Vol. 2, Issue 5 (2015)
Matrix Representation and Data Compression for Structural Members under Bending Stress
Author(s): Roopesh Dhara, Aditya Khakolia, Abhishek Verma, Kunal Dhadse
Abstract: Modern methods for solving problems of structural analysis uses matrix representation of various structural and dimensional properties of structural members. Currently adopted algorithms for solving these matrix is purely based on modern methods and few on classical methods. Proposed concept holds methods to use purely classical methods for new type of matrix representation of data in highly efficient and compressed form. Using classical equations like Macaulayâ€™s equation and methods of numerical mathematics, the whole information of a structural members needs to be stored in very low offset input values and saving the data base to evaluate future required values using interpolation. Proposed method uses the classical methods to compress the standard equations derived from Macaulayâ€™s Double Differential equation and represent it in compressed matrix form. Future software can be developed using these algorithms and input matrix for fast and efficient calculations.