Numerical Study on the Behaviour of Hybrid FRPs Reinforced RC Slabs Subjected to Blast Loads

The safety of civilian and military infrastructure is a concern due to an increase in explosive risks,which has led to a demand for high-strength civil infrastructure with improved energy absorption capacity.In this study,a Finite Element(FE)numerical model was developed to determine the effect of hybrid Fibre Reinforced Polymer(FRP)as a strengthening material on full-scale Reinforced Concrete(RC)slabs.The reinforcing materials under consideration were Carbon(CFRP)and Glass(GFRP)fibres,which were subjected to blast loads to determine the structural response.A laminated composite fabric material model was utilized to model the failure of composite,which facilitates the consideration of strain rate effects.The damaged area of the laminate is determined in the FE model,and it is in good agreement with the corresponding experimental results in the literature.Models containing different stacking sequences were built to demonstrate their efficiency in resisting blast loads.In general,the damaged area was reduced when a hybrid reinforcement with CFRP as the top layer was used.

WISE USE OF WETLAND FOR SUSTAINABLE LIVELIHOOD THROUGH PARTICIPATORY APPROACH:A CASE OF ADAPTING TO CLIMATE CHANGE

The facts showed that the number of unemployment people is increasing and a large part of them live in the low-lying areas to be facing the challenge from impacts of climate change. So adaptive capacity of the poverty level for sustainable livelihood in vulnerable wetlands is related to coping with local climate change. This paper focuses on soil-less agriculture (Hydroponics) as an alternative source of livelihood means for the communities having no lands for cultivation. Approximately half of Bangladesh is covered with wetlands. The prospect of enormous productivity lies in the development of wetland resources. The soil-less agriculture is an indigenous practice in the middle of southwestern part of Bangladesh. The people who lives within the wetland ecosystems uses locally available paddy straws, water hyacinths and various invasively aquatic plants for making the floating mat or organic bed on which crops, vegetables and seedlings are grown. The productivity of this farming system is much higher than that of terrestrials agricultural and the system can support fisheries of open water. The compost generated from organic refuse bed is a kind of enriched nutrient and can act as a soil conditioner. It would be a major source of nutrients in aquaculture as well. The system is capable to ensure more agriculture production by restoring wetlands from aquatic invasive plant. In addition, the technology included of the system is friendly to ecosystem of wetlands.

MedGini:Gini index based sustainable health monitoring system using dew computing

Monitoring biosignals is crucial for intelligent health applications.Internet of Health Things(IoHT)provides a new path for monitoring the biosignals.Environment adaptive data dissemination is the primary requirement for the deployment of time and space-efficient monitoring systems.Existing dew-based systems lack an opportunistic architecture of data-synchronization with the cloud.This paper proposes a model that makes efficient use of IoT and cloud-dew architecture for a sustainable health monitoring system.Wireless sensor nodes are used to monitor the biosignals dynamically.All accrued data is temporarily stored in the dew layer.It is synchronized with the cloud at a subsequent phase to achieve seamless accessibility and optimal scalability of the data.Data synchronization plays an essential role in the cloud dew framework.We have used the Gini index and Shannon entropy to ensure intelligent data synchronization with the cloud.Sometimes sensors produce erroneous data,which poses a significant threat to the sustainable health monitoring system.Fuzzy normal distribution with a triangular membership function has been used to clean up the data and filter out the outliers.Further,we compared the proposed MedGini model with the existing models and analyzed the system performance.MedGini is found to outperform others concerning cost and power consumption.