327 research outputs found

    Process costing of microchip

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    The CMOS microchip is the workhorse of the semiconductor industry. An estimated price of a CMOS chip for an 8 wafer was stated as {dollar}1.65/chip (65). The manufacturing model was formed with practical processing times, number of machines, steps of manufacturing process, labor required, construction costs, land costs, etc as input parameters. This cost model attempts to analyze costs and calculate the cost per chip. Different sections of costs have been individually analyzed in turn to reflect their impact on the finished product. A simulation model has been run to reflect an actual semiconductor manufacturing scenario. Simulation model is also used to estimate labor required for the process.;The cost was calculated based on yield, number of chips/wafer and total expenditure by the fab. A simulation model was created in Arena 6.0 professional version, which allows the user to make changes to the model to reflect the changes in the fab. The calculated cost of the model for a CMOS chip was obtained as {dollar}0.75/chip

    Preparation and storage behaviour of fish protein biscuits

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    This paper deals with the investigations carried out on the preparation and storage characteristics of protein enriched biscuits (sweet and salt), incorporated with partially de-odourised fish protein concentrate. The product contains more than 20% protein and has storage life exceeding 6 months at room temperature (21°C to 32°C), in 400 gauge polythene bags

    A Study on Comparative Analysis of Major Stock Indices of World

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    Experts talk lots on integration of major stock indices of the world. In this research paper researcher has tried to establish integration between major stock indices of the world by calculating correlation and applying anova on daily return of 16 major stock indices of the world. In research it is found that preceding and succeeding time of opening the stock market plays vital roles in terms of effect on each other. To achieve the objectives of research, last 5 years daily closing price of these 16 indices is collected and analyzed for quantifying the level of correlation between different stock indices. As sufficient time period is taken and daily closing prices are analyzed so it is found there is not significant difference in the daily return of these stock indices

    āŠļāŠūāŠŪāŠūāŠĻāŦāŠŊ āŠĩāŠŋāŠ§āŠūāŠ°āŦāŠĨāŦ€āŠ“āŠĻāŦ€ āŠĪāŦāŠēāŠĻāŠūāŠŪāŠū āŠŪāŦ‚āŠ•-āŠŽāŠ§āŠŋāŠ° āŠĩāŠŋāŠ§āŠūāŠ°āŦāŠĨāŦ€āŠ“āŠĻāŦāŠ‚ āŠ…āŠĻāŦāŠ•āŦ‚āŠēāŠĻ, āŠļāŠŋāŠĶāŦāŠ§āŠŋ āŠŠāŦāŠ°āŦ‡āŠ°āŠĢāŠū, āŠœāŠŋāŠœāŦāŠžāŠūāŠļāŠū āŠ…āŠĻāŦ‡ āŠđāŠĪāŠūāŠķāŠūāŠĻāŦ‹ āŠ…āŠ­āŦāŠŊāŠūāŠļ

