Experimental studies in Ultrasonic Pulse Velocity of roller compacted concrete pavement containing fly ash and M-sand

AbstractThis paper presents the experimental investigation results of Ultrasonic Pulse Velocity (UPV) tests conducted on roller compacted concrete pavement (RCCP) material containing Class F fly ash of as mineral admixture. River sand, M-sand and combination of M-sand and River sand are used as fine aggregate in this experimental work. Three types of fly ash roller compacted concrete mixes are prepared using above three types of fine aggregates and they are designated as Series A (River sand), Series B (manufactured sand) and Series C (combination of River sand and M-sand). In each series the fly ash content in place of cement is varied from 0% to 60%. In each series and for different ages of curing (i.e 3, 7, 28 and 90days) forty two cube specimens are cast and tested for compressive strength and UPV. The UPV results of fly ash containing roller compacted concrete pavement (FRCCP) show lower values at all ages from 3days to 90days in comparison with control mix concrete (0% fly ash) in all mixes. However, it is also observed that Series B and C mixes containing fly ash show better results in UPV values, compressive strength and Dynamic Elastic Modulus in comparison to Series A mixes with fly ash. Relationships between compressive strength of FRCCP and UPV and Dynamic Elastic Modulus are proposed for all series mixes. A new empirical equation is proposed to determine the Dynamic Elastic Modulus of FRCCP

InSatDb: a microsatellite database of fully sequenced insect genomes

InSatDb presents an interactive interface to query information regarding microsatellite characteristics per se of five fully sequenced insect genomes (fruit-fly, honeybee, malarial mosquito, red-flour beetle and silkworm). InSatDb allows users to obtain microsatellites annotated with size (in base pairs and repeat units); genomic location (exon, intron, up-stream or transposon); nature (perfect or imperfect); and sequence composition (repeat motif and GC%). One can access microsatellite cluster (compound repeats) information and a list of microsatellites with conserved flanking sequences (microsatellite family or paralogs). InSatDb is complete with the insects information, web links to find details, methodology and a tutorial. A separate ‘Analysis’ section illustrates the comparative genomic analysis that can be carried out using the output. InSatDb is available at

The Optimization of Mix Proportion of Hot Mix Asphalt for Sustainable Flexible Pavements: Experimental Study and Grey Taguchi Relational Analysis

Most of the Indian black topped roads have been damaged due to adverse weather and heavy load distresses. Many researchers have focused on improving durability of Hot Mix Asphalt (HMA) pavements. The factors influencing durability of HMA are Binder content, Combined aggregate gradation, type of Filler and addition of Fiber. In order to optimize the combination of variables used in HMA mix design, Grey relational analysis by using Taguchi technique is used, where many parameters can be analyzed at a time with more accuracy. Multiple performance measurements like Stability, Flow, Bulk specific gravity of the mix (Gmb), Theoretical maximum specific gravity of the mix (Gmm), Voids in Mineral Aggregate (VMA), Air voids (Va) and Voids Filled with Bitumen (VFB) are considered. Bituminous Concrete (BC) mix was optimized using L9 Orthogonal array considering four parameters such as Fiber content, Filler combination, Binder content and Combined Aggregate Gradation, with three levels having seven performance measurements. The most significant parameter and percent contribution of each parameter of BC mix are analyzed by Analysis of Variance (ANOVA) using Grey Taguchi technique. The analysis was done by considering two Gradation conditions (Coarse gradation and Fine gradation) based on voids in mix. From the analysis, it can be concluded that all parameters are significant except bitumen content for optimizing BC mix

FATIGUE AND FRACTURE IN PAVEMENT

This paper we present what is fatigue ?and what is fracture? we will discuse on design aspects related to fatigue failure, an important mode of failure in engineering components. Fatigue failure results mainly due to variable loading or more precisely due to cyclic variations in the applied loading . A fatigue failure begins with a small crack; the initial crack may be so minute and can not be detected. The crack usually develops at a point of localized stress concentration like discontinuity in the material, such as a change in cross section, a keyway or a hole.for design pavement flexible or regid pavement cycle life or how many percentage of material damaged.one parameter of design in all branch of engineering is standard of test of fatigue and fracture.for example in pavement number of axles ,number of tires ,thickness of pavement ,kind of Load is effect on fatigue and fracture

An application of Bat algorithm

The trend of increasing demand creates a gap between generation and load in the field of electrical power systems. This is one of the significant problems for the science, where it require to add new generating units or use of novel automation technology for the better utilization of the existing generating units. The automation technology highly recommends the use of speedy and effective algorithms in optimal parameter adjustment for the system components. So newly developed nature inspired Bat Algorithm (BA) applied to discover the control parameters. In this scenario, this paper considers the minimization of real power generation cost with emission as an objective. Further, to improve the power system performance and reduction in the emission, two of the thermal plants were replaced with wind power plants. And also to boost the voltage profile, Static VAR Compensator (SVC) has been integrated. The proposed case study, i.e., considering wind plant and SVC with BA, is applied on the IEEE30 bus system. Due to the incorporation of wind plants into the system, the emission output is reduced, and with the application of SVC voltage profile improved

Correlation of CORADS scoring with Psychiatric Co-morbidities in acute phase of COVID infection: A cross—sectional study

Background: There is a mutual relationship between COVID infection and mental illness. There is increase in the overall prevalence of psychiatric conditions in this pandemic. Yet, there is dearth in the literature on the relation between psychiatric morbidity and severity of COVID (assessed by CORADS score). Hence, we aimed to assess the various psychiatric conditions seen in the COVID patients, and the association of various factors with the CORADS severity score. Materials and Methods: It is a cross-sectional observational study conducted in stable COVID patients who were admitted in the hospital and are referred to psychiatric department for consultation during February, 2021 to April, 2021. After confirmation of COVID-19 through RTPCR, HRCT was done for CORADS scoring and a detail neuropsychological evaluation was conducted in these patients. Results: Among 100 responses, 67 patients were analyzed in detail. On Kruskal Wallis test, there was statistically significant association between CORADS score and age of the individual, history of personality traits and anxiety (p-value 0.001, 0.049 & 0.040 respectively). Around 43% of the sample were diagnosed with organic mood disorders, following with anxiety distress and cognitive disorders were more prevalent. Age -wise distribution of sample shows that anxiety was more seen in the individuals above 30 years of age. Conclusion: With the background of the upcoming mental health pandemic post COVID, it is the duty of the treating doctor to screen a patient diagnosed with COVID for comorbid psychiatric illnesses. This will help the patients to alleviate the symptoms and improve their functional outcome