Faculty of Engineering-Scopus

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A Non-Intrusive and Cost-Effective IoT-Based System for Smart Monitoring of Power Consumption
(Institute of Electrical and Electronics Engineers Inc., 2025) Jayasooriya, S; Malasinghe, L
Electrical utility companies in developing countries traditionally employ non-smart energy meters to measure their users' electricity consumption, with billing conducted on a monthly or quarterly basis. However, there is an emerging market, especially in developing countries, for customers to measure their day-To-day energy usage, similar to how they track their internet data consumption. This project aims to contribute to addressing this demand by designing and developing a non-intrusive and cost-effective ESP-32-based optical measuring device that can autonomously and accurately take imagery measurements from electrical utility meters, carry out cloud-based extraction of data using optical character recognition and transmission to an interactive web application for users to access their current and historical electricity usage records remotely in a more informative way.
Open Access
A Spatial Study on the Ecological Signatures of Landscapes in Colombo
(Springer Science and Business Media Deutschland GmbH, 2025) Subasinghe J.C; Madhushani T.M.C.I.; Gomes P.I.A
Urbanization is a governing demographic feature and a significant part of global land transformation. According to the United Nations, more than half of the world’s population lives in urban areas. If not studied and managed properly, urbanization can affect negatively its residents, and in Sri Lanka this is about 20%–30% in commercial areas and residential areas. Yet, studies related to exploring functions and status quo of different landuses are rare and rather unfound in Sri Lanka. This study the variations of temperature, humidity, soil moisture, infiltration rate, shrub cover and tree richness with different landuses namely, cemeteries, parks, residential areas and institutes have been investigated to see whether the landuses actually are the landscapes people perceive. It was found that the humidity of land plots with Institutes is significantly higher than all the other landscape types. Interestingly, it was observed that parks and cemeteries possessed high humidity levels while Institutes and Residential areas possessed a comparatively lower humidity level. The soil moisture content and infiltration rates of institutal landscape significantly differed from those of other landscape types. Shrub cover variation between Residential areas and Institutes was insignificant, while shrub cover of all the other landscape types resulted in substantial differences with a significance level of 0.00. The analysis of variation of multiple ecological factors under landscape types depicted that for all the temperatures, the shrubs cover percentage of cemeteries lies higher than the rest of the landscapes. In cemeteries, initially, the shrub cover increased with the humidity and with increments of humidity level, the shrub cover decreased. Overall sense, the Institutional areas depicted relatively adverse liveable conditions, and Cemeteries depicted most favourable conditions, interestingly it was better than Parks. This study gave insights into how these landscapes be best manged and engineering interventions needed in that regard.
Open Access
Assessment of Influence of Flow Regime on Heat Transfer Capacity of A Shell and Tube Heat Exchanger Using Computational Fluid Dynamics Analysis
(Avestia Publishing, 2025) Ushettige S.A.P; Wimalsiri W.K; Hikkaduwa H.G.S
Shell and tube heat exchangers (STHX) are widely adopted in industrial thermal systems due to their reliability and performance. As such thermo-mechanical design and sizing of these devices has become a continuously expanding and existing research domain. Following technological advancements, CFD is now widely adopted for flow analysis and design. An upcoming area as of recent is the integration of tools such as non-linear least squares regression and CFD to develop correlations capable of predicting thermal performance based on the input design parameters such as Re and Pr. However, limited applications exist for STHXs. This study focuses on the development of thermal correlations in the form of Nu = C.Rea.Prb for a small TEMA E-type STHX. For these devices, turbulence is identified as a key parameter which affects thermal and mechanical performance and is often introduced by using metal plates known as baffles. Single segmental baffles which are widely used in industry are integrated into the design. Hence, turbulence is varied as a function of both the mass flow rate and the central spacing among the baffles. CFD Modelling in ANSYS-Fluent is conducted in the steady state for six, eight, ten and twelve baffles. Following CFD analysis the data is fit using non-linear least squares regression in MATLAB Curve-Fitter Toolbox generating four correlations with applicable operating ranges. The results of the goodness of fit were reasonable, however, high 95 % confidence interval widths were evident for certain fitted coefficients leaving further potential for improvement. The work conducted highlights that the application of CFD combined with numerical tools such as non-linear least squares regression can act as an aid in the design and optimization of heat exchangers, increasing design potential for engineers and researchers.
