A proposed methodology for analysis of ground settlements caused by tunneling, with particular reference to the “buoyancy” effect

Hisatake, Masayasu

doi:10.1016/j.tust.2010.07.004

Cited by 14 publications

(3 citation statements)

References 14 publications

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“…The analytical solutions for ground settlement caused by tunnel construction in initially isotropic and homogeneous soils [28] The analytical solution of the uniform elastic half-space tunnel is performed using the approximation method suggested by Sasageta [28]. [29] Numerical Methods FEM (PLAXIS 3D, ABAQUS) [30][31][32][33][34]] FDM (FLAC3D) [35][36][37][38]] DEM (3DEC) [39][40][41][42][43] Note: S = theoretical settlement (m); Smax = maximum settlement (m); i = point of inflexion (m); x = transverse horizontal distance from the tunnel center line (m); A = tunnel axis depth (m); D = equivalent tunnel excavation diameter (m); C = empirical coefficient; VL = volume loss; E = elasticity modulus; γ n = natural unit weight; σ s = surface surcharge (kPa); σ T = required working face support pressure (kPa); Ucs = undrained cohesion of soil.…”

Section: Imentioning

confidence: 99%

Hybrid Random Forest-Based Models for Earth Pressure Balance Tunneling-Induced Ground Settlement Prediction

Yang

Yong

et al. 2023

Applied Sciences

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Construction-induced ground settlement is a serious hazard in underground tunnel construction. Accurate ground settlement prediction has great significance in ensuring the surface building’s stability and human safety. To that end, 148 sets of data were collected from the Singapore Circle Line rail traffic project containing seven defining parameters to create a database for predicting ground settlement. These parameters are the tunnel depth (H), the tunnel advance rate (AR), the EPB earth pressure (EP), the mean SPTN value from the soil crown to the surface (Sm), the mean water content of the soil layer (MC), the mean modulus of elasticity of the soil layer (E), and the grout pressure used for injecting grout into the tail void (GP). Three hybrid models consisting of random forest (RF) and three types of meta-heuristics, Ant Lion Optimizier (ALO), Multi-Verse Optimizer (MVO), and Grasshopper Optimization Algorithm (GOA), were developed to predict ground settlement. Furthermore, the mean absolute error (MAE), the mean absolute percentage error (MAPE), the coefficient of determination (R2) and the root mean square error (RMSE) were used to assess predictive performance of the constructed models for predicting ground settlement. The evaluation results demonstrated that the GOA-RF with a population size of 10 has achieved the most outstanding predictive capability with the indices of MAE (Training set: 2.8224; Test set: 2.3507), MAPE (Training set: 40.5629; Test set: 38.5637), R2 (Training set: 0.9487; Test set: 0.9282), and RMSE (Training set: 4.93; Test set: 3.1576). Finally, the sensitivity analysis results indicated that MC, AR, Sm, and GP have a significant impact on ground settlement prediction based on the GOA-RF model.

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Section: Imentioning

confidence: 99%

Hybrid Random Forest-Based Models for Earth Pressure Balance Tunneling-Induced Ground Settlement Prediction

Yang

Yong

et al. 2023

Applied Sciences

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“…However, because the number of parameters and elements for finite element analysis of tunnel space is huge, only a more actual simulation for the coupling treatment of soil and tunnel structure interface can ensure the calculation results be reliable. Otherwise, the deviation of settlement estimated by the finite element method will be large [15].…”

Section: Introductionmentioning

confidence: 99%

Analysis of instantaneous surface settlement of tunnel construction in composite stratum based on semi-analytical method

Tian¹,

Wu²,

Yu³

2023

AETR

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It is important for shield tunneling safety to predict and control the instantaneous surface settlement. Particularly, the complex geological condition can make accurate prediction more difficult. To adapt to the stratum distribution, a semi-analytical method is established by introducing the finite layer method into tunnel mechanical analysis. Firstly, based on the elastic solution of the finite layer method, the horizontal flexibility coefficient of tunneling and the surface settlement are obtained by applying effective thrust to the excavation face. Secondly, two influencing factors are analyzed, including the penetration of shield tunneling and the Poisson ratio of geotechnical parameter. The relationship formula between the measured value and the theoretical value of the maximum settlement is derived through data fitting. Finally, the settlement prediction method of tunneling is proved to be practical, which provide a new ideal for the mechanical analysis of tunnels in composite strata.

