نتایج جستجو برای: load support
تعداد نتایج: 795354 فیلتر نتایج به سال:
this research explores the possible benefits to be derived from interactions between wheels, for supporting a greater proportion of applied loads in the shallower soil layers. this creates possibilities for reducing the risk of deep soil compaction. previous research indicated that different interaction modes occurred under simulated wheel arrangements, being mostly dependent upon the spacing b...
this paper aims to assess the application of support vector machine (svm) regression in order to analysis flexible pavements. to this end, 10000 four-layer flexible pavement sections consisted of asphalt concrete layer, granular base layer, granular subbase layer, and subgrade soil were analyzed under the effect of standard axle loading using multi-layered elastic theory and pavement critical r...
Demand prediction is an important aspect in the development of any model for electricity planning. The analysis of customer load profile and load estimation is an important and useful area of electricity distribution technology and management. In our system we are trying to analyze particular household data so as to define its load profile based upon various factors and try to predict its futur...
this paper presents an auto redundant technique for analysis of grid with curved members.this technique is based on the force method, but in the technique choice of the redundant iscompletely eliminated. the analysis technique is found very effective, accurate andprogrammable. a comprehensive c++ program has been developed to compute internalforces at the end of each member of the grid for diff...
Traditionally, in distributed memory architectures, locality maintenance and load balancing are seen as user level activities involving compiler and runtime system support in software. Such software solutions require an explicit phase of execution, requiring the application to suspend its activities. This paper presents the rst (to our knowledge) architecture-level scheme for extracting localit...
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