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Model validation for structural dynamics in the aero-engine design process

Chaoping ZANG, D. J. EWINS,

Frontiers in Energy 2009, Volume 3, Issue 4,   Pages 480-488 doi: 10.1007/s11708-009-0043-8

Abstract: A model validation technique in structural dynamics and its application in aero-engine development isThe concept and the approaches of model validation based on reference data supplied from experimentalAn aero-engine component is used as an example to demonstrate the validation using the experimental testA satisfactory agreement with both approaches is achieved, and finally, a strategy of model validationfor the whole engine model is introduced.

Keywords： model validation     aero-engine     structural dynamics    

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Identification of structural parameters and boundary conditions using a minimum number of measurement

Ali KARIMPOUR, Salam RAHMATALLA

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1331-1348 doi: 10.1007/s11709-020-0686-4

Abstract: Regression surfaces between the structural parameters and structural output features, represented byAn inverse iterative process is then applied to identify the structural parameters by matching the experimentalboundary coefficients and physical parameters of the Euler-Bernoulli beam as well as a highway bridge modelthe proposed method will have practical applications in the identification and analysis of restored structural

Keywords： structural model validation     eigenvalue problem     response surface     inverse problems    

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Test-driven verification/validation of model transformations

László LENGYEL,Hassan CHARAF

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 2,   Pages 85-97 doi: 10.1631/FITEE.1400111

Abstract: In this way, verification/validation methods can guarantee different requirements stated by the actualduring the model-to-model transformation.the different scenarios of model transformation verification and validation, and introduces the principlesFurthermore, we collect and discuss the actual open issues in the field of verification/validation ofmodel transformations.

Keywords： Graph rewriting based model transformations     Verification/validation     Test-driven verification    

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Model validation and application

Rongrong ZHANG,Chesheng ZHAN,Xiaomeng SONG,Baolin LIU

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 6,   Pages 1025-1035 doi: 10.1007/s11783-014-0655-z

Abstract: Once the model development is complete, the composite module and the entire modeling system need to betested and validated to ensure that the model can simulate natural phenomena with reasonable and reliableIn the third step, the data from an experimental landfill site is used for a pilot-scale validation.Further field-scale validation is finished. The results are satisfactory.

Keywords： environmental multimedia modelling system     fuzzy-set approach     application     model validation     uncertainty    

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Experimental and computational validation of a scaled train tunnel model using modal analysis

Janice B. D’SOUZA, Sangarapillai KANAPATHIPILLAI

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 4,   Pages 420-428 doi: 10.1007/s11465-013-0281-7

Abstract: In this study, an experimental rig was constructed to model the acoustic behavior within a tunnel.were identified and were shown to successfully correspond to theoretical results and a computational model

Keywords： reverberation time     acoustic environment     modal properties     resonances    

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Structural optimization of filament wound composite pipes

Roham RAFIEE; Reza SHAHZADI; Hossein SPERESP

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 8,   Pages 1056-1069 doi: 10.1007/s11709-022-0868-3

Abstract: An optimization procedure is developed for obtaining optimal structural design of filament wound compositeThen, proper computational tools are developed for predicting the structural properties of the composite

Keywords： composite pipes     optimization     experimental validation     computational modeling     filament winding    

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Assessment and validation of liquid breakup models for high-pressure dense diesel sprays

Yi REN,Xianguo LI

Frontiers in Energy 2016, Volume 10, Issue 2,   Pages 164-175 doi: 10.1007/s11708-016-0407-9

Abstract: experimental observations, along with the influence of the liquid breakup models and the sensitivity of modelIt is found that the modified Kelvin-Helmholtz (KH)–Rayleigh-Taylor (RT) breakup model gives the mostFor the standard KH-RT model, the model constant for the breakup length has a significant effect onthe predictability of the model, and a fixed value of the constant cannot provide a satisfactory resultThe Taylor-analogy-breakup (TAB) based models and the RT model do not provide reasonable predictions

Keywords： breakup model     diesel engine     high-pressure injection     simulations    

