Ola A. Abu Ali, M.M. Elsawy and Ahmed A. El-Henawy
The purpose of this study is to develop a new protective coating formulation for industrial use, using new eco-friendly succinimide linseed oil resin.
Abstract
Purpose
The purpose of this study is to develop a new protective coating formulation for industrial use, using new eco-friendly succinimide linseed oil resin.
Design/methodology/approach
Epoxidized linseed oil and N-(4-hydroxy phenyl) succinimide are reacted to create succinimide-modified epoxy (SIE) compounds. The synthesized compound was confirmed by different analyses, gas chromatography, Fourier transform infrared, proton nuclear magnetic resonance and scanning electron microscopy. The prepared compound has been blended with a primer paint formulation, then their physical and mechanical properties have been studied. Density function theory is used to calculate Frontier molecular orbital including highest occupied molecular orbital and least unoccupied molecular orbital to indicate the charge transfer from molecule to biological media and molecular electrostatic potential map was used to indicate the chemically reactive zone suitable for drug action.
Findings
The results of the paint formulation confirmed their best performance and provided good mechanical properties and high chemical and corrosion resistance.
Research limitations/implications
Resin compounds are the most used antimicrobial additives. Other functionalities of these compounds, such as corrosion inhibitors, might be studied to see if they are suited for these applications.
Practical implications
Because of the efficiency of the SIE when incorporated with primer, paint against microbial has also been examined in silico using the docking study which contributed to the analysis of their protein binding. This type of epoxy compound is environmentally friendly and can be used as a biocide with different paint formulations. As a result, paint compositions including this compound as additives can be used as dual-purpose paint and for a variety of industrial applications.
Originality/value
This research demonstrates how a low-cost paint composition based on synthesized SIE compounds may be used as a dual-function paint for industrial use.
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Mahmoud Sabry Shided Keniwe, Ali Hassan Ali, Mostafa Ali Abdelaal, Ahmed Mohamed Yassin, Ahmed Farouk Kineber, Ibrahim Abdel-Rashid Nosier, Ola Diaa El Monayeri and Mohamed Ashraf Elsayad
This study focused on exploring the performance factors (PFs) that impact Infrastructure Sanitation Projects (ISSPs) in the construction sector. The aim was twofold: firstly, to…
Abstract
Purpose
This study focused on exploring the performance factors (PFs) that impact Infrastructure Sanitation Projects (ISSPs) in the construction sector. The aim was twofold: firstly, to identify these crucial PFs and secondly, to develop a robust performance model capable of effectively measuring and assessing the intricate interdependencies and correlations within ISSPs. By achieving these objectives, the study aimed to provide valuable insights into and tools for enhancing the efficiency and effectiveness of sanitation projects in the construction industry.
Design/methodology/approach
To achieve the study's aim, the methodology for identifying the PFs for ISSPs involved several steps: extensive literature review, interviews with Egyptian industry experts, a questionnaire survey targeting industry practitioners and an analysis using the Relative Importance Index (RII), Pareto principle and analytic network process (ANP). The RII ranked factor importance, and Pareto identified the top 20% for ANP, which determined connections and interdependencies among these factors.
Findings
The literature review identified 36 PFs, and an additional 13 were uncovered during interviews. The highest-ranked PF is PF5, while PF19 is the lowest-ranked. Pareto principle selected 11 PFs, representing the top 20% of factors. The ANP model produced an application for measuring ISSP effectiveness, validated through two case studies. Application results were 92.25% and 91.48%, compared to actual results of 95.77% and 97.37%, indicating its effectiveness and accuracy, respectively.
Originality/value
This study addresses a significant knowledge gap by identifying the critical PFs that influence ISSPs within the construction industry. Subsequently, it constructs a novel performance model, resulting in the development of a practical computer application aimed at measuring and evaluating the performance of these projects.
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Solomon Oyebisi, Mahaad Issa Shammas, Reuben Sani, Miracle Olanrewaju Oyewola and Festus Olutoge
The purpose of this paper is to develop a reliable model that would predict the compressive strength of slurry infiltrated fiber concrete (SIFCON) modified with various…
Abstract
Purpose
The purpose of this paper is to develop a reliable model that would predict the compressive strength of slurry infiltrated fiber concrete (SIFCON) modified with various supplementary cementitious materials (SCMs) using artificial intelligence approach.
Design/methodology/approach
This study engaged the artificial intelligence to predict the compressive strength of SIFCON through deep neural networks (DNN), artificial neural networks, linear regression, regression trees, support vector machine, ensemble trees, Gaussian process regression and neural networks (NN). A thorough data set of 387 samples was gathered from relevant studies. Eleven variables (cement, silica fume, fly ash, metakaolin, steel slag, fine aggregates, steel fiber fraction, steel fiber aspect ratio, superplasticizer, water to binder ratio and curing ages) were taken as input to predict the output (compressive strength). The accuracy and reliability of the developed models were assessed using a variety of performance metrics.
