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Method for solving the nonlinear inverse problem in gas face seal diagnosis based on surrogate models

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0689-z

Abstract: Physical models carry quantitative and explainable expert knowledge.The presented work develops a surrogate-model-assisted method for solving the nonlinear inverse problemLatin hypercube design and then performs an iterative routine that benefits from the rapidity of the surrogatemodels and the reliability of the physical model.

Keywords： surrogate model     gas face seal     fault diagnosis     nonlinear dynamics     tribology    

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double-layer barrel vaults using genetic and pattern search algorithms and optimized neural network as surrogate

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 3,   Pages 378-395 doi: 10.1007/s11709-022-0899-9

Abstract: The main idea is to utilize an optimized artificial neural network (OANN) as a surrogate model to reduce

Keywords： optimization     surrogate models     artificial neural network     SAP2000     genetic algorithm    

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Reliability-based design optimization of offshore wind turbine support structures using RBF surrogate

Frontiers of Structural and Civil Engineering   Pages 1086-1099 doi: 10.1007/s11709-023-0976-8

Abstract: Reliability-based design optimization of offshore wind turbine support structures using RBF surrogate

Keywords： RBF     surrogate model     turbine support structures    

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An assessment of surrogate fuel using Bayesian multiple kernel learning model in sight of sooting tendency

Frontiers in Energy 2022, Volume 16, Issue 2,   Pages 277-291 doi: 10.1007/s11708-021-0731-6

Abstract: Based on the database, a novel predicting model of YSI values for surrogate fuels was proposed with theThe BMKL model provides an accurate and low-cost approach to assess surrogate performances of diesel,Particularly, this model is one of the first attempts to predict the sooting tendencies of surrogateDuring surrogate formulation, the BMKL model can be used to shrink the surrogate candidate list in termsof sooting tendency and ensure the optimal surrogate has a satisfying matching level of soot behaviors

Keywords： sooting tendency     yield sooting index     Bayesian multiple kernel learning     surrogate assessment     surrogate    

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approach for structural damage detection using meta-heuristic algorithms and group method of data handling surrogate

Hamed FATHNEJAT, Behrouz AHMADI-NEDUSHAN

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 4,   Pages 907-929 doi: 10.1007/s11709-020-0628-1

Abstract: performance of an efficient two-stage methodology which is applied in a damage detection system using a surrogatemodal property change vector is evaluated using the group method of data handling (GMDH) network as a surrogateFinally, in order to achieve the most generalized neural network as a surrogate model, GMDH performance

Keywords： two-stage method     modal strain energy     surrogate model     GMDH     optimization damage detection    

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Synergistic optimization framework for the process synthesis and design of biorefineries

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 251-273 doi: 10.1007/s11705-021-2071-9

Abstract: In this context, several approaches for superstructure optimization based on different surrogate modelsThe results indicate that even though surrogate-based optimization approaches alleviate the underlyingThe development of appropriate surrogate models, comprising the selection of surrogate type, samplingThese findings invite for a critical assessment of surrogate-based optimization approaches and point

Keywords： biotechnology     surrogate modelling     superstructure optimization     simulation-based optimization     process    

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A surrogate-based optimization algorithm for network design problems Article

Meng LI, Xi LIN, Xi-qun CHEN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1693-1704 doi: 10.1631/FITEE.1601403

Abstract: We adopt a surrogate-based optimization (SBO) framework to solve three featured categories of NDPs (continuous

Keywords： Network design problem     Surrogate-based optimization     Transportation planning     Heuristics    

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A review on different theoretical models of electrocaloric effect for refrigeration

Frontiers in Energy 2023, Volume 17, Issue 4,   Pages 478-503 doi: 10.1007/s11708-023-0884-6

Abstract: This paper reviews the electrocaloric effect of ferroelectric materials based on different theoretical models

Keywords： electrocaloric effect     effective Hamiltonian     phase-field modeling     different theoretical models    

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Predictive models on photolysis and photoinduced toxicity of persistent organic chemicals

Qing ZHANG

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 6,   Pages 803-814 doi: 10.1007/s11783-013-0547-7

Abstract: Quantitative structure-activity relationship (QSAR) models that relate photodegradation kinetics or photoinducedThis paper reviews the QSAR models on photodegradation quantum yields and rate constants for toxic organicchemicals in different media including liquid phase, gaseous phase, surfaces of plant leaves, and QSAR models

Keywords： quantitative structure-activity relationship (QSAR) models     photodegradation     persistent organic pollutants    

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Empirical models and design codes in prediction of modulus of elasticity of concrete

Behnam VAKHSHOURI, Shami NEJADI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1,   Pages 38-48 doi: 10.1007/s11709-018-0479-1

