Resource Type

Journal Article 1600

Conference Videos 29

Conference Information 2

Year

2024 62

2023 91

2022 121

2021 106

2020 79

2019 104

2018 85

2017 87

2016 65

2015 85

2014 80

2013 63

2012 80

2011 72

2010 73

2009 48

2008 71

2007 86

2006 36

2005 24

open ︾

Keywords

finite element analysis 30

sensitivity analysis 25

analysis 17

numerical analysis 17

simulation 13

isogeometric analysis 12

risk analysis 12

dynamic analysis 11

finite element method 11

meta-analysis 11

China 8

artificial neural network 8

numerical simulation 8

different 7

regression analysis 7

correlation analysis 6

engineering 6

finite element analysis (FEA) 6

reliability analysis 6

open ︾

Search scope:

排序： Display mode:

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: of rib–deck welds requires notch stress concentration factors obtained from complex finite element analysisThen, we performed a parametric analysis to investigate the effects of multiple geometric parametersOn this basis, the multiple linear stepwise regression analysis was performed to obtain the optimal regressionconcentration factors estimated from the developed formulas show agree well with the finite element analysis

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

HTML PDF Collect

Three-dimensional parametric contact analysis of planetary roller screw mechanism and its application

Frontiers of Mechanical Engineering 2024, Volume 19, Issue 1, doi: 10.1007/s11465-023-0775-x

Abstract: In this study, a three-dimensional parametric analysis method of contact characteristics is proposedBased on the proposed three-dimensional parametric contact characteristics analysis method, the Fuzzy

Keywords： planetary roller screw mechanism (PRSM)     contact position     axial clearance     machining error     grouping for selective assembly    

HTML PDF Collect

Three-dimensional finite difference analysis of shallow sprayed concrete tunnels crossing a reverse faultor a normal fault: A parametric study

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: movement on a transversely crossing shallow shotcreted tunnel are investigated by 3D finite difference analysisthe 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

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: results indicated that the maximum lateral displacement, which is the evaluation index of sensitivity analysis

Keywords： cellular diaphragm wall     sensitivity analysis     optimization     centrifuge model test    

HTML PDF Collect

Predicting lateral displacement caused by seismic liquefaction and performing parametric sensitivityanalysis: Considering cumulative absolute velocity and fine content

Nima PIRHADI, Xiaowei TANG, Qing YANG, Afshin ASADI, Hazem Samih MOHAMED

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 506-519 doi: 10.1007/s11709-021-0677-0

Abstract: Additionally, according to the uncertainties in the geotechnical and earthquake parameters, sensitivity analysis

Keywords： spreading displacement     cumulative absolute velocity     fine content     artificial neural network     sensitivity analysis    

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: connections undergone cyclic loading up to 4% lateral drift have been investigated by finite element (FE) analysisThe FE analysis has also been validated against the experimental test.

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

HTML PDF Collect

Parametric analysis and design equation of ultimate capacity for unstiffened overlapped CHS K-joints

CHEN Yu, ZHAO Xianzhong, CHEN Yiyi

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 2,   Pages 107-115 doi: 10.1007/s11709-008-0014-x

Abstract: The results of finite element parametric analysis indicate that the brace-to-chord thickness ratio haspredicting the ultimate capacity of overlapped CHS K-joints was derived by applying multivariate regression analysis

Keywords： regression analysis     consistent     unstiffened     plasticity     overlapped    

HTML PDF Collect

Compressive strength prediction and optimization design of sustainable concrete based on squirrel search algorithm-extreme gradient boosting technique

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 9,   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     parametricanalysis    

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

An efficient prediction framework for multi-parametric yield analysis under parameter variations Article

Xin LI,Jin SUN,Fu XIAO

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 12,   Pages 1344-1359 doi: 10.1631/FITEE.1601225

Abstract: Previous algorithms on parametric yield prediction are limited to predicting a single-parametric yieldor per-forming balanced optimization for several single-parametric yields.In this paper we suggest an efficient multi-parametric yield prediction framework, in which multipleFinally, a copula-based parametric yield prediction procedure has been developed to solve the multi-parametriclimits, or a multi-parametric yield surface under all ranges of performance limits.

