Effect of seismic design details on hysteresis performance of SRC-RC transfer columns

Four types of seismic design details were tested using 11 transfer column specimens and one comparison specimen of RC under low cyclic reversed loading. Test results show that diagonal cracks control the failure pattern and damage occurs mainly in the RC section with weak shear capacity in the transfer columns. There is a large difference in the bearing capacity and ductility of the transfer columns according to the test results, which indicates that the strengthening effect of diverse structural measures is quite different. The section ratio of I-section-encased steel and the axial compression ratio also have a great influence on the bearing capacity and ductility. Although the bearing capacity of transfer columns with additional longitudinal bars and additional X bars is relatively large, they have poor deformation capacity. Setting more stirrups along the columns is the best structural measure to enhance the seismic performance. The studs on the I-sectionencased steel by welding can help to complete the stress transfer between the steel and concrete, and avoid performance degradation of the two materials due to bonding failure.

ARCHITECTURE MODEL AND RESOURCE GRAPH BUILDING ALGORITHM FOR DETAILED FPGA ARCHITECTURE DESIGN

This paper addresses the issue of designing the detailed architectures of Field-Programmable Gate Arrays(FPGAs), which has a great impact on the overall performances of an FPGA in practice. Firstly, a novel FPGA architecture description model is proposed based on an easy-to-use file format known as YAML. This format permits the description of any detailed architecture of hard blocks and channels. Then a general algorithm of building FPGA resource graph is presented. The proposed model is scalable and capable of dealing with detailed architecture design and can be used in FPGA architecture evaluation system which is developed to enable detailed architecture design. Experimental results show that a maximum of 16.36% reduction in total wirelength and a maximum of 9.34% reduction in router effort can be obtained by making very little changes to detailed architectures, which verifies the necessity and effectiveness of the proposed model.

Application of the dividing wall column to olefin separation in fluidization methanol to propylene(FMTP) process

Dividing wall column(DWC)is shown to be energy efficient compared to conventional column sequence for multi components separation,which is used for olefin separation in fluidization methanol to propylene process in the present work.Detailed design for pilot DWC was performed and five control structures,i.e.composition control(CC),temperature control(TC),composition-temperature control(CC-TC),temperature difference control(TDC),double temperature difference control(DTDC)were proposed to circumvent feed disturbance.Sensitivity analysis and singular value decomposition(SVD)were used as criterion to select the controlled temperature locations in TC,CC-TC,TDC and DTDC control loops.The steady simulation result demonstrates that 25.7% and 30.2% duty can be saved for condenser and reboiler by substituting conventional column sequence with DWC,respectively.As for control structure selection,TC and TDC perform better than other three control schemes with smaller maximum deviation and shorter settling time.

Multi-Agent Based Stochastic Dynamical Model to Measure Community Resilience

Emergency services and utilities need appropriate planning tools to analyze and improve infrastructure and community resilience to disasters.Recognized as a key metric of community resilience is the social well-being of a community during a disaster,which is made up of mental and physical social health.Other factors influencing community resilience directly or indirectly are emotional health,emergency services,and the availability of critical infrastructures services,such as food,agriculture,water,transportation,electric power,and communications system.It turns out that in computational social science literature dealing with community resilience,the role of these critical infrastructures along with some important social characteristics is not considered.To address these weaknesses,we develop a new multi-agent based stochastic dynamical model,standardized by overview,design concepts,details,and decision(ODD+D)protocol and derived from neuro-science,psychological and social sciences,to measure community resilience in terms of mental and physical well-being.Using this model,we analyze the micro-macro level dependence between the emergency services and power systems and social characteristics such as fear,risk perception,informationseeking behaviour,cooperation,flexibility,empathy,and experience,in an artificial society.Furthermore,we simulate this model in two case studies and show that a high level of flexibility,experience,and cooperation enhances community resilience.Implications for both theory and practice are discussed.

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