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Foundation pit excavation model and structural unit location. a Foundation pit excavation model and b structural unit location
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This study analyzed the value of the coefficient of the subgrade reaction in different soil layers to improve the convenience and accuracy of determining the coefficient of the subgrade reaction of typical rock and soil in the Shijiazhuang area. For this analysis, we relied on the actual project of the deep foundation pit drainage section of the Do...
Citations
... Huang et al. 2 conducted unsaturated triaxial tests on loess-like silty clay in the Sanmenxia region, examining the changes in matric suction of the loess-like silty clay. Miao et al. 18 conducted an inversion analysis on the subgrade reaction coefficients of loess-like silty clay in the Shijiazhuang area, resulting in the derivation of theoretical calculation reference formulas. Al-Harthi 19 identified a correlation between land subsidence and ground fissures in the Wadi Al-Lith region of western Saudi Arabia and the rapid decline in groundwater levels subsequent to flooding, as OPEN ...
This study, using Jinan as a case study, systematically investigates the characteristics and geological genesis of loess-like silty clay in the middle and lower reaches of the Yellow River. The primary distribution of loess-like silty clay is revealed through field surveys, laboratory experiments, and previous literature reviews. The chemical and physical properties of the loess-like silty clay were examined, in addition to investigations into its mineral composition, microstructural characteristics, and engineering mechanical properties, in order to enhance comprehension of its attributes and formation mechanisms. The research suggests that the distinctive soil environment in the area has been influenced by numerous instances of the Yellow River overflow and channel shifts over its history, as well as the impacts of climate change, geological factors, and human activities. The primary sources of material for the loess-like silty clay consist of loess, Hipparion Red Clay, and paleosol layers. The discussion also addresses the impact of regional climate on the formation of mineral components. The aforementioned findings hold significant implications for advancing the understanding of historical climatic and paleogeographic shifts, as well as for addressing engineering challenges associated with the distribution of loess-like silty clay.
... The settlement of shallow foundations on gypsum soils was predicted using artificial neural networks, and convergence of predicted values with true values was found [17]. Learning and training samples of the back-propagation neural network were established by numerical software, and then, inverse analyses of the roadbed response coefficient K were carried out using the neural network [18]. A regression model was used to predict tunnel-induced ground settlement [19]. ...
The construction of deep foundation pits in subway stations can affect the settlement of existing buildings adjacent to the pits to varying degrees. In this paper, the Long Short-Term Memory neural network prediction model of building settlement caused by deep foundation pit construction was established using the monitoring data of building settlement around a deep foundation pit project in a metro station in Shanghai, and appropriate hyperparameters including batch size and training set ratio were determined. The accuracy of settlement prediction for single-point and multi-point monitoring of buildings was analyzed. Meanwhile, the effects of construction parameters, engineering geological parameters, and spatial parameters on the accuracy of building settlement prediction were investigated. The results show that the batch size and training set proportion can be taken as 16 and 60%, respectively, when using the Long Short-Term Memory neural network prediction model. The proposed Long Short-Term Memory network model can stably predict the settlement of buildings adjacent to deep foundation pits. The accuracy of settlement prediction at a single point of a building (80%) is lower than the accuracy of coordinated prediction at multiple points (88%). More accurate settlement prediction is achieved with the total reverse construction method. The more detailed the consideration of working conditions, geological parameters, and spatial parameters, the better. The evaluation metrics of the prediction model, RMSE, MAE, and R2, were 0.57 mm, 0.65 mm, and 0.91, respectively. The results of this paper have some practical reference value for analyzing the settlement of buildings caused by foundation pit works.
... Huang et al. 16 conducted unsaturated triaxial tests on loess-like silty clay in the Sanmenxia region, examining the changes in matric suction of the loess-like silty clay. Miao et al. 17 conducted an inversion analysis on the subgrade reaction coe cients of loess-like silty clay in the Shijiazhuang area, resulting in the derivation of theoretical calculation reference formulas. Al-Harthi 18 identi ed a correlation between land subsidence and ground ssures in the Wadi Al-Lith region of western Saudi Arabia and the rapid decline in groundwater levels subsequent to ooding, as well as the hydro-consolidation of loess-like silty clay. ...
This study systematically investigates the characteristics and geological genesis of loess-like silty clay in the middle and lower reaches of the Yellow River. The primary distribution of loess-like silty clay is revealed through field surveys, laboratory experiments, and previous literature reviews. The impact of the Yellow River's historical evolution on its sedimentary distribution is also examined. The chemical and physical properties of the loess-like silty clay were examined, in addition to investigations into its mineral composition, microstructural characteristics, and engineering mechanical properties, in order to enhance comprehension of its attributes and formation mechanisms. The research suggests that the distinctive soil environment in the area has been influenced by numerous instances of the Yellow River overflow and channel shifts over its history, as well as the impacts of climate change, geological factors, and human activities. The primary sources of material for the loess-like silty clay consist of loess, Hipparion Red Clay, and paleosol layers. The discussion also addresses the impact of regional climate on the formation of mineral components. The aforementioned findings hold significant implications for advancing the understanding of historical climatic and paleogeographic shifts, as well as for addressing engineering challenges associated with the distribution of loess-like silty clay.
To solve the problem that the traditional empirical method is not universal, the regional multivariable settlement prediction model is constructed and applied to the settlement prediction of high-rise residential buildings in Liaocheng. The regional multivariable settlement prediction model is constructed as follows: Based on the measured data of the settlement of high-rise residential buildings in the region, the regional foundation settlement law is fitted with the BNGM (1,1) model. Then, the final settlement value of the building is fitted by multiple nonlinear regression model. Finally, the regional multivariable settlement prediction model is obtained by combining the regional foundation settlement law and the final settlement of buildings. The case study results show that, compared with the Logistic models, the regional multivariable settlement prediction model has higher accuracy and reliability; the comparative analysis of the measured settlement of high-rise residential buildings shows that the actual foundation settlement of high-rise residential buildings under similar conditions in the region can be accurately demonstrated by the regional foundation settlement law. The regional multivariable settlement prediction model has high accuracy and good universality.
The impact damage behavior of polymer bonded explosives (PBXs) is critical to ensure the safety of explosive systems. PBX 1314 (60 wt% RDX, 16 wt% aluminum, and 24 wt% HTPB) is a popular propellant owing to its characteristics of high energy density and low sensitivity. In this study, the compressive damage evolution rules and the strain rate effect of PBX 1314 were investigated by using a multiscale method. To acquire damage evolution data during loading, a finite element model based on real crystal morphology, with a cohesive zone model (CZM) for describing the damage, was developed. A novel hybrid/inverse optimization strategy was developed to calibrate the cohesive parameters of PBX 1314, and the accuracy of the parameters was verified basis experimental results. Using an as-developed bilinear model, the shift of damage pattern with the variation of strain rate was observed, and the nonlinearity of the stress–strain curve was presented at the mesoscale. The crack parameters and distribution of damaged elements in each mesoscopic component were acquired to quantitively characterize the strain rate dependence of PBX 1314, and the mechanism of crack propagation and the shift of damage mode under various strain rates was illustrated. The findings of this study provide insights for understanding the nonlinearity of macroscopic mechanical behavior and the influence of strain rate on the mesoscopic damage mode of PBXs with high binder content.
