant demand *** on learning an amount of information from given data,the long short-term memory(LSTM)method and multi-layer neural networks(MNN)method are applied to predict *** examples are implemented for predicting fracture growth rates of L-shape concrete specimen under load ratio,single-edge-notched beam forced by 4-point shear and hydraulic fracturing in permeable porous media problems such as storage-toughness fracture regime and fracture-height growth in Marcellus *** predicted results by deep learning algorithms are well-agreed with experimental data.

关键词： Damage mechanics time series forecasting deep learning long short-term memory multi-layer neural networks hydraulic fracturing

Deep learning-based signal processing for evaluating energy dispersal in bridge structures

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2021年第8期22卷 672-680页

作者： Nhi NGO-KIEU Thao nguyen-DA Toan PHAM-BAO Tam nguyen-NHAT hung nguyen-xuan Laboratory of Applied Mechanics(LAM) Ho Chi Minh City Univer-sity of Technology(HCMUT)Ho Chi Minh CityVietnam Vietnam National University Ho Chi Minh City Ho Chi Minh CityVietnam Ho Chi Minh City Department of Transportation Ho Chi Minh CityVietnam CIRTECH Institute Ho Chi Minh City University of Technology(HUTECH)Ho Chi Minh CityVietnam

In this paper,we use deep learning to investigate a loss factor function(LF)for measuring energy dispersal in bridge structures in Ho Chi Minh City,*** LF is calculated from the power spectral density(PSD)of random vi... 详细信息

关键词： bridge energy dispersal

A Smoothed Finite Element Method for the Static and Free Vibration Analysis of Shells

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Journal of Civil Engineering and Architecture 2010年第9期4卷 13-25页

作者： Nhon nguyen-Thanh Chien Thai-Hoang hung nguyen-xuan Timon Rabczuk Institute of Structural Mechanics Bauhaus-University Weimar Weimar D-99423 Germany Division of Computational Mechanics Ton Due Thang University 11o Chi Minh City Vietnam Department of Mechanics Faculty of Mathematics and Computer Science University of Science-VNU HCM Vietnam

A four-node quadrilateral shell element with smoothed membrane-bending based on Mindlin-Reissner theory is proposed. The element is a combination of a plate bending and membrane element. It is based on mixed interpolation where the bending and membrane stiffness matrices are calculated on the boundaries of the smoothing cells while the shear terms are approximated by independent interpolation functions in natural coordinates. The proposed element is robust, computationally inexpensive and free of locking. Since the integration is done on the element boundaries for the bending and membrane terms, the element is more accurate than the MITC4 element for distorted meshes. This will be demonstrated for several numerical examples.

关键词： Shell element MITC4 elements smoothed finite elements method (SFEM).

Landslide Susceptibility Mapping Using RBFN-Based Ensemble Machine Learning Models

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 467-500页

作者： Landslide Susceptibility Mapping Using RBFN-Based Ensemble Machine Learning Models Duc-Dam nguyen nguyen Viet Tiep Quynh-Anh Thi Bui Hiep Van Le Indra Prakash Romulus Costache Manish Pandey Binh Thai Pham Faculty of Civil Engineering University of Transport TechnologyThanh XuanHa Noi100000Vietnam Faculty of Hydraulic Engineering Hanoi University of Civil EngineeringHa Noi100000Vietnam DDG(R)Geological Survey of India Gandhinagar382010India Research Institute of the University of Bucharest Bucharest050663Romania National Institute of Hydrology and Water Management Bucharest013686Romania Department of Civil Engineering Transilvania University of BrasovBrasov500152Romania Danube Delta National Institute for Research and Development Tulcea820112Romania Marwadi University Research Center(MURC) Marwadi UniversityRajkotGujaratBharat360003India Department of Civil Engineering Faculty of Engineering&TechnologyMarwadi UniversityRajkotGujaratBharat360003India

This study was aimed to prepare landslide susceptibility maps for the Pithoragarh district in Uttarakhand,India,using advanced ensemble models that combined Radial Basis Function Networks(RBFN)with three ensemble learning techniques:DAGGING(DG),MULTIBOOST(MB),and ADABOOST(AB).This combination resulted in three distinct ensemble models:DG-RBFN,MB-RBFN,and ***,a traditional weighted method,Information Value(IV),and a benchmark machine learning(ML)model,Multilayer Perceptron Neural Network(MLP),were employed for comparison and *** models were developed using ten landslide conditioning factors,which included slope,aspect,elevation,curvature,land cover,geomorphology,overburden depth,lithology,distance to rivers and distance to *** factors were instrumental in predicting the output variable,which was the probability of landslide *** analysis of the models’performance indicated that the DG-RBFN model,with an Area Under ROC Curve(AUC)of 0.931,outperformed the other *** AB-RBFN model achieved an AUC of 0.929,the MB-RBFN model had an AUC of 0.913,and the MLP model recorded an AUC of *** results suggest that the advanced ensemble ML model DG-RBFN was more accurate than traditional statistical model,single MLP model,and other ensemble models in preparing trustworthy landslide susceptibility maps,thereby enhancing land use planning and decision-making.

