Parameter matchin and optimization for a hydraulic power-assistant system

A hydraulic power-assist system is a hydraulic regeneration system that can significantly improve fuel economy when installed on a conventional bus operating in urban traffic. This paper presents a methodology for matching a new hydraulic power-assist system (HPA) to a conventional bus. The HPA and the conventional bus were modeled using the AMESim environment. The HPA was optimized using a simulation-based orthogonal design method with two indexes, the fuel economy and the acceleration performance. According to the simulation results, the volume of the accumulator was the primary factor affecting fuel economy, and the gear ratio of the transfer case was the primary factor influencing the acceleration performance. As a result, tradeoffs between the two indexes are required for a practical operational scenario. Experimental results demonstrated that the optimal HPA installed on a conventional bus was able to satisfy the acceleration performance requirement of the vehicle and also reduced fuel consumption by 25 percent.     

Experimental research of the EQ6110HEV hybrid electric bus using an on-line debugging system

This paper describes the on-line debugging software developed by our research team. The software has five functions and can be helpful in achieving rapid development for hybrid electric buses. In addition, the software can monitor system states continuously and also modify parametric maps or update control programs using its on-line programming function. Based on the on-line debugging system, the hybrid propulsion control system is designed, and all the working modes of the hybrid electric bus are tested. Finally, experiments are carried out that verify that the debugging system is feasible and reliable. The test results show that the hybrid electric bus can reduce fuel consumption by about 19.1 percent, in comparison with conventional buses.     

地震作用下框架-复合墙结构弹塑性内力计算

框架-复合墙结构是以框架和密肋复合剪力墙共同承担水平地震作用的新型组合式双重抗侧力体系,合理计算弹塑性阶段框架与复合墙的内力是决定大震下结构体系安全性能的关键问题之一.根据6榀典型密肋复合墙试验数据,建立了复合墙体指数式刚度退化模型,量化了墙体在各变形阶段的刚度退化系数.在对比复合墙与框架、混凝土墙、砌体墙刚度退化规律的基础上,分析了复合墙刚度退化对结构受力性能的影响,提出了弹塑性阶段框架-复合墙结构地震内力的实用计算方法,并通过具体算例讨论了结构内力的变化情况.研究结果表明：弹塑性阶段,框架与密肋复合墙刚度退化速度比值呈非线性关系,框架分担总地震剪力的比例增加,但其绝对剪力值增加幅度并不明显;考虑弹塑性阶段复合墙的刚度退化,更好地符合了地震下框架-复合墙结构的实际受力情况.     

Artificial neural network approach to study the effect of injection pressure and timing on diesel engine performance fueled with biodiesel

This study intends to predict the influence of injection pressure and injection timing on performance, emission and combustion characteristics of a diesel engine fuelled with waste cooking palm oil based biodiesel using the artificial neural network (ANN) model. To acquire data for training and testing in the proposed ANN, experiments were carried out in a single cylinder, four stroke direct injection diesel engine at a constant speed of 1500 rpm and at full load (100%) condition. From the experimental results, it was observed that waste cooking palm oil methyl ester provided better engine performance and improved emission and combustion characteristics at injection pressure of 280 bar and timing of 25.5° bTDC. An ANN model was developed using the data acquired from the experiments. Training of ANN was performed based on back propagation learning algorithm. Multilayer perceptron (MLP) network was used for non-linear mapping of the input and output parameters. Among the various networks tested the network with two hidden layers and 11 neurons gave better correlation coefficient for the prediction of engine performance, emission and combustion characteristics. The ANN model was validated with the test data which was not used for training and was found to be very well correlated.     

污垢组合对印度玛纳尔湾水域低碳钢腐蚀行为的影响研究(英文)

Corrosion behaviour and biofouling characteristics of mild steel in three different coastal locations in the Gulf of Mannar,India have been studied over a period of 24 months.Oyster fouling was predominant at Open sea-Tuticorin,while barnacle fouling was dominant at both Mandapam and Harbour-Tuticorin.The rate of corrosion for 24 months exposure period was highest at Mandapam,where fouling was minimal.The surface of the mild steel was characterized by etchings&crevices beneath the hard foulers attached on it,at all the test locations.The depth of crevice caused by hard foulers was higher at Open sea-Tuticorin followed by Harbour-Tuticorin and Mandapam.The loss in ultimate tensile strength was more in Open sea-Tuticorin than the other two locations.Corrosion behaviour of mild steel is discussed based on the variation in the biofouling assemblage at the three test locations.     

