Conventional Construction Research Articles

OHCA-GCN: A novel graph convolutional network-based fault diagnosis method for complex systems via supervised graph construction and optimization

Fault diagnosis is crucial for ensuring the safe and stable operation of complex systems. Recently, graph convolutional network (GCN)-based fault diagnosis method has emerged as a hot research topic due to its ability to effectively handle the association information inherent in the collected dataset. Regarding the method, a fundamental challenge is the construction of the association graph, conventional construction methods struggle to capture the intricate relationships between nodes with complex coupling. Besides, they operate in an unsupervised learning mode, lacking the ability to evaluate and adjust the constructed graph. To handle this challenge, a novel graph convolutional network-based fault diagnosis method via supervised graph construction and optimization (OHCA-GCN) is proposed. Specifically, the supervised orthogonalized-autoencoder is proposed to construct the association graph. Then, a high-order correlation analysis-based graph optimization strategy is proposed to ensure graph sparsity and alleviate the over-smoothing issue. To validate the effectiveness of the proposed method, experiments are carried out on a pulse rectifier dataset from a hardware-in-the-loop platform. The results show that the proposed method exhibits the excellent diagnostic performance compared with the existing methods.

Simulation and Mitigation of the Carbon Footprint from Conventional Construction Materials and Replacement with Alternative Materials

Objetivo: O objetivo foi analisar quais impactos ao meio ambiente, provenientes da construção de residenciais, realizando uma simulação da pegada de carbono desse empreendimento e elaborando um comparativo com a substituição de materiais convencionais para materiais alternativos na mitigação de Dióxido de carbono (CO2). Referencial Teórico: A contribuição efetivamente da indústria da construção civil na emissão dos GEE, devido extração de materiais, transporte dos mesmos e processo de fabricação do cimento. O setor é encarregado pela produção de um bem que possui uma longa vida útil, assim, é possível perceber que a emissão dos gases tem um papel crítico ao meio ambiente Método: A metodologia foi dividida nas seguintes etapas: pesquisa bibliográfica, com ênfase nos temas; coleta de dados, que foram levantados a partir de trabalhos em campo e a utilização de geoprocessamento com dados oriundos do sensoriamento remoto; análise dos impactos ambientais e o comparativo de materiais convencionais para materiais alternativos. Resultados: Comprovou-se nos resultados dos materiais construtivos que, comparando os valores de 212,83 kgCO2 e 208,14 kgCO2, respectivamente, de CO2 emitido pelos cinco materiais escolhidos, chegou-se a um total de redução de 4,69 kgCO2, ou seja, o equivalente a 2,2% a menos de CO2 emitido por cada casa, se substituídos as telhas cerâmicas e os tijolos cerâmicos por bambu. Implicações da pesquisa: Os resultados deste trabalho são de grande relevância para o desenvolvimento sustentável na construção civil, não só apenas do município de Garanhuns, mas em todo Agreste meridional, trazendo para o interior de Pernambuco possibilidades de mitigar as emissões de gases. Originalidade/valor: Utilizando o conhecimento técnico e as emissões dos materiais construtivos utilizados no Brasil, espera-se contribuir de forma relevante para a problemática que se apresenta, pois a construção civil como um todo, necessita de mudanças em sua forma de emitir gases do efeito estufa, já que é um setor com um alto potencial de mitigar os efeitos causados pelas emissões de GEE emitidos pelos seus materiais construtivos.

Use of Digital Tools (Wikihouse System) in Multi-Local Social Housing

The primary objective of this study is to formulate a comprehensive digital and physical model, at a scaled level, for a social housing unit utilizing the open-source Wikihouse system. The construction industry is currently grappling with the dual challenges of a real estate crisis and climate change. In response to this scenario, the integration of industrialized methods in construction processes is advocated to enhance the overall quality of the end product, streamline construction timelines, and curtail production costs. The algorithm developed for this purpose leverages Rhino and Grasshopper programs, thereby optimizing material efficiency when compared to traditional individual pieces. Noteworthy among the features of the Wikihouse system is its remarkable versatility, allowing implementation in diverse locations. This flexibility stems from its efficient assembly characteristics, which liberate it from the constraints of rigid modular structures, contributing significantly to architectural design flexibility. The paramount finding of this research is the demonstrated efficiency of the proposed system, requiring 44% less time compared to conventional construction practices and exhibiting a commendable 29% reduction in costs. These outcomes position the Wikihouse-based approach as an appealing and competitive alternative within the real estate sector.

