Tarek Zayed
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View article: Rainfall-Induced Landslide Prediction Models, Part I: Empirical–Statistical and Physically Based Causative Thresholds
Rainfall-Induced Landslide Prediction Models, Part I: Empirical–Statistical and Physically Based Causative Thresholds Open
Introduction and Problem Statement: Landslides represent a significant geological hazard worldwide. One of the primary triggers for these landslides is rainfall, which is becoming more intense as a result of climate change. The available l…
View article: A Comprehensive Model for Lean Construction Practices for Sustainable Megaproject Delivery
A Comprehensive Model for Lean Construction Practices for Sustainable Megaproject Delivery Open
Megaprojects, characterized by immense scale and complexity, frequently suffer from inefficiencies, cost overruns, and delays. Lean Construction (LC) offers a strategic solution to enhance efficiency and sustainability, yet its adoption la…
View article: A hybrid review of sewer inspection tools and automated CCTV image analysis techniques
A hybrid review of sewer inspection tools and automated CCTV image analysis techniques Open
Maintaining the integrity of sewage networks is crucial for sustainable urban development. Despite extensive research on inspection tools, machine learning applications, and condition assessment for sewer defects, a holistic review of thes…
View article: Enhancing sustainable urban mobility: Computer vision applications in pedestrian path studies
Enhancing sustainable urban mobility: Computer vision applications in pedestrian path studies Open
Smart cities and decarbonization of the transportation sector provoked significant environmental policy reforms, shifting the urban environment away from car-centric planning to non-mechanized transportation. Thus, walking and cycling beca…
View article: Survival analysis framework for sewer failure time: evidence from Hong Kong
Survival analysis framework for sewer failure time: evidence from Hong Kong Open
Sewer systems play a crucial role in protecting public health and mitigating flood risk. This study proposes a framework that integrates survival analysis and spatial data management to predict sewer failure time. Taking Hong Kong as an ev…
View article: Emerging Digitalization in Property/Facility Management: A State-of-the-Art Review and Future Directions
Emerging Digitalization in Property/Facility Management: A State-of-the-Art Review and Future Directions Open
Digitalization has become a driving force for significant advancements in property/facility management (PFM). It is necessary to identify the research gaps and future research directions, which could enable the effective development of dig…
View article: Multi-Objective Optimization of Tower Crane Layout Planning in Modular Integrated Construction Considering Efficiency, Cost, and Lifting Safety
Multi-Objective Optimization of Tower Crane Layout Planning in Modular Integrated Construction Considering Efficiency, Cost, and Lifting Safety Open
With the increase of modular integrated construction (MiC) projects, the planning of tower crane layout (TCLP) becomes vitally essential to achieve a balance among multiple goals, such as efficiency, economy, and safety. However, existing …
View article: Leak detection in water distribution networks using micro-electromechanical systems-based accelerometers: a machine learning approach
Leak detection in water distribution networks using micro-electromechanical systems-based accelerometers: a machine learning approach Open
Water distribution networks (WDNs) worldwide are plagued with water losses. These losses cause massive financial damage of US$39 billion per year and further aggravate the existing water scarcity situation faced by half a billion people th…
View article: Comparative Analysis of Machine Learning Techniques in Enhancing Acoustic Noise Loggers’ Leak Detection
Comparative Analysis of Machine Learning Techniques in Enhancing Acoustic Noise Loggers’ Leak Detection Open
Urban areas face a significant challenge with water pipeline leaks, resulting in resource wastage and economic consequences. The application of noise logger sensors, integrated with ensemble machine learning, emerges as a promising real-ti…
View article: Automated Detection for Alignment of Modular Integrated Construction Modules Using YOLOv9
Automated Detection for Alignment of Modular Integrated Construction Modules Using YOLOv9 Open
Modular Integrated Construction (MiC) represents an innovative approach in the construction industry, where building components are manufactured off-site and assembled on-site, offering enhanced quality control and reduced construction tim…
View article: A BIM-Enhanced Approach to Evacuation Planning in University Environments for Optimizing Safety
A BIM-Enhanced Approach to Evacuation Planning in University Environments for Optimizing Safety Open
In an era of dynamic challenges, ensuring safety in large public spaces is crucial. The spatial layout and arrangement of obstacles in the built environment significantly impact evacuation performance. This research explores crafting evacu…
View article: Bridging barriers to lean construction adoption in megaprojects: a data-driven contribution to sustainable development using SEM
Bridging barriers to lean construction adoption in megaprojects: a data-driven contribution to sustainable development using SEM Open
