Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Civil Engineering Journal Indonesian Journal of Law and Society
Alam, Khurshid
Unknown Affiliation
Civil Engineering, Building, Construction & Architecture Law, Crime, Criminology & Criminal Justice Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Revisiting the Customs Act 1969 in line with WCO’s International Convention on the Simplification and Harmonization of Customs Procedures 1974 Islam, Mohammad Towhidul; Alam, Khurshid
Indonesian Journal of Law and Society Vol 4 No 1 (2023): International Business and Crimes in Modern Society
Publisher : Faculty of Law, University of Jember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/ijls.v4i1.29096

Abstract

In the present-day system of integrated world economy, the administration of customs or customs procedure clearly carries considerable effects on the trade transactions both within the border and beyond. In fact, the gravity of the cross-border business potentials leads to the realization of simplifying and harmonizing the customs procedures all over the world. Moreover, the development and operation of the modern customs administration signifies, by and large, a radical shift from the revenue collection to the trade facilitation focus. In the current day, it has become almost a universal belief that trade facilitation and removal of trade barriers go hand in hand with simplification and harmonization of customs procedures. The World Customs Organization (WCO) with this in mind had the Revised Kyoto Convention (RKC) enacted in 1974. The customs regime of Bangladesh is still dependant on the half century old the Customs Act, 1969. Although some changes have been brought to bring it in line with the RKC, many of its provisions are still the same. This creates an impediment towards trade facilitation and economic growth. This paper discusses the differences between the provisions of RKC and Customs Act, 1969 and recommends the changes that are required to be brought in the customs regime of Bangladesh for overall trade facilitation and economic development of the country.
Stress Concentration Factors in Tubular T-Joint Braces Under Compressive Loads Using Artificial Neural Networks Rasul, Adnan; Karuppanan, Saravanan; Perumal, Veeradasan; Ovinis, Mark; Iqbal, Muhammad; Badshah, Saeed; Alam, Khurshid
Civil Engineering Journal Vol. 11 No. 6 (2025): June
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-06-013

Abstract

Stress concentration factors (SCFs) are often calculated using formulas based on experimental testing and finite element analysis (FEA). While maximum SCF could occur at any location along the brace axis of the tubular T-joint’s brace, only the SCFs at the crown and saddle points can be determined from the available formulae, which can result in imprecise fatigue life determination. The current study presents a methodology to determine the SCFs in T-joints using FEA and ANN. ANNs are more effective than conventional data-fitting techniques at modelling intricate phenomena. In this work, parametric equations to estimate the SCFs of the T-joint’s brace under compressive loading were developed. Utilizing parametric equations allows for rapid estimates of SCFs, in contrast to time-consuming FEA and expensive testing. The equations are based on an artificial neural network’s training weights and biases (ANN). 625 finite element simulations were performed on tubular T-joints with various dimensions under compressive loads to determine the SCFs at the brace of the T-joint. These SCFs were then used to train an ANN. The weights and biases of the ANN were subsequently used to derive equations for calculating SCFs based on dimensionless parameters. The equations can estimate the SCF of a T-joint brace with less than 7% error and a root mean square error (RMSE) of less than 0.19.
Co-Authors Badshah, Saeed Islam, Mohammad Towhidul Karuppanan, Saravanan Muhammad Iqbal Ovinis, Mark Perumal, Veeradasan Rasul, Adnan