|
|
|
C. Veena, S Saravanan , Robin Davis P., Nandakumar Gopalan
|
|
|
|
|
|
|
Mohsin Iqbal, Saravanan Karuppanan, Veeradasan Perumal, Mark Ovinis and Adnan Rasul
Exposure to load and offshore environment degrades the load-bearing capacity of tubular joints, necessitating reinforcement of these joints. Reinforcement is sometimes required for lifespan enhancement or qualification based on new requirements. Availabl...
ver más
|
|
|
|
|
|
|
Subbarayan Saravanan, Devanantham Abijith, Parthasarathy Kulithalai Shiyam Sundar, Nagireddy Masthan Reddy, Hussein Almohamad, Ahmed Abdullah Al Dughairi, Motrih Al-Mutiry and Hazem Ghassan Abdo
A tropical cyclone is a significant natural phenomenon that results in substantial socio-economic and environmental damage. These catastrophes impact millions of people every year, with those who live close to coastal areas being particularly affected. W...
ver más
|
|
|
|
|
|
|
Suria Devi Vijaya Kumar, Michael Lo, Saravanan Karuppanan and Mark Ovinis
Conventional pipeline failure pressure assessment codes do not allow for failure pressure prediction of interacting defects subjected to combined loadings. Alternatively, numerical approaches may be used; however, they are computationally expensive. In t...
ver más
|
|
|
|
|
|
|
Michael Lo, Saravanan Karuppanan and Mark Ovinis
Most of the standards available for the assessment of the failure pressure of corroded pipelines are limited in their ability to assess complex loadings, and their estimations are conservative. To overcome this research gap, this study employed an artifi...
ver más
|
|
|
|
|
|
|
Saravanan Sagadevan, Nurul Hashimah Ahamed Hassain Malim and Mohd Heikal Husin
There is a growing interest in topic modeling to decipher the valuable information embedded in natural texts. However, there are no studies training an unsupervised model to automatically categorize the social networks (SN) messages according to personal...
ver más
|
|
|
|
|
|
|
Michael Lo, Suria Devi Vijaya Kumar, Saravanan Karuppanan and Mark Ovinis
Numerical methods such as finite element analysis (FEA) can accurately predict remaining strength, with strong correlation with actual burst tests. However, parametric studies with FEA are time and computationally intensive. Alternatively, an artificial ...
ver más
|
|
|
|
|
|
|
Michael Lo, Saravanan Karuppanan and Mark Ovinis
Machine learning tools are increasingly adopted in various industries because of their excellent predictive capability, with high precision and high accuracy. In this work, analytical equations to predict the failure pressure of a corroded pipeline with ...
ver más
|
|
|
|
|
|
|
R. Bharathesree, R. Saravanan, M. Jeyakumar, N. Murali
Pág. Page:97 - 102Abstrac
|
|
|
|
|
|
|
Daisy Mui Hung Kee,Tiveeya Sri Saravanan,Sharnitra Sridaran,Syazwina Syahrin,Tulasii Rajandran,Jiale Tian,Huayan Zhang
Pág. 74 - 85
This paper investigates Panasonic's strategies for its better competitive edge through environmental sustainability. The study analyzed the data collected from the company's websites, customers' personal experiences, and questionnaires. The surveys on cu...
ver más
|
|
|
|