Seismic Performance of Reinforced Concrete Structures at Different Damage Levels |
Author : Md Ibrahim , Shubhalakshmi B. S |
Abstract | Full Text |
Abstract :Performance ofreinforced concrete structures fora broad range of seismic events is a matter of importance. Assessment of
the performance of a structure is done by considering various deformations and damage levels. This study represents a plan or a
process in performance-based design to evaluate the behaviour or the performance level as an acceptance criterion of a reinforced
concrete structure for seismic events, considering the likelihood of occurrence of a major seismic event pertaining to its place based
on the past records of earthquakes and their probabilistic seismic hazards. Story drift ratios were considered as a design parameter
corresponding to the different performance levels established by FEMA 356 (2000). The prescribed acceptance criteria for
different performance levels gives an understanding of damages to be incurred by a reinforced concrete structure under a
particular magnitude of earthquake considering its design lifetime. This helps in designing the structure for a particular seismic
event at the desired level of performance encompassing the economies involved in its design |
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Defect Analysis and Implementation of DMAIC Methodology for Defect Reduction in Tyre Manufacturing |
Author : Prof. Pankaj B. Ranade, Pooja J. Ugale, Shreyash C. Pagare, Tushar R. Pathade, Dhananjay S. Shende |
Abstract | Full Text |
Abstract :-For the development of automobile sector the manufacturing of automobile tyres has become an
essential activity.As various parameters are there in manufacturing of automobile tyre, these industries are
suffering from number of defects. This paper discusses the productivity and quality improvement in a
production sectors by analysis of defects. In this paper DMAIC (Define Measure, Analyze, Improve and Control)
six sigma is implemented as an methodology in tyre production plant. Taguchi methodology is used for design of
experiments (DOE). DOE helps to investigate the effects of variousinputsand output parameters. It gives the
relationship between these two.With addition to DOE, taguchioptimizationis done. In taguchi optimization
initially orthogonal array finalized with their levels for process parameters. The signal to noise ratio calculated
followed by Analysis of Variance (ANOVA). The two significant parameters such as cleaning frequency and
tread identification painting system are used to optimize and reduce the rejections due to various tyre defects.
The quality control tools like histogram, 20-80 analysis and cause and effect diagram are used to find the defects
in tyres. Taguchi analysis gives reduction in no. of defectives when optimum values of parameters are selected.
This approach results in significant financial impact on company quality expenses.
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