Resource Type

Journal Article 586

Year

2023 47

2022 54

2021 42

2020 45

2019 46

2018 38

2017 41

2016 25

2015 26

2014 27

2013 23

2012 29

2011 11

2010 20

2009 12

2008 19

2007 21

2006 8

2005 9

2004 12

open ︾

Keywords

optimization 76

multi-objective optimization 24

genetic algorithm 20

topology optimization 19

Optimization 12

parametric study 7

Response surface methodology 6

design optimization 6

optimization design 6

particle swarm optimization 6

uncertainty 6

robust design 5

sensitivity analysis 5

Distributed optimization 4

artificial neural network 4

finite element analysis 4

level set method 4

parameter optimization 4

parametric analysis 4

open ︾

Search scope:

排序： Display mode:

Compressive strength prediction and optimization design of sustainable concrete based on squirrel search

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

Abstract: Concrete is the most commonly used construction material. However, its production leads to high carbon dioxide (CO2) emissions and energy consumption. Therefore, developing waste-substitutable concrete components is necessary. Improving the sustainability and greenness of concrete is the focus of this research. In this regard, 899 data points were collected from existing studies where cement, slag, fly ash, superplasticizer, coarse aggregate, and fine aggregate were considered potential influential factors. The complex relationship between influential factors and concrete compressive strength makes the prediction and estimation of compressive strength difficult. Instead of the traditional compressive strength test, this study combines five novel metaheuristic algorithms with extreme gradient boosting (XGB) to predict the compressive strength of green concrete based on fly ash and blast furnace slag. The intelligent prediction models were assessed using the root mean square error (RMSE), coefficient of determination (R2), mean absolute error (MAE), and variance accounted for (VAF). The results indicated that the squirrel search algorithm-extreme gradient boosting (SSA-XGB) yielded the best overall prediction performance with R2 values of 0.9930 and 0.9576, VAF values of 99.30 and 95.79, MAE values of 0.52 and 2.50, RMSE of 1.34 and 3.31 for the training and testing sets, respectively. The remaining five prediction methods yield promising results. Therefore, the developed hybrid XGB model can be introduced as an accurate and fast technique for the performance prediction of green concrete. Finally, the developed SSA-XGB considered the effects of all the input factors on the compressive strength. The ability of the model to predict the performance of concrete with unknown proportions can play a significant role in accelerating the development and application of sustainable concrete and furthering a sustainable economy.

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

HTML PDF Collect

Effect of variable heat capacities on performance of an irreversible Miller heat engine

Xingmei YE

Frontiers in Energy 2012, Volume 6, Issue 3,   Pages 280-284 doi: 10.1007/s11708-012-0203-0

Abstract: Based on the variable heat capacities of the working fluid, the irreversibility coming from the compression and expansion processes, and the heat leak losses through the cylinder wall, an irreversible cycle model of the Miller heat engine was established, from which expressions for the efficiency and work output of the cycle were derived. The performance characteristic curves of the Miller heat engine were generated through numerical calculation, from which the optimal regions of some main parameters such as the work output, efficiency and pressure ratio were determined. Moreover, the influence of the compression and expansion efficiencies, the variable heat capacities and the heat leak losses on the performance of the cycle was discussed in detail, and consequently, some significant results were obtained.

Keywords： Miller cycle     variable heat capacity     irreversibility     parametric optimization    

HTML PDF Collect

Parametric control of structural responses using an optimal passive tuned mass damper under stationary

Min-Ho CHEY, Jae-Ung KIM

Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 3,   Pages 267-280 doi: 10.1007/s11709-012-0170-x

Abstract: a passive tuned mass damper (TMD) system as a seismic damping device is outlined, highlighting the parametricoptimization approach for displacement and acceleration control.optimal damping ratio, to stationary Gaussian white noise acceleration are investigated by using a parametricoptimization procedure.clear performance improvements for the simplified model examined, and this means that the effective optimization

Keywords： tuned mass damper     parametric optimization     passive control     white noise     earthquake excitation    

HTML PDF Collect

Parametric sensitivity analysis of cellular diaphragm wall

Xi CHEN, Wei XU

Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 4,   Pages 358-364 doi: 10.1007/s11709-012-0177-3

Abstract: The deformation law of the cellular diaphragm wall in deep foundation pits was studied through numerical simulation. Based on the example of the dock wall in engineering, the full three-dimensional finite element model was used to simulate the excavation of the foundation pit. Interaction between the cellular diaphragm wall and the soil was also taken into account in the calculation. The results indicated that the maximum lateral displacement, which is the evaluation index of sensitivity analysis, appeared on the top of the interior longitudinal wall with an excavation depth of 10 m. The centrifuge model test was carried out to study the deformation regulation for a cellular diaphragm wall. The most sensitive factor was found by adjusting the length of the partition wall, the spacing of the partition wall and the thickness of the wall. In the end, a suggestion was proposed to optimize the cellular diaphragm by adjusting the length of the partition wall.

