A Prediction Method of Foundation Settlement Considering Anomaly and Newness-oldness Degree Influence Boundedness of Measured Data
Based on the research of prediction methods for foundation or subgrade settlement by existing combination model，firstly，an analytical model of freshness function is proposed to measure the newness-oldness degree of measured settlement data，considering the features of newness-oldness degree and its influence boundedness of measured settlement data. The proposed method can also reflect the effect of time distance between the measured and predicted point，measured error and boundedness of newness-oldness as well as its influence degree of the measured data on the settlement prediction. Secondly，based on statistical theory，a disposal method of measured data sample is developed which can exclude the unreasonable settlement prediction caused by some abnormal measured data. Then，using the above-mentioned model and method，a new method for combined prediction of foundation or subgrade settlement is put forward，which can reflect the influence of abnormality of measured settlement data，their oldness and newness degree and boundedness of its influence degree on settlement prediction of foundation or subgrade. Finally，it shows the rationality and superiority of the proposed model and method by calculation of actual engineering examples and comparison and analysis among the prediction results by the proposed and the existing similar methods as well as the measured results.
Keywords: foundation or subgrade, settlement prediction, combination model, freshness function, measured data anomaly, newness-oldness degree influence boundedness of measure data
TAN S A. Hyperbolic method for settlements in clays with vertical drains [J]. Canadian Geotechnical Journal，1994，31 (31)：125— 131.
LI T，ZHANG Y P，ZHANG T Q. Superior combination forecasting settlement of soft clay embankments [J]. Chinese Journal of Rock Mechanics and Engineering，2005，24 (18)：3282—3286. (In Chinese)
ASAOKA A. Observational procedure of settlement prediction[J]. Soils and Foundations，1978，18 (4)：30—34.
XU H Z，SHI B，LI X H. Logistic growth model and its applicability for predicting settlement during the whole process[J]. Rock and Soil Mechanics，2005，26 (3)：387—391. (In Chinese)
MURALEEDHARAN G，NAIR N U，KURUP P G. Application of Weibull model for redefined significant wave height distributions [J]. Proceedings of the Indian Academy of Sciences -Earth and Planetary Sciences，1999，108 (3)：149—153.
LIAO W H，WANG J B. Study on application of MMF model to pre－ diction of foundation settlemen[t J]. Chinese Journal of Underground Space and Engineering，2011，7 (4)：807—811. (In Chinese)
LU Z Y，REN Y M，GE L K. Photovoltaic power regression model based on spline estimation and quantile regression [J]. Journal of Hunan University (Natural Sciences)，2017，44 (10)：96—103. (In Chinese)
LENG W M，YANG Q，NIE R S，et al. Study of post -construction settlement combination forecast method of high -speed railway bridge pile foundation [J]. Rock and Soil Mechanics，2011，32 (11)：3341—3348. (In Chinese)
FENG Z，WANG N，WANG L J. Research of settlement combination forecasting model and its application[J]. Journal of Beijing Jiaotong University，2008，32 (1)：29—31. (In Chinese)
BATES J M，GRANGER C W J. The combination of forecasts[J]. Operational Research Quarterly，1969，20 (4)：451—468.
LI M，XIE Z W，FU Y. Optimization settlement combined forecasting model and its application[J]. West-China Exploration Engineering 2008，20 (8)：216—219. (In Chinese)
ZHAO M H，LONG Z，ZOU X J. Optimal combinational predictive model of settlement based on Logistic curve and Gompertz curve and its application[J]. Journal of Highway and Transportation Research and Development，2007，24 (12)：1—4. (In Chinese)
OU Y L. Research and application of GM (1，1)and Logistic combi－ nation forecasting model for subgrade settlement [J]. Journal of Railway Science and Engineering，2010，7 (4)：56—60. (In Chinese)
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