The Soft Transducers Laboratory (LTMS) focuses on the development of processes to incorporate sensors into 3D printed wearable devices. This includes the design, fabrication and characterization of printed sensors within elastomeric materials (i.e. materials exhibiting elastic, rubber-like properties). This also includes the incorporation of discrete components into the digitally manufactured systems for the implementation of […]

Le contexte du projet est que les réfractaires sont des produits manufacturés qui bénéficient de plus en plus des résultats de recherche sur les nouveaux matériaux qui sont développés pour l’industrie aérospatiale. En effet, il y a de plus en plus de composites utilisés comme matériaux réfractaires et les protections de ces matériaux réclament des […]

Woven fabric-reinforced polymers (WFRP) are composite materials consisting of interwoven fibers dispersed in a continuous polymeric matrix phase. Lightweight and yet very strong mechanical characteristics of WFRPs are, however, often disadvantaged by poor quality due to manufacturing defects. The proposed project aims to exploit the simulation tools developed at University of Bristol to simulate the […]

Wireless sensors have attributes such as distributed sensing and wireless connections that make them attractive for civil infrastructure monitoring. A wired physical connection dramatically increases the cost of monitoring systems. For example, the St. Anthony Falls bridge in Minneapolis was reported to cost $3000 per sensor. Wireless sensors are an attractive solution to this problem. […]

Computer-based simulation software, called hygrothermal modeling has become increasingly popular and useful to predict and evaluate heat, air, vapour, and water-related performance of buildings. This research project aims to improve such modelling for wood construction through validation using specifically measured property data and field/lab performance data. The goal is to make modelling a more reliable […]

The proposed project aims to develop dynamic control systems for the autonomous operation of agricultural Wide-Span Implement Carriers (WSICs). The dynamic effects will be integrated into the control algorithms for the stationary and mobile mode of WSIC to further improve the precision and efficiency for path tracking of the machine. The proper control laws will […]

When an earthquake happens, the soil underneath structures loses all or parts of its resistance. This condition is called liquefaction (for loose sands) or cyclic softening (for sensitive clays) as the soil acts as water during the earthquake. Liquefaction or cyclic softening can damage considerably man-made and natural earth structures and cause serious loss of […]

The proposed project will investigate the behavior of high-performance reinforced concrete (RC) core walls, which are designed to rock about their base in two horizontal directions. For this purpose, a 1/6.5 scaled specimen of the 24-story reinforced concrete wall will be built and tested at the Multi-Array Shaking Table (MAST) facility at Tongji University, Shanghai, […]

Soil liquefaction or excess pore water pressure buildup reduces a soil’s stiffness and strength and can result in significant damages during earthquake shaking. The current state of practice on liquefaction evaluation techniques relies mainly on simplified empirical procedures based on case observations and free-field laboratory testing which have been widely limited to clean sands (zero […]

The project aims to develop the deep learning-based algorithm that translate the image style of specific object to the reference style. Firstly, the proposed research focuses on identifying the accurate region in image for style transfer, and then translating the image style in that region. Current techniques about image style transfer are struggling to focus […]

Autonomous operation of oil and gas pipelines is being introduced to the marketplace by utilizing advanced process control and Artificial Intelligence. This Project will explore the use of advanced optimization algorithms in combination with autonomous operation to further increase efficiency of pipelines by continually driving pumps, compressors and valves to achieve the lowest cost operation. […]

The proposed research focuses on bogie dynamic load monitoring using intelligent sensor networks. The existing monitoring systems have several problems including inability to monitor precisely, difficulty in integration with the existing units, and high cost. The proposed research will examine these issues in detail focusing on five main areas: wireless sensors, product definition, prototype development, […]