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prediction and optimization design of sustainable concrete based on squirrel search algorithm-extreme gradientboosting technique

Frontiers of Structural and Civil Engineering   Pages 1310-1325 doi: 10.1007/s11709-023-0997-3

Abstract: traditional compressive strength test, this study combines five novel metaheuristic algorithms with extreme gradientboosting (XGB) to predict the compressive strength of green concrete based on fly ash and blast furnaceThe results indicated that the squirrel search algorithm-extreme gradient boosting (SSA-XGB) yielded

Keywords： sustainable concrete     fly ash     slay     extreme gradient boosting technique     squirrel search algorithm    

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Predicting shear strength of slender beams without reinforcement using hybrid gradient boosting trees

Thuy-Anh NGUYEN; Hai-Bang LY; Van Quan TRAN

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 10,   Pages 1267-1286 doi: 10.1007/s11709-022-0842-0

Abstract: Gradient Boosting (GB) technique was developed and evaluated in combination with three different optimization

Keywords： slender beam     shear strength     gradient boosting     optimization algorithms    

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Machine learning enabled prediction and process optimization of VFA production from riboflavin-mediated sludge fermentation

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 11, doi: 10.1007/s11783-023-1735-8

Abstract:

● Data-driven approach was used to simulate VFA production from WAS fermentation.

Keywords： Machine learning     Volatile fatty acids     Riboflavin     Waste activated sludge     eXtreme Gradient Boosting    

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SPT based determination of undrained shear strength: Regression models and machine learning

Walid Khalid MBARAK, Esma Nur CINICIOGLU, Ozer CINICIOGLU

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 1,   Pages 185-198 doi: 10.1007/s11709-019-0591-x

Abstract: of simple and multiple linear regression models, three machine learning algorithms, random forest, gradientboosting and stacked models, are developed for prediction of undrained shear strength.

Keywords： undrained shear strength     linear regression     random forest     gradient boosting     machine learning     standard    

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Application of machine learning technique for predicting and evaluating chloride ingress in concrete

Van Quan TRAN; Van Loi GIAP; Dinh Phien VU; Riya Catherine GEORGE; Lanh Si HO

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 9,   Pages 1153-1169 doi: 10.1007/s11709-022-0830-4

Abstract: This research aims at predicting the chloride content in concrete using three hybrid models of gradientboosting (GB), artificial neural network (ANN), and random forest (RF) in combination with particle

Keywords： gradient boosting     random forest     chloride content     concrete     sensitivity analysis.    

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Assessment of different machine learning techniques in predicting the compressive strength of self-compacting concrete

Van Quan TRAN; Hai-Van Thi MAI; Thuy-Anh NGUYEN; Hai-Bang LY

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 7,   Pages 928-945 doi: 10.1007/s11709-022-0837-x

Abstract: successfully predicted from mix design and curing age by a machine learning (ML) technique named the Extreme GradientBoosting (XGB) algorithm, including non-hybrid and hybrid models.K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Decision Trees (DTR), Random Forest (RF), GradientBoosting (GB), and Artificial Neural Network using two training algorithms LBFGS and SGD (denoted as

Keywords： strength     self-compacting concrete     machine learning techniques     particle swarm optimization     extreme gradientboosting    

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Vibration analysis of nano-structure multilayered graphene sheets using modified strain gradient theory

Amir ALLAHBAKHSHI,Masih ALLAHBAKHSHI

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 2,   Pages 187-197 doi: 10.1007/s11465-015-0339-9

Abstract:

In this paper, for the first time, the modified strain gradient theory is used as a new size-dependentAfter obtaining the governing equations based on modified strain gradient theory via principle of minimum

Keywords： graphene     van der Waals (vdW) force     modi- fied strain gradient elasticity theory     size effect parameter    

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Velocity gradient elasticity for nonlinear vibration of carbon nanotube resonators

Hamid M. SEDIGHI, Hassen M. OUAKAD

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1520-1530 doi: 10.1007/s11709-020-0672-x

Abstract: undertake two models to capture the nanostructure nonlocal size effects: the strain and the velocity gradientThe structural nonlinear behavior of the system assuming both strain and velocity gradient theories is

Keywords： velocity gradient elasticity theory     nanotube resonators     differential-quadrature method     nonlinear vibration    

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Photoreduction adjusted surface oxygen vacancy of BiMoO for boosting photocatalytic redox performance