Open Access
BARRIERS AND SOLUTIONS TO ADOPTING DIGITAL TWIN IN SRI LANKAN CONSTRUCTION
(Ceylon Institute of Builders, 2025) Indunil H.T.T.A; Bandara R.P.H.S; Buddhini P.H.Y.
In the Industry 4.0 era, Digital Twin (DT) technology has emerged as a key innovation, integrating physical assets with their digital counterparts to enhance coordination, safety, and cost management in construction. Despite its potential, DT adoption in construction remains limited, particularly in developing countries like Sri Lanka, due to high costs, technological barriers, and a lack of standardized integration methods. While DT has significantly improved efficiency in other sectors, the construction industry still lacks practical large-scale applications and a unified framework for implementation. This research aims to explore the applicability of DT in Sri Lankan construction projects. Moreover, semi-structured expert interviews were conducted with 7 experts to gather data. Accordingly, the literature review and insights gathered from interviews highlighted its current usage, benefits, and barriers, and proposed 8 practical solutions to facilitate broader adoption of DT in the Sri Lankan construction industry. The findings of this research are anticipated to contribute significantly to the effective integration of DT technology within the Sri Lankan construction sector. The results underscore the promising role that DT can fulfil in addressing a variety of barriers confronting the construction industry. This study not only emphasizes the critical importance of adopting Digital Twin technology but also seeks to raise awareness of its potential, thereby encouraging its utilization and ushering in a new era of innovation in the Sri Lankan construction industry.
Embargo
Deep Learning Based Sinhala Sign Language Recognition
(Institute of Electrical and Electronics Engineers Inc., 2025) Samarakoon, S.C; Weerasinghe, M
Deaf individuals in Sri Lanka rely primarily on Sinhala Sign Language (SSL) for communication due to hearing impairments. However, effective communication between the Deaf and hearing populations remains challenging due to the limited knowledge of SSL among hearing individuals. This research aims to address this gap by developing an SSL gesture recognition system using computer vision and deep learning techniques. Specifically, the study compares the performance of 3D Convolutional Neural Networks (3D-CNNs) and a hybrid 2D Convolutional Neural Network with Long Short-Term Memory (2D-CNN+LSTM) for classifying short-duration spatiotemporal SSL gestures. Additionally, the research emphasizes reducing computational complexity to ensure efficient operation of the system on low-end devices. These contributions advance the accessibility and practical usability of gesture recognition systems for the Sinhala Sign Language.
Embargo
Dual-Channel OOK (D-COOK) Modulation for UAV-Assisted Mixed THz/VLC Systems
(Institute of Electrical and Electronics Engineers Inc., 2025-06) Rajahrajasingh, H; Jayakody, D. N.K; Muthuchidambaranathan P; Tsiftsis, T.A
This paper investigates a dual-hop UAV-assisted communications system that integrates Terahertz (THz) and Visible Light Communication (VLC) over a decode-and-forward (DF) relay that bridges the THz and VLC segments. The VLC channel is modelled to account for additive background noise and deterministic fading, while the THz link is subject to path loss, absorption loss, and pointing errors. A comparative analysis with Free Space Optics (FSO)-VLC and Radio Frequency (RF)-VLC systems highlights the superior performance of the THz-VLC system, especially at high signal-to-noise ratios (SNR), in terms of BER and outage probability. Furthermore, a novel modulation technique is proposed that enables increased data rates. Performance evaluation of the proposed modulation scheme further validates the effectiveness of the system.
Embargo
Dual-Hop Hybrid Communication for Underwater and Terrestrial Systems: A Study on VLC and RF/FSO/THz Integration
(Institute of Electrical and Electronics Engineers Inc., 2025) Rajahrajasingh, H; Jayakody, D.N.K; Tsiftsis, T.A
This paper presents an analysis of dual-hop hybrid communication systems that integrate Visible Light Communication (VLC) for underwater transmission with three different terrestrial communication technologies. Specifically, we compare the performance of VLC with radio frequency (RF), free space optics (FSO), and terahertz (THz) communication in a cooperative framework involving a floating buoy as a relay node. Our results demonstrate that the THz-VLC combination significantly outperforms both the RF-VLC and FSO-VLC configurations in terms of Outage Probability (OP) and overall system efficiency. This work provides valuable insights into optimizing communication pathways in hybrid underwater-terrestrial environments, highlighting the potential of THz technology for enhanced data transmission.