An Experimental Study of Concrete Mixed with Coconut Shell as Partial Replacement of Course Aggregate

The high cost of conventional construction materials affects the economy of structure. The possibility of utilizing recycled coconut shell aggregates in concrete as coarse aggregate is examined in the present study. An optimum percentage replacement of coarse aggregate with coconut shell aggregate is determined from the study. Coconut shell is a lightweight material thus producing lightweight concrete. The replacement of coarse aggregate of coconut shell by 10%, 20% and 30%. The Design mix used is M20 grade and testing of specimens are conducted after 7 and 28 days of curing. The flexural and compressive strength of concrete are tests. The main objective is to encourage the use of these waste products as construction materials in low-cost housing Aggregate is a major ingredient for making concrete, occupying almost 70-80% part of concrete. Conventionally crushed rocks are used as coarse aggregate and river sand as fine aggregate. Both are naturally available materials. Due to the speedy growth of construction works, conventional aggregate sources are exhaust very fast leading to a significant increase in the cost of construction. For sustainable development, these materials should be used wisely and alternative materials need to be searched to replace regular aggregate. A large number of studies have been done to search for alternative materials for the production of concrete. At the same time due to fast industrialization, production of waste material is increasing day by day. Its disposal has become a real problem. It can be concluded that the ideal amount of coconut shell replacement for coarse aggregate for M20 Concrete is 10% -20%. Key Words: Concrete Mix, Coconut shell, Low cost housing, Flexural strength, Compressive strength, Design mix, Replacement of Course Aggregate.

Adopting Sustainable Practice: the Benefits to the Nigerian Construction Industry

The negative impacts of construction activities on the environment have become a global concern, which has caught the attention of researchers worldwide. One medium to encourage the adoption of sustainable construction practices and curb this global menace is the identification of their benefits. Thus, this research seeks to explore the benefits of adopting sustainable practices in the Nigerian construction industry. A total of (26) benefits were extracted from an extensive review of relevant literature which was then used to formulate a well-structured questionnaire distributed to construction professionals in Lagos State, Nigeria. A total of 216 responses were received and found usable for analysis. The responses were analyzed using mean scores, factor analysis, and reliability tests. The findings showed that the major benefits of adopting sustainable construction practices in Nigeria are improved environment, clients and user satisfaction, enhanced quality of life, improved productivity, and reduced cost. The study concluded that, when the project lifecycle is taken into account, sustainable construction tends to save 18% of the total project cost, making it less expensive than conventional construction. Therefore, it is proposed that governments and construction stakeholders educate clients about the benefits of sustainable practices during building operations, as highlighted in this study, in order for them to be implemented effectively.

Effect of partial delignification and densification on chemical, morphological, and mechanical properties‏ of wood: Structural property evolution

Efforts have been dedicated to developing sustainable alternatives for conventional construction materials, resulting in the development of densified wood as an innovative, environmentally friendly, and high-performance material. This study focuses on investigating the effects of treatment parameters (e.g., partial delignification boiling time, chemical concentrations, and hot-pressing pressures) on the chemical, morphological, and mechanical properties of the densified wood. Results revealed that the partial delignification process of low-density Balsa wood reduced lignin content by 50–80%, which enhanced the crystallinity of the wood by 21–54%. However, prolonged periods of partial delignification caused a degradation in the crystalline regions in wood. The modulus of rupture (MOR) and modulus of elasticity (MOE) of the densified wood samples increased by 90–680% and 10–810% compared with those of the raw wood samples, respectively. The MOR of the densified wood also showed a dependency on lignin content and porosity. An optimal lignin content of approximately 10% was associated with the highest MOR in densified wood. Moreover, the relationship between the MOR and porosity suggested that the MOR improvement occurred in two stages. The first stage of MOR improvement is controlled by the reduction in the porosity and the second stage is controlled by the improved hydrogen bonding among cellulose nanofibrils.

