Investigating Affordable Indoor Mobile Lidar Sensing For Bim-Based Facility Management: A Usability And Condition Sensitivity Study, Amr Mousa, Ahmed Elyamany, Mohamed Nabawy

Civil Engineering

This paper analyzes how capture parameters affect indoor mobile LiDAR scan fitness for-purpose for BIM-based facilities management. Despite extensive research on geometric accuracy and automated modelling performance, limited work has systematically examined how acquisition conditions influence the practical usability of raw scans for BIM/FM applications. A controlled experimental investigation used an Apple iPhone 16 Pro's integrated LiDAR sensor to capture 36 indoor scans under twelve factorial combinations of scan speed, illumination level, and motion pattern. Each condition was repeated three times. Usability was assessed using several components,Fco a gate-based pass/fail criterion, enclosure geometry, openings, ceiling services, and geometric clarity using …

Application Of Fidic Epc/Turnkey Contract Under The Egyptian Public Works Contracts Law, Ahmed Alhady Dr., Mahmoud Mahmoud Ahmed Eng., Ahmed Elhakeem Prof., Mohamed Ibrahim Dr.

Civil Engineering

This study focuses on the application of FIDIC Conditions of Contract for EPC Turnkey Projects—Silver Book 1999, (FIDIC (EPC&T)), when governed by the Egyptian Law of Contracts concluded by public bodies No. 182 of 2018 (ELC) due to the conflicts that may arise from such application. Hence, this study identifies specific FIDIC (EPC&T) 1999 clauses that have the potential for conflicts with ELC, shows the similarities and disparities between these clauses and the relevant ELC articles, and provides recommendations to ensure the successful application of FIDIC (EPC&T) 1999 under ELC. This was achieved through a multistep research methodology in which …

Assessment Of Traffic Related Air Pollution Effects On Indoor Air Quality In Educational Buildings, Ahmed Gouda Mohamed, Mohamed Sherif Dr., Fahad Alqahtani Dr., Yousif Deeb Eng.

Civil Engineering

This study assesses the impact of traffic-related air pollution (TRAP) on indoor air quality (IAQ) within a Riyadh school. The main objectives are to pinpoint factors influencing IAQ and to evaluate the effectiveness of existing ventilation and filtration systems. Air quality Egg sensors monitored nitrogen dioxide (NO2), carbon monoxide (CO), and particulate matter (PM1.0, PM2.5, PM10) levels both indoors and outdoors over 30 days. Findings revealed average indoor PM2.5 and PM10 concentrations of 14.09 µg/m3 and 18.15 µg/m3, respectively, while outdoor concentrations averaged 20.63 µg/m3 and 27.88 µg/m3. A strong positive correlation was observed between indoor and outdoor PM levels, …

Toward Autonomous Pavement Inspection: An End-To-End Vision-Based Framework For Pci Computation And Robotic Deployment, Nada El Desouky, Ahmed Torky, Mohamed Elbheiri, Mohamed Eid, Mohamed Ibrahim

Civil Engineering

Advancements in robotics and computer vision are transforming how infrastructure is monitored and maintained. This paper presents a novel, fully automated pipeline for pavement condition assessment that integrates real-time image analysis with PCI (Pavement Condition Index) computation, which is specifically designed for deployment on mobile and robotic platforms. Unlike traditional methods that rely on costly equipment or manual input, the proposed system uses deep learning-based object detection and ensemble segmentation to identify and measure multiple types of road distress directly from 2D imagery, including surface weathering, a key precursor to pothole formation often overlooked in previous studies. Depth estimation is …

Integrated Decision Support System For Optimizing Time And Cost Trade Offs In Linear Repetitive Construction Projects, Ahmed Gouda Mohamed

Civil Engineering

time and cost performance. Traditional scheduling techniques often struggle to effectively address these complexities. This paper aims to enhance project optimization by introducing a metaheuristicbased Time-Cost Trade-off (TCT) framework specifically designed for repetitive project environments. Unlike previous studies that focus solely on single-algorithm applications, this research evaluates two metaheuristic optimization strategies—Genetic Algorithm (GA) and Particle Swarm Optimization (PSO)—within a consistent problem setting. The framework employs both algorithms, which are independently assessed for their effectiveness in tackling the Linear Repetitive Project Time-Cost Trade-off (LRPTCT) problem. The methodology utilizes task decomposition alongside the Line of Balance (LOB) scheduling technique, facilitating a more …

Green Building Information Modeling Framework For Sustainable Residential Development In Egypt, Mohamed Ahmed Nabawy Dr., Ahmed Gouda Mohamed, Ahmed Osama Daoud Dr.