Embargo
Enhancing Chronic Kidney Disease Prediction : A Hybrid Approach Combining Logistic Regression and Random Forest Models
(Institute of Electrical and Electronics Engineers Inc., 2025) Jathunga, T; Abeygunawardena, N
This study investigates the use of Machine Learning (ML) models for Chronic Kidney Disease (CKD) prediction, comparing Logistic Regression with L1 and L2 regularization, Random Forest , and a Hybrid Voting Classifier. The models were evaluated using performance metrics including accuracy, precision, recall, and F1-score, with the hybrid model demonstrating the highest accuracy of 99 percent, followed by Random Forest at 98 percent. Logistic Regression models achieved accuracies of 97 percent and 98 percent , with slight variations in recall for different classes. Cross-validation and learning curve analyses indicated minimal overfitting in ensemble models. These results emphasize the potential of ML models for accurate CKD prediction, suggesting further research into model optimization and data preprocessing techniques.
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Estimation of Switching Overvoltages during Energization of Transmission Lines using Recurrent Neural Networks
(979-833153728-9, 2025) Pelendagamage, S; De Silva, H
Overvoltages frequently pose significant challenges during the energization of transmission lines. During restoration, transmission lines have to be energized from zero voltage to the nominal voltage and the switching of transmission lines is a primary source of these overvoltages. The magnitude and waveform of switching overvoltages are influenced by system parameters, network configuration, and the specific point in the wave cycle at which switching occurs. The ability to estimate peak overvoltages in real-time is crucial for operators, during power system restoration. Traditional methods rely on extensive simulations or empirical formulas, which may not provide the necessary speed or accuracy for operational decisions. It is crucial for operators to ensure that peak overvoltages from switching actions remain within safe limits. This paper introduces a compact long short term memory recurrent neural network (LSTM RNN) based methodology to estimate the peak overvoltages induced during line energization. The developed RNN is trained and tested using extensive simulated data in PSCAD. The results demonstrate that the proposed RNN technique accurately estimates the peak values of switching overvoltages, offering a reliable tool for operators during power system restoration.
Embargo
Experimental Investigation on a Surface Treatment Technique to Enhance the Performance of Calicut Tile Aggregates
(Springer Science and Business Media Deutschland GmbH, 2025) Kishotharan S; Somarathna H.M.C.C; Kaashif M.M.M.; Johnkeshanth J
The acceleration of urban development has noticeably escalated construction activities and the requisition for concrete, which predominantly depends on natural aggregates. In light of the finite access to these natural resources, investigative alternate materials that preserve the mechanical robustness of concrete is imperative. Scholarly investigations reveal that the incorporation of Calicut Tile Aggregates (CTA) as a renewable substitute for Natural Coarse Aggregates (NCA) in concrete compositions up to 40% of NCA is feasible with negligible detriment to performance. The objective of the present study is to enhance the properties of CTA through a surface treatment technique, specifically a cement sand coating, to amplify its compatibility and adhesion with the cement matrix. The methodology encompasses immersing the fragmented CTA in water for 24 hours, followed by the application of a coating of a mix of one part cement to two parts sand, and subsequently curing the coated aggregates for 28 days. The proposed treatment has been shown to enhance the physical and mechanical properties of CTA, endorsing its application as a sustainable construction aggregate. Experimental outcomes indicate that the processed CTA exhibits an enhanced specific gravity, diminished water absorption rate, and enhanced mechanical performance. Comparative analyses were conducted on concrete specimens utilizing various compositions: entirely NCA, untreated CTA and treated CTA, with partial substitutions at increments of 20% and 40%. These examinations disclosed that treated CTA showcased an improvement in compressive strength and energy absorption capacity. Consequently, the application of treated CTA addressed the intrinsic limitations of untreated CTA, potentially enhancing the ductility and resilience of the resultant composite material.
