Bayesian updating of KJHH model for prediction of maximum ground settlement in braced excavations using centrifuge data

Wang, Lei; Ravichandran, Nadarajah; Juang, C. Hsein

doi:10.1016/j.compgeo.2012.03.003

Cited by 48 publications

(16 citation statements)

References 21 publications

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“…It should be noted that the main objective in this design case is to minimize the building damage by carefully adjusting the design parameters. It is noted that in this case the clay layer is the main layer that controls the excavation behavior (Juang et al 2011;Wang et al 2012). During site investigation, only 17 pairs of small-strain triaxial test data for s u /σ' v and E i /σ' v are obtained, in which, s u /σ' v ranges from 0.230 to 0.357 and E i /σ' v ranges from 324.8 to 735.0 (Luo et al 2013).…”

Section: Example Of Rgd Of Braced Excavationmentioning

confidence: 99%

Robust Design of Braced Excavations Using Multiobjective Optimization-Focusing on Prevention of Damage to Adjacent Buildings

Wang

Luo

Khoshnevisan

et al. 2014

Geo-Congress 2014 Technical Papers

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This paper presents a new geotechnical design methodology, referred to herein as robust geotechnical design (RGD), and its application in the braced excavation design in clays. The RGD approach is aimed at optimally selecting the design parameters so that the system response (e.g., the damage probability of the adjacent building caused by excavation) is insensitive to, or robust against, uncertainty in statistics of noise factors. In this paper, the uncertainty in the estimated statistics of noise factors is evaluated using the bootstrapping method and the variation in the probability of damage is evaluated using the point estimated method integrated with first order reliability method. The RGD is realized through a multi-objective optimization, in which all the requirements such as safety, robustness, and cost are explicitly considered. A design example of braced excavation is used to demonstrate the effectiveness and significance of the RGD approach.

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Section: Example Of Rgd Of Braced Excavationmentioning

confidence: 99%

Robust Design of Braced Excavations Using Multiobjective Optimization-Focusing on Prevention of Damage to Adjacent Buildings

Wang

Luo

Khoshnevisan

et al. 2014

Geo-Congress 2014 Technical Papers

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“…Kelly and Huang 2015), centrifuge modelling (e.g. Zhang et al 2009a, 2009b, Wang et al 2012) and field monitoring (e.g. Hsiao et al 2008, Qi and Zhou 2017, Zheng et al 2018.…”

Section: Overviewmentioning

confidence: 99%

Prediction of Pipe-Jacking Forces Using a Bayesian Updating Approach

Sheil

Suryasentana

Templeman

et al. 2022

J. Geotech. Geoenviron. Eng.

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An accurate estimation of the jacking forces likely to be experienced during microtunnelling is a key design concern for the design of pipe segments, the location of intermediate jacking stations and the efficacy of the pipe jacking project itself. This paper presents a Bayesian updating approach for the prediction of jacking forces during microtunnelling. The proposed framework is applied to two pipe jacking case histories completed in the UK including a 275 m drive in silt and silty sand and a 1237 m drive in mudstone. To benchmark the Bayesian predictions, a 'classical' optimisation technique, namely genetic algorithms, is also implemented. The results show that predictions of pipe jacking forces using the prior best estimate of model input parameters provide a significant over-prediction of the monitored jacking forces for both drives. This highlights the difficulty in capturing the complex geotechnical conditions during tunnelling within prescriptive design approaches and the importance of robust back-analysis techniques. Bayesian updating is also shown to be a very effective option where significant improvements in the mean predictions, and associated variance, of the total jacking force are obtained as more data is acquired from the drive.

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“…This uncertainty quantification is meaningful as variations in the input parameters and the computed responses are fully characterized 16 . Additionally, a reliability assessment or a reliability‐based design optimization can be further performed as the PDFs of deflection can be obtained 13,17 …”

Section: Introductionmentioning

confidence: 99%

A beam on elastic foundation method for predicting deflection of braced excavations considering uncertainties

Tang

Zhou

2022

Num Anal Meth Geomechanics

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Predicting wall deflection is important to provide a critical reference to evaluate the current construction conditions and prevent potential damage risks of adjacent facilities during excavations. This paper presents a combination of a beam on elastic foundation model (BEFM) and the Bayesian framework to realize effective probabilistic predictions of wall deflection at various depths in braced excavations. First, a finite element solving algorithm to calculate wall deflection for the BEFM is developed and incorporated into the Bayesian framework.Next, the most suitable distribution pattern for soil resistance and an appropriate set of uncertain parameters in the BEFM are determined through the application of the Bayesian model selection technique. Meanwhile, the uncertain parameters are updated. A prediction is then made using the optimal model and corresponding posterior probability distributions of the updated parameters at each stage. The parameter updating and prediction process are repeated as additional field observations become available during construction. The performance of the proposed method is examined using a field case study. The results show that this method provides a satisfactory approach to predict both the magnitudes and profile of deflection when considering uncertainties. Additionally, comparisons with a Bayesian updating framework using a surrogate model (i.e., the KJHH model) indicate higher updating efficiency of the developed method.

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Bayesian updating of KJHH model for prediction of maximum ground settlement in braced excavations using centrifuge data

Cited by 48 publications

References 21 publications

Robust Design of Braced Excavations Using Multiobjective Optimization-Focusing on Prevention of Damage to Adjacent Buildings

Robust Design of Braced Excavations Using Multiobjective Optimization-Focusing on Prevention of Damage to Adjacent Buildings

Prediction of Pipe-Jacking Forces Using a Bayesian Updating Approach

A beam on elastic foundation method for predicting deflection of braced excavations considering uncertainties

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