Keywords： cellular diaphragm wall     sensitivity analysis     optimization     centrifuge model test    

HTML PDF Collect

Concurrent optimization of structural topology and infill properties with a CBF-based level set method

Long JIANG, Yang GUO, Shikui CHEN, Peng WEI, Na LEI, Xianfeng David GU

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 2,   Pages 171-189 doi: 10.1007/s11465-019-0530-5

Abstract: In this paper, a parametric level-set-based topology optimization framework is proposed to concurrentlyThe concurrent optimization is achieved by a computational framework combining a new parametric levelWithin the proposed framework, both the structural boundary evolution and the effective infill property optimizationThis overcomes the intrinsic disadvantage of the conventional RBF-based parametric level set method,The isotropic infill achieved via the mesoscale topology optimization is conformally fit into the wrapping

Keywords： concurrent topology optimization     parametric level set method     cardinal basis function     shell-infill structure    

HTML PDF Collect

Parametric equations for notch stress concentration factors of rib–deck welds under bending loading

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3,   Pages 595-608 doi: 10.1007/s11709-021-0720-1

Abstract: Then, we performed a parametric analysis to investigate the effects of multiple geometric parameters

Keywords： notch stress concentration factor     rib–deck weld     parametric analysis     regression analysis     parametric    

HTML PDF Collect

Building information modeling based on intelligent parametric technology

ZENG Xudong, TAN Jie

Frontiers of Structural and Civil Engineering 2007, Volume 1, Issue 3,   Pages 367-370 doi: 10.1007/s11709-007-0049-4

Abstract: China’s building industry, the author studies building information modeling (BIM) based on intelligent parametrictwo-dimensional CAD technology, and demonstrates the advantages and characteristics of intelligent parametricBuilding information modeling, which is based on intelligent parametric modeling technology, will certainly
HTML PDF Collect

Seismic fragility curves for structures using non-parametric representations

Chu MAI, Katerina KONAKLI, Bruno SUDRET

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 2,   Pages 169-186 doi: 10.1007/s11709-017-0385-y

Abstract: The classical approach relies on assuming a lognormal shape of the fragility curves; it is thus parametricIn this paper, we introduce two non-parametric approaches to establish the fragility curves without employingThe curves obtained with the non-parametric approaches are compared with respective curves based on the

Keywords： earthquake engineering     fragility curves     lognormal assumption     non-parametric approach     kernel density estimation    

HTML PDF Collect

Innovative seismic retrofitting strategy of added stories isolation system

Min-Ho CHEY, J. Geoffrey CHASE, John B. MANDER, Athol J. CARR

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 1,   Pages 13-23 doi: 10.1007/s11709-013-0195-9

Abstract: The seismic performance of “added stories isolation” (ASI) systems are investigated for 12-story moment resisting frames. The newly added and isolated upper stories on the top of the existing structure are rolled to act as a large tuned mass damper (TMD) to overcome the limitation of the size of tuned mass, resulting to “12+2” and “12+4” stories building configurations. The isolation layer, as a core design strategy, is optimally designed based on optimal TMD design principle, entailing the insertion of passive flexible laminated rubber bearings to segregate two or four upper stories from a conventionally constructed lower superstructure system. Statistical performance metrics are presented for 30 earthquake records from the 3 suites of the SAC project. Time history analyses are used to compute various response performances and reduction factors across a wide range of seismic hazard intensities. Results show that ASI systems can effectively manage seismic response for multi-degree-of freedom (MDOF) systems across a broader range of ground motions without requiring burdensome extra mass. Specific results include the identification of differences in the number of added story by which the suggested isolation systems remove energy.

Keywords： added stories     seismic isolation     tuned mass damper     parametric optimization     statistical method    

HTML PDF Collect

An efficient bi-objective optimization framework for statistical chip-level yield analysis under parameter

Xin LI,Jin SUN,Fu XIAO,Jiang-shan TIAN

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 2,   Pages 160-172 doi: 10.1631/FITEE.1500168

Abstract: of process, voltage, and temperature (PVT) parameters significantly impacts the yield analysis and optimizationWe suggest a novel bi-objective optimization framework based on Chebyshev affine arithmetic (CAA) andThen a power-delay bi-objective optimization model is formulated by computation of cumulative distributionFinally, the AWS method is applied for power-delay optimization to generate a well-distributed set of

Keywords： Parameter variations     Parametric yield     Multi-objective optimization     Chebyshev affine     Adaptive weighted    

HTML PDF Collect

Parametric oscillation of cables and aerodynamic effect

Yong XIA, Jing ZHANG, Youlin XU, Yozo FUJINO,

Frontiers of Structural and Civil Engineering 2010, Volume 4, Issue 3,   Pages 321-325 doi: 10.1007/s11709-010-0028-z

Abstract: This paper addresses the aerodynamic effect on the nonlinear oscillation, particularly parametric vibration

Keywords： parametric vibration     cables     cable-stayed bridge     nonlinear vibration    

HTML PDF Collect

Parametric study on seismic performance of self-centering reinforced concrete column with bottom-placed