Civil Engineering

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Green Building Information Modeling Framework for Sustainable Residential Development in Egypt

by Mohamed Nabawy *, Ahmed Gouda Mohamed , Israa Awad and Ahmed Osama Daoud * Construction Engineering and Management Programme, Civil Engineering Department, Faculty of Engineering, The British University in Egypt (BUE), El Sherouk City, Cairo 11837, Egypt * Authors to whom correspondence should be addressed. Buildings 2025, 15(7), 1035; https://doi.org/10.3390/buildings15071035 Submission received: 20 January 2025 / Revised: 23 February 2025 / Accepted: 27 February 2025 / Published: 24 March 2025 (This article belongs to the Special Issue Building …

Synergizing Gis And Genetic Algorithms To Enhance Road Management And Fund Allocation With A Comprehensive Case Study Approach, Mohamed Nabawy

Civil Engineering

This study identifies a critical knowledge gap, revealing how the deterioration of roads, compounded by extensive usage and additional factors, poses significant risks to the road networks’ functionality. Without a robust fund allocation and prioritization strategy, the extent of this risk may be overlooked, adversely affecting the performance of essential infrastructure elements. Our research introduces an integrated decision-making model for existing road infrastructures to address this gap. This innovative approach combines a Geographic Information System (GIS)-based road management model with a fund allocation prioritization strategy, enhanced by an optimization engine via a genetic algorithm. The primary aim is to precisely …

Synergizing Gis And Genetic Algorithms To Enhance Road Management And Fund Allocation With A Comprehensive Case Study Approach, Mohamed Nabawy

Civil Engineering

This study identifies a critical knowledge gap, revealing how the deterioration of roads, compounded by extensive usage and additional factors, poses significant risks to the road networks’ functionality. Without a robust fund allocation and prioritization strategy, the extent of this risk may be overlooked, adversely affecting the performance of essential infrastructure elements. Our research introduces an integrated decision-making model for existing road infrastructures to address this gap. This innovative approach combines a Geographic Information System (GIS)-based road management model with a fund allocation prioritization strategy, enhanced by an optimization engine via a genetic algorithm. The primary aim is to precisely …

Synergizing Gis And Genetic Algorithms To Enhance Road Management And Fund Allocation With A Comprehensive Case Study Approach, Ahmed Gouda Mohamed

Civil Engineering

This study identifies a critical knowledge gap, revealing how the deterioration of roads, compounded by extensive usage and additional factors, poses significant risks to the road networks’ functionality. Without a robust fund allocation and prioritization strategy, the extent of this risk may be overlooked, adversely affecting the performance of essential infrastructure elements. Our research introduces an integrated decision-making model for existing road infrastructures to address this gap. This innovative approach combines a Geographic Information System (GIS)-based road management model with a fund allocation prioritization strategy, enhanced by an optimization engine via a genetic algorithm. The primary aim is to precisely …

Leveraging Machine Learning For Defect Detection In Irrigation Concrete Canal Lining In Egypt: Advancing Construction Quality And Efficiency, Mohamed Nabawy

Civil Engineering

Abstract:

Defects during the construction phase of projects pose significant challenges, particularly in terms of

safety, cost overruns, delays, and labor inefficiencies. In irrigation concrete canal lining construction

with mega investments, early detection of defects is critical to ensuring quality and project success.

