Results 111 to 120 of about 7,526 (294)
A scientometric analysis of 2449 journal articles and a comprehensive review of 336 papers were conducted, discussing and identifying challenges and research gaps in rockburst prediction and prevention and proposing an ontology‐based framework for better decision‐making in underground excavations. Abstract With underground engineering projects becoming
Hongchuan Yan +6 more
wiley +1 more source
A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li +7 more
wiley +1 more source
The research presented in this thesis regards the development of a “multi-purpose” microscopic simulation model of railway systems, that can effectively support different design activities, overcoming applicability limits of commercial microscopic models,
Quaglietta, Egidio
core
This study examines energy evolution in rock rupture via triaxial direct shear tests, exploring the impact of confining pressure and temperature on fracture surface randomness. A novel energy‐based brittleness index is proposed, validated experimentally, and compared with existing methods for reliability and accuracy.
Biao Wang +5 more
wiley +1 more source
Adhesion Control Logic Analysis of Domestic Traction Trains in Guangzhou Metro Third-northern Line
The application characteristics of adhesion control logic in 120 km/h domestic traction metro trains of Guangzhou metro third-northern line were introduced. Compared with the Siemens train, domestic traction train adhesion control was more outstanding in
FAN Jiafeng, HE Wenle, ZHAO Renlong
doaj
The flowchart illustrates rock specimen testing, vibration signal acquisition, and feature extraction with Gaborlet and sparse filtering for classification. Abstract Traditional lithology identification methods mainly rely on core sampling and well‐logging data.
Jian Hao +5 more
wiley +1 more source
This paper explores how climate‐resilient technologies, such as smart grids, digital twins, and self‐healing materials, can enhance urban resilience. It highlights the urgent need for proactive planning, public‐private collaboration, and data‐driven innovation to future‐proof underground infrastructure amid accelerating climate and urban pressures ...
Kai Chen Goh +12 more
wiley +1 more source
As metro construction expands in scale, the energy consumption of metro trains has been rising year by year, underscoring the importance of analyzing the factors that affect train energy consumption and developing energy-saving measures. Based on data of
YANG Xusheng, HE Tao, ZHOU Shuang
doaj
Research on Big Data Visualization Methods of Urban Rail Transit Passenger Flow
ObjectiveThe existing static chart analysis methods fail to intuitively demonstrate the time-variability of passenger flow data with time or the spatial asymmetry varying with spatial attributes.
Zheng JIANG, Xikui LYU, Xinhua LIU
doaj +1 more source
An analytical framework delivers a closed‐form stress solution for lined compressed air energy storage chambers, enabling the determination of the minimum safe burial depth. The solution quantitatively evaluates lining support effectiveness, offering a reliable tool for chamber design and optimization.
Zeyuan Sun +3 more
wiley +1 more source