Abstract: This study includes: (a) evaluation and comparison of the existing analytical models to estimating theIn addition, a wide range of experimental databases and empirical models to estimate the MOE from compressiveThe results show underestimation of MOE of conventional concrete in majority of the existing models.considering the consistency between density and mechanical properties of concrete, the predicted MOE in the models

Keywords： modulus of elasticity     normal strength normal weight concrete     empirical models     design codes     compressive    

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Managing economic and social profit of cooperative models in three-echelon reverse supply chain for waste

Jian Li, Zhen Wang, Bao Jiang

Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 5, doi: 10.1007/s11783-017-0999-2

Abstract: The paper investigates cooperative models with different parties in a three-echelon reverse supply chainIn addition, the optimal decisions of four cooperative models and the effect of the market demand of

Keywords： electrical and electronic equipment (WEEE)     Reverse supply chains     Recycle quantity     Social benefit     Cooperative models    

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Impact analytical models for earthquake-induced pounding simulation

Kun YE, Li LI

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 2,   Pages 142-147 doi: 10.1007/s11709-009-0029-y

Abstract: pounding under earthquake has been recently extensively investigated using various impact analytical modelsIn this paper, a brief review on the commonly used impact analytical models is conducted.

Keywords： structural pounding     Hertz model     Kelvin model     nonlinear damping     coefficient of restitution    

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Depth of cut models for multipass abrasive waterjet cutting of alumina ceramics with nozzle oscillation

Jun WANG

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 1,   Pages 19-32 doi: 10.1007/s11465-009-0082-1

Abstract: Predictive models for the depth of cut are then developed.particle erosion theories applied to alumina ceramics, before progressing to the development of the modelsThe models are finally assessed both qualitatively and quantitatively with experimental data.

Keywords： abrasive waterjet     engineering ceramics     depth of cut     cutting performance     nozzle oscillation     machining    

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Using machine learning models to explore the solution space of large nonlinear systems underlying flowsheet

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 183-197 doi: 10.1007/s11705-021-2073-7

Abstract: design variable space for such scenarios, an adaptive sampling technique based on machine learning models

Keywords： machine learning     flowsheet simulations     constraints     exploration    

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Availability growth models and verification of power equipment

Jinyuan SHI, Jiamin XU

Frontiers in Energy 2021, Volume 15, Issue 2,   Pages 529-538 doi: 10.1007/s11708-019-0624-0

Abstract: The general availability growth models for large scale complicated repairable system such as electricformulas for the maintenance coefficient, mathematical expressions for general availability growth modelsAvailability growth models for electric generating units, power station auxiliaries, and transmissionand distribution installations are given together with verification examples for availability growth modelstransmission and distribution installations conform to the power function, and general availability growth models

Keywords： repairable system     power equipment     electric generating unit     power station auxiliary     transmission and distribution installation     reliability     availability     availability growth model    

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Title Author Date Type Operation

Method for solving the nonlinear inverse problem in gas face seal diagnosis based on surrogate models

Journal Article

double-layer barrel vaults using genetic and pattern search algorithms and optimized neural network as surrogate

Journal Article

Reliability-based design optimization of offshore wind turbine support structures using RBF surrogate

Journal Article

An assessment of surrogate fuel using Bayesian multiple kernel learning model in sight of sooting tendency

Journal Article

approach for structural damage detection using meta-heuristic algorithms and group method of data handling surrogate

Hamed FATHNEJAT, Behrouz AHMADI-NEDUSHAN

Journal Article

Synergistic optimization framework for the process synthesis and design of biorefineries

Journal Article

A surrogate-based optimization algorithm for network design problems

Meng LI, Xi LIN, Xi-qun CHEN

Journal Article

A review on different theoretical models of electrocaloric effect for refrigeration

Journal Article

Predictive models on photolysis and photoinduced toxicity of persistent organic chemicals

Qing ZHANG

Journal Article

Empirical models and design codes in prediction of modulus of elasticity of concrete

Behnam VAKHSHOURI, Shami NEJADI

Journal Article

Managing economic and social profit of cooperative models in three-echelon reverse supply chain for waste

Jian Li, Zhen Wang, Bao Jiang

Journal Article

Impact analytical models for earthquake-induced pounding simulation

Kun YE, Li LI

Journal Article

Depth of cut models for multipass abrasive waterjet cutting of alumina ceramics with nozzle oscillation

Jun WANG

Journal Article

Using machine learning models to explore the solution space of large nonlinear systems underlying flowsheet

Journal Article

Availability growth models and verification of power equipment

Jinyuan SHI, Jiamin XU

Journal Article