Findings
The results showed that the DNN (11-20-20-20-1) predicted the compressive strength of SIFCON better than the other algorithms with R2 and mean square error yielding 95.89% and 8.07. The sensitivity analysis revealed that steel fiber, cement, silica fume, steel fiber aspect ratio and superplasticizer are the most vital variables in estimating the compressive strength of SIFCON. Steel fiber contributed the highest value to the SIFCON’s compressive strength with 16.90% impact.
Originality/value
This is a novel technique in predicting the compressive strength of SIFCON optimized with different SCMs using supervised learning algorithms, improving its quality and performance.
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Ravita Kharb, Charu Shri, Neha Saini and Dinesh Kumar
Green and digital transitions (twin transition) help in achieving climate neutrality, cutting down the pollution level and reviving biodiversity. Organizations can mitigate their…
Abstract
Purpose
Green and digital transitions (twin transition) help in achieving climate neutrality, cutting down the pollution level and reviving biodiversity. Organizations can mitigate their ecological footprint, improve their digital portfolio and fulfil their ethical responsibilities by fostering a sustainable global community and adhering to a well-defined plan. In such backdrop, this study aims to propose strategies by identifying the strengths, weaknesses, opportunities and threats of the twin transition and to categorize and evaluate the internal and external factors for achieving environmental sustainability.
Design/methodology/approach
Following a comprehensive review of the literature, 27 factors have been identified and analyzed using the strengths, weakness, opportunities and threat matrix (SWOT). Threats, opportunities, weakness, strength matrix analysis approach is used to limit risk, overcome weaknesses and take advantage of opportunities. Effective strategies are designed and implemented using strategic planning action and evaluation matrix (SPACE) and quantitative strategic planning (QSPM) approach.
Findings
The study found that aggressive strategies considering economic strength and global opportunities must be used to accomplish green growth objectives. Out of three strategies, the focus on green technological innovation by taking advantage of financial mechanisms at the international level is highly recommended to achieve environmental sustainability.
Research limitations/implications
Through promoting green and digital transformation, the current study provides insightful policy recommendations for economic development. It may help to improve operational efficacy and to obtain a competitive edge by successfully limiting their adverse environmental effects in the global market through the implementation of twin transition. The process of developing a strategy aids stakeholders, including society, workers and other parties, in giving environmental sustainability a top priority while making financial decisions.
Social implications
Strategy development helps society, employees and all the other stakeholders to prioritize their green and digital transition decisions for environmental sustainability.
Originality/value
The current study identifies the factors formulating strategies using SWOT, TOWS, SPACE and QSPM matrix analysis for achieving environmental sustainability in the pervasive twin transition.
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Aliyyu Abiola Abdulraheem, Agboola Shamsudeen Abdulazeez, Abdulkabir Opeyemi Bello, Mustapha Yusuf Faruq, Abdulhakeem Kolawole Musa and Moshood Olawale Shabi
This study aims to explore the factors influencing the quality of project delivery in the Nigerian construction industry, addressing a critical gap in the existing literature and…
Abstract
Purpose
This study aims to explore the factors influencing the quality of project delivery in the Nigerian construction industry, addressing a critical gap in the existing literature and providing insights for improving construction practices in Nigeria.
Design/methodology/approach
A mixed-methods approach was employed, combining quantitative analysis of survey data with qualitative insights from semi-structured interviews. The survey gathered data on various factors affecting project quality, while interviews provided contextual understanding and nuanced perspectives from industry professionals.
Findings
This study identifies seven key factors influencing project delivery quality: contractor performance (β = 0.235, p < 0.001), design and materials management (β = 0.180, p < 0.001), documentation and procurement (β = 0.175, p < 0.001), workforce management and skills (β = 0.142, p < 0.001), project management practices (β = 0.153, p < 0.001), budget and financial management (β = 0.139, p < 0.001) and government regulations (β = 0.080, p < 0.001). Contractor performance and design/materials management have the most significant impact, underscoring the need for strong contractor supervision, material standards and efficient design processes. Additionally, effective documentation and procurement are crucial for success, with procurement inefficiencies leading to delays and reduced quality. Workforce competencies also play a major role, as inadequate training and a lack of skilled labour result in construction defects and compromised project outcomes.
Research limitations/implications
Limitations of the study include its focus primarily on industry professionals' perspectives and its limited scope to the Nigerian context. Future research could explore additional stakeholder perspectives and extend the study to other geographical contexts.
Practical implications
The findings offer valuable insights for construction professionals, policymakers, and other stakeholders, informing the development of a tailored approach to enhance quality project delivery in Nigeria. By addressing critical factors identified in the study, stakeholders can mitigate risks, improve project outcomes and contribute to the sustainable development of the construction industry.
Originality/value
This study contributes to the existing literature by comprehensively analysing the factors influencing quality project delivery in the Nigerian construction industry. Integrating quantitative and qualitative data provides a nuanced understanding of the challenges and opportunities inherent in ensuring project quality, offering practical implications for industry practitioners and policymakers.