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Heuristic solution using decision tree model for enhanced XML schema matching of bridge structural calculation

Sang I. PARK, Sang-Ho LEE

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1403-1417 doi: 10.1007/s11709-020-0666-8

Abstract: Research on the quality of data in a structural calculation document (SCD) is lacking, although the SCDThe decision tree model was built using the content elements stored in the SCD, design companies, bridgeThe inverse-calculation method was applied to extract the weight factors from the decision tree model

Keywords： structural calculation document     bridge structure     XML Schema matching     weight factor     data mining     decisiontree model    

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A hybrid deep learning model for robust prediction of the dimensional accuracy in precision milling ofthin-walled structural components

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0688-0

Abstract: In this study, we develop a predictive model of the dimensional accuracy for precision milling of thin-walledstructural components.The aim is to classify three typical features of a structural component—squares, slots, and holes—intoBased on the experimental data collected during the milling experiments, the proposed model proved toThe average classification accuracy obtained using the proposed deep learning model was 9.55% higher

Keywords： precision milling     dimensional accuracy     cutting force     convolutional neural networks     coherent noise    

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Proposal of a probabilistic assessment of structural collapse concomitantly subject to earthquake and

Gholamreza ABDOLLAHZADEH, Hadi FAGHIHMALEKI

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 3,   Pages 425-437 doi: 10.1007/s11709-017-0427-5

Abstract: In the second step, having the structural destructions of the first step in view, a pushdown analysisFinally, the annual probability of structural collapse under simultaneous earthquake and blast loads

Keywords： gas blast     pushdown analysis     progressive collapse     annual probability of structural collapse     3D model of    

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Validation of wind vectors retrieved by the HY-2A microwave scatterometer using NC EP model data

Mu Bo,Lin Mingsen,Peng Hailong,Song Qingtao,Zhou Wu

Strategic Study of CAE 2014, Volume 16, Issue 6,   Pages 39-45

Abstract: validated to provide the basis for the quantitative application of the data product.This paper performs the validationvectorsretrieved by HY-2A scatterometer using national centers for environmental prediction (NCEP )modelThe validation result suggests that the validationmethod cangive the precision of the overall wind vectorsrelating with thescanningpencil-beam system and the scatterometer measurement mechanism.Meanwhile the validation

Keywords： microwave scatterometer     windvectors inversion     validation    

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Stiffness analysis and experimental validation of robotic systems

Giuseppe CARBONE

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 2,   Pages 182-196 doi: 10.1007/s11465-011-0221-3

Abstract: engineering feasibility of both the proposed numerical formulation for stiffness analysis and experimental validation

Keywords： robotics     stiffness performance     numerical and experimental estimations    

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Decision support for the development, simulation and optimization of dynamic process models

Norbert Asprion, Roger Böttcher, Jan Schwientek, Johannes Höller, Patrick Schwartz, Charlie Vanaret, Michael Bortz

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 210-220 doi: 10.1007/s11705-021-2046-x

Abstract: The ability of simulations to reflect real process behavior strongly depends on model quality.Validation and adaption of process models are usually based on available plant data.Using such a model in various simulation and optimization studies can support the process designer in

Keywords： decision support     multicriteria optimization     model validation     dynamic model     sensitivity analysis    

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Innate immune checkpoint Siglec10 in cancers: mining of comprehensive omics data and validation in patient

Frontiers of Medicine 2022, Volume 16, Issue 4,   Pages 596-609 doi: 10.1007/s11684-021-0868-z

