Results 11 to 20 of about 1,157,336 (324)
Effect of Randomness of Parameters on Amplification of Ground Motion in Saturated Sedimentary Valley
Applied Sciences, 2023 Based on Biot’s theory and the indirect boundary element method (IBEM), the Monte Carlo method is utilized to generate random samples to calculate the displacement response of a saturated sedimentary valley under SV wave incidence.
Ying He +4 more
doaj +1 more source
Buildings, 2023 Epoxy resin concrete has superior mechanical properties compared to ordinary concrete, and will play an increasingly important role in urban construction.
Peiqi Chen +3 more
doaj +1 more source
Simulation of Spatially Correlated Multipoint Ground Motions in a Saturated Alluvial Valley
Shock and Vibration, 2021 Based on Biot’s theory, the boundary element method, and spectral representation method, an effective simulation method for multiple-station spatially correlated ground motions on both bedrock and surface is developed, incorporating the spectral density ...
Ying He +4 more
doaj +1 more source
Amplification Effect of Ground Motion in Offshore Meandering Sedimentary Valley
Shock and Vibration, 2021 A sedimentary valley has a visible amplification effect on a seismic response, and the current 2D topographies cannot truthfully reflect the twists and turns of a large-scale river valley.
Hailiang Wang +3 more
doaj +1 more source
地质科技通报, 2021 The use of microbially induced carbonate precipitation (MICP) technology to improve the cementation quality of oil and gas well cementing has attracted more and more attention in recent years.
Tianle Liu +5 more
doaj +1 more source
IEEE Access, 2021 A well-designed demand response (DR) program is essential in smart home to optimize energy usage according to user preferences. In this study, we proposed a multiobjective reinforcement learning (MORL) algorithm to design a DR program.
Song-Jen Chen, Wei-Yu Chiu, Wei-Jen Liu
doaj +1 more source
Learning an Accurate State Transition Dynamics Model by Fitting Both a Function and its Derivative
IEEE Access, 2022 Learning accurate state transition dynamics model in a sample-efficient way is important to predict the future states from the current states and actions of a system both accurately and efficiently in model-based reinforcement learning for many robotic ...
Youngho Kim, Hoosang Lee, Jeha Ryu
doaj +1 more source
Experimental Study on Axial Compression of an Insulating Layer through a Composite Shear Wall
Advances in Civil Engineering, 2021 Based on the research of composite walls at home and abroad, a construction method of continuous opening of the insulation layer in the specimen is proposed.
Yuliang Wang, Congcong Wang, Zhixing Cao
doaj +1 more source
Experience-weighted Attraction Learning in Normal Form Games [PDF]
, 1999 In ‘experience-weighted attraction’ (EWA) learning, strategies have attractions that reflect initial predispositions, are updated based on payoff experience, and determine choice probabilities according to some rule (e.g., logit).
Camerer, Colin F., Ho, Teck Hua
core +2 more sources
IEEE Access, 2022 Snake-like modular robots (MRs) are highly flexible, but, to traverse a challenging terrain or explore a region of interest, MR needs to attain efficient locomotion depending on a tradeoff between objectives like forward velocity and power consumption of
Akash Singh +3 more
doaj +1 more source