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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: (BIM) based on intelligent parametric modeling technology.Building information modeling is a new technology in the field of computer aided architectural designtwo-dimensional CAD technology, and demonstrates the advantages and characteristics of intelligent parametricmodeling technology.Building 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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Modeling of bentonite/sepiolite plastic concrete compressive strength using artificial neural network

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: different 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     parametric    

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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: 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    

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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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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    

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Buckling optimization of curvilinear fiber-reinforced composite structures using a parametric level set

Frontiers of Mechanical Engineering 2024, Volume 19, Issue 1, doi: 10.1007/s11465-023-0780-0

Abstract: Owing to their excellent performance and large design space, curvilinear fiber-reinforced composite structures have gained considerable attention in engineering fields such as aerospace and automobile. In addition to the stiffness and strength of such structures, their stability also needs to be taken into account in the design. This study proposes a level-set-based optimization framework for maximizing the buckling load of curvilinear fiber-reinforced composite structures. In the proposed method, the contours of the level set function are used to represent fiber paths. For a composite laminate with a certain number of layers, one level set function is defined by radial basis functions and expansion coefficients for each layer. Furthermore, the fiber angle at an arbitrary point is the tangent orientation of the contour through this point. In the finite element of buckling, the stiffness and geometry matrices of an element are related to the fiber angle at the element centroid. This study considers the parallelism constraint for fiber paths. With the sensitivity calculation of the objective and constraint functions, the method of moving asymptotes is utilized to iteratively update all the expansion coefficients regarded as design variables. Two numerical examples under different boundary conditions are given to validate the proposed approach. Results show that the optimized curved fiber paths tend to be parallel and equidistant regardless of whether the composite laminates contain holes or not. Meanwhile, the buckling resistance of the final design is significantly improved.

Keywords： buckling optimization     curvilinear fiber     composite structure     level set method     manufacturing constraint    

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

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 8,   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    

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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    

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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    

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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: Furthermore, properties of steel material has been simulated using bilinear elastoplastic modeling with

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

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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 parametricoptimal damping ratio, to stationary Gaussian white noise acceleration are investigated by using a parametric

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

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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    

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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    

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Predicting lateral displacement caused by seismic liquefaction and performing parametric sensitivity

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: Lateral displacement due to liquefaction ( ) is the most destructive effect of earthquakes in saturated loose or semi-loose sandy soil. Among all earthquake parameters, the standardized cumulative absolute velocity ( ) exhibits the largest correlation with increasing pore water pressure and liquefaction. Furthermore, the complex effect o fine content( ) at different values has been studied and demonstrated. Nevertheless, these two contexts have not been entered into empirical and semi-empirical models to predict This study bridges this gap by adding to the data set and developing two artificial neural network (ANN) models. The first model is based on the entire range of the parameters, whereas the second model is based on the samples with values that are less than the 28% critical value. The results demonstrate the higher accuracy of the second model that is developed even with less data. Additionally, according to the uncertainties in the geotechnical and earthquake parameters, sensitivity analysis was performed via Monte Carlo simulation (MCS) using the second developed ANN model that exhibited higher accuracy. The results demonstrated the significant influence of the uncertainties of earthquake parameters on predicting

Keywords： lateral spreading displacement     cumulative absolute velocity     fine content     artificial neural network     sensitivity analysis     Monte Carlo simulation    

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Title Author Date Type Operation

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

Modeling of bentonite/sepiolite plastic concrete compressive strength using artificial neural network

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

Journal Article

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

Journal Article

Seismic fragility curves for structures using non-parametric representations

Chu MAI, Katerina KONAKLI, Bruno SUDRET

Journal Article

Parametric oscillation of cables and aerodynamic effect

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

Journal Article

Buckling optimization of curvilinear fiber-reinforced composite structures using a parametric level set

Journal Article

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

Journal Article

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

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

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

Min-Ho CHEY, Jae-Ung KIM

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

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

Xingmei YE

Journal Article

Predicting lateral displacement caused by seismic liquefaction and performing parametric sensitivity

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

Journal Article