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“…Many engineers and researchers have spent a lot of time on this task in order to finish it successfully (Boscardin and Cording 1989, ZC, Liao et al 1994, Urbain 1997, Law 2001, Franzius 2003, Centis and Giacomin 2004, Bhalla, Yang et al 2005, Kontogianni and Stiros 2005, van der Poel, Gastine et al 2006, Berkelaar, Huisman et al 2007, de Rienzo, Oreste et al 2008, Standing and Burland 2008, Chen, Zhu et al 2011, Hisatake 2011, Mananjara 2011, Ghorbani, Sharifzadeh et al 2012, Salimi, Esmaeili et al 2013, Zhang, Chen et al 2013, Zhang, Wu et al 2014.…”

Section: Current Practice In Building Monitoring During Underground Workmentioning

confidence: 99%

Influence of ambient temperature on building monitoring in urban areas during the construction of tunnels for transportation

Lian¹

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A large number of underground works are under construction in several big cities around the world (London, Paris, Amsterdam, Beijing, Shanghai, Chicago, Caracas, Mexico D.F., and Riad, for instance): railway tunnels, water supplies and other kinds of underground structures. In the last decade several underground infrastructures have been designed and constructed in the city of Barcelona, Spain, as well; e.g. the new line 9 of the city underground and the city junction for the High Velocity train that links Madrid and Barcelona with France. During the construction, intensive monitoring is becoming an increasingly common practice in order to guarantee the safety of the people, buildings and other infrastructures on the surface. Among others, the Robotic Total Stations (RTS) play an important role in the task. In these monitoring works, some "Thermal Effects" have occasionally appeared in the graphs, between winter/summer and day/night situation. Sometimes this undesirable noise has produced discussion among the infrastructure actors. As this effect has not been adequately studied so far, the present PhD aims to improve the basic knowledge and the current practice in the building monitoring in urban areas during underground works when the scene is affected by temperature changes. To characterize and, eventually, to correct the aforementioned influence of the "ambient' variables", a computer simulation program has been implemented. The code can simulate the movement of the buildings when the temperature changes, and proves that the thermal influence on structure deformation monitoring cannot be ignored in the practice. The PhD work has taken advantage of an experimental monitoring area built at the UPC Campus Nord (Barcelona, Spain) within an I+D project, with Robotic Total Stations and other sensors (temperature, tilt, levelling, insolation and other meteorological data), acquiring data during two years and a half. The fieldwork and data processing have been used to improve and adjust the numerical simulation model. Several approaches have been tested with the program. Strategies D, B and K permit us, respectively, to simulate the standard monitoring practice, to "fully" filter the thermal effect, and to filter it while preserving the building's own movements. Apart from helping in the mitigation of the quoted influence, these results may eventually facilitate the improvement of the present monitoring practices. Un gran número de trabajos subterráneos están en marcha en diversas ciudades del mundo (Londres, Paris, Ámsterdam, Beijing, Shanghai, Chicago, Caracas, México D.F., Riad, entre otras): túneles para FFCC y Metro, suministros, otras obras. En la última década varias infraestructuras subterráneas han afectado al Área Metropolitana de Barcelona: la línea 9 de metro y el paso del AVE Madrid-Barcelona-Francia entre otras. Durante la construcción de estas obras, la monitorización intensiva se está convirtiendo en práctica habitual para garantizar la seguridad de la gente, de los edificios y de otras construcciones en superficie. Entre otras técnicas, las Estaciones Totales Robotizadas juegan un papel importante en este cometido. De manera ocasional, en estos trabajos de auscultación han aparecido en las gráficas diarias o anuales unas oscilaciones espurias atribuibles a “Efecto Térmico”. En algunos momentos ese ruido no deseado ha producido ciertos problemas entre los actores presentes en la Obra Pública. Como este efecto no ha sido adecuadamente estudiado hasta ahora, esta Tesis pretende abundar en el conocimiento de su naturaleza, y mejorar la práctica habitual de la monitorización de edificios en zonas urbanas afectadas por obras subterráneas cuando los cambios de temperatura puedan influir. Un programa de simulación ha sido desarrollado para caracterizar y corregir la citada influencia de dichas “variables ambientales”. El código puede simular el movimiento de los edificios cuando cambia su temperatura, y ha servido para comprobar que los cambios térmicos pueden influir a un nivel que no puede ser ignorado en la práctica de la auscultación de precisión. La Tesis ha aprovechado una zona experimental a escala real que se estableció en el Campus Nord de la UPC dentro de un proyecto I+D, en la que Estaciones Totales Robotizadas y otros sensores (termómetros, clinómetros, niveles, piranómetros y estaciones meteorológicas) han estado suministrando mediciones durante unos dos años y medio. Los datos de campo y su procesamiento han servido para mejorar el código numérico y para ajustar sus variables. Con el programa se han establecido varios escenarios. Las estrategias D, B y K permiten simular la práctica habitual de la monitorización, y filtrar totalmente (al menos en teoría) o parcialmente el “Efecto Térmico”. Los resultados obtenidos, aparte de ayudar a mitigar la presencia no deseada de la firma térmica en los resultados de la auscultación, tras ulteriores investigaciones podrán mejorar las prácticas actuales en la monitorización de edificios.

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A proposed methodology for analysis of ground settlements caused by tunneling, with particular reference to the “buoyancy” effect

Cited by 14 publications

References 14 publications

Hybrid Random Forest-Based Models for Earth Pressure Balance Tunneling-Induced Ground Settlement Prediction

Hybrid Random Forest-Based Models for Earth Pressure Balance Tunneling-Induced Ground Settlement Prediction

Analysis of instantaneous surface settlement of tunnel construction in composite stratum based on semi-analytical method

Influence of ambient temperature on building monitoring in urban areas during the construction of tunnels for transportation

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