关键词： Landslide susceptibility map spatial analysis ensemble modelling information values(IV)

Designing Software to Analyze Sewing Process of Industrial Knitted Products

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Computer Systems Science & Engineering 2023年第2期44卷 1837-1852页

作者： Phan Thanh Thao nguyen Thanh hung Pham Thi Le My nguyen xuan Hiep Duy-Nam Phan Hanoi University of Science and Technology Hanoi10000Vietnam

In the textile industry,garment manufacturing contains four major pro-cesses containing cutting,sewing,ﬁnishing,and *** is the most crucial and intricate section,dealing with a large number of varied operations.A successful sewing process needs to be optimized regarding different factors,including time,sewing equipment,and skilled *** lineﬂow is combined by a set of operations with a particular *** utmost impor-tance of all garment industry is to arrange the workstations to minimize the num-ber of employees in order to produce at the best productive rate with the most reasonable cost,shortest time,and satisfying *** most garment factories,the production lines are balanced using the empirical judgment of the line *** the whole process the data of production time at each step,labor pro-ductivity,proper choices of equipment were always needed to calculate line efﬁ*** far as the issue is concerned,there has not been an academically sewing process analyzing software providing adequate data of sewing motions and sewing time as the credible input for the line balancing *** this goal,this paper presents the results of research on optimizing academically self-built software to analyze the sewing process of knitted products applied to industrial production using Java programming language on Google *** results achieved by the software are not only to analyze sewing products and the technological sewing process,calculate the sewing time on the machine but also analyze the sewing activities of workers into manipulations,movements,and motions to calculate the preparation time for two typical knitted products,namely,Polo-Shirt and T-Shirt with the case studies at General Textile Garment Joint Stock Company Hanoi and Star Fashion Company Limited.

关键词： Sewing motion sewing time GSD MTM polo-shirt T-shirt sewing process sewing operation analyzing software

Agricultural Supply Chain Risks Evaluation with Spherical Fuzzy Analytic Hierarchy Process

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Computers, Materials & Continua 2022年第11期73卷 4211-4229页

作者： Phi-hung nguyen Faculty of Business FPT UniversityHanoi100000Vietnam

The outbreak of the COVID-19 pandemic has impacted the development of the global *** most developing and third world countries are heavily dependent on agriculture and agricultural imports,the agricultural supply chains(ASC)in all these countries are exposed to unprecedented risks following ***,it is vital to investigate the impact of risks and create resilient ASC *** this study,critical risks associated with ASC were assessed using a novel Analytical Hierarchy Process based on spherical fuzzy sets(SF-AHP).The findings indicated that depending on the scope and scale of the organization,supply risks,demand risks,financial risks,logistics and infrastructure risks,management and operational risks,policy and regulatory risks,and biological and environmental risks all have a significant impact on *** research highlighted that the most significant criterion is specified as Transportation(TP),followed by Market(MA)and Policy(PO),***,Technology(TL)is the least significant *** study’s findings can help managers with a holistic view of the agriculture supply chain risk ***,this study may assist managers in sharing information about the processing of agricultural products from top to bottom to manage risk in the supply chain.

关键词： MCDM supply chain risks spherical fuzzy AHP Vietnam

Two-Stage PLS-SEM and Fuzzy AHP Approach to Investigate Vietnamese SMEs’Export Competitiveness

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Computers, Materials & Continua 2022年第8期72卷 4107-4123页

作者： Phi-hung nguyen Department of Business Management National Taipei University of TechnologyTaipei10608Taiwan Faculty of Business FPT UniversityHanoi100000Vietnam

