Results 71 to 80 of about 46,863 (244)

Learning Agent for a Heat-Pump Thermostat With a Set-Back Strategy Using Model-Free Reinforcement Learning

, 2015
The conventional control paradigm for a heat pump with a less efficient auxiliary heating element is to keep its temperature set point constant during the day.
Belmans, Ronnie, Claessens, Bert J., Iacovella, Sandro, Ruelens, Frederik   +3 more
core   +2 more sources

Multiple injection techniques to stimulate complex fracture networks in coal reservoirs: A case study on gas disaster reduction of subsurface coal mine in southwest China

Deep Underground Science and Engineering, EarlyView.
An experimental device for physical simulation of hydraulic fracturing, comprising: a load‐bearing mechanism with multiple interconnected plates that collectively form an sample chamber; a load‐generating mechanisms, with multiple load‐generating mechanisms arranged within the experimental chamber.
Delei Shang, Farui Shi, Jun Lu, Minghui Li, Cunbao Li, Heping Xie   +5 more
wiley   +1 more source

Review of methods for assessing the carcinogenic hazards from coal-using energy technologies [PDF]

, 1976
This report contains material relevant to the development of methodologies for evaluating the cancer risks associated with atmospheric pollutants from coal combustion and conversion processes.
Gruhl, Jim
core  

Gaborlet‐guided sparse filtering: A novel intelligent method for lithology identification by vibration signals while drilling

Deep Underground Science and Engineering, EarlyView.
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, Danqi Zhang, Zhenqi Song, Jinrui Wang, Qi Wang, Heqing Liu   +5 more
wiley   +1 more source

Modeling and experimental validation of bolt–grout bond–slip behavior for deep underground excavation support

Deep Underground Science and Engineering, EarlyView.
A novel shear‐lag model, validated by pull‐out tests, incorporates a constant bond stress stage to predict the complete load–displacement response of grouted rock bolts, providing a new tool for optimizing anchorage length and material toughness in deep underground engineering. Abstract The stability of rock masses in deep underground excavations, such
Wenhui Bian, Xiaohui He, Kexue Wang, Yufei Wu, Guoxin Wang, Shaochen Zhang, Jun Yang   +6 more
wiley   +1 more source

Research progress and current status of dynamic wave propagation characteristics in rock mass: A review

Deep Underground Science and Engineering, EarlyView.
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu, Tao Li, Ruiqi Yuan, Yue Li, Bingni Wu, Bo Liu, Zhengding Deng, Galindo Rubén, Fausto Molina‐Gómez   +8 more
wiley   +1 more source

Mechanism and disaster control new technology of strong ground pressure manifestation in ultra‐large mining face

Deep Underground Science and Engineering, EarlyView.
In response to the problem of strong mining pressure manifestation along the goaf roadway in a thick coal seam mining area, this study uses a new type of combined blasting roof cutting technology to effectively control the manifestation and deformation of mining pressure along the goaf roadway.
Xiaoding Xu, Manchao He, Jun Yang, Yubing Gao, Qiang Fu, Qing Ma, Yajun Wang   +6 more
wiley   +1 more source

Monitoring New Technological Developments in the Electricity Industry : An International Perspective [PDF]

Being able to monitor and asses technological developments represents an essential activity for an industry expected to be increasingly active in all of the regions of the world and in markets which require a wide array of differing technological ...
Lise Préfontaine, Louis A. Lefebvre, Élisabeth Lefebvre   +2 more
core  

Machine Learning‐Driven Classification and Production Capacity Prediction of Tight Sandstone Reservoirs: A Case Study of the Taiyuan Formation, Ordos Basin

Energy Science &Engineering, EarlyView.
On the basis of core and log data, a Bayesian‐Optimized Random Forest model achieved 92.76% accuracy in classifying tight sandstone reservoirs. A gray relational analysis‐derived evaluation index shows > 80% consistency with actual gas zones. ABSTRACT Tight sandstone gas (TSG), an unconventional oil–gas resource, has heterogeneous reservoirs ...
Yin Yuan, Haijiao Fu, Detian Yan, Gang Wang, Shuguang Yang, Mengmeng Liu, Qingling Jiang, Xiaoming Wang, Wei Wang   +8 more
wiley   +1 more source

A reference book on rocks and minerals of New England for gifted students in the intermediate grades. [PDF]

, 1959
Thesis (Ed.M.)--Boston ...
Carson, Janine A., Edwards, Harriet L.
core   +1 more source