Frontiers of Structural and Civil Engineering   Pages 1145-1162 doi: 10.1007/s11709-023-0945-2

Abstract: Extensive parametric studies pertaining to SRRC columns have been conducted to investigate the critical

Keywords： seismic resilience     self-centering     rubber layer     flag-shaped hysteresis loop     parametric study    

HTML PDF Collect

Nonlinear Model-Based Process Operation under Uncertainty Using Exact Parametric Programming

Vassilis M. Charitopoulos,Lazaros G. Papageorgiou,Vivek Dua

Engineering 2017, Volume 3, Issue 2,   Pages 202-213 doi: 10.1016/J.ENG.2017.02.008

Abstract:

In the present work, two new, (multi-)parametric programming (mp-P)-inspired algorithms for the solutionlogarithmic terms, with the first one being developed for the deterministic case, and the second for the parametric

Keywords： Parametric programming     Uncertainty     Process synthesis     Mixed-integer nonlinear programming     Symbolic manipulation    

HTML PDF Collect

Parametric study of hexagonal castellated beams in post-tensioned self-centering steel connections

Hassan ABEDI SARVESTANI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 5,   Pages 1020-1035 doi: 10.1007/s11709-019-0534-6

Abstract: The effects of important parameters (beam reinforcing plates, initial post-tensioning, and material properties of steel angles) on the behavior of hexagonal castellated beams in post-tensioned self-centering (PTSC) connections undergone cyclic loading up to 4% lateral drift have been investigated by finite element (FE) analysis using ABAQUS. The PTSC connection is comprised of bolted top and bottom angles as energy dissipaters and steel strands to provide self-centering capacity. The FE analysis has also been validated against the experimental test. The new formulations derived from analytical method has been proposed to predict bending moment of PTSC connections. The web-post buckling in hexagonal castellated beams has been identified as the dominant failure mode when excessive initial post-tensioning force is applied to reach greater bending moment resistance, so it is required to limit the highest initial post-tensioning force to prevent this failure. Furthermore, properties of steel material has been simulated using bilinear elastoplastic modeling with 1.5% strain-hardening which has perfectly matched with the real material of steel angles. It is recommended to avoid using steel angles with high yielding strength since they lead to the yielding of bolt shank. The necessity of reinforcing plates to prevent beam flange from local buckling has been reaffirmed.

Keywords： finite element analysis     hexagonal castellated beam     parametric study     post-tensioned self-centering steel    

HTML PDF Collect

difference analysis of shallow sprayed concrete tunnels crossing a reverse fault or a normal fault: A parametric

Masoud RANJBARNIA, Milad ZAHERI, Daniel DIAS

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 4,   Pages 998-1011 doi: 10.1007/s11709-020-0621-8

Abstract: the accuracy of the numerical simulation predictions with the centrifuge physical model results, a parametric

Keywords： urban tunnel     sprayed concrete     reverse fault     normal fault     finite difference analysis    

HTML PDF Collect

Title Author Date Type Operation

Compressive strength prediction and optimization design of sustainable concrete based on squirrel search

Journal Article

Effect of variable heat capacities on performance of an irreversible Miller heat engine

Xingmei YE

Journal Article

Parametric control of structural responses using an optimal passive tuned mass damper under stationary

Min-Ho CHEY, Jae-Ung KIM

Journal Article

Parametric sensitivity analysis of cellular diaphragm wall

Xi CHEN, Wei XU

Journal Article

Concurrent optimization of structural topology and infill properties with a CBF-based level set method

Long JIANG, Yang GUO, Shikui CHEN, Peng WEI, Na LEI, Xianfeng David GU

Journal Article

Parametric equations for notch stress concentration factors of rib–deck welds under bending loading

Journal Article

Building information modeling based on intelligent parametric technology

ZENG Xudong, TAN Jie

Journal Article

Seismic fragility curves for structures using non-parametric representations

Chu MAI, Katerina KONAKLI, Bruno SUDRET

Journal Article

Innovative seismic retrofitting strategy of added stories isolation system

Min-Ho CHEY, J. Geoffrey CHASE, John B. MANDER, Athol J. CARR

Journal Article

An efficient bi-objective optimization framework for statistical chip-level yield analysis under parameter

Xin LI,Jin SUN,Fu XIAO,Jiang-shan TIAN

Journal Article

Parametric oscillation of cables and aerodynamic effect

Yong XIA, Jing ZHANG, Youlin XU, Yozo FUJINO,

Journal Article

Parametric study on seismic performance of self-centering reinforced concrete column with bottom-placed

Journal Article

Nonlinear Model-Based Process Operation under Uncertainty Using Exact Parametric Programming

Vassilis M. Charitopoulos,Lazaros G. Papageorgiou,Vivek Dua

Journal Article

Parametric study of hexagonal castellated beams in post-tensioned self-centering steel connections

Hassan ABEDI SARVESTANI

Journal Article

difference analysis of shallow sprayed concrete tunnels crossing a reverse fault or a normal fault: A parametric

Masoud RANJBARNIA, Milad ZAHERI, Daniel DIAS

Journal Article