Strength Characteristics of Concrete with Indian Mettakaolin and Rice Husk Ash

 Concrete is the most extensively used construction material around the world and its properties have been undergoing changes through technological advancements. Varieties of concrete have been developed to enhance the different properties of concrete. An investigation in to the potential use of partial replacement of mineral admixture in high performance concrete (HPC) has carried out. The engineering properties of fresh and hardenedconcrete are obtained by conducting test on slump, vee-bee, compaction factor and compressive strength, flexural strength, spilt tensile strength and modulus of elasticity, in this project partial replacement of cement bymetakaolin and rice husk ash been used for varying replacement of 0+0%, 5+105, 7.5+10%,10+10%,5+12.5%, 10+12.5%, 5+15%, 7.5+15%,  and 10+15%for high strength, workability and also an eco-friendly by less emission of co2. It has been concluded that strength development of concrete blended with metakaolin and rice hush ash was enhanced. It was found that in 7.5% replacement of metakaolin and 12.5% replacement of rice husk ash appear to be the optimum replacement which exhibited more strength. This investigation has proved that the MK and RHA concrete can be used as structural concrete at suitable replacement percentage.Â

Experimental and Statistical Study of Flexural Strength in Concrete using Novel Kaolinite Coal

The purpose of this research is to measure the flexural strength of both traditional and newly modified concrete beams with kaolinite coal added. Two sets of eighteen samples each were ready for the data collection. Two sets of specimensare prepared: 18 specimens of one set using modified concrete that has been treated with kaolinite coal, and the other set of 18 specimens using traditional concrete beams. The preparation and examination of the samples involved the use of flexural strength test equipment. The beam specimen size was taken as 100 x 100 x 500mm. The SPSS software version 29 has been utilized to conduct the independent sample T-test. The statistical analysis included Levene's test for equality of variances and a t-test for equality of means to assess the flexural strength of two groups. Levene's test revealed a significant difference in variances between the groups (F=2.909, p=0.097). Subsequently, the t-test assuming equal variances indicated a highly significant difference in means (t=-16.954, df=34, p=0.000). The mean difference in flexural strength was -1.43578, with a standard error of 0.08469 and a 95% confidence interval ranging from -1.60788 to -1.26367. The t-test assuming unequal variances corroborated the significant difference in means (t=-16.954, df=29.822, p=0.000), with a consistent mean difference and confidence interval. The modified concrete beam sample with kaolinite coal added has a mean flexural strength of 4.75 N/mm2, while the standard concrete beam sample has a mean flexural strength of 2.73 N/mm2

Landslide modelling and susceptibility assessment by soil moisture sensors at Katteri watershed in Southern India

The goal of this investigation is to identify how disastrous occurrences affect the soil in watersheds. As a result, the focus of this investigation is the Katteri watershed in the Indian state of Tamil Nadu's Ootacamund region. The process was examined in the field and the lab using GIS advances and remote sensing. The momentum analysis was started in the Katteri watershed by creating several thematic guides using enrolment maps made with GIS technology that was appropriate for the request. Since most large-scale experiments could not have been conducted in the field, landslide movement at various slopes and precipitation levels was investigated using a lab model of a landslide zone. According to the investigation, more steep inclines with deeper soil are more likely to experience landslides, and precipitation is the primary trigger for these events. The model successfully implemented the use of Soil Moisture Sensors (SMS) as a landslide alarm structure. Avalanche or Landslide Alarm Mechanism may therefore be a useful technique for handling disastrous circumstances

Experimental and Statistical Study of Flexural Strength in Concrete using Novel Kaolinite Coal

The purpose of this research is to measure the flexural strength of both traditional and newly modified concrete beams with kaolinite coal added. Two sets of eighteen samples each were ready for the data collection. Two sets of specimensare prepared: 18 specimens of one set using modified concrete that has been treated with kaolinite coal, and the other set of 18 specimens using traditional concrete beams. The preparation and examination of the samples involved the use of flexural strength test equipment. The beam specimen size was taken as 100 x 100 x 500mm. The SPSS software version 29 has been utilized to conduct the independent sample T-test. The statistical analysis included Levene’s test for equality of variances and a t-test for equality of means to assess the flexural strength of two groups. Levene's test revealed a significant difference in variances between the groups (F=2.909, p=0.097). Subsequently, the t-test assuming equal variances indicated a highly significant difference in means (t=-16.954, df=34, p=0.000). The mean difference in flexural strength was -1.43578, with a standard error of 0.08469 and a 95% confidence interval ranging from -1.60788 to -1.26367. The t-test assuming unequal variances corroborated the significant difference in means (t=-16.954, df=29.822, p=0.000), with a consistent mean difference and confidence interval. The modified concrete beam sample with kaolinite coal added has a mean flexural strength of 4.75 N/mm2, while the standard concrete beam sample has a mean flexural strength of 2.73 N/mm2