Results 31 to 40 of about 946 (225)
RELIABILITY ANALYSIS OF FULL-FACE TUNNEL BORING MACHINES WITH THE MONTE CARLO SIMULATION TECHNIQUE
Rudarsko-geološko-naftni Zbornik, 2022 The high boring capability of full-face tunnel boring machines, especially in urban tunnels, has led to their increased use in tunnel excavation in various and unfavourable geological conditions.
Reza Mikaeil +3 more
doaj
Investigation of the Effect of Different Parameters on the Penetration Rate of Earth Pressure Balance Boring Machine using Fuzzy and Neuro-Fuzzy Methods, and Metaheuristic Algorithms (A Case Study: Tabriz Metro Line 2) [PDF]
Analytical and Numerical Methods in Mining Engineering, 2020 One of the most widely used methods for the excavation of metro tunnels is mechanized excavation using an earth pressure balance (EPB) boring machine.
محمد داربر +2 more
doaj +1 more source
Advanced Materials, EarlyView.A multidimensional molecular strategy optimizes the tribonegative layer by electrospinning PVDF‐HFP for dipole alignment and crystallinity, followed by 2D borophene doping to enhance conductivity and charge trapping. Integrated with Nylon‐66 nanofibers, the composite device delivers a record sensitivity of 53.8 ± 1.2 V kPa−1 at 3 Hz, enabling ultra ...
Sajib Roy +7 more
wiley +1 more source
Navigating the Ethereal Tightrope: The Nanogenerator Manipulates Neurons for Immune Equilibrium
Advanced Science, EarlyView.This review explores how nanogenerators modulate neuroimmune responses, offering innovative strategies for treating neurological disorders. By interfacing with neural pathways, they enable precise control of immune activity, especially via vagus nerve stimulation.
Jia Du +5 more
wiley +1 more source
The Reliability of a Tunnel Boring Machine [PDF]
International Journal of Occupational Hygiene, 2009 Greater levels of complexity in tunnelling with Tunnel Boring Machine (TBM) allow higher chances of failures that may increase the potential hazardous risks. This paper presents the results of a study on TBM reliability using risk analysis.
Mohammad Javad Jafari +2 more
doaj +1 more source
Advanced Science, EarlyView.UniMR, a training‐free framework for automated molecular recognition in STM images. By integrating adaptive feature selection with CLIP embeddings and Gaussian Mixture Modeling, UniMR achieves robust performance across diverse molecular systems and low‐resolution conditions.
Ziqiang Cao +10 more
wiley +1 more source
Developments in the Built EnvironmentInspired by the reinforcement mechanism of Sharpey's fibers at the bone–soft tissue interface, this study proposes a cement-based composite modified with polypropylene fiber (PPF) and silica fume (SF) for the interface between cast-in-place and existing ...
Kun Wang +4 more
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Comparative Insights and Overlooked Factors of Interphase Chemistry in Alkali Metal‐Ion Batteries
Advanced Energy Materials, EarlyView.This review presents a comparative analysis of Li‐, Na‐, and K‐ion batteries, focusing on the critical role of electrode–electrolyte interphases. It especially highlights overlooked aspects such as SEI/CEI misconceptions, binder effects, and self‐discharge relevance, emphasizing the limitations of current understanding and offering strategies for ...
Changhee Lee +3 more
wiley +1 more source
Some results of monitoring the boring of the tunnel Branisko with tunnel boring machine Wirth TB-II-330H/M [PDF]
Acta Montanistica Slovaca, 1997 Paper presents results of monitored parameters of tunnel boring machine Wirth TB-II-330H/M obtained for the tunnel Branisko.
Lazarová Edita
doaj
Prediction of TBM jamming risk in squeezing grounds using Bayesian and artificial neural networks
Journal of Rock Mechanics and Geotechnical Engineering, 2020 This study presents an application of artificial neural network (ANN) and Bayesian network (BN) for evaluation of jamming risk of the shielded tunnel boring machines (TBMs) in adverse ground conditions such as squeezing grounds.
Rohola Hasanpour +4 more
doaj +1 more source