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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

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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

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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

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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

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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

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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

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

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 parametricanalysis

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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

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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

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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

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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

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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

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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 vibrationVia numerical analysis, the stability condition of the cable in terms of wind speed is derived.

Keywords： parametric vibration cables cable-stayed bridge nonlinear vibration

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Modeling of bentonite/sepiolite plastic concrete compressive strength using artificial neural network and support vector machine

Ali Reza GHANIZADEH, Hakime ABBASLOU, Amir Tavana AMLASHI, Pourya ALIDOUST

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1, Pages 215-239 doi: 10.1007/s11709-018-0489-z

Abstract: Also, Sensitivity analysis of the best obtained model indicated that cement and silty clay have the maximumdifferent variables on the plastic concrete compressive strength values was evaluated by conducting parametric

Keywords： bentonite/sepiolite plastic concrete compressive strength artificial neural network support vector machine parametricanalysis

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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

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Title Author Date Type Operation

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

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

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

Journal Article