Embargo
Graph Neural Network Based Surrogate Model for Design Informed Structural Optimization
(Springer Science and Business Media Deutschland GmbH, 2025) Ariyasinghe, N; Weeratunga, H; Mallikarachchi, C; Herath, S
Structural optimization of skeletal forms is crucial in weight-sensitive applications. Optimizing such structures often involves iterative, computationally intensive methods, which are inefficient under varying design parameters and constraints. This paper introduces a novel surrogate model based on Graph Neural Network (GNN) for real-time structural optimization, aimed at significantly reducing computational costs. In our approach, trusses composed of pin joints and connecting members are represented as graphs, where joints correspond to vertices and members to edges. This correspondence forms the use of Graph Neural Networks (GNNs) to predict topology and size-optimized truss structures. The GNN models the truss as a graph, with edges denoting member cross-sectional areas and nodes representing truss joints, based on input parameters such as geometry, load combinations, and boundary conditions. The resulting predicted structure reflects the optimized topology and member sizes. The proposed model bypasses the need for iterative computations by learning from a dataset comprising various problem definitions and their corresponding optimized results. This GNN-based optimization holds substantial promise for design scenarios requiring rapid and reliable optimization, demonstrating the potential for significant computational time savings while maintaining high accuracy in predicting near-optimal truss layouts. This is particularly significant in the context of sustainability, where industrial users can produce optimally designed structures with minimal material usage within a fraction of the computational power and time required for different applications. Testing results indicate that the model effectively generalizes across various design scenarios, providing near-optimal solutions with minimal computational effort. Specifically, the predicted structures exhibited a normalized root mean square error (NRMSE) of less than 10−3 and R2 values approaching unity. Additionally, predictions were made in under 0.01 s, demonstrating both accuracy and efficiency.
Open Access
Lean integrated circular economy in the Sri Lankan construction industry: a qualitative Delphi study
(Ceylon Institute of Builders, 2025) Vijayakumar, H; Ranadewa K.A.T.O; Weerakoon, P; Weerakoon, P; Jayanetti J.K.D.D.T
The construction industry is known for its significant environmental impact and waste generation. To address this issue, the concept of Circular Economy (CE) has emerged, aiming to minimise waste and maximise resource utilisation. However, there are several barriers which impede the implementation of the CE concept in the construction industry. Therefore, this research aims to incorporate the lean concept to overcome the barriers of CE implementation in the construction industry. Therefore, this research develops a framework for a lean-enabled CE in the construction industry. The qualitative approach is used for this paper, and the Delphi technique was adopted. Purposive sampling was used to select the experts for the study, and data were analysed through manual content analysis. The findings revealed 10 benefits from CE and 12 benefits from Lean were identified, along with 8 benefits of CE and Lean integration. Furthermore, 19 barriers were identified towards this integration, and 12 strategies were identified to overcome these barriers. This study also provides a comprehensive mapping between CE and Lean implementation benefits, their integration benefits and barriers, and strategies. In addition, integrating lean and CE for the construction industry can lead to many significant benefits, such as cost savings, improved environmental performance, and enhanced stakeholder engagement.
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Relative Tsunami Vulnerability of Structural Materials Across Tsunami Events
(Institute of Electrical and Electronics Engineers Inc., 2025) Ukwaththa U.J.; Dias W.P.S
The influence of structural material on tsunami vulnerability is well established. However, there are shortcomings in incorporating this effect into vulnerability models. This study was conducted to compute the overall building damage due to a tsunami from fragility curves and replacement cost coefficients, and to identify the influence of different structural materials on structural vulnerability. The damage curves were of negative exponential form, with the influence of differing structural materials characterized by the single parameter defining those curves, i.e. the 'n' value. The results confirmed the established knowledge that vulnerability increased from RC through steel and masonry to timber structures. More importantly, they highlighted the fact that relative vulnerability is coupled with inundation depth, since, at depths approaching around 6 m, all materials will incur similar heavy damage. The most important finding of this work is that there is less modelling variance across tsunami events if a relative vulnerability approach is used (with each material compared to reinforced concrete), rather than using a mean 'n' value for each material across all tsunami events.
Open Access
Single board computer and adapted 3D-printed case-based low cost and compact optical coherence tomography
(SPIE, 2025) Seong, D; Han, S; Kim, Y; Hong, J; Wijhesinghe, R. E; Jeon, M; Kim, J
Optical coherence tomography (OCT) is a non-invasive, label-free imaging method based on high-resolution interferometric optics that allows real-time visualization of morphological structures and depth-resolved images. The high cost of most commercially available OCT systems limits their widespread use, especially in resource-poor settings. Miniaturization of OCT devices therefore reduces not only size but also cost and has the potential to open new markets for this technology. In this study, we developed a small, portable 3D printed OCT system (SBC-OCT) based on a single-board computer. To reduce the cost to configure the system, the whole case of SBC-OCT is made with 3D-printed architecture. Using an area camera to avoid thermally induced alignment distortions in the spectrometer during system operation, the spectrometer is temperature insensitive, requires no hardware changes or additional components, and requires minimal computational effort. An applied automatic signal correction method was developed. The smaller size, lighter weight, and lower cost of SBC-OCT highlight its significant relevance in medical, industrial, and security applications, showcasing its potential for broad adoption.
