Bindusara Ts

Bindusara Ts
Assistant Professor, Structural Engineer
Bangalore, Karnataka, India
Civil Engineering, Indian Politics, Geography +22

Profile Snapshot

Bindusara is based out of Bangalore & has studied CE-Civil Engineering, BE BTech-Bachelor of Engineering or Technology from Year 2011-2014 in MCE-Malnad College of Engineering, Visveswaraiah Technological University.

Bindusara Ts is Skilled in Civil Engineering, Indian Politics, Geography and other talents.

About

Hi! My name is Bindusara . I’m 26 and I live in Hyderabad. Actually I come from another city - Hassa

Talents

- Autocad
  
  yRank In Bangalore
  
  yRank In Bangalore
- » Compliment
  
  Global yRank
  
  82.18 %
  yTest
  82.18
- Civil Engineering
  
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  yRank In Bangalore
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  Global yRank
  
  97.64 %
  yTest
  
  50
  Discussion
  97.64
  
  50
- Diploma Engineer
  
  yRank In Bangalore
  
  yRank In Bangalore
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  Global yRank
- Geography
  
  yRank In Bangalore
  
  yRank In Bangalore
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  Global yRank
  
  84.31 %
  yTest
  84.31

Complete Talent Profile »

Work Experience

Assistant Professor

Sreenidhi Institute of Science and Technolgy

Full Time Feb-2017 To present 8 years 2 months

» 4 Projects

A Study on Mechanical Properties of Symmetrical and Asymmetrical Woven Jute Fiber Composite Polymer

Assistant Professor at Sreenidhi Institute of Science and Technolgy

Aug-2017 to Jul-2018

Abstract: Practice of biodegradable composites increase the attraction due to its lightweight and adequate strength. These plant fiber reinforced composites have captured the attention in construction and automotive industries. Jute fiber is one of the most affordable natural fibers obtained from the genus corchorus plant. In the present article woven jute fiber reinforced polymer composites are analysed to achieve the optimum layers and orientation of fibers for their peak mechanical properties. This study deals with the analysis of symmetrical and asymmetrical woven jute fiber reinforced polymers composite. Different types of composite test coupons are prepared based on number of layers and orientation of fibers like 0°, 15°, 30°, 45°, 60°, 75° & 90°. Polyester resin and Methyl Ethyl Ketone Peroxide is used as a matrix and catalyst respectively. Tensile and flexural strength properties are studied as per respective ASTM norms. The woven jute fiber composites with different

A Study on Mechanical Properties of Steel Fiber Reinforced Concrete with Magnetite Ore as a Mineral Admixture

Jun-2017 to Dec-2017

Concrete is the furthermost eagerly used construction material and has numerous required properties like high compressive strength, stiffness and durable under usual environmental factors. This paper present an experimental study dealing with the behavior of Compressive Strength, Split Tensile strength and Flexural Strength of concrete using steel fiber as a reinforcing material and magnetite ore as a mineral admixture. The concrete cubes, cylinders and unreinforced beams were casted with different percentages of Steel fiber (0.5%, 1.0%, 1.5%, 2%, 2.5%, and 3%) are added by volume of concrete and Magnetite ore (5%, 7.5%, 10%, 12.5%, 15%, and 17.5%) are added by weight of cement. These casted specimens were cured for different period (7, 14, &28 days) as per relevant Indian standard codes. Mechanical properties such as compression split tensile and bending tests were conducted on hardened concrete specimen and results were tabulated. The test results indicate that addition of steel fibe

Optimum Design of Isolated RCC footing using soft computing Technique

Student at MCE-Malnad College of Engineering

Jun-2015 to Mar-2016

Manual design of isolated RCC footing is a very tedious job. It demands experienced knowledge of reinforced cement concrete behavior under axial load and bending moment. A less experienced (new) engineer feel complex to analyze and design the isolated RCC footing under various types of load. Even though, check for safety against one-way shear, two-way shear, flexure failure, bending stress and development length is another difficult task. To minimize all the above mentioned complexity, soft computing technique like artificial neural network approach is adopted. Initially, optimized results of different set of input parameters are generated manually! Here, column size, axial load, safe bearing capacity of soil, characteristic compressive strength of concrete, yield strength of steel reinforcement are used as a input parameters. And depth, breadth, length, percentage of steel reinforcement is used as output parameters. Feed forward, supervised, single layered Artificial Neural Network is

Analysis of Steel Truss Member and a Parametric Study Using Spread Sheet

Student at MCE-Malnad College of Engineering

Jun-2013 to Mar-2014

The structural steel truss is making it possible for designers to recognize explicitly structural resistant provided with in the elastic and inelastic ranges of behavior and up to the maximum load limit state. There is an increase in awareness of the need for practical second order analysis approaches for a direct determination of strength of the steel truss members. This projects attempts to present a simple and reasonable comprehensive introduction to sum of the theoretical and practical approaches which has been used in traditional and modern process of finding the safe load for steel truss member. The project is supposed to be useful in the field work where this user friendly table, read the safe load carrying capacity of different Angle section in both tension and compression, of equal and unequal, single and double, bolted and welded connection. Hence it is required to design a angle section for a particular load, this table can be used to get the safe load of that respective ang

Education

Bachelor of Engineering or Technology

Malnad College of EngineeringVisveswaraiah Technological University

2011-2014 Score86%

Master of Engineering or Technology

Malnad College of EngineeringVisvesvaraya Technological University

2011-2014

yKnown

Profile Snapshot

Bindusara Ts is Skilled in Civil Engineering, Indian Politics, Geography and other talents.