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Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

Civil and Environmental Engineering

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Edith Cowan University

2022

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Articles 1 - 2 of 2

Full-Text Articles in Engineering

Design, Development, And Characterization Of Highly Efficient Colored Photovoltaic Module For Sustainable Buildings Applications, Mohammad Khairul Basher, Mohammad Nur-E-Alam, Momtazur Rahman, Steven Hinckley, Kamal Alameh Apr 2022

Design, Development, And Characterization Of Highly Efficient Colored Photovoltaic Module For Sustainable Buildings Applications, Mohammad Khairul Basher, Mohammad Nur-E-Alam, Momtazur Rahman, Steven Hinckley, Kamal Alameh

Research outputs 2022 to 2026

The building integrated photovoltaic (BIPV) system is one of the contributors which has enormous potential to reach the goal of net-zero energy buildings (NZEB) that significantly reduce the use of fossil fuels that contribute to global warming. However, the limitations of the visual and aesthetic appearance of current BIPV systems make this aspiration unlikely. This study investigates the limitations of the single-color-based PV modules that are dull in appearance and have low photo-conversion efficiency (PCE). In order to solve this issue, we designed, developed, and characterized micro-patterned-based multicolored photovoltaic (MPCPV) modules which are applicable to net-zero building and development. Our …


An Intelligent Approach For Predicting The Strength Of Geosynthetic-Reinforced Subgrade Soil, Muhammad Nouman Amjad Raja, Sanjay K. Shukla, Muhammad Umer Arif Khan Jan 2022

An Intelligent Approach For Predicting The Strength Of Geosynthetic-Reinforced Subgrade Soil, Muhammad Nouman Amjad Raja, Sanjay K. Shukla, Muhammad Umer Arif Khan

Research outputs 2014 to 2021

In the recent times, the use of geosynthetic-reinforced soil (GRS) technology has become popular for constructing safe and sustainable pavement structures. The strength of the subgrade soil is routinely assessed in terms of its California bearing ratio (CBR). However, in the past, no effort was made to develop a method for evaluating the CBR of the reinforced subgrade soil. The main aim of this paper is to explore and appraise the competency of the several intelligent models such as artificial neural network (ANN), least median of squares regression, Gaussian processes regression, elastic net regularisation regression, lazy K-star, M-5 model …