Evaluation of Waste Ceramic Tiles, Reclaimed Asphalt Pavement and Recycle Concrete Aggregate as Pavement Sub-Base

The use of various reclaimed or recycled materials from ancient structures as a source of construction materials has become common in modern road and pavement engineering procedures due to the shortage of fresh natural aggregate supplies and rising processing prices. Waste ceramic tiles (WCT), reclaimed asphalt pavement (RAP), and recycled concrete aggregate (RCA) have all been used for a long time as aggregates in the construction of pavement. WCT, RAP, and RCA are all thoroughly analyzed in this paper, with a focus on their mechanical, environmental, and physical properties. To evaluate the load-bearing ability, drainage capabilities, and long-term durability of these substitute materials when applied as pavement sub-base, laboratory tests and performance analysis were carried out. Since different mixtures of these materials are created, the maximum California bearing ratio of 25.54% is found. By promoting the usage of recycled materials, eliminating waste, and lowering the carbon footprint associated with conventional construction processes, this initiative helps to sustainably build out transportation infrastructure.

Structure Design and Strength Analysis of the Glass Reinforcement Plastic (GRP) Malay Traditional “Perahu Bedar”

The Perahu Bedar, a traditional fishing boat in the Terengganu region of Malaysia, has been historically crafted from Cengal wood. In response to challenges posed by wood scarcity and limitations in skilled craftsmen, this study pioneers the exploration of Glass Reinforced Plastic (GRP) as a novel alternative material for constructing the traditional Perahu Bedar, measuring 4.32 meters in length. Through a rigorous analysis, the research delves into the structural design intricacies and strength attributes of the GRP Perahu Bedar, marking a significant departure from conventional wood-based construction methods. The study conducts a comprehensive analysis of the structure design and strength characteristics of the GRP Perahu Bedar. The weight, buoyancy force, and load distribution along the boat are analyzed. The data shows varying weight and buoyancy forces along the stations, with positive load values indicating upward forces contributing to buoyancy and negative load values representing downward forces. This analysis provides insights into the boat’s stability and distribution of forces. The sheer force and bending moment along the Perahu Bedar are evaluated. The sheer force values gradually increase or decrease along the boat, while the bending moment is highest at the midsection and decreases towards the ends. These results indicate the distribution of forces and stress on the boat’s structure, aiding in understanding its integrity and stability. The Factor of Safety (FoS) analysis demonstrates a FoS value of 2.2368, indicating a safety margin greater than 1. This suggests that the GRP Perahu Bedar design meets safety requirements and can withstand applied 
 
 stresses without exceeding yield strength. The FoS value provides assurance of structural integrity and safety during normal operating conditions. In summary, this study underscores the groundbreaking potential of Glass Reinforced Plastic (GRP) as a viable alternative to traditional wooden Perahu Bedar due to very high cost of Cengal Wood (wood that been used to build Peahu Bedar). By meticulously analyzing critical factors such as weight, buoyancy, load, shear force, bending moment, and Factor of Safety (FoS), the research offers invaluable insights into the structural integrity and safety aspects of GRP Perahu Bedar. These revelations not only herald a new era of sustainable and cost-effective boatbuilding practices but also serve as a crucial step towards safeguarding and perpetuating the rich maritime heritage of the region.