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 12,   Pages 1937-1948 doi: 10.1007/s11705-023-2353-5

Abstract: In this study, Bi2MoO6 with adjustable rich oxygen vacancies was prepared by a novel and simple solvothermal-photoreduction method which might be suitable for a large-scale production. The experiment results show that Bi2MoO6 with rich oxygen vacancies is an excellent photocatalyst. The photocatalytic ability of BMO-10 is 0.3 and 3.5 times higher than that of the pristine Bi2MoO6 for Rhodamine B degradation and Cr(VI) reduction, respectively. The results display that the band energy of the samples with oxygen vacancies was narrowed and the light absorption was broadened. Meanwhile, the efficiency of photogenerated electron-holes was increased and the separation and transfer speed of photogenerated carriers were improved. Therefore, this work provides a convenient and efficient method to prepare potential adjustable oxygen vacancy based photocatalysts to eliminate the pollution of dyes and Cr(VI) in water.

Keywords： Bi2MoO6     oxygen vacancies     photoreduction     Cr(VI)     RhB    

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Gradient-based compressive image fusion

Yang CHEN,Zheng QIN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 3,   Pages 227-237 doi: 10.1631/FITEE.1400217

Abstract: We present a novel image fusion scheme based on gradient and scrambled block Hadamard ensemble (SBHE)In the fusion phase, the image gradient is calculated to reflect the abundance of its contour informationBy compositing the gradient of each image, gradient-based weights are obtained, with which compressiveSimulation results demonstrate that the gradient-based scheme has the best performance, in terms of bothFurthermore, the gradient-based fusion scheme proposed in this paper can be applied in different fusion

Keywords： Compressive sensing (CS)     Image fusion     Gradient-based image fusion     CS-based image fusion    

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Influence of freeze–thaw damage gradient on stress–strain relationship of stressed concrete

Frontiers of Structural and Civil Engineering   Pages 1326-1340 doi: 10.1007/s11709-023-0014-x

Abstract: Influence of freeze–thaw damage gradient on stress–strain relationship of stressed concrete

Keywords： strain relationship concrete    

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Preparation of hydrogels with uniform and gradient chemical structures using dialdehyde cellulose and

Peiwen Liu, Carsten Mai, Kai Zhang

Frontiers of Chemical Science and Engineering 2018, Volume 12, Issue 3,   Pages 383-389 doi: 10.1007/s11705-018-1718-7

Abstract: In addition, a method for in situ preparation of gradient hydrogels is still lacking.Herein, we report the formation of hydrogels with either uniform or gradient internal structures viaAs-prepared hydrogels exhibited uniform microscopic and chemical structure or gradient distribution ofMoreover, this controllable process of aerating NH3 gas allows the in situ formation of gradienthydrogels; for instance, by using cyanamide as a reaction counterpart, gradient hydrogels with gradient

Keywords： hydrogel     uniform     gradient     dialdehyde cellulose     ammonia gas     diamine    

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A three-dimensional two-level gradient smoothing meshfree method for rainfall induced landslide simulations

Dongdong WANG, Jiarui WANG, Junchao WU, Junjun DENG, Ming SUN

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 2,   Pages 337-352 doi: 10.1007/s11709-018-0467-5

Abstract: A three-dimensional two-level gradient smoothing meshfree method is presented for rainfall induced landslideIt is shown that due to the successive gradient smoothing operation without the requirement of derivativecomputation in the present formulation, the two-level smoothed gradient of meshfree shape function iscapable of achieving a given influence domain more efficiently than the standard gradient of meshfreeSubsequently, the two-level smoothed gradient of meshfree shape function is employed to discretize the

Keywords： meshfree method     landslide     rainfall     three-dimensional two-level gradient smoothing     nodal integration    

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Floret-like Fe–N nanoparticle-embedded porous carbon superstructures from a Fe-covalent triazine polymer boosting

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 5,   Pages 525-535 doi: 10.1007/s11705-022-2232-5

