Results 41 to 50 of about 6,455,723 (294)

Underwater inspection technology for river-crossing segments of gas pipelines

管道保护
Safety and integrity inspections of river-crossing segments in long-distance oil and gas pipelines are essential, yet traditional methods often face challenges such as low efficiency, high risks, and insufficient accuracy.
Chao WU, Zhongdi LIU, Zi WANG, Zhaobo JIN, Heng RONG   +4 more
doaj   +1 more source

A Robustness Evaluation Method of Natural Gas Pipeline Network Based on Topological Structure Analysis

Frontiers in Energy Research, 2021
As the total mileage of natural gas pipeline network continues to increase, the topological structure of natural gas pipeline network will become more and more complex.
Xueyi Li, Huai Su, Jinjun Zhang, Nan Yang   +3 more
doaj   +1 more source

Computed Tomography‐ and Photoacoustic Imaging‐Active Bioresorbable Electrospun Bismuth Nanoparticle‐Infused Small‐Diameter Vascular Grafts

Advanced Healthcare Materials, EarlyView.
A polymeric graft loaded with radiopaque bismuth nanoparticles is expected to undergo gradual polymer resorption and nanoparticle release. This design enables noninvasive, multimodal monitoring of device integrity, patency, and degradation using computed tomography alongside ultrasound and photoacoustic imaging over 12 weeks.
Allan John R. Barcena, Joy Vanessa D. Perez, Marvin R. Bernardino, Dominic Karl M. Bolinas, Kitz Paul D. Marco, Kim Claudette J. Fernandez, Archana Mishra, Erin Marie D. San Valentin, Jossana A. Damasco, Gino Martin Canlas, Natalie Fowlkes, Richard R. Bouchard, Steven Y. Huang, Marites P. Melancon   +13 more
wiley   +1 more source

Leakage and diffusion simulation of submarine hydrogen-blended natural gas pipeline

You-qi chuyun
Objective Among various safety accidents associated with submarine natural gas pipelines, leakage remains a prevalent concern due to its high frequency.
Yitao FANG, Haichuan TAN, Liang TANG, Mengjie WANG, Jingfa LI, Yue SU   +5 more
doaj   +1 more source

An Accurate and Efficient Fitness-For-Service Assessment Method of Pipes with Defects under Surface Load

Energies, 2021
With continued urbanization in China, the construction of urban gas pipelines is increasing, and the safety of gas pipelines are also increasingly affected by urban development and the increased scope of buildings and roads.
Jianping Liu, Hong Zhang, Baodong Wang, Dong Zhang, Beilei Ji, Fan Fei, Xiaoben Liu   +6 more
doaj   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Characteristics of Interference Fluctuation of Different Types of Stray Currents on Pipelines [PDF]

Cailiao Baohu
AC/DC stray current interference corrosion has become one of the main causes of pipeline failure and damage， which seriously threatens the safety of pipeline operation.In order to understand the characteristics of different AC-DC stray current ...
XU Chengwei, CHEN Ruirui, ZHANG Rong, XIA Liang, LAN Wei, BI Wuxi
doaj   +1 more source

Identification of the characteristic parameters for gas pipe sections using the maximum likelihood method and least square method

Engineering Reports, 2022
The pipeline efficiency factor (E‐value) and the overall heat transfer coefficient (K‐value) are, respectively, the characteristic parameters that describe the flow and heat transfer behavior of gas pipe sections.
Huiyu Chen, Da Qi, Hui Wang, Qiang Zhang, Yaran Bu, Lili Zuo   +5 more
doaj   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Inversion model of stress state reconstruction for geological hazard pipelines based on digital twin

Discover Applied Sciences
Due to the frequent occurrence of geological disasters worldwide, which pose a serious threat to infrastructure such as pipelines, accurately assessing the stress state of pipelines has become an urgent issue to be addressed. To improve the real-time and
Xue Luning, Tian Mingliang, Zhao Juncheng   +2 more
doaj   +1 more source