Megaprojects frequently face cost overruns, delays, and inefficiencies due to their complexity and multi-stakeholder dynamics. As large-scale infrastructure projects with significant economic and social impacts, they demand innovative solu…
View article: Promoting sustainable water distribution networks: Modeling of water pipe failure factors and modes
Promoting sustainable water distribution networks: Modeling of water pipe failure factors and modes Open
202509 bcch
View article: Damage assessment of modular integrated construction during transport and assembly using a hybrid CNN–Gated recurrent unit model
Damage assessment of modular integrated construction during transport and assembly using a hybrid CNN–Gated recurrent unit model Open
202504 bcwc
View article: Explainable deep learning models for predicting water pipe failures
Explainable deep learning models for predicting water pipe failures Open
Failures within water distribution networks (WDNs) lead to significant environmental and economic impacts. While existing research has established various predictive models for pipe failures, there remains a lack of studies focusing on the…
View article: Cross-industry review of autonomous alignment technologies: Adaptation potential for modular construction
Cross-industry review of autonomous alignment technologies: Adaptation potential for modular construction Open
202504 bcch
View article: Making waves: Generative artificial intelligence in water distribution networks: Opportunities and challenges
Making waves: Generative artificial intelligence in water distribution networks: Opportunities and challenges Open
Water distribution networks (WDNs) face increasing challenges from aging infrastructure, population growth, and climate change, necessitating innovative technological solutions. This study examines the integration of Generative Artificial …
View article: A GPR-based framework for assessing corrosivity of concrete structures using frequency domain approach
A GPR-based framework for assessing corrosivity of concrete structures using frequency domain approach Open
Ground-penetrating radar (GPR) is a prominent non-destructive testing (NDT) method for corrosivity evaluation in concrete structures. Most GPR interpretation methods rely solely on the absolute values of rebar reflection intensity, making …
View article: Review Article: Rainfall‑Induced Landslide Prediction Models, Part I: Empirical-Statistical and Physically Based Causative Thresholds
Review Article: Rainfall‑Induced Landslide Prediction Models, Part I: Empirical-Statistical and Physically Based Causative Thresholds Open
Landslides rank among the most devastating hazards, leading to loss of life and destruction of infrastructure, with rainfall being a primary triggering factor. Global climate change has increased landslide occurrence; accordingly, accurate…
View article: Trends and gaps in lean construction practices for construction of megaprojects: A critical review
Trends and gaps in lean construction practices for construction of megaprojects: A critical review Open
Although the rapid growth of construction worldwide, Megaproject management continually encounters extraordinary challenges necessitating the development of new theories and methodologies. Lean construction (LC) is renowned for its ability…
View article: Review of Condition Rating and Deterioration Modeling Approaches for Concrete Bridges
Review of Condition Rating and Deterioration Modeling Approaches for Concrete Bridges Open
Concrete bridges are the most prevalent bridge type worldwide, forming critical components of transportation infrastructure. These bridges are subjected to continuous deterioration due to environmental exposure and operational stresses, ne…
View article: Generative artificial intelligence in construction: A Delphi approach, framework, and case study
Generative artificial intelligence in construction: A Delphi approach, framework, and case study Open
The construction industry plays a crucial role in the global economy, contributing approximately $10 trillion and employing over 220 million workers worldwide, but encounters numerous productivity challenges with only 1 % annual growth com…
View article: Reliability analysis of gas pipelines considering spatial and temporal corrosion variability
Reliability analysis of gas pipelines considering spatial and temporal corrosion variability Open
The accelerating deterioration rate, notably due to corrosion in buried gas pipelines, has prompted the development of a systematic methodology for assessing structural integrity. This study introduces a methodology to evaluate the system …
View article: Impact of Rutting on Traffic Safety: A Synthesis of Research Findings
Impact of Rutting on Traffic Safety: A Synthesis of Research Findings Open
Quantifying the impact of rutting on traffic safety contributes to the development of objective models for evaluating pavement performance. However, the existing literature shows significant discrepancies in the impact of rutting on traffi…
View article: Examining the Barriers to the Adoption of IoT-Based Technologies in Green Buildings
Examining the Barriers to the Adoption of IoT-Based Technologies in Green Buildings Open
Although the adoption of Internet of Things (IoTs) for green buildings (GBs) has attracted significant attention from researchers and practitioners in the construction sector, few studies have investigated the barriers to its implementatio…