Innovative design optimization strategy for the automotive industry

In order to effectively solve modern automotive design problems including the results of nonlinear FEA and multi-body dynamics, a progressive meta-model based design optimization is presented. To reduce the number of initial sample points, two sampling methods are introduced. Then, for efficient and stable construction of meta-models, three metamodel methods are newly introduced which are numerically based on the singular value decomposition technique. To design a practical system considering manufacturing tolerances and optimizing multiple performances, a robust design optimization, 6-sigma constraints and multi-objective strategies are implemented when solving the approximate optimization problem constructed from the meta-models. Until the convergence criteria are satisfied, the initially developed meta-models are progressively improved by adding only one point that minimizes the approximate Lagrangian in the consecutive optimization iterations. Finally, one validation sample and four automotive applications are solved to show the effectiveness of the proposed approach.     

Bumper optimum design using the dynamically equivalent beam under various impact conditions

Nowadays it is required for the bumper system to meet the various impact conditions simultaneously; barrier impact, IIHS (Insurance Institute for Highway Safety) bumper impact and pedestrian impact. Firstly, dynamically equivalent bumper beam models were developed for each impact condition and its accuracy was verified by nonlinear finite element analysis result. Dynamically equivalent pedestrian impact beam model was developed by using the equivalent forces of bumper beam and stiffeners. Pedestrian bending angle was obtained by using this equivalent pedestrian beam model. By combining these equivalent beam models, bumper optimum design program was developed. In this optimum design program, direct search method was used for the optimization algorithm. To verify the accuracy of this optimum design program, a nonlinear finite element result was used. By using this optimum design program, it can be secured the bumper impact performances in an early design stage and it will be also contributed to reduce the design time and test costs.     

An interpretation of inter-container port relationships from the demand perspective

Container ports serve as important conduits to facilitate the efficient flow of containerized cargo. As part of value-driven chain systems that intersect between hinterlands, efficiency gains that are generated within the container port will have a direct impact on the competitive advantage of its users and affect the economic potential of both the origin and destination hinterlands. As such, the paper proposes the usage of indifference analysis propounded in microeconomic theory as a useful means to examine inter-container port competition and complementarity. The framework presented can also be combined with Porter's ‘Diamond’ model in order for inter-container port demand relationships to be quantified, measured and analysed in an holistic manner. Apart from analysing inter-port relationships from the standpoint of container ports, the framework can also be used to analyse inter-port relationships from the perspective of other key players in the value-driven chain system and modified accordingly to incorporate various indicators that are deemed to be relevant to these parties.     

The delimitation of exclusive economic zones

In this paper Admiral Kapoor examines some of the problems relating to the delimitation of maritime boundaries, particularly that of exclusive economic zones, as they affect the hydrographic surveyor.     

Maritime commercial malpractices and piracy under international law

The term ‘Piracy’ tends to be used in a loose, popular sense to refer to various acts of violence or lawlessness at sea which are not, strictly speaking, acts of piracy in law. In this article, the author examines the concept of piracy under international law and related notions such as hijacking and mutiny. In this context, he shows that the ‘malpractices’ of robber bands in such places as the inshore waters of Nigeria and The Philippines are not acts of piracy jure gentium.     

An Assessment of Lake-Level Fluctuations on Beach and Shoreline Changes

Using data collected from May 1978 to November 1996, this article assesses the effects of fluctuating water levels on the beach and shoreline at the Northeast Beach, Point Pelee, Lake Erie, Canada. To compare the serial dynamics of lake levels with net shoreline positional changes and beach net sediment flux, the data are transformed to standard scores to deal with the differences in the units and in the scale associated with each variable. The results demonstrate that over the 18-year period, fluctuating lake levels are associated with shifts in shoreline position and the development of various aggradational and degradational states at the beach. A sustained rapid rise in lake levels will initiate an erosional sequence which will persist even with declining water levels. With a persistent decline in water levels the beach and shoreline will adjust very gradually from unstable, erosional states to an aggradational state. Other results emphasize that those beach sectors directly governed by artificial structures suffered disproportionately higher erosion during high-water levels. Coastal managers must, therefore, be cognizant of the fact that shore protection devices must be carefully designed in order to be effective against the influence of fluctuating lake levels.     

Upstream pollution sources and coastal water quality protection in North Carolina

Abstract

A watershed‐based approach to water quality management is necessary for protecting coastal water quality, but the relative importance of inland pollution sources on estuaries is often overestimated. This can lead to a misallocation of coastal water protection resources and ignorance of coastal zone pollution sources. This overestimation of upstream contributions is attributable to a failure to recognize that many estuaries have little or no inland drainage area, the confusion of basinwide pollutant loading with pollutant delivery to estuaries, the low delivery ratios for many pollutants within drainage basins, and disproportionately high pollutant delivery for sources within the coastal zone. Examples are given from North Carolina. As a general rule, resources expended on pollution control within or near the coastal zone will result in more coastal water quality improvement per unit effort than resources expended upstream.     

Asian product trade

The 'Asian 'flu' has caused uncertainty about the future of product shipping in Asia. Product shipping is a difficult business, subject to the vagaries of such factors as local and regional supply/demand imbalances, refinery inputs, outputs and utilization rates, storage and terminalling considerations, product quality differences, price differentials, seasonal variations, and port traffic. This paper covers the Asia-Pacific product demand and trade by type in four major submarkets: Australasia, Southeast Asia, South Asia and East Asia. Forecasts are created of product demand by type and country, assessing likely additions to refinery capacities, and conducting computer-modelling exercises that simulate refinery output and product blending. The difference between product output and product demand in any given country is assumed to equate to trade. The analysis suggests that Asian economies will recover during the 2000-2005 period, and that there will be an increase in the petroleum product trade.     

Analysis of the continuous berth allocation problem in container ports using a genetic algorithm

The optimal usage of berths plays a key role in raising the efficiency of container terminals. The berth allocation problem in a container terminal is defined as the feasible allocation of berths to incoming ships such that the total time that elapses between the arrival of the ships to their exit from their berths is minimized. In the transportation literature, the latter problem is usually formulated as a mixed integer programming model. Optimization methods, like the branch and bound algorithm, are efficient ways to solve this model but become absolutely unusable when the size of the problem increases. An advanced search method such as GA may be suited to such a situation. In this paper, a genetic-based algorithm is proposed for the problem. Computational results for two test problems (a small and a large-sized problem) are also presented. The results from the small test are also compared with the results obtained from the branch and bound algorithm.