American
International
University-
Bangladesh

Students & Supervisors

Abstract

Bangladesh is a developing country and its industrial progress and infrastructure give rise to numerous complex engineering and physical problems such as flood forecasting, river flow simulation, cyclone storm surge modeling, Dhaka traffic congestion modeling, earthquake response of old buildings in Dhaka, groundwater depletion & salinity intrusion, bridge and embankment stability analysis and air quality prediction. Analytical solutions do not work quite well with these kinds of situations. Therefore, it has to heavily depend on the advanced numerical computational methods for solving complex engineering and physical problems. This research critically evaluates the pattern of numerical method accuracy with engineering problem solved in Bangladesh from the National Engineering and Computational Archives in the period of 1995-2024. During this time, accuracy varied from 45.32 pct to 986.68 pct while the number of solved problems climbed from 45.32 to peak of 999.58 with noticeable fluctuations due to computational resource constraints. Examination describes that the trend of problem-solving capacity has been increasing but its dependency on numerical method accuracy is decreasing due to enhanced high performance computing infrastructure, better algorithm, parallel processing technologies and more. A second correlation study would therefore demonstrate that there is a weak connection between accuracy and output-that while the precision remains important, especially in safety-critical projects, National Computational ecosystem is becoming less dependent on it. This demonstrates development toward a more flexible engineering sector driven by planned investment in digital infrastructure along with the innovation that allows the adaptability in a rapid changing technological ecosystem. The research shows the combination of strong computational models, enhanced algorithmic upgrades and forward-heading policy initiatives can help to make engineering problem solving more sensible and sustainable. This initiative includes important insight for the planners and policymakers who are concerned with increasing technological self-sustenance and engineering resilience among global digital transformation, through an evaluation of how the past link between numerical method accuracy and problem-solving productivity has developed over time.

Keywords

Publication Details

• Type of Publication:
• Conference Name: 1st International Conference On Multidisciplinary Research in Sciences (ICMRS-2026)
• Date of Conference: 09/01/2026 - 09/01/2026
• Venue: Comilla University, Cumilla-3506, Bangladesh
• Organizer: Comilla University