Abstract: Sialic acid binding Ig-like lectin 10 (Siglec10) is a member of innate immune checkpoints that inhibits the activation of immune cells through the interaction with its ligand CD24 on tumor cells. Here, by analyzing public databases containing 64 517 patients of 33 cancer types, we found that the expression of Siglec10 was altered in 18 types of cancers and was associated with the clinical outcomes of 11 cancer types. In particular, Siglec10 was upregulated in patients with kidney renal clear cell carcinoma (KIRC) and was inversely associated with the prognosis of the patients. In 131 KIRC patients of our settings, Siglec10 was elevated in the tumor tissues of 83 (63.4%) patients compared with that in their counterpart normal kidney tissues. Moreover, higher level of Siglec10 was associated with advanced disease (stages III and IV) and worse prognosis. Silencing of CD24 in KIRC cells significantly increased the number of Siglec10-expressing macrophages phagocytosing KIRC cells. In addition, luciferase activity assays suggested that Siglec10 was a potential target of the transcription factors c-FOS and GATA1, which were identified by data mining. These results demonstrate that Siglec10 may have important oncogenic functions in KIRC, and represents a novel target for the development of immunotherapies.

Keywords： innate immune checkpoint     Siglec10     kidney renal clear cell carcinoma    

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Estimation of flexible pavement structural capacity using machine learning techniques

Nader KARBALLAEEZADEH, Hosein GHASEMZADEH TEHRANI, Danial MOHAMMADZADEH SHADMEHRI, Shahaboddin SHAMSHIRBAND

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 5,   Pages 1083-1096 doi: 10.1007/s11709-020-0654-z

Abstract: The most common index for representing structural condition of the pavement is the structural number.The current procedure for determining structural numbers involves utilizing falling weight deflectometerIn this study, three machine learning methods entitled Gaussian process regression, M5P model tree, andrandom forest used for the prediction of structural numbers in flexible pavements.is related to 759 flexible pavement sections at Semnan and Khuzestan provinces in Iran and includes “structural

Keywords： transportation infrastructure     flexible pavement     structural number prediction     Gaussian process regression     M5P model tree     random forest    

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Title Author Date Type Operation

Model validation for structural dynamics in the aero-engine design process

Chaoping ZANG, D. J. EWINS,

Journal Article

Identification of structural parameters and boundary conditions using a minimum number of measurement

Ali KARIMPOUR, Salam RAHMATALLA

Journal Article

Test-driven verification/validation of model transformations

László LENGYEL,Hassan CHARAF

Journal Article

Model validation and application

Rongrong ZHANG,Chesheng ZHAN,Xiaomeng SONG,Baolin LIU

Journal Article

Experimental and computational validation of a scaled train tunnel model using modal analysis

Janice B. D’SOUZA, Sangarapillai KANAPATHIPILLAI

Journal Article

Structural optimization of filament wound composite pipes

Roham RAFIEE; Reza SHAHZADI; Hossein SPERESP

Journal Article

Assessment and validation of liquid breakup models for high-pressure dense diesel sprays

Yi REN,Xianguo LI

Journal Article

Heuristic solution using decision tree model for enhanced XML schema matching of bridge structural calculation

Sang I. PARK, Sang-Ho LEE

Journal Article

A hybrid deep learning model for robust prediction of the dimensional accuracy in precision milling ofthin-walled structural components

Journal Article

Proposal of a probabilistic assessment of structural collapse concomitantly subject to earthquake and

Gholamreza ABDOLLAHZADEH, Hadi FAGHIHMALEKI

Journal Article

Validation of wind vectors retrieved by the HY-2A microwave scatterometer using NC EP model data

Mu Bo,Lin Mingsen,Peng Hailong,Song Qingtao,Zhou Wu

Journal Article

Stiffness analysis and experimental validation of robotic systems

Giuseppe CARBONE

Journal Article

Decision support for the development, simulation and optimization of dynamic process models

Norbert Asprion, Roger Böttcher, Jan Schwientek, Johannes Höller, Patrick Schwartz, Charlie Vanaret, Michael Bortz

Journal Article

Innate immune checkpoint Siglec10 in cancers: mining of comprehensive omics data and validation in patient

Journal Article

Estimation of flexible pavement structural capacity using machine learning techniques

Nader KARBALLAEEZADEH, Hosein GHASEMZADEH TEHRANI, Danial MOHAMMADZADEH SHADMEHRI, Shahaboddin SHAMSHIRBAND

Journal Article