Vietnam is paying great to the seafood exporting sector,offering various significant production advantages,concluding that it is critical to understand the competitiveness of the target market and implement effective ***,due to COVID 19,the value of Vietnamese pangasius exports resulted in low and unpredictable profits for pangasius *** is obvious to recognize competitiveness as Multi-Criteria Decision Making(MCDM)problem in the uncertain business ***,this study is the first to propose a two-staged Partial Least Squares-Structural Equation Modeling(PLS-SEM)and Fuzzy Analytic Hierarchy Process(FAHP)analysis to identify potential criteria and comprehensively investigate the competitiveness of Vietnamese pangasius export Small and Medium-sized Enterprises(SMEs)in the context of China ***,a dataset of 186 valid respondents from seafood export SMEs was collected through an online survey from June to December *** PLS-SEM approach was applied to ascertain the positive impact of the proposed criteria contributing to the competitiveness of Vietnamese pangasius against China *** PLS-SEM results showed that all criteria strongly correlated with the pangasius exporting ***,the FAHP method is employed to rank the subjective weights of mentioned criteria based on 12 experts’*** infrastructure(C3)has the highest rank of competitiveness criteria with the highest weight,followed by Product(C4).In contrast,Prices(C6)was indicated as the lowest rank at 0.107 regarding FAHP ***,this study provides insights into stakeholders seeking to improve competitiveness performance.

关键词： PLS-SEM FAHP competitiveness pangasius SMEs MCDM

Automotive Service Quality Investigation Using a Grey-DEMATEL Model

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Computers, Materials & Continua 2022年第12期73卷 4779-4800页

作者： Phi-hung nguyen Faculty of Business FPT UniversityHanoi100000Vietnam

In today’s fast-challenging business environment,automobile manufacturers are required to supply customers with high-quality vehicles at competitive ***,existing research on factors influencing service quality lacks a detailed and systematic understanding,and there is no consensus study on causal relationship and measuring the weights of service quality factors in the automotive manufacturing *** study provides an integrated technique for evaluating the automotive service quality in the context of VinFast-the Vietnamese leading ***,the Grey Theory System(GTS)is utilized to estimate the subjective views of the decision maker(DM)and overcome incomplete and vague decision ***,a Decision-Making Trial and Evaluation Laboratory approach integrated with GTS(Grey-DEMATEL)is proposed not only to define the cause-effect factors but also to quantify the causal relationship of proposed criteria,which is based on comprehensive analyses of the current service quality literature and experts’opinions,as well as to capture the criteria *** results show that the weights of main criteria can be sorted as follow:Tangibility>Reliability>Assurance>Pricing>Empathy>*** the proposed sub-criteria,Pricing is the top concern compared to other dimensions,making it a prerequisite for *** causal relationships of VinFast’s service quality are discovered by the Grey-DEMATEL *** findings also indicated a rising need for VinFast to focus on ***,the proposed model might be used as a decision support tool to contribute to the literature on service quality,provide recommendations for future study,and assist managers in improving service qualitymore efficiently.

关键词： MCDM grey theory DEMATEL SERVQUAL automobile industry

Fully Completed Spherical Fuzzy Approach-Based Z Numbers(PHIModel)for Enhanced Group Expert Consensus

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Computers, Materials & Continua 2024年第7期80卷 1655-1675页

作者： Phi-hung nguyen Research Center of Applied Sciences Faculty of BusinessFPT UniversityHanoi100000Vietnam

This study aims to establish an expert consensus and enhance the efficacy of decision-making processes by integrating Spherical Fuzzy Sets(SFSs)and Z-Numbers(SFZs).A novel group expert consensus technique,the PHImodel,is developed to address the inherent limitations of both SFSs and the traditional Delphi technique,particularly in uncertain,complex *** such contexts,the accuracy of expert knowledge and the confidence in their judgments are pivotal *** study provides the fundamental operational principles and aggregation operators associated with SFSs and Z-numbers,encompassing weighted geometric and arithmetic operators alongside fully developed operators tailored for SFZs ***,a case study and comparative analysis are conducted to illustrate the practicality and effectiveness of the proposed operators and *** the PHI model with SFZs numbers represents a significant advancement in decision-making frameworks reliant on expert ***,this combination serves as a comprehensive tool for decision-makers,enabling them to achieve heightened levels of consensus while concurrently assessing the reliability of expert *** case study results demonstrate the PHI model’s utility in resolving complex decision-making scenarios,showcasing its ability to improve consensus-building processes and enhance decision ***,the comparative analysis highlights the superiority of the integrated approach over traditional methodologies,underscoring its potential to revolutionize decision-making practices in uncertain environments.

关键词： Spherical fuzzy sets Delphi method Z-numbers expert consensus PHI model uncertainty