Temperature-scaled collision process for the high-order lattice Boltzmann model.

Phys Rev E

Department of Mechanics and Aerospace Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China.

Published: July 2019

We postulate that the relaxations of the distribution function in the lattice Boltzmann model should be self-similar under temperature scaling. Based on this postulation, a multiple-relaxation-time collision model in the relative, temperature-scaled reference frame is devised with Hermite expansion. Resorting to the relation between the Hermite basis with the temperature-scaled relative velocity and the Hermite basis with the raw velocity, the relaxations in the temperature-scaled reference frame can be converted to those in the raw reference frame with some correction terms to eliminate the cross-talk effects among the relaxations of different orders. The highest-order nonequilibrium relative central moment is filtered due to the insufficient discrerization in the velocity space. The highest-order collision term can be recursively obtained from the lower-order collision terms. The improved performance is validated by the double shear layer flow, shock tube flow, and the Taylor-Green vortex flow.

Download full-text PDF

Source
http://dx.doi.org/10.1103/PhysRevE.100.013301DOI Listing

Publication Analysis

Top Keywords

reference frame
12
lattice boltzmann
8
boltzmann model
8
temperature-scaled reference
8
hermite basis
8
temperature-scaled
4
temperature-scaled collision
4
collision process
4
process high-order
4
high-order lattice
4

Similar Publications

Risk perception among healthcare professionals working in emergency care in remote locations: a scoping review protocol.

BMJ Open

December 2024

Global Health and Tropical Medicine, GHTM, Associate Laboratory in Translation and Innovation Towards Global Health, LA-REAL, Institute of Hygiene and Tropical Medicine, NOVA University of Lisbon, Lisbon, Portugal.

Introduction: Providing healthcare in emergency services is a multifaceted challenge that demands prompt approaches. Ensuring safety and efficacy becomes even more challenging in 'remote locations', referring to geographical areas located far from urban centres or densely populated regions, often characterised by insufficient access to services, infrastructure and communication channels. Despite the pivotal role of healthcare professionals' skills and knowledge in risk management in these contexts, academic literature has largely overlooked this aspect.

View Article and Find Full Text PDF

Background: Low-value care refers to the provision of health services that confer little or no benefit to patients, or have the potential to incur unwarranted harms. A breadth of literature exists investigating geographical variations in rates of potential low-value interventions for musculoskeletal pain. This scoping review aimed to examine the provision of low-value care for osteoarthritis and lower back pain by degree of rurality (e.

View Article and Find Full Text PDF

In the complex environment of fully mechanized mining faces, the current object detection algorithms face significant challenges in achieving optimal accuracy and real-time detection of mine personnel and safety helmets. This difficulty arises from factors such as uneven lighting conditions and equipment obstructions, which often lead to missed detections. Consequently, these limitations pose a considerable challenge to effective mine safety management.

View Article and Find Full Text PDF

Accurate detection and tracking of dynamic objects are critical for enabling skill demonstration and effective skill generalization in robotic skill learning and application scenarios. To further improve the detection accuracy and tracking speed of the YOLOv8s model in dynamic object tracking tasks, this paper proposes a method to enhance both detection precision and speed based on YOLOv8s architecture. Specifically, a Focused Linear Attention mechanism is introduced into the YOLOv8s backbone network to enhance dynamic object detection accuracy, while the Ghost module is incorporated into the neck network to improve the model's tracking speed for dynamic objects.

View Article and Find Full Text PDF

Dynamic Digital Radiography (DDR) in the Diagnosis of a Diaphragm Dysfunction.

Diagnostics (Basel)

December 2024

Postgraduation School in Radiodiagnostics, Università degli Studi di Milano, Via Festa del Perdono 7, 20122 Milan, Italy.

Dynamic digital radiography (DDR) is a recent imaging technique that allows for real-time visualization of thoracic and pulmonary movement in synchronization with the breathing cycle, providing useful clinical information. A 46-year-old male, a former smoker, was evaluated for unexplained dyspnea and reduced exercise tolerance. His medical history included a SARS-CoV-2 infection in 2021.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!