Modelling the investment decision of the entrepreneur in the tanker sector: choosing between a second-hand vessel and a newly built one

It is often the case that the investor in the shipping sector faces the dilemma of investing in a second-hand vessel or building a new one. This happens because an active second-hand market for almost all kinds of vessels exists. We argue that one of the prime considerations for the investment decision should not be the price of the vessel per se, second-hand (SH) or newly built (NP) but

• ?(a)?the relative price ratio (SH/NP) second-hand price over the new building price and

• ?(b)?the movement of this ratio.

We investigate the determinants of this ratio across different vessel sizes in the tanker sector and show that it can be used as an effective tool in investment decision as well as in asset appraisal.

We employ monthly data between 1995 and 2006 for four different ship sizes–VLCC, Suezmax, Aframax and Handysize–and implement an error correction model.

The investment decision depends on a number of risk and return variables as well as the perceived speed of adjustment of the price ratio to its equilibrium level.

Overall we claim that the cyclicality of the shipping sector together with expectations formed by the agents operating in it (the entrepreneur, the ship-owner and the broker), determine the movement of the ratio and hence the decision of the entrepreneur.     

Use of GIS-Based Models for Integrating and Developing Marine Fish Cages within the Tourism Industry in Tenerife (Canary Islands)

Site selection is a key factor in any aquaculture operation, affecting both success and sustainability. Moreover, it can solve conflicts between different coastal activities, making a rational use of the coastal space. Geographical information systems (GIS) have become of increased significance for environmental planning and assessment mainly because of the need to compare a great number of spatially related data, and because it can be used to couple these spatial data with their attributes and overlay them. This study used GIS and related technology to build a spatial database using those criteria which were considered to have any influence in integrating marine fish-cage culture within the tourism industry in Tenerife. Criteria were grouped in three submodels (distance to beaches, nautical sports, and viewshed), which were combined to generate a final output showing the most suitable areas for cage culture development in coexistence with tourism. Most areas of the coastline of Tenerife were identified as being suitable (56%) or very suitable (46%), suggesting that marine cage aquaculture could be developed on the island in coexistence with the well-established tourism industry.     

Testing the Effects of Constraints on Climate Change–Friendly Behavior among Groups of Australian Residents

This study explores the relationship between Australian's attitudes toward climate change impacts on the Great Barrier Reef (GBR) and environmentally responsible behavior (ERB). We hypothesize that general attitudes toward climate change, subjective norms, and perceived behavioral control predict intended and reported behavior, and that attitude negatively influences constraints on adopting ERB. The moderating effect of residential condition (urban vs. rural contexts) was tested across these hypothesized relationships. We randomly selected 200 individuals from eight regions: Five within 50 km of the GBR Coastline and three from the Statistical Metropolitan Areas in Australia. We yielded 1,623 surveys by telephone interviews. Findings confirm our hypotheses and suggest the most important predictor of intentions is perceived behavioral control. The two groups of respondents (urban vs. rural) illustrate different relationships. This study offers insight on how managers of the GBR can effectively shape residents' behavioral tendencies that minimize human impacts on the natural environment.     

An Economic Approach to Allocating River Water to Estuaries in South Africa

Estuaries are last in line as a recipient of river water and for this reason they are particularly vulnerable to negative environmental impacts due to water scarcity and pollution. They only receive the runoff that has not been abstracted or prevented from reaching rivers. When this runoff is substantially reduced their functionality is undermined and they often become less attractive for recreational use. This article explores some aspects entailed in efficiently managing the allocation of water to estuaries problem and some associated problems. It is shown that efficient management requires the marginal social costs of the inflows to be brought into equivalence with the marginal social values of the inflows, and these values may be estimated, but that there are the challenges in this estimation and in linking these estimates to the welfare of the people in whom the managers of river systems are (presumed to be) interested.