Abstract: Fe–Nx nanoparticles-embedded porous carbons with a desirable superstructure have attracted immense attention as promising catalysts for electrochemical oxygen reduction reaction. Herein, we employed Fe-coordinated covalent triazine polymer for the fabrication of Fe–Nx nanoparticle-embedded porous carbon nanoflorets (Fe/N@CNFs) employing a hypersaline-confinement-conversion strategy. Presence of tailored N types within the covalent triazine polymer interwork in high proportions contributes to the generation of Fe/N coordination and subsequent Fe–Nx nanoparticles. Owing to the utilization of NaCl crystals, the resultant Fe/N@CNF-800 which was generated by pyrolysis at 800 °C showed nanoflower structure and large specific surface area, which remarkably suppressed the agglomeration of high catalytic active sites. As expect, the Fe/N@CNF-800 exhibited unexpected oxygen reduction reaction catalytic performance with an ultrahigh half-wave potential (0.89 V vs. reversible hydrogen electrode), a dominant 4e– transfer approach and great cycle stability (> 92% after 100000 s). As a demonstration, the Fe/N-PCNF-800-assembled zinc–air battery delivered a high open circuit voltage of 1.51 V, a maximum peak power density of 164 mW·cm–2, as well as eminent rate performance, surpassing those of commercial Pt/C. This contribution offers a valuable avenue to exploit efficient metal nanoparticles-based carbon catalysts towards energy-related electrocatalytic reactions and beyond.

Keywords： Fe–Nx nanoparticles     hypersaline-confinement conversion     floret-like carbon     covalent triazine polymers     oxygen reduction reaction    

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Effects of gradient concentration on the microstructure and electrochemical performance of LiNi

Wenming Li, Weijian Tang, Maoqin Qiu, Qiuge Zhang, Muhammad Irfan, Zeheng Yang, Weixin Zhang

Frontiers of Chemical Science and Engineering 2020, Volume 14, Issue 6,   Pages 988-996 doi: 10.1007/s11705-020-1918-9

Abstract: The design of gradient concentration (GC) particles with Ni-rich inside and Mn-rich outside is provedrationally-designed co-precipitation process for fabricating the Ni-rich layered cathode materials with gradient

Keywords： gradient concentration     Ni-rich     LiNi0.6Co0.2-Mn0.2O2     electrochemical    

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Title Author Date Type Operation

prediction and optimization design of sustainable concrete based on squirrel search algorithm-extreme gradientboosting technique

Journal Article

Predicting shear strength of slender beams without reinforcement using hybrid gradient boosting trees

Thuy-Anh NGUYEN; Hai-Bang LY; Van Quan TRAN

Journal Article

Machine learning enabled prediction and process optimization of VFA production from riboflavin-mediated sludge fermentation

Journal Article

SPT based determination of undrained shear strength: Regression models and machine learning

Walid Khalid MBARAK, Esma Nur CINICIOGLU, Ozer CINICIOGLU

Journal Article

Application of machine learning technique for predicting and evaluating chloride ingress in concrete

Van Quan TRAN; Van Loi GIAP; Dinh Phien VU; Riya Catherine GEORGE; Lanh Si HO

Journal Article

Assessment of different machine learning techniques in predicting the compressive strength of self-compacting concrete

Van Quan TRAN; Hai-Van Thi MAI; Thuy-Anh NGUYEN; Hai-Bang LY

Journal Article

Vibration analysis of nano-structure multilayered graphene sheets using modified strain gradient theory

Amir ALLAHBAKHSHI,Masih ALLAHBAKHSHI

Journal Article

Velocity gradient elasticity for nonlinear vibration of carbon nanotube resonators

Hamid M. SEDIGHI, Hassen M. OUAKAD

Journal Article

Photoreduction adjusted surface oxygen vacancy of BiMoO for boosting photocatalytic redox performance

Journal Article

Gradient-based compressive image fusion

Yang CHEN,Zheng QIN

Journal Article

Influence of freeze–thaw damage gradient on stress–strain relationship of stressed concrete

Journal Article

Preparation of hydrogels with uniform and gradient chemical structures using dialdehyde cellulose and

Peiwen Liu, Carsten Mai, Kai Zhang

Journal Article

A three-dimensional two-level gradient smoothing meshfree method for rainfall induced landslide simulations

Dongdong WANG, Jiarui WANG, Junchao WU, Junjun DENG, Ming SUN

Journal Article

Floret-like Fe–N nanoparticle-embedded porous carbon superstructures from a Fe-covalent triazine polymer boosting

Journal Article

Effects of gradient concentration on the microstructure and electrochemical performance of LiNi

Wenming Li, Weijian Tang, Maoqin Qiu, Qiuge Zhang, Muhammad Irfan, Zeheng Yang, Weixin Zhang

Journal Article