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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    

Nonlinear restoring force identification based on measured time series

Xu Bin,He Jia

Strategic Study of CAE 2011, Volume 13, Issue 9,   Pages 76-82

Abstract:

In this study, a general nonlinear restoring force (NRF) identification approach using structural dynamic response measurements and complete excitations is proposed at first. In this approach, the least-squares technique is employed to identify the parameters of an equivalent linear system of the nonlinear structure model based on the external excitations and the corresponding response measurements. The proposed approach is developed when the structure to be identified is incompletely excited. Both of the approaches are validated with a 4-story frame structure equipped with smart devices of magneto-rheological (MR) damper to simulate nonlinear performance. The identified NRF of the structure is compared with the test measurements. Results show that the proposed data-based approaches are capable of identifying the nonlinear restoring behavior of engineering structures and have the potential to be employed to evaluate the damage initiation and development procedure of engineering structures under dynamic loads.

Keywords: nonlinear restoring force identification     MR damper     least-squares techniques     equivalent linear system     non-parametric    

Implementation of an adaptive feed speed 3D NURBS interpolation algorithm

LIANG Hong-bin, WANG Yong-zhang, LI Xia

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 4,   Pages 403-408 doi: 10.1007/s11465-006-0047-6

Abstract: NURBS (non-uniform rational B-spline) interpolation algorithms have been provided in modern CNC (computerIn order to deal with this problem, an adaptive feed speed interpolation algorithm for 3D NURBS parametric

Keywords: NURBS parametric     rational B-spline     second-order     non-uniform rational     precision    

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    

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

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    

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    

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    

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    

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    

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    

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    

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    

Bevacizumab in combination with pemetrexed and platinum for elderly patients with advanced non-squamousnon-small-cell lung cancer: a retrospective analysis

Frontiers of Medicine 2022, Volume 16, Issue 4,   Pages 610-617 doi: 10.1007/s11684-021-0827-8

Abstract: anti-VEGF monoclonal antibody, has significantly improved the clinical outcomes of patients with advanced non-squamous

Keywords: bevacizumab     elderly patient     advanced non-small-cell lung cancer     overall survival     toxicity    

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    

Title Author Date Type Operation

Seismic fragility curves for structures using non-parametric representations

Chu MAI, Katerina KONAKLI, Bruno SUDRET

Journal Article

Nonlinear restoring force identification based on measured time series

Xu Bin,He Jia

Journal Article

Implementation of an adaptive feed speed 3D NURBS interpolation algorithm

LIANG Hong-bin, WANG Yong-zhang, LI Xia

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

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

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

Predicting lateral displacement caused by seismic liquefaction and performing parametric sensitivity

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

Journal Article

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

Xin LI,Jin SUN,Fu XIAO

Journal Article

Bevacizumab in combination with pemetrexed and platinum for elderly patients with advanced non-squamousnon-small-cell lung cancer: a retrospective analysis

Journal Article

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

Xingmei YE

Journal Article