Buckling of steel tanks under measured settlement based on Poisson curve prediction model

Fan, Haigui; Chen, Zhiping; Shen, Jianmin; Cheng, Jian‐Wen; Chen, Dingyue; Jiao, Peng

doi:10.1016/j.tws.2016.05.009

Cited by 8 publications

(4 citation statements)

References 22 publications

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“…The settlement forecast model can be established based on the measured settlement data, and the relationship between settlement and time for each measuring point will be obtained to forecast settlement variation [50]. Among all the settlement forecasting models, the empirical formula method (EFM) has the advantages of simple utilization and wide application range in engineering practices.…”

Section: Empirical Formula Methods (Efm)mentioning

confidence: 99%

Settlement Forecast of Marine Soft Soil Ground Improved with Prefabricated Vertical Drain-Assisted Staged Riprap Filling

Wu,

Liu,

Alowaisy

et al. 2024

Buildings

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By comparing different settlement forecast methods, eight methods were selected considering the creep of marine soft soils in this case study, including the Hyperbolic Method (HM), Exponential Curve Method (ECM), Pearl Growth Curve Modeling (PGCM), Gompertz Growth Curve Modeling (GGCM), Grey (1, 1) Model (GM), Grey Verhulst Model (GVM), Back Propagation of Artificial Neural Network (BPANN) with Levenberg–Marquardt Algorithm (BPLM), and BPANN with Gradient Descent of Momentum and Adaptive Learning Rate (BPGD). Taking Lingni Seawall soil ground improved with prefabricated vertical drain-assisted staged riprap filling as an example, forecasts of the short-term, medium-term, long-term, and final settlements at different locations of the soft ground were performed with the eight selected methods. The forecasting values were compared with each other and with the monitored data. When relative errors were between 0 and −1%, both the forecasting accuracy and engineering safety were appropriate and reliable. It was concluded that the appropriate forecast methods were different not only due to the time periods during the settlement process, but also the locations of soft ground. Among these methods, only BPGD was appropriate for all the time periods and locations, such as at the edge of the berm, and at the center of the berm and embankment.

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Section: Empirical Formula Methods (Efm)mentioning

confidence: 99%

Settlement Forecast of Marine Soft Soil Ground Improved with Prefabricated Vertical Drain-Assisted Staged Riprap Filling

Wu,

Liu,

Alowaisy

et al. 2024

Buildings

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“…Effects of support settlements have been considered in metal cylindrical shells [3]. Buckling of storage tanks due to support settlements was studied by Godoy and Sosa [4], Zhao et al [5], Gong et al [6], Cao and Zhao [7] and Fan et al [8]. Darmawan [9] reported severe damage induced by column settlement on a metal frame structure.…”

Section: Introductionmentioning

confidence: 99%

Displacements of Side Walls With Wall-Girts in Industrial Buildings Under Vertical Settlements

Subelza

Pedrozo

Jaca

et al. 2021

CEJ

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The localized settlement of columns in large metal industrial buildings induces out-of-plane displacements of side walls of the same order as the settlement, which may affect service conditions in the building. For a structural configuration formed by frames, side-walls and wall-girts, this work reports results from testing a small-scale model together with computational modelling of the full-scale structure. Dimensional analysis was used to scale the geometry and properties from full-scale to small-scale, leading to an overall scale factor of 1:15. Differential settlements having a controlled amplitude were imposed at the central column, and displacements were monitored using mechanical devices. The computational model employed shell elements for side-walls and wall- girts. Good agreement was found between tests and computer modelling. The results at the full- scale level, indicate that, for settlements likely to occur in granular soils, the associated lateral displacements exceed those allowed by current US regulations. Stiffening the structure was investigated by use of stiffer girts, as well as by reducing their spacing. The influence of frame height was also investigated. The overall conclusion is that out-of-plane displacements of side- walls may easily exceed allowable values unless they are specifically considered at a design stage.

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“…In order to avoid the disadvantages associated with the first two methods, the idea of a curve fitting method [21][22][23] was proposed, which involves predicting the permanent subgrade settlement based on measured settlement data in the early stages. Curve fitting methods-i.e., the Poisson model [24,25], the hyperbolic model [26,27], the three-point model [28,29], the Asaoka model [30,31], the Hushino model [32,33], the Gompertz model [34], the grey prediction model [35][36][37], and the neural network model [38,39]-are simple and easy to calculate, and have more satisfactory predictions as they fully consider the measured settlement data. However, as these models have some application limitations, accurate settlement prediction results for varied scenarios often require model combinations.…”

Section: Introductionmentioning

confidence: 99%

A Three-Point Hyperbolic Combination Model for the Settlement Prediction of Subgrade Filled with Construction and Demolition Waste

Wang

Shen

et al. 2020

Materials

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Using construction and demolition waste (CDW) as road subgrade filling materials is an excellent way to solve the disparity between increased demand and road construction aggregate shortages. However, a key quality control problem is predicting the subgrade settlement, primarily because the CDW subgrade settlement prediction methods are not yet mature. To go some way in overcoming this problem, in this paper we developed a three-point hyperbolic combination model to predict CDW subgrade settlement, in which three appropriate points for the measured settlement curve were selected in the prediction samples to improve the hyperbolic model. Then, common prediction models—namely, the hyperbolic model, the three-point model, and the Hushino model—were compared with the proposed combination model to assess its viability. Finally, the three-point hyperbolic combination prediction accuracy was analyzed for different start points t0 and time intervals Δt. The analyses found that the proposed model was in good agreement with the measured data, had a high correlation coefficient, and had only small errors. However, the time interval Δ t needed to be greater than 80 days and the start point t0 needed to be selected at the beginning of the stable post-filling period, that is, t0 = 90–100 days. The application parameters were also determined to provide a reference for the large-scale application and settlement predictions of CDW subgrade.

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Buckling of steel tanks under measured settlement based on Poisson curve prediction model

Cited by 8 publications

References 22 publications

Settlement Forecast of Marine Soft Soil Ground Improved with Prefabricated Vertical Drain-Assisted Staged Riprap Filling

Settlement Forecast of Marine Soft Soil Ground Improved with Prefabricated Vertical Drain-Assisted Staged Riprap Filling

Displacements of Side Walls With Wall-Girts in Industrial Buildings Under Vertical Settlements

A Three-Point Hyperbolic Combination Model for the Settlement Prediction of Subgrade Filled with Construction and Demolition Waste

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