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    āŠļāŠŪāŠūāŠœ āŠ…āŠĻāŦ‡ āŠ°āŠūāŠ·āŦāŠŸāŦāŠ°āŠĻāŠūāŠ‚ āŠ­āŠūāŠĩāŠŋ āŠĻāŠūāŠ—āŠ°āŠŋāŠ•āŦ‹āŠĻāŦ‹ āŠŪāŠđāŠĪāŦāŠĪāŦāŠĩāŠĻāŦ‹ āŠĩāŠŋāŠ•āŠūāŠļ āŠķāŠūāŠģāŠūāŠ“āŠŪāŠūāŠ‚ āŠĨāŠūāŠŊ āŠ›āŦ‡. āŠŪāŠĻāŦ‹āŠĩāŦˆāŠœāŦāŠžāŠūāŠĻāŠŋāŠ•āŦ‹āŠĻāŠū āŠŪāŠĪāŦ‡ āŠŽāŠūāŠģāŠ•āŠĻāŠū āŠķāŠ°āŦ‚āŠ†āŠĪāŠĻāŠūāŠ‚ āŠĩāŠ°āŦāŠ·āŦ‹ āŠĪāŦ‡āŠĻāŠū āŠĩāŠŋāŠ•āŠūāŠļ āŠŪāŠūāŠŸāŦ‡ āŠ–āŦ‚āŠŽ āŠœ āŠ…āŠ—āŠĪāŦāŠŊāŠĻāŠū āŠŠāŠūāŠŊāŠūāŠ°āŦ‚āŠŠ āŠ›āŦ‡, āŠ…āŠĻāŦ‡ āŠŽāŠūāŠģ āŠĩāŠŋāŠ•āŠūāŠļāŠĻāŠū āŠķāŦāŠ°āŦ‡āŠ·āŦāŠ  āŠĪāŠŽāŠ•āŦāŠ•āŠūāŠŪāŠūāŠ‚ āŠķāŠŋāŠ•āŦāŠ·āŠ• āŠĩāŠŋāŠĩāŠŋāŠ§ āŠŠāŦāŠ°āŠ•āŠūāŠ°āŠĻāŦ€ āŠ­āŦ‚āŠŪāŠŋāŠ•āŠū āŠ­āŠœāŠĩāŦ‡ āŠ›āŦ‡. āŠđāŠēāŠĻ-āŠšāŠēāŠĻ āŠŪāŠūāŠŸāŦ‡, āŠļāŠūāŠ‚āŠ­āŠģāŠĩāŠū āŠŪāŠūāŠŸāŦ‡, āŠĩāŠŋāŠšāŠūāŠ°āŠĩāŠū āŠŪāŠūāŠŸāŦ‡ āŠĩāŠ—āŦ‡āŠ°āŦ‡ āŠ•āŠūāŠ°āŦāŠŊāŦ‹ āŠŪāŠūāŠŸāŦ‡ āŠ•āŦāŠĶāŠ°āŠĪāŦ‡ āŠŪāŠūāŠĻāŠĩāŠĻāŦ‡ āŠœāŦāŠĶāŠū āŠœāŦāŠĶāŠū āŠ…āŠĩāŠŊāŠĩāŦ‹ āŠ†āŠŠāŦāŠŊāŠū āŠ›āŦ‡. āŠ† āŠ…āŠĩāŠŊāŠĩāŦ‹āŠŪāŠūāŠ‚ āŠœāŦāŠŊāŠūāŠ°āŦ‡ āŠ–āŠūāŠŪāŦ€ āŠ†āŠĩāŦ‡ āŠ…āŠĻāŦ‡ āŠĪāŦ‡āŠĨāŦ€ āŠķāŠūāŠ°āŦ€āŠ°āŠŋāŠ• āŠ•āŦ‡ āŠŪāŠūāŠĻāŠļāŠŋāŠ• āŠ•āŠūāŠŪ āŠ•āŠ°āŠĩāŠūāŠĻāŦ€ āŠķāŠ•āŦāŠĪāŠŋ āŠĪāŠĶāŦāŠĻ āŠ…āŠŸāŠ•āŦ€ āŠœāŠūāŠŊ āŠ•āŦ‡ āŠ“āŠ›āŦ€ āŠĨāŠˆ āŠœāŠūāŠŊ āŠĪāŦ‡āŠĻāŦ‡ āŠ•āŦāŠĶāŠ°āŠĪāŦ€ āŠ•āŦāŠ·āŠĪāŠŋ āŠŊāŦāŠ•āŦāŠĪ āŠŽāŠūāŠģāŠ• āŠ›āŦ‡ āŠĪāŦ‡āŠŪ āŠ•āŠđāŦ€āŠ āŠ›āŦ€āŠ. āŠāŠ• āŠļāŠŪāŠŊ āŠāŠĩāŦ‹ āŠđāŠĪāŦ‹ āŠ•āŦ‡ āŠēāŦ‹āŠ•āŦ‹ āŠŪāŦ‚āŠ•-āŠŽāŠ§āŠŋāŠ° āŠŽāŠūāŠģāŠ•āŦ‹ āŠĪāŠ°āŠŦ āŠĪāŦāŠšāŦāŠ›āŠ•āŠūāŠ°āŠĨāŦ€ āŠœāŦ‹āŠĪāŠū. āŠĪāŦ‡āŠĻāŦ‡ āŠļāŠŪāŠūāŠœ āŠŪāŠūāŠŸāŦ‡ āŠ­āŠūāŠ° āŠ°āŦ‚āŠŠ āŠ—āŠĢāŠĩāŠūāŠĻāŦ€ āŠŪāŠūāŠĻāŦāŠŊāŠĪāŠū āŠđāŠĪāŦ€. āŠŪāŦ‚āŠ•-āŠŽāŠ§āŠŋāŠ°āŦ‹āŠĻāŦ‡ āŠŠāŦ‹āŠĪāŠūāŠĻāŦ€ āŠķāŦ‡āŠ· āŠ•āŦāŠ·āŠŪāŠĪāŠūāŠ“āŠĻāŦ‹ āŠ‰āŠŠāŠŊāŦ‹āŠ— āŠ•āŠ°āŠĩāŠūāŠĻāŦ€ āŠĪāŠ• āŠŪāŠģāŠĪāŦ€ āŠĻ āŠđāŠĪāŦ€. āŠđāŠĩāŦ‡ āŠļāŠĶāŦāŠ­āŠūāŠ—āŦāŠŊāŦ‡ āŠŠāŠ°āŠŋāŠļāŦāŠĨāŠŋāŠĪāŠŋ āŠ•āŠ‚āŠˆāŠ• āŠŽāŠĶāŠēāŠūāŠˆ āŠ›āŦ‡. āŠœāŠ—āŠĪ āŠļāŠŪāŠœāŠĪāŦāŠ‚ āŠĨāŠŊāŦ āŠ›āŦ‡ āŠ•āŦ‡ āŠāŠ• āŠŊāŠū āŠŽāŦ‡ āŠ…āŠ‚āŠ—āŦ‹āŠĻāŦ€ āŠ–āŠūāŠŪāŦ€āŠĨāŦ€ āŠŪāŠūāŠĻāŠĩāŦ€ āŠŠāŦ‹āŠĪāŠūāŠĻāŦ€ āŠŠāŦ‚āŠ°āŦāŠĢ āŠ•āŦāŠ·āŠŪāŠĪāŠū āŠ—āŦāŠŪāŠūāŠĩāŦ€ āŠŽāŦ‡āŠļāŠĪāŦ‹ āŠĻāŠĨāŦ€. āŠŪāŦ‚āŠ•-āŠŽāŠ§āŠŋāŠ° āŠĩāŦāŠŊāŠ•āŦāŠĪāŠŋ āŠŠāŠĢ āŠŠāŦāŠ°āŠ­āŠūāŠĩāŦ€ āŠœāŦ€āŠĩāŠĻ āŠœāŦ€āŠĩāŦ€ āŠķāŠ•āŦ‡ āŠ›āŦ‡. āŠĪāŦ‡āŠĻāŠūāŠŪāŠūāŠ‚ āŠĪāŦ‡āŠŪāŠĻāŦ‡ āŠŊāŦ‹āŠ—āŦāŠŊ āŠāŠĩāŦ€ āŠ•āŠūāŠŪ āŠ•āŠ°āŠĩāŠūāŠĻāŦ€ āŠķāŠ•āŦāŠĪāŠŋ āŠ°āŠđāŦ‡āŠēāŦ€ āŠđāŦ‹āŠŊ āŠ›āŦ‡. āŠļāŠūāŠŪāŠūāŠĻāŦāŠŊ āŠĩāŠŋāŠĶāŦāŠŊāŠūāŠ°āŦāŠĨāŦ€āŠ“āŠĻāŦ€ āŠĪāŦāŠēāŠĻāŠūāŠŪāŠūāŠ‚ āŠŪāŦ‚āŠ•-āŠŽāŠ§āŠŋāŠ° āŠĩāŠŋāŠĶāŦāŠŊāŠūāŠ°āŦāŠĨāŦ€āŠ“āŠĻāŦ‡ āŠ•āŦ‡āŠŸāŠēāŦ€āŠ• āŠķāŠūāŠ°āŦ€āŠ°āŠŋāŠ• āŠ–āŠūāŠŪāŦ€ āŠđāŦ‹āŠŊ āŠ›āŦ‡. āŠļāŠūāŠŪāŠūāŠĻāŦāŠŊ āŠĩāŠŋāŠĶāŦāŠŊāŠūāŠ°āŦāŠĨāŦ€āŠ“ āŠœāŦ‡ āŠŠāŦāŠ°āŠ•āŠūāŠ°āŠĻāŠūāŠ‚ āŠŪāŠĻāŦ‹āŠ­āŠūāŠĩāŦ‹ āŠ…āŠĻāŦāŠ­āŠĩāŦ‡ āŠ›āŦ‡ āŠĪāŦ‡ āŠĪāŠŪāŠūāŠŪ āŠŪāŠĻāŦ‹āŠ­āŠūāŠĩ āŠœāŦ‡āŠĩāŠū āŠ•āŦ‡ āŠ—āŠŪāŠū-āŠ…āŠĢāŠ—āŠŪāŠū āŠĩāŦāŠŊāŠ•āŦāŠĪ āŠ•āŠ°āŠĩāŠū, āŠŪāŠđāŦ‡āŠĻāŠĪ āŠ•āŠ°āŦ€ āŠĩāŠŋāŠ•āŠūāŠļ āŠ•āŠ°āŠĩāŠūāŠĻāŦ€ āŠĪāŠŪāŠĻāŦāŠĻāŠū āŠļāŦ‡āŠĩāŠĩāŦ€ āŠ…āŠĻāŦ‡ āŠĪāŦ‡ āŠļāŠūāŠĨāŦ‡ āŠŠāŦ‹āŠĪāŠūāŠĻāŦ€ āŠĩāŠŋāŠķāŠŋāŠ·āŦāŠŸ āŠ“āŠģāŠ– āŠŠāŦāŠ°āŠļāŦāŠĨāŠūāŠŠāŠŋāŠĪ āŠ•āŠ°āŠĩāŦ€ āŠĩāŠ—āŦ‡āŠ°āŦ‡ āŠŪāŦ‚āŠ•-āŠŽāŠ§āŠŋāŠ° āŠĩāŠŋāŠĶāŦāŠŊāŠūāŠ°āŦāŠĨāŦ€āŠ“ āŠŠāŠĢ āŠ…āŠĻāŦāŠ­āŠĩāŦ‡ āŠ›āŦ‡. āŠ…āŠēāŠŽāŠĪāŦāŠĪ āŠĪāŦ‡āŠŪāŠĻāŦ€ āŠķāŠūāŠ°āŦ€āŠ°āŠŋāŠ• āŠ–āŠūāŠŪāŦ€āŠ“āŠĻāŦ€ āŠ…āŠļāŠ° āŠĪāŦ‡āŠŪāŠĻāŦ€ āŠķāŦˆāŠ•āŦāŠ·āŠĢāŠŋāŠ• āŠŽāŠūāŠŽāŠĪāŦ‹ āŠŠāŠ° āŠŠāŠĢ āŠŠāŠĄāŦ‡ āŠ›āŦ‡. āŠĪāŦ‡āŠŪāŠĻāŠū āŠĩāŦāŠŊāŠ•āŦāŠĪāŠŋāŠĪāŦāŠĩāŠĻāŠū āŠĩāŠŋāŠ•āŠūāŠļāŠĻāŦ€ āŠĪāŠ°āŠūāŠđ āŠŠāŠ° āŠķāŠūāŠ°āŦ€āŠ°āŠŋāŠ• āŠ•āŦāŠ·āŠĪāŠŋāŠĻāŦ‹ āŠŠāŦāŠ°āŠ­āŠūāŠĩ āŠŠāŠĄāŠĪāŦ‹ āŠđāŦ‹āŠŊ āŠ›āŦ‡. āŠķāŠŋāŠ•āŦāŠ·āŠĢ āŠœāŠ—āŠĪāŠŪāŠūāŠ‚ āŠ†āŠœāŦ‡ āŠŪāŠūāŠĻāŠļāŠŋāŠ• āŠ…āŠĻāŦ‡ āŠķāŠūāŠ°āŦ€āŠ°āŠŋāŠ• āŠ•āŦāŠ·āŠĪāŠŋ āŠ§āŠ°āŠūāŠĩāŠĪāŠū āŠŽāŠūāŠģāŠ•āŦ‹āŠĻāŠū āŠķāŠŋāŠ•āŦāŠ·āŠĢ āŠ…āŠ‚āŠ—āŦ‡āŠĻāŦāŠ‚ āŠ•āŦāŠ·āŦ‡āŠĪāŦāŠ° āŠļāŦŒāŠĻāŦāŠ‚ āŠ§āŦāŠŊāŠūāŠĻ āŠ–āŦ‡āŠ‚āŠšāŦ€ āŠ°āŠđāŦāŠŊāŦāŠ‚ āŠ›āŦ‡ āŠĪāŦ‡āŠŪāŠĻāŦāŠ‚ āŠœāŦ€āŠĩāŠĻ āŠŪāŦāŠķāŦāŠ•āŦ‡āŠēāŦ€āŠ“ āŠ°āŠđāŠŋāŠĪ āŠŽāŠĻāŦ€ āŠķāŠ•āŦ‡ āŠĪāŦ‡ āŠŪāŠūāŠŸāŦ‡ āŠĪāŦ‡āŠŪāŠĻāŦ‡ āŠĩāŠŋāŠķāŠŋāŠ·āŦāŠŸ āŠŠāŦāŠ°āŠ•āŠūāŠ°āŠĻāŦāŠ‚ āŠķāŠŋāŠ•āŦāŠ·āŠĢ āŠ†āŠŠāŠĩāŠūāŠŪāŠūāŠ‚ āŠ†āŠĩāŦ‡ āŠ›āŦ‡. āŠļāŠ‚āŠķāŦ‹āŠ§āŠ• āŠŪāŠūāŠ§āŦāŠŊāŠŪāŠŋāŠ• āŠķāŠūāŠģāŠūāŠŪāŠūāŠ‚ āŠļāŦ‡āŠĩāŠū āŠŽāŠœāŠūāŠĩāŦ‡ āŠ›āŦ‡. āŠļāŦ‡āŠĩāŠū āŠ•āŠūāŠ°āŦāŠŊ āŠĶāŠ°āŠŪāŦāŠŊāŠūāŠĻ āŠļāŠ‚āŠķāŦ‹āŠ§āŠ•āŠĻāŠū āŠ§āŦāŠŊāŠūāŠĻ āŠŠāŠ° āŠ†āŠĩāŦāŠŊāŦāŠ‚ āŠ•āŦ‡ āŠķāŠūāŠģāŠūāŠŪāŠūāŠ‚ āŠ…āŠ­āŦāŠŊāŠūāŠļāŠūāŠ°āŦāŠĨāŦ‡ āŠ†āŠĩāŠĪāŠū āŠŽāŠūāŠģāŠ•āŦ‹āŠĻāŦ€ āŠœāŦ‡āŠŪ āŠŪāŦ‚āŠ•-āŠŽāŠ§āŠŋāŠ° āŠŽāŠūāŠģāŠ•āŦ‹ āŠŠāŠĢ āŠŠāŦāŠ°āŠ—āŠĪāŠŋ āŠ•āŠ°āŦ€ āŠķāŠ•āŦ‡ āŠ›āŦ‡. āŠĪāŦ‡āŠŪāŠĻāŠū āŠŪāŠĻāŦ‹āŠ­āŠūāŠĩāŦ‹ āŠļāŠūāŠŪāŠūāŠĻāŦāŠŊ āŠĩāŠŋāŠĶāŦāŠŊāŠūāŠ°āŦāŠĨāŦ€ āŠ•āŠ°āŠĪāŠū āŠœāŦāŠĶāŠū āŠđāŦ‹āŠŊ āŠ•āŦ‡ āŠ•āŦ‡āŠŪ ? āŠĪāŦ‡ āŠŪāŠūāŠŸāŦ‡ āŠļāŠ‚āŠķāŦ‹āŠ§āŠ•āŦ‡ āŠļāŠūāŠŪāŠūāŠĻāŦāŠŊ āŠĩāŠŋāŠĶāŦāŠŊāŠūāŠ°āŦāŠĨāŦ€āŠ“ āŠ…āŠĻāŦ‡ āŠŪāŦ‚āŠ•-āŠŽāŠ§āŠŋāŠ° āŠĩāŠŋāŠĶāŦāŠŊāŠūāŠ°āŦāŠĨāŦ€āŠ“āŠĻāŦ‹ āŠĪāŦāŠēāŠĻāŠūāŠĪāŦāŠŪāŠ• āŠ…āŠ­āŦāŠŊāŠūāŠļ āŠ•āŠ°āŠĩāŠūāŠĻāŦāŠ‚ āŠĩāŠŋāŠšāŠūāŠ°āŦ€ āŠŽāŠ‚āŠĻāŦāŠĻāŦ‡ āŠœāŦ‚āŠĨāŠĻāŠū āŠŽāŠūāŠģāŠ•āŦ‹ āŠĩāŠšāŦāŠšāŦ‡āŠĻāŠū āŠ…āŠ‚āŠĪāŠ°āŠĻāŦ‡ āŠ˜āŠŸāŠūāŠĄāŦ€ āŠļāŦ‡āŠĪāŦ āŠŽāŠĻāŠĩāŠū āŠŠāŦāŠ°āŠŊāŠūāŠļ āŠ•āŠ°āŠĩāŠū āŠŠāŦāŠ°āŠŊāŠĪāŦāŠĻ āŠ•āŠ°āŦāŠŊāŦ‹

