Internal Force and Deformation Analysis of Steel Structure Construction Process of Hefei XINQIAO International Airport Terminal

Wan, Hai Ying; Ma, Lin

doi:10.4028/www.scientific.net/amm.71-78.24

Cited by 2 publications

(3 citation statements)

References 1 publication

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“…Nonlinear static analysis is employed in SAP2000 to simulate the progressive construction process. [25][26][27][28] The "Nonlinear static analysis" method can handle the nonlinear response of complex structures, consider nonlinear effects, and simulate progressive loading and construction uncertainty, thereby providing more accurate and comprehensive structural analysis and design. The structural behavior during progressive construction can be better understood and optimized, ensuring the safety and reliability of the structure throughout both the construction phase and final use.…”

Section: Construction Simulation Methodsmentioning

confidence: 99%

“…Nonlinear static analysis is employed in SAP2000 to simulate the progressive construction process 25–28 . The “Nonlinear static analysis” method can handle the nonlinear response of complex structures, consider nonlinear effects, and simulate progressive loading and construction uncertainty, thereby providing more accurate and comprehensive structural analysis and design.…”

Section: Numerical Examplementioning

confidence: 99%

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Bayesian model updating of super high‐rise building for construction simulation

Du,

Qin,

Guan

et al. 2024

Structural Design Tall Build

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SummaryA finite element model was established using SAP2000 software for the C1 tower, a super high‐rise building in the second phase of the Nanjing Financial City project, and the construction process of the tower was simulated. The C1 tower adopts a frame core tube extension arm and ring truss structure system, with 87 floors above ground and five floors underground. The roof structure has an elevation of 416.6 m. Precise measurements of inter‐story compression deformation were conducted using advanced surveying equipment. Sensitivity analysis, based on the finite difference method, identified the shear wall elastic modulus, frame column elastic modulus, steel beam elastic modulus, and shear wall unit weight as four highly influential parameters. Employing the Bayesian principle, the Markov Chain Monte Carlo (MCMC) method was applied to determine the posterior density probability function of the parameters targeted for modification. Subsequently, the Metropolis–Hastings (MH) sampling algorithm was employed to refine the C1 Tower model. This refinement significantly reduced the root mean square error between the measured and simulated vertical displacements, achieving an error reduction of approximately 10% from 6.082 to around 2.160. The modified material parameters, for the most part, adhered to a normal distribution assumption and exhibited mean values in the posterior probability density functions for the elastic modulus of Q345 steel beams, C70 frame columns, and C60 shear walls. Compared to the initial finite element parameters, the variation range was approximately 13% to 17%. These results serve as a validation of the effectiveness of the proposed method.

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Section: Construction Simulation Methodsmentioning

confidence: 99%

Section: Numerical Examplementioning

confidence: 99%

Bayesian model updating of super high‐rise building for construction simulation

Du,

Qin,

Guan

et al. 2024

Structural Design Tall Build

View full text Add to dashboard Cite

show abstract

“…Based on the existing monitoring mode, we take comprehensive consideration to pre-buried and table-posted sensor. Thus, whole life health monitoring of large bridges in construction and operation [1]~ [3] is feasible.…”

Section: Introductionmentioning

confidence: 99%

A Discussion on the Whole-Life Monitoring Mode of Large Bridge from Construction to Operation

Zhou

Chen

Huang

2012

AMM

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Considering that the health monitoring system and construction monitoring system are not combined flexibly, the whole life monitoring model is conceived. That method is based on data dependence analysis of pre-buried and table-posted sensor, at the same time, correction of monitoring data is also taken into consideration. All the works focus on the research about collaborative work mode of monitoring data from pre-buried and table-posted sensor. This achievement brings so many benefits, firstly, it makes dead loads and living loads are considered together. Secondly, it brings new ideas to guarantee the safety of large bridges in construction or operation. Thirdly, the research results are embodied fully in the engineering practice of Nujiang Bridge.

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Internal Force and Deformation Analysis of Steel Structure Construction Process of Hefei XINQIAO International Airport Terminal

Cited by 2 publications

References 1 publication

Bayesian model updating of super high‐rise building for construction simulation

Bayesian model updating of super high‐rise building for construction simulation

A Discussion on the Whole-Life Monitoring Mode of Large Bridge from Construction to Operation

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