156,714 research outputs found
Evaluation of surficial stability for homogeneous slopes considering rainfall characteristics
No full textShallow slope failures in residual soil during periods of prolonged infiltration are commonly occurring in the world. This study examines an infinite slope analysis to estimate the influence of infiltration on surficial stability of slopes by the limit equilibrium method. An approximate method that accommodates the boundary condition of a uniform rainfall has been proposed to evaluate the likelihood of shallow slope failure that is induced by a particular rainfall event. The method based on the Mein and Larson model, which provides an explicit solution for preponding infiltration, has been applied to various types of soil having measured unsaturated hydraulic properties. To compare results with those obtained from the approximate method, a series of numerical analyses were carried out. According to the results, with the use of properly estimated input parameters, the approximate method was found to give results that compare reasonably well with those of more rigorous finite element analyses
Instability of unsaturated soil slopes due to infiltration
No full textThis paper presents a procedure for calculating the safely factor for an unsaturated slope suffering from rainfall infiltration. The process of infiltration into a slope due to rainfall and its effect on soil slope behavior were examined using a two-dimensional finite element flow deformation coupled analysis program. The modified Mohr-Coulomb failure criterion was adopted for unsaturated soil strength to consider variations in strength due to the presence of matric suction. A safety factor was calculated based on the smoothed stress field obtained from finite element analysis, and an optimization technique was used to search for a critical slip surface. Some numerical examples are analyzed. The results illustrate a typical process of infiltration into unsaturated soil slopes and the effect of hydraulic conductivity on slope stability during rain-induced infiltration. (C) 2001 Elsevier Science Ltd. All rights reserved
A high-stability emulated absolute current hysteretic control single-inductor 5-output switching DC-DC converter with energy sharing and balancing
No full textControlled Regioregularity of Chlorine Substituted Benzo[c]-[2,1,3]thiadiazole-based Semiconducting Copolymers with Nanogroove Alignment
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Nanogroove Alignment of Chlorine Substituted Benzo[c]-[2,1,3]thiadiazolebased Semiconducting Copolymers with Controlled Regioregularity
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Effects of Plasticizing Additive on Mechanical Properties of Diketopyrrolopyrrole-Based Semiconducting Polymers
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Neuromimetic metaplasticity for adaptive continual learning without catastrophic forgetting
No full textConventional intelligent systems based on deep neural network (DNN) models encounter challenges in achieving human-like continual learning due to catastrophic forgetting. Here, we propose a metaplasticity model inspired by human working memory, enabling DNNs to perform catastrophic forgetting-resistant continual learning without any pre-or post-processing. A key aspect of our approach involves implementing distinct types of synapses from stable to flexible, and randomly intermixing them to train synaptic connections with different degrees of flexibility. This strategy allowed the network to successfully learn a continuous stream of information, even under unexpected changes in input length. The model achieved a balanced tradeoff between memory capacity and performance without requiring additional training or structural modifications, dynamically allocating memory resources to retain both old and new information. Furthermore, the model demonstrated robustness against data poisoning attacks by selectively filtering out erroneous memories, leveraging the Hebb repetition effect to reinforce the retention of significant data.
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