King's College, Aberdeen

About: King's College, Aberdeen is a based out in . It is known for research contribution in the topics: Poison control & Sedimentary depositional environment. The organization has 712 authors who have published 918 publications receiving 25421 citations. The organization is also known as: King's College, Aberdeen & The University and King's College of Aberdeen.

Elastoplastic design of beam structures subjected to cyclic thermomechanical loads

Abstract: This paper outlines an elastoplastic design approach for beam and plate structures subjected to transverse pressure loads and thermal stresses. The purpose of this study is to overcome the limitations of yield-limited designs by exploiting plastic design theorems. The feasible design space of a clamped beam/plate structure subjected to combined thermomechanical loads is explored considering shakedown (stabilized plasticity) as the design criteria. Analytic and numerical solutions are developed that show that allowing shakedown to occur extends the design space and acceptable loading range. In addition, the structures considered here are also prone to buckling due to thermal loads. In this work, interactions between thermal buckling and shakedown are investigated using numerical parametric studies. It is found that buckling enhances elastoplastic shakedown performance which expands the feasible design domain significantly when high aspect ratio beams are considered. In particular it is shown that the enhancement is 2–4 times for the range of aspect ratios examined.

Surface mass balance analysis at Naradu Glacier, Western Himalaya, India

Abstract: In the present study, we analyze a field-based seven-year data series of surface mass-balance measurements collected during 2011/12 to 2017/18 on Naradu Glacier, western Himalaya, India. The average annual specific mass balance for the said period is - 0.85 m w.e. with the maximum ablation of - 1.15 m w.e. The analysis shows that the topographic features, south and southeast aspects and slopes between 7 to 24 degrees are the reasons behind the maximum ablation from a particular zone. The causes of surface mass balance variability have been analyzed through multiple linear regression analyses (MLRA) by taking temperature and precipitation as predictors. The MLRA demonstrates that 71% of the observed surface mass balance variance can be explained by temperature and precipitation. It clearly illustrates the importance of summer temperature, which alone explains 64% variance of surface mass balance. The seasonal analysis shows that most of the surface mass balance variability is described by summer temperature and winter precipitation as two predictor variables. Among monthly combinations, surface mass balance variance is best characterized by June temperature and September precipitation.

A Distributed Intelligent Traffic System Using Ant Colony Optimization: A NetLogo Modeling Approach

Abstract: As vehicle population continues to increase, trafficmanagement and issues related to congestion is an inevitable consequence. The path taken by drivers to arrive at their destination has the tendency of reducing the traffic within the network or increasing it. The choice of path, however, depends on how much traffic information is available to the drivers at the time of deciding the path to take. It is, therefore, the desire of most drivers to have information on the status of traffic on the candidate routes to a destination. A Distributed Intelligent Traffic System (DITS) which uses Ant Colony Optimization(ACO) to solve the traffic problem is presented in this paper. The DITS is implemented in NetLogo and simulated while studying traffic factors such as average travel speed, average waiting time of cars and the number of stopped cars in queue. Ten separate cases of the simulation have been considered for two scenarios of the DITS, one with ACO and the other without ACO. The average speed for the ACO case was found to be higher in all 10 cases and the average waiting time and the number of stopped cars were lower for the ACO case than the case without ACO, which is the preferred result.