This study explores the application of machine learning (ML) for onsite defect detection, focusing

on the development and deployment of an object detection mobile application specifically tailored

for identifying visible defects in concrete canal lining construction. Leveraging the machine learning

capabilities of Microsoft Azure, a custom object detection model was trained and validated to

recognize defects such …

Assessment Of Employee Risks In Construction Of Megahousing Projects Using Structural Equation Modeling, Mohamed Nabawy

Civil Engineering

One of the most crucial objectives for nations with dense populations worldwide is the construction of mega projects. Egypt's 2030 strategy emphasizes how crucial it is to build MHP in order to accommodate the country's enormous population growth. However, there has been a nighty eight percent delay in the completion of house construction projects due to employees' inadequate training, technology use, and uncertainty management. Enhancing the administrative, technical, and management skills of staff members can prevent delays in Egypt's delivery of sustainable MHP. The aim of this study is to develop an employee management model (ESEM) in order to assess …

Synergizing Bim And Value Engineering In The Construction Of Residential Projects: A Novel Integration Framework, Mohamed Nabawy

Civil Engineering

This study explores integrating Building Information Modeling (BIM) and Value Engineering (VE) to enhance cost management and project value optimization in residential construction. The primary aim is to develop a comprehensive framework that synergizes 5th Dimension Building Information Modeling (5D BIM) with VE processes to identify and evaluate the most cost-effective construction alternatives. Employing a mixed-methods approach, this research includes an extensive review of existing practices, an integrated BIM-VE framework proposal, and the application of 5D BIM principles to improve visualization, cost estimation, and scheduling. The findings reveal that integrating BIM and VE significantly enhances project efficiency, quality, and cost-effectiveness. …

A Hybrid Model For Assessing Safety Implementation And Project Success In The Construction Industry, Aya Hassan, Ali Hassan

Civil Engineering

Construction projects are prone to accidents and injuries, necessitating a focus on implementing safety programs. However, the implementation of such programs is influenced by various factors. Developing countries often have poor safety performance in their building sectors, with limited research in this area. This study aimed to identify essential safety program activities (SPAs) specific to the building sector. Through a literature review and survey, 25 SPAs were identified and validated via a pilot survey involving building sector experts. A questionnaire survey was conducted with 105 participants from the construction industry and academia. They were then categorized into four interconnected measurements …

Synergizing Bim And Value Engineering In The Construction Of Residential Projects: A Novel Integration Framework, Ahmed Gouda Mohamed, Mohamed Ahmed Nabawy Dr

Civil Engineering

This study explores integrating Building Information Modeling (BIM) and Value Engineering (VE) to enhance cost management and project value optimization in residential construction. The primary aim is to develop a comprehensive framework that synergizes 5th Dimension Building Information Modeling (5D BIM) with VE processes to identify and evaluate the most cost-effective construction alternatives. Employing a mixed-methods approach, this research includes an extensive review of existing practices, an integrated BIM-VE framework proposal, and the application of 5D BIM principles to improve visualization, cost estimation, and scheduling. The findings reveal that integrating BIM and VE significantly enhances project efficiency, quality, and cost-effectiveness. …

Integrating Building Information Modelling And Extended Reality In The Transportation Infrastructure Industry, Yosra El Maghraby, Shady Salem, Ahmed Alhady, Yasser Khodeir

Civil Engineering

No abstract provided.

Appraising Critical Success Factors In Sustainable Housing Projects: A Comparative Study Of Ppp Modalities In Saudi Arabia, Ahmed Gouda Mohamed

Civil Engineering

This study examines the critical success factors (CSFs) crucial for the effective deployment of public-private partnership (PPP) models in sustainable housing projects in the Kingdom of Saudi Arabia (KSA), underpinning the nation's Vision 2030. Through a robust methodology that incorporates a profound literature review, structured interviews, and a survey involving key stakeholders, the study prioritizes fourteen significant CSFs integral to PPP efficacy. Employing Analytical Hierarchy Process analysis, key outcomes underscore the paramount importance of technical aspects with an emphasis on sustainability, tailoring risk-sharing and allocation to encompass green technologies and eco-friendly practices, and economic stability in the light of long-term …

Evaluation Of Insurance Policies In The Saudi Arabian Construction Contracts, Ahmed Gouda Mohamed

Civil Engineering

The construction sector is more complicated and prone to risk than many other industries due to the size of the projects and the financial capital involved. Arranging insurance is the prudent course of action for risk management in the construction sector. There is a lack of clarity in insurance policies for public construction projects in the Kingdom of Saudi Arabia (KSA), which poses additional risks to all involved contracting parties. The aim of this research is to evaluate insurance policies in the KSA's public construction projects to identify the key deficiencies and obstacles and provide a road map for improvement …

