Structural System Prediction Model Based On Cost – Time – Quality Analysis

Volume 7 Issue 1 March - May 2018

Research Paper

Structural System Prediction Model Based On Cost – Time – Quality Analysis

R. Shreenidhi*, Pratul N. Nema**, P. Sathishkumar***, B. S. Shashank****, B. L. Shivakumar*****

*-*** Department of Civil Engineering, Visvesvaraya Technological University, Belgaum, Karnataka, India.

**** Assistant Professor, Department of Civil Engineering, R.V. College of Engineering, Bengaluru, India.

***** Professor and Former Dean, R.V. College of Engineering, Bengaluru, India.

Shreenidhi, R., Nema, P.N., Sathishkumar, P., Shashank. B.S., and Shivakumar, B.L. (2018). Structural System Prediction Model Based on Cost - Time - Quality Analysis. i-manager’s Journal on Structural Engineering, 7(1), 41-47. https://doi.org/10.26634/jste.7.1.14282

Abstract

In present scenario, most building systems are decided on the basis of experience and preferences of Architects and Structural consultants, but seldom are the Project Management aspects considered. Even when they are considered, it is not done in a systematic manner. Because of this it quite often happens that in the middle of the project there are drastic changes in the building systems adopted, which have implications with time, cost, quality, or all of them. There is a general lack of awareness in industries about the different structural systems available and the knowledge about their reliability in the industry. In this work, the construction management methodologies of various building systems, such as Column beam slab, Post Tensioned slab, Reinforced Concrete Wall, and Flat slab were studied. The authors compared the different systems with respect to parameters like suitability, cost, duration, and quality. The authors have generated a prediction model to identify the suitable building system considering the constraints given by the client. From the overall study, Resource-Cost- Duration analysis of a project is carried out and other parameters are optimized when one parameter becomes a constraint, for efficient construction management.