    Influence of Level 1 and Level 2 Automated Vehicles on Fatal Crashes and Fatal Crash Occurrence

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    Connected and automated vehicles (CAVs) are expected to improve safety by gradually reducing human decisions while driving. However, there are still questions on their effectiveness as we transition from almost 0% CAVs to 100% CAVs with different levels of vehicle autonomy. This research focuses on synthesizing literature and identifying risk factors influencing fatal crashes involving level 1 and level 2 CAVs in the United States. Fatal crashes involving level 0 vehicles—ones that are not connected and automated—were compared to minimize unobserved heterogeneity and randomness associated with the influencing risk factors. The research team used the fatal crash data for the years 2016 to 2019 for the analysis. A partial proportionality odds model is developed using crash, road, and vehicle characteristics as the independent variables and the fatal crash involving a vehicle with a specific level of automation as the dependent variable. The results of this research indicate that level 1 and level 2 CAVs are less likely to be involved in a fatal crash at four-way intersections, on two-way routes with wide medians, at nighttime, and in poor lighting conditions when compared to level 0 vehicles. However, they are more likely than level 0 vehicles to be involved in a fatal crash with pedestrians and bicyclists. Comparative analysis between vehicles with smart features and other vehicles indicated that pedestrian automatic emergency braking (PAEB) and lane-keeping assistance (LKA) improve the safety by reducing possible collision with a pedestrian and roadside departure, respectively. Contrarily, vehicles with other smart features are still highly likely to be involved in fatal crashes. This research adds to the growing body of literature that will identify potential areas for improvement in the safety of vehicular technologies and road geometry

