[PDF][PDF] Research progress of contact force models in the collision mechanics of multibody system
Impact behavior is a ubiquitous phenomenon in multibody systems. The contact force model
is a pivotal tool to predict the contact characteristics of multibody systems. At present, there …
is a pivotal tool to predict the contact characteristics of multibody systems. At present, there …
Deep neural network enabled corrective source term approach to hybrid analysis and modeling
In this work, we introduce, justify and demonstrate the Corrective Source Term Approach
(CoSTA)—a novel approach to Hybrid Analysis and Modeling (HAM). The objective of HAM …
(CoSTA)—a novel approach to Hybrid Analysis and Modeling (HAM). The objective of HAM …
Machine learning-based rock characterisation models for rotary-percussive drilling
Vibro-impact drilling has shown huge potential of delivering better rate of penetration,
improved tools lifespan and better borehole stability. However, being resonantly instigated …
improved tools lifespan and better borehole stability. However, being resonantly instigated …
[HTML][HTML] Feature-based intelligent models for optimisation of percussive drilling
As a rotary-percussion system, the vibro-impact drilling (VID) system utilises resonantly
induced high frequency periodic impacts alongside existing drill-string rotation to cut through …
induced high frequency periodic impacts alongside existing drill-string rotation to cut through …
多体系统碰撞动力学中接触力模型的研究进展
王庚祥, 马道林, 刘洋, 刘才山 - 力学学报, 2022 - lxxb.cstam.org.cn
接触碰撞行为作为大自然与多体系统中的常见现象, 其接触力模型对于多体系统的碰撞行为机理
研究与性能预测至关重要. 静态弹塑性接触模型与考虑能量耗散的连续接触力模型是研究接触 …
研究与性能预测至关重要. 静态弹塑性接触模型与考虑能量耗散的连续接触力模型是研究接触 …
[HTML][HTML] Bifurcation analysis of a vibro-impacting capsule robot in contact with a circular fold
The lining of the small intestine consists of a series of circular folds, which is the main source
of intestinal resistance for capsule endoscopy. This paper presents an in-depth bifurcation …
of intestinal resistance for capsule endoscopy. This paper presents an in-depth bifurcation …
Real-time prediction of bottom-hole circulating temperature in geothermal wells using machine learning models
Drilling high-temperature geothermal wells presents technical and economic challenges.
Real-time and precise estimation of bottom-hole circulating temperature (BHCT) during …
Real-time and precise estimation of bottom-hole circulating temperature (BHCT) during …
Groundwater storage anomalies projection by optimized deep learning refines groundwater management in typical arid basins
The GRACE satellite provides tools for accurately characterizing the spatiotemporal
variations of regional groundwater storage anomalies (GWSA) under the background of …
variations of regional groundwater storage anomalies (GWSA) under the background of …
Near-grazing bifurcations and deep reinforcement learning control of an impact oscillator with elastic constraints
Z Tan, S Yin, G Wen, Z Pan, X Wu - Meccanica, 2023 - Springer
This paper aims to study the near-grazing bifurcations in a single-degree-of-freedom impact
oscillator with two-side elastic constraints, and further stabilize the near-grazing dynamics …
oscillator with two-side elastic constraints, and further stabilize the near-grazing dynamics …
Application and comparison of feature-based classification models for multistable impact motions of percussive drilling
Dynamics of the bit-rock interaction under percussive drilling often encounter multistability
that produces coexisting impact motions for a wide range of drilling conditions. Some of …
that produces coexisting impact motions for a wide range of drilling conditions. Some of …