5 research outputs found

    Structural Integrity Assessment of Weld for Joining Waveguide to Annular Linear Induction Pump Subjected to Vibration

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    Annular Linear Induction Pump (ALIP) is employed for low flow rate pumping of liquid metals because of its maintenance free operation.  In order to monitor pump vibration during operation, a waveguide with accelerometer combination is employed.  The waveguide is a SS rod of 300 mm length and 20 mm diameter which is provided with a threaded provision at one end for mounting the accelerometer.  The other end of the waveguide is welded to the shell of the ALIP of 3 mm thickness. These waveguides are to be attached to the ALIP in different orientations. The weld connecting the waveguide to the shell of ALIP is subjected to fatigue loading caused due to pump vibration. This paper discusses the analysis carried out to determine the fatigue life of the weld using ASME SECTION VIII DIVISION 2. Keywords. ALIP; vibration; waveguide; weld; fatigue

    Assessing water allocation strategies in the Krishna River Basin, South India

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    In Bloschl, G.; van de Giesen, N.; Muralidharan, D.; Ren, L.; Seyler, F.; Sharma, U.; Vrba, J. (Eds.). Improving integrated surface and groundwater resources management in a vulnerable and changing world: proceedings of Symposium JS.3 at the Joint Convention of the International Association of Hydrological Sciences (IAHS) and the International Association of Hydrogeologists (IAH), Hyderabad, India, 6-12 September 2009. Wallingford, UK: International Association of Hydrological Sciences (IAHS)IAHS Publication 330Water allocation rules are put into place to ensure that various parties receive a portion of developed water supplies. In the Krishna basin, India, all the water available is fully allocated to some purpose for a large part of the year. Over 90% of the allocated water is for irrigation. However, due to increasing demands from the domestic and industrial sectors, as well as expansion in irrigation areas, there is growing competition between the different water use sectors, as well as the three riparian states that share the Krishna basin. In this study, the WEAP (Water Evaluation and Planning) model is used to assess two case studies in which the implications of two separate water transfer schemes are analysed. The first case study presents the feasibility of a proposed water transfer scheme from the Godawari River at the downstream part of the Krishna River. The second case study presents analysis from the Upper Bhima catchment in the upstream part of the Krishna basin. In the second case study, the impact of water transfer out of the basin for electricity generation, on downstream agricultural water demands, is analysed. Results from both studies stress the fact that water resources management in the region has to be done on a seasonal basis by taking monthly variability into consideration. In both cases, water scarcity occurs during the critical dry months

    SSA Elimination after Register Allocation

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    Abstract. Compilers such as gcc use static-single-assignment (SSA) form as an intermediate representation and usually perform SSA elimination before register allocation. But the order could as well be the opposite: the recent approach of SSA-based register allocation performs SSA elimination after register allocation. SSA elimination before register allocation is straightforward and standard, while previously described approaches to SSA elimination after register allocation have shortcomings; in particular, they have problems with implementing copies between memory locations. We present spill-free SSA elimination, a simple and efficient algorithm for SSA elimination after register allocation that avoids increasing the number of spilled variables. We also present three optimizations of the core algorithm. Our experiments show that spillfree SSA elimination takes less than five percent of the total compilation time of a JIT compiler. Our optimizations reduce the number of memory accesses by more than 9 % and improve the program execution time by more than 1.8%.
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