Open Access
THE APPLICABILITY OF CARBON EMISSION ESTIMATION WITH BIM ENVIRONMENT: SRI LANKAN CONTEXT
(Ceylon Institute of Builders, 2025) Perera D.A.M.V; Allis C; Perera B.K.C; Lokuge A
The global construction industry is increasingly adopting sustainable practices and advanced technologies to enhance efficiency and reduce environmental impacts. Within this context, managing carbon emissions has emerged as a critical component of sustainable development, with Building Information Modelling (BIM) serving as a pivotal tool in this pursuit. While developed countries have already integrated BIM and carbon emission estimates, there is a notable opportunity for similar advancements in developing countries, potentially leading to significant progress within the industry. Hence, this paper aims to explore the applicability of implementing BIM for carbon emission estimations in the Sri Lankan construction industry. A comprehensive review of existing literature identified the importance of carbon emission simulations, BIM implementation strategies and estimation procedures in other countries. Further, this research involved a survey to assess the familiarity and experience levels of construction professionals with BIM tools for carbon emission estimations in Sri Lanka. Findings from the research point to Autodesk Insight as the primary software tool used within the industry. While the industry demonstrates an awareness of these processes, its progress is hampered by a lack of experience in using these technologies for carbon emission estimation scenarios and the absence of crucial databases such as Environmental Product Declarations. The study recommends enhancing industry capacity through targeted training and the adoption of advanced tools. It also encourages further research to assess the compatibility of BIM technologies in the local context, aiming to bridge the gap and drive sustainable transformation in Sri Lanka’s construction sector.
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The Impact of Interior Design Environment on Employee Satisfaction: An Insight on State Offices in Sri Lanka
(Springer Science and Business Media Deutschland GmbH, 2025) Kalpani K.I.; Ratnayake J.C; Wimalaratna P.L.; Wijesundara J
Job satisfaction is crucial in corporate settings, as it influences employees’ attitudes and performance. While previous studies have highlighted the importance of workplace conditions on job satisfaction across various countries, there is a notable lack of research within the Sri Lankan context, particularly in state offices. This research investigates the factors affecting employee satisfaction in Sri Lankan state offices, with a specific emphasis on interior design environment. The study aims to determine how specific interior design environmental cues impact employee satisfaction. Based on a comprehensive literature review, the independent variables identified include floor layout, furniture arrangement, lighting, colour scheme, air temperature, noise and acoustics. This study employs a mixed-method approach, combining quantitative and qualitative data, to explore the impact of the interior design environment on employee satisfaction in three high-profile state offices in Colombo and Sri Jayewardenepura. Primary data were collected through observations and structured questionnaires distributed across various departments, yielding 50 responses from each office, resulting in a total sample size of 150 participants. On-site measurements for lighting levels, temperature, and noise levels, were taken, while furniture, colour, and floor layout were assessed through visual inspections. Questionnaire responses were analysed using SPSS statistical software. The research found that floor layout, furniture, lighting, and colour significantly impact employee satisfaction, whereas temperature and noise have minimal impact. The study offers design recommendations to improve state office environments, emphasizing the importance of passive design techniques to enhance user-friendliness and environmental sustainability, ultimately increasing employee satisfaction. This research fills a critical gap in the literature and provides practical insights for improving the working conditions in Sri Lankan state offices.