    Comparative Study of Seismic Analysis of Pier Supported on Pile as per IRC:6-2017 and IRC SP:114-2018

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    This paper depicts the study of seismic analysis of reinforced concrete bridge piers as per provisions of Indian Road Congress (IRC) guidelines. Bridges are designed having two main structural elements named – “Superstructure” and “Substructure”. Superstructure consists of deck and supporting girder/truss system below deck. Substructure includes Abutments, Piers, Portals and Foundations. Amongst these, Abutments/Piers are crucial part of bridge. Therefore, as per the seismic design philosophy, it is necessary to study the seismic behaviour of bridge piers. With the advancements in technology and subsequent researches in Infrastructure fields, IRC guidelines are updated and revised time-to-time. Introduction of IRC SP:114-2018 guideline for earthquake forces in bridges is an example of such developments. In this research, seismic analysis of Reinforced Cement Concrete (RCC) bridge pier is carried out as per provisions of prevailing guideline IRC:6-2017. Base shear value of IRC:6-2017 is compared with IRC SP:114-2018 which now supersedes seismic provisions of IRC:6-2017. For analysis, different span lengths of 25 m, 30 m and 36 m are used. To assess the impact of height of piers in earthquake analysis, various pier heights such as 10 m, 20 m and 30 m are assumed. The analysis is carried out as per Elastic Seismic Acceleration Method with consideration of different zones and importance of the bridge as per IRC guidelines. Effect of vertical ground motion is also considered in analysis. From analysis, it is observed that base shear and vertical forces have been increased remarkably as per IRC SP:114-2018 compared to IRC:6-2017
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