Ning He

High slopes associated with large hydraulic infrastructures are prone to progressive deformation and instability, posing significant risks to engineering safety. This study presents a field application of distributed optical fiber sensing (DOFS) at a high rock slope of a hydropower project located in Northwest China, where ongoing deformation of a joint intake slope has been observed since 2022. A multi-orientation monitoring system comprising six boreholes (vertical, inclined, and horizontal) instrumented with distributed strain-sensing fibers was deployed to capture internal deformation. The monitoring results reveal time-dependent and depth-localised displacement patterns, with horizontal displacement magnitudes of approximately 1.5–2.0 mm within 2 months and multiple potential slip surfaces identified within a depth range of 20–50 m. The deformation localisation is consistently captured across different borehole orientations, demonstrating the capability of the DOFS system to detect small-scale deformation relative to its spatial resolution (0.255 m). These observations indicate the presence of complex multi-level deformation mechanisms within the slope. The inferred slip surface locations were further validated against independent engineering evidence, including borehole core observations, anchor drilling records, and adit crack mapping, showing strong agreement with zones of fractured and weakened rock mass. The results demonstrate that DOFS provides continuous, high-resolution, and reliable monitoring of internal slope deformation, enabling both slip surface identification and quantitative deformation assessment. This study highlights the significant potential of DOFS for early warning, hazard mitigation, and the design of reinforcement measures in large-scale slope engineering.

Landslide dams, as a special type of earth dams, are characterized by complex geomorphological features and geotechnical properties. The failure of landslide dams induced by seepage should not be overlooked. This study introduces a calculation method for analyzing the slope stability of landslide dams with three different material compositions under seepage conditions. Furthermore, the influence of spatial heterogeneity in particle size on the stability of landslide dam slopes subjected to unsaturated seepage is investigated using the random finite element method combined with Monte Carlo simulation. This paper provides a reference for the reliability evaluation of landslide dams with different material types.

Promoting the deep fusion of the digital economy and the real economy is the general trend of the new round of scientific and technological revolution and industrial transformation, and it is also an important starting point for promoting the high quality development of China’s economy. Changzhou’s digital economy has good basic conditions and needs to make full use of its own advantages, but it also faces many shortcomings that need to be improved urgently, and it is urgent to create a unique digital economy development model. This paper studies the interaction mechanism between digital economy and real economy, analyzes the problem of deep fusion of digital economy and real economy to promote the high-quality development of Changzhou, and puts forward the following paths of deep fusion of digital economy and real economy to promote the high-quality development of Changzhou. First, to strengthen the guidance of innovation and regard innovation as the first driving force for integrated development. Second, to excavate human resources and regard talents as the first resource for integrated development. Third, to release the potential of data and take data as a powerful starting point for integrated development. Forth, to strengthen the platform construction and regard the platform as the core link of integrated development.

The nonlinear variation of soil compressibility and permeability with void ratio (i.e., e-log σ′ and e-log k) has been included in the consolidation theory to accurately predict the behavior of soft soil stabilized by vertical drains. However, most current nonlinear consolidation models incorporating the coupled radial-vertical flow are based on some simplified assumptions, while including some features such as the complex implementation of multilayered computations, time-dependent loading and stress distribution with depth. This study hence introduces a novel approach where the spectral method is used to analyze the nonlinear consolidation behavior of multilayered soil associated with coupled vertical-radial drainage. In addition, time- and depth-dependent stress and soil properties at each soil layer are incorporated into the proposed model. Subsequently, the solution is verified against experimental and field data with comparison to previous analytical solutions. The results show greater accuracy of the proposed method in predicting in-situ soil behavior. A parametric study based on the proposed solution indicates that the ratio between the compression and permeability indices (ω = C_c/C_k) has a great impact on the consolidation rate, i.e., the greater the ω, the smaller the consolidation rate. Increasing the load increment ratio and the absolute difference between unity and ω (i.e., |ω − 1|) can exacerbate prediction error if the conventional simplified methods are used.