Keywords： Yield prediction     Parameter variations     Multi-parametric yield     Performance modeling     Sparse representation    

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

A comprehensive comparison of different regression techniques and nature-inspired optimization algorithms to predict carbonation depth of recycled aggregate concrete

Frontiers of Structural and Civil Engineering 2023, Volume 18, Issue 1,   Pages 30-50 doi: 10.1007/s11709-024-1041-y

Abstract: The utilization of recycled aggregates (RA) for concrete production has the potential to offer substantial environmental and economic advantages. However, RA concrete is plagued with considerable durability concerns, particularly carbonation. To advance the application of RA concrete, the establishment of a reliable model for predicting the carbonation is needed. On the one hand, concrete carbonation is a long and slow process and thus consumes a lot of time and energy to monitor. On the other hand, carbonation is influenced by many factors and is hard to predict. Regarding this, this paper proposes the use of machine learning techniques to establish accurate prediction models for the carbonation depth (CD) of RA concrete. Three types of regression techniques and meta-heuristic algorithms were employed to provide more alternative predictive tools. It was found that the best prediction performance was obtained from extreme gradient boosting-multi-universe optimizer (XGB-MVO) with R2 value of 0.9949 and 0.9398 for training and testing sets, respectively. XGB-MVO was used for evaluating physical laws of carbonation and it was found that the developed XGB-MVO model could provide reasonable predictions when new data were investigated. It also showed better generalization capabilities when compared with different models in the literature. Overall, this paper emphasizes the need for sustainable solutions in the construction industry to reduce its environmental impact and contribute to sustainable and low-carbon economies.

Keywords： concrete     carbonation depth     nature-inspired optimization algorithms     extreme gradient boosting technique     parametricanalysis    

HTML PDF Collect

Numerical modelling of reinforced concrete flexural members strengthened using textile reinforced mortars

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 4,   Pages 649-668 doi: 10.1007/s11709-023-0919-4

Abstract: This study employs a finite element analysis technique to investigate the failing failure of carbon textileMoreover, a parametric study was conducted to verify the applicability of the numerical model and study

Keywords： fiber reinforced polymer     textile reinforced mortar     finite element analysis     concrete damage plasticity     calibration and validation     parametric study    

HTML PDF Collect

Parametric computational study on butterfly-shaped hysteretic dampers

Ali Reza FARZAMPOUR, Matthew Roy EATHERTON

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 5,   Pages 1214-1226 doi: 10.1007/s11709-019-0550-6

Abstract: A parametric computational study is conducted to investigate the shear yielding, flexural yielding, and

Keywords： structural fuse     hysteretic damper     finite element analysis     energy dissipation     initial imperfection     butterfly-shaped    

HTML PDF Collect

Reassessment of fenestration characteristics for residential buildings in hot climates: energy and economic analysis

Ali ALAJMI, Hosny ABOU-ZIYAN, Hamad H. Al-MUTAIRI

Frontiers in Energy 2022, Volume 16, Issue 4,   Pages 629-650 doi: 10.1007/s11708-021-0799-z

Abstract: The cost analysis shows that the high-performance windows without solar shading are cost-effective as

Keywords： parametric analysis     high-performance window     window-to-wall ratio (WWR)     facade orientation     solar shading     cost analysis    

HTML PDF Collect

Title Author Date Type Operation

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

Journal Article

Three-dimensional parametric contact analysis of planetary roller screw mechanism and its application

Journal Article

Three-dimensional finite difference analysis of shallow sprayed concrete tunnels crossing a reverse faultor a normal fault: A parametric study

Masoud RANJBARNIA, Milad ZAHERI, Daniel DIAS

Journal Article

Parametric sensitivity analysis of cellular diaphragm wall

Xi CHEN, Wei XU

Journal Article

Predicting lateral displacement caused by seismic liquefaction and performing parametric sensitivityanalysis: Considering cumulative absolute velocity and fine content

Nima PIRHADI, Xiaowei TANG, Qing YANG, Afshin ASADI, Hazem Samih MOHAMED

Journal Article

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

Hassan ABEDI SARVESTANI

Journal Article

Parametric analysis and design equation of ultimate capacity for unstiffened overlapped CHS K-joints

CHEN Yu, ZHAO Xianzhong, CHEN Yiyi

Journal Article

Compressive strength prediction and optimization design of sustainable concrete based on squirrel search algorithm-extreme gradient boosting technique

Journal Article

Building information modeling based on intelligent parametric technology

ZENG Xudong, TAN Jie

Journal Article

An efficient prediction framework for multi-parametric yield analysis under parameter variations

Xin LI,Jin SUN,Fu XIAO

Journal Article

Seismic fragility curves for structures using non-parametric representations

Chu MAI, Katerina KONAKLI, Bruno SUDRET

Journal Article

A comprehensive comparison of different regression techniques and nature-inspired optimization algorithms to predict carbonation depth of recycled aggregate concrete

Journal Article

Numerical modelling of reinforced concrete flexural members strengthened using textile reinforced mortars

Journal Article

Parametric computational study on butterfly-shaped hysteretic dampers

Ali Reza FARZAMPOUR, Matthew Roy EATHERTON

Journal Article

Reassessment of fenestration characteristics for residential buildings in hot climates: energy and economic analysis

Ali ALAJMI, Hosny ABOU-ZIYAN, Hamad H. Al-MUTAIRI

Journal Article