Date palm fiber(DPF)and kenaf fiber were reinforced in epoxy having various fiber loading 40%,50%,and 60%by weight.These hybrid samples were manufactured by hot press technique and then characterized for tensile,impac...Date palm fiber(DPF)and kenaf fiber were reinforced in epoxy having various fiber loading 40%,50%,and 60%by weight.These hybrid samples were manufactured by hot press technique and then characterized for tensile,impact,and morphological behavior to evaluate the ratio of fibers in the hybrid composites;the addition of kenaf improved the tensile properties,Scanning Electron Microscopy(SEM)revealed the interfacial bonding of fiber/matrix,and dispersion and void content in composites.Impact test studies reflected the effect of natural fiber with epoxy,level of stress transfer from matrix to reinforced material,and reinforced material’s role in absorbing the impacts.It showed that 50%of DPF had the best shock-absorbing capacity.The obtained results indicated that 30%DPF in hybrid composite showed improved tensile properties and homogeneous distribution of fiber without void content;however,50%DPF loading in hybrid composites had the best impact properties.展开更多
Flood management is a set of activities that have to be carried out in collaboration with multiple agencies.Advanced flood information with early warning generated using remote sensing satellite technologies can help ...Flood management is a set of activities that have to be carried out in collaboration with multiple agencies.Advanced flood information with early warning generated using remote sensing satellite technologies can help the agencies to effectively manage the situation on ground.Various environmental parameters and forecasts provided by different agencies can be analyzed and compared with historical flood events for generating probable flood event alerts.The information(environmental parameters)provided by the agencies are heterogeneous and noncompliant to standards and distributed in nature.Synchronization of data from distributed resources and automation of data analysis process for flood management is a primary prerequisite for faster and efficient decision-making.Web 2.0-based web services enable data creation,sharing,communication,and collaboration on web.Spatial data sharing on web 2.0 for making quality of service using open-source software for efficient flood management is a challenge.Available software architectures proposed for risk and environmental crisis management are too generic in nature and needs lot of modification for flood management.An event-driven model coupled with data standardization procedures using service-oriented architecture provides an effective framework for flood management.In this paper,a framework capable of collecting heterogeneous distributed flood-related information for analyzing and alerting probable flood events is proposed.The framework has been implemented to generate automatic flood extent maps,by analyzing the distributed satellite data(as service).The automation of flood delineation process reduces the overall flood product generation time.Open-source web tools have been utilized in development of spatial information system to visualize and analyze the actual situation on ground facilitating overall decision-making process.展开更多
文摘Date palm fiber(DPF)and kenaf fiber were reinforced in epoxy having various fiber loading 40%,50%,and 60%by weight.These hybrid samples were manufactured by hot press technique and then characterized for tensile,impact,and morphological behavior to evaluate the ratio of fibers in the hybrid composites;the addition of kenaf improved the tensile properties,Scanning Electron Microscopy(SEM)revealed the interfacial bonding of fiber/matrix,and dispersion and void content in composites.Impact test studies reflected the effect of natural fiber with epoxy,level of stress transfer from matrix to reinforced material,and reinforced material’s role in absorbing the impacts.It showed that 50%of DPF had the best shock-absorbing capacity.The obtained results indicated that 30%DPF in hybrid composite showed improved tensile properties and homogeneous distribution of fiber without void content;however,50%DPF loading in hybrid composites had the best impact properties.
文摘Flood management is a set of activities that have to be carried out in collaboration with multiple agencies.Advanced flood information with early warning generated using remote sensing satellite technologies can help the agencies to effectively manage the situation on ground.Various environmental parameters and forecasts provided by different agencies can be analyzed and compared with historical flood events for generating probable flood event alerts.The information(environmental parameters)provided by the agencies are heterogeneous and noncompliant to standards and distributed in nature.Synchronization of data from distributed resources and automation of data analysis process for flood management is a primary prerequisite for faster and efficient decision-making.Web 2.0-based web services enable data creation,sharing,communication,and collaboration on web.Spatial data sharing on web 2.0 for making quality of service using open-source software for efficient flood management is a challenge.Available software architectures proposed for risk and environmental crisis management are too generic in nature and needs lot of modification for flood management.An event-driven model coupled with data standardization procedures using service-oriented architecture provides an effective framework for flood management.In this paper,a framework capable of collecting heterogeneous distributed flood-related information for analyzing and alerting probable flood events is proposed.The framework has been implemented to generate automatic flood extent maps,by analyzing the distributed satellite data(as service).The automation of flood delineation process reduces the overall flood product generation time.Open-source web tools have been utilized in development of spatial information system to visualize and analyze the actual situation on ground facilitating overall decision-making process.