Scrutinizing The Adoption Of Smart Contracts In The Mena Region’S Construction Industry, Ahmed Gouda Mohamed

Civil Engineering

The construction industry embodies a paramount role in the economic growth of various nations, including the Middle East and North Africa (MENA) region. Despite its significance, the industry faces construction disputes and payment issues, inducing financial losses and project postponements. Consequently, the construction industry has mutated smart contracts to enhance operational efficiency, which automates contract management tasks and offers perks, including transparency and efficiency. However, the adoption of smart contracts in the MENA construction sector remains limited, and the region lacks thorough research on this topic. This study addresses this gap by examining the level of cognizance and apprehension of …

Assessment Framework For Bim-Digital Twin Readiness In The Construction Industry, Aljawharah A. Alnaser, Ali Hassan Ali, Haytham H. Elmousalami, Ahmed Elyamany, Ahmed Gouda Mohamed

Civil Engineering

No abstract provided.

Assessment Framework For Bim-Digital Twin Readiness In The Construction Industry, Ahmed Gouda Mohamed

Civil Engineering

This study introduces a pioneering structural equation modeling (SEM)-based framework to assess BIM-DT adoption readiness in sustainable construction. The research’s approach delves into the intricate correlation between key success factors (KSFs) and sustainable parameters (SPs), fostering BIM-DT deployment. This interdisciplinary perspective provides a holistic understanding of the impact of KSFs on BIM-DT adoption. The research aims to identify KSFs and parameters, prioritize their relative weights for BIM-DT implementation, analyze KSFs and SPs correlations, and offer practical insights into the findings. The results revealed the importance of sustainability considerations in BIM-DT adoption, with cost optimization and resource management playing pivotal roles. …

A Bridge Information Modeling (Brim) Framework For Inspection And Maintenance Intervention In Reinforced Concrete Bridges, Ahmed Gouda Mohamed

Civil Engineering

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A Bridge Information Modeling (BrIM) Framework for Inspection and Maintenance Intervention in Reinforced Concrete Bridges

Risks Assessment In The Construction Of Infrastructure Projects Using Artificial Neural Networks, Mohamed Nabawy

Civil Engineering

Infrastructure Project (IP) construction in Egypt is saddled with copious risks emanating from the manque of risk knowledge, driving these projects to enigmatic failure concerning construction cost. The paper’s novel contribution is to acquaint with an Infrastructure Neural Risk Model (INRM) approach that colossally spotlights the substantial risk factors confronting Egypt’s IP construction apropos to Probability of Occurrence (POO) and Impact on Cost (IOC). Hundred and fifty-seven risk factors were compiled from the literature under three risk categories and reduced to 10, portraying the critical risk influencing the IP construction costs inconsolably. The paper’s main merits include identifying the puritanical …

Risks Assessment Using Structural Equation Modeling: Mega Housing Projects Construction In Egypt, Mohamed Nabawy

Civil Engineering

The Mega Housing Projects (MHP) construction in Egypt is saddled with numerous risks that emerged from the risk knowledge dearth, steering these projects to elusive failure apropos to completion time and construction cost. The research's novel contribution is a risk assessment Structural Equation Modeling (SEM) approach that spotlights the critical risk factors confronting MHP in Egypt concerning Probability of Occurrence (POO), Impact on Time (IOT), and Impact on Cost (IOC), from the contractors’ perspective. Forty-three risk factors were amassed from the literature and lessened to 25, delineating the significant risks impacting the MHP schedule and budget resentfully. The primary paper's …

Analyzing Resource Allocation And Levelling In Construction Projects, Mohamed Eizeldin, Mohamed Hussein Hegazy, Ahmed Alhady, Shahir Ashraf

Civil Engineering

Project scheduling has been crucial in any construction project since applying poor scheduling may lead to cost overruns and delays. The most commonly used technique for scheduling is the critical path method (CPM). As CPM neglects the availability of resources and assumes only time as a constrain; therefore, the resource allocation problem (RAP) technique is introduced. RAP appears when the number of resources required exceeds the number of resources available. Moreover, as a result of solving the RAP, another problem will occur known as the resource leveling problem (RLP). RLP lead to lots of hiring and firing of laborers. Researchers …