A5086730944- Smart Materials for Construction
- Structural Health Monitoring Techniques
- Analytical Chemistry and Sensors
- Advanced Sensor and Energy Harvesting Materials
- Image Retrieval and Classification Techniques
- Industrial Vision Systems and Defect Detection
- Advanced Computing and Algorithms
- Advanced Measurement and Detection Methods
- Advanced Image Fusion Techniques
- AI and Multimedia in Education
- Innovative concrete reinforcement materials
- Advanced machining processes and optimization
- Mechanical Behavior of Composites
- Masonry and Concrete Structural Analysis
- Textile materials and evaluations
- Structural Behavior of Reinforced Concrete
- Icing and De-icing Technologies
- Visual Attention and Saliency Detection
Tiangong University
2013-2024
First Teaching Hospital of Tianjin University of Traditional Chinese Medicine
2023
ABSTRACT Structural Health Monitoring (SHM) takes advantage of the recent advances in nanotechnology and sensing order to monitor behavior a structure, assess its performance identify damage at an early stage. state strain throughout entire structure is essential determine stress, detect potential residual stresses after fabrication, also help establish integrity. The Carbon nanotube thread was integrated into three-dimensional braiding materials used for first time as sensor braided...
Abstract Structural health monitoring (SHM) takes advantage of the recent advances in structural behavior to assess performance a structure, identifying damage early stage. In this study, carbon nanotube thread strain sensor was fabricated into three-dimensional (3D) braided composite preform for sensing SHM. We present results an investigation on network 3D composites detection, which variation electrical resistance embedded recorded. Based resistance, location and size damages were...
This study aims to enable intelligent structural health monitoring of internal damage in aerospace components, providing a crucial means assuring safety and reliability the field. To address limitations assumptions traditional methods, carbon nanotube (CNT) yarn sensors are used as key elements. These woven with fiber yarns using three-dimensional six-way braiding process cured resin composites. optimize sensor configuration, an artificial fish swarm algorithm (AFSA) is introduced,...
In order to solve the optimization problem of carbon nanotube (CNT) yarn sensor network embedded in three-dimensional (3D) braided composite materials and realize structural health monitoring internal damage aerospace parts, multi-objective number location sensors was studied using non-dominated neighborhood immune algorithm (NNIA). Through research 3D six-direction braiding process, stress sensitivity single CNT sensor, composites, number, position, coverage constraint functions based on...
Carbon nanotube (CNT) yarn sensors were embedded in 3D braided composites the form of arrays to detect internal damage specimens and study monitoring composites. The signals collected by sensor array CNT preprocessed using dynamic wavelet threshold algorithm. exact position was calculated based on main features resistance signal matrix, which quadratic matrix singular value. results show that localization consistent with actual damage. localizations this can provide a basis for enhancing...
Visual aesthetics has always been an important area of computational vision, and researchers have continued exploring it. To further improve the performance image aesthetic evaluation task, we introduce a Transformer into task. This paper pioneers novel self-supervised model founded upon Transformers. Meanwhile, expand pretext task to capture rich visual representations, adding branch for inpainting masked images in parallel with tasks related quality degradation operations. Our model’s...