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TOWARDS A CIRCULAR ECONOMY: EVALUATING EFFECTIVE IMPLEMENTATION STRATEGIES FOR RECYCLING AND REUSE PROGRAMMES IN SRI LANKA’S CONSTRUCTION INDUSTRY
(Ceylon Institute of Builders, 2025) Lakshan S.D.V.; Wijekoon W.M.C.L.K; Buddhini P.H.Y
Construction waste accounts for a significant portion of the total waste generated in Sri Lanka. To promote a Circular Economy (CE) in the construction industry, it is essential to adopt building procedures that minimize waste, increase the use of recycled materials in new construction, and create markets for recycled and reused materials. However, the lack of modern recycling facilities and technologies hampers the effective processing and reuse of construction materials. Additionally, there is limited market demand for recycled construction materials, primarily due to concerns about product quality and the absence of standardized products. In order to promote sustainability and reduce the industry's reliance on new materials, it is crucial to implement recycling and reuse programs. Therefore, this research aims to evaluate the effective implementation strategies for recycling and reuse programs in Sri Lanka's construction industry. The literature review highlighted these existing programs and identified the challenges and opportunities for implementing recycling and reuse initiatives in Sri Lanka's construction industry. Additionally, semi-structured interviews were conducted with 9 experts, and a questionnaire survey was administered to 48 participants to gather data. The interviews revealed strategies to address the challenges, while thematic analysis was employed to analyze the interview data, and the Relative Importance Index (RII) method was used to evaluate the effectiveness of the identified strategies. A total of 9 strategies were identified for integrating recycling and reuse programs into Sri Lanka's construction industry. The findings of this study may enable to enhance the sustainability in the construction sector by minimizing waste and promoting sustainability goals.
Open Access
TOWARDS SUCCESSFUL IMPLEMENTATION OF OFFSITE CONSTRUCTION IN SRI LANKA: BARRIERS AND STRATEGIES
(Ceylon Institute of Builders, 2025) Manodya L.P.T.; Bandara R.P.H.S; Buddhini P.H.Y
The construction industry has significantly progressed by incorporating modern construction technologies. Offsite building is growing in popularity, yet it continues to face resistance from the built environment market and the construction industry. Offsite construction (OSC) is gaining recognition globally as a sustainable, efficient, and innovative alternative to traditional construction methods. In Sri Lanka, despite the evident benefits but OSC adoption remains limited due to several barriers. This research aims to investigate and identify strategies to overcome the barriers that hinder the successful implementation of OSC in building projects in Sri Lanka. Accordingly, the literature review highlighted the feasibility of OSC for the Sri Lankan construction industry and the advantages and barriers of OSC in the Sri Lankan context. Moreover, semi-structured expert interviews were conducted with 10 experts to gather data, and thematic analysis was used to analyze the collected interview data. Findings reveal that the primary barriers include high initial capital costs, lack of skilled labour, insufficient governmental support, limited public awareness, and a reliance on conventional construction practices. Additionally, logistical challenges, such as transporting prefabricated components, and the absence of standardized design codes further constrain OSC implementation. Despite these obstacles, the study emphasizes the transformative 5 potential strategies proposed for promoting the adoption of OSC in building projects in Sri Lanka. This strategy strives to empower Sri Lanka towards a more innovative, productive, and sustainable construction industry
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Uniaxial Compression Response of Concrete with Communication Cable Waste Under Varying Loads
(Springer Science and Business Media Deutschland GmbH, 2025) Nifal M.N.M; Somarathna H.M.C.C; Pithurjan I.; Satkunananthan K
This investigation was designed to explore the uniaxial compressive behaviour of concrete integrated with communication cable waste across a range of loading conditions. The study sought to assess the viability of partially substituting coarse aggregate in concrete with a volume ratio of 10%. Specimens prepared according to these specifications were subjected to compressive testing under varied loading scenarios. The concrete specimens, having matured for 28 days, were tested across three distinct cross-head speeds, 1, 20, and 200 mm/min to induce varying strain rates reflective of diverse loading conditions. The ensuing stress versus strain profiles generated from these tests were examined and used to study the effects of different strain rates on key compressive properties, including ultimate stress, strain at ultimate strength, energy absorption at ultimate strength, and fracture energy. Notably, the investigation uncovered that the strain rate exerts a considerable influence on the compressive characteristics of both traditional and cable fibre-reinforced concrete. A trend was identified wherein enhancements in ultimate stress, energy absorption at ultimate strength, and fracture energy were observed associated with increasing strain rates. In contrast, the strain at ultimate strength exhibited a decline under these conditions. This pattern underscores the key role of fibre inclusion in enhancing specific mechanical properties while concurrently mitigating the propagation of cracks. The integration of a 10% fibre volume fraction enhances the dynamic compressive properties of the material, making it more adept for applications in pavement. Such findings underscore the potential of fibre-enriched concrete, particularly with the addition of communication cable waste, as a robust alternative in the construction of pavements, where dynamic load-bearing capacity is essential.