Mechanical Properties of Concrete Containing Coconut Shell as Coarse Aggregate Replacement

The increase in the price of traditional construction materials is a serious issue. Concrete, which is made of cement, sand, coarse aggregate, and water, is widely used as a building material. However, an increase in concrete production has certain negative consequences for the environment, such as the extraction of natural resources such as aggregate. Therefore, innovation in concrete materials without neglecting strength can always be done. Coconut shells are one of the recycled materials that can be used as a replacement for conventional construction materials such as aggregate. The aim of this research is to investigate the properties of concrete by using coconut shell as a partial replacement for coarse aggregate. A total of 60 samples with 0%, 10%, 20% and 30% of coconut shells as coarse aggregate for concrete replacement were cast. The properties of fresh and hardened concrete with coconut shell as coarse aggregate replacement were determined at 7, 14, and 28 days of curing ages. The results showed that concrete with coconut shell as a coarse aggregate replacement had a positive impact on workability, porosity, density, and UPV but not on compressive and tensile strength. However, the concrete made from coconut shell aggregates satisfied the minimum requirements of normal concrete, resulting in the acceptable strength required for M30 grade concrete. It can be used as lightweight concrete. Using coconut shell as a replacement for aggregate is not only cost-effective and environmentally friendly, but it also helps solve the problem of conventional material shortages, such as coarse aggregate. It can also help to solve the problem of waste disposal.

Organic Cocrystal Alloys: From Three Primary Colors to Continuously Tunable Emission and Applications on Optical Waveguides and Displays.

Multicolor luminescence of organic fluorescent materials is an essential part of lighting and optical communication. However, the conventional construction of a multicolor luminescence system based on integrating multiple organic fluorescent materials of a single emission band remains complicated and to be improved. Herein, organic alloys (OAs) capable of full-color emission are synthesized based on charge transfer (CT) cocrystals. By adjusting the molar ratio of electron donors, the emission color of the OAs can be conveniently and continuously regulated in a wide visible range from blue (CIE: 0.187, 0.277), to green (CIE: 0.301, 0.550), and to red (CIE: 0.561, 0.435). The OAs show analogous 1D morphology with smooth surface, allowing for full-color waveguides with low optical-loss coefficient. Impressively, full-color optical displays are easily achieved through the OAs system with continuous emission, which shows promising applications in the field of optical display and promotes the development of organic photonics.

Strategic Integration of a Vegetative Component on a Metal Roof Base: An Evaluation of Its Impacts on Thermal and Acoustic Performance in the Tropics

This paper attempts to ascertain the thermal and acoustic impacts of introducing a vegetative roof layer on insulated and uninsulated metal roofs for tropical climates, through field measurements in Skudai, Johor, Malaysia, that were conducted for both dry and wet days. Four small-scale roof modules were tested, namely an uninsulated metal roof (uiMDR), an insulated metal roof (iMDR), and two identical corresponding modules with an additional vegetative component (uiGR and iGR, respectively). Outdoor ambient temperature (Tamb) was the most influential correlated variable affecting the roof outer surface temperature (RTOS) in 50% of the assessed scenarios. On the selected dry day, the inter-quartile ranges (IQR) of iGR, iMDR, uiGR, and uiMDR were 6.21 °C, 8.32 °C, 6.69 °C, and 1.66 °C, respectively; the IQRs were 1.6 °C, 4.11 °C, 2.59 °C, and 1.78 °C, respectively, on the selected wet day. Based on design U-value calculations, iGR was better than iMDR and uiMDR for both dry and wet days. The U-value of uiGR was also better than iMDR under dry-day conditions. The Wilcoxon signed-rank test also indicated a statistically significant difference in the roof inner surface temperature (RTIS) measurements (p-value = 0.00) during Malaysian daylight hours, between 8.00 a.m. and 6.00 p.m., regardless of the weather. In terms of sound level reduction under dry-day conditions, the Kruskal–Wallis and Wilcoxon signed-rank tests showed statistically significant differences in sound level reductions, with iGR and uiGR performing better than iMDR and uiMDR (p-values = 0.00). The sound level reductions for iGR, iMDR, and uiGR were 51%, 32%, and 31%, respectively, while uiMDR experienced sound level amplifications by 6%, possibly due to the acoustic resonance effect. This proof of concept may encourage a broader application of extensive GRs in Malaysia using metal roofs, beyond the conventional RC base construction method.

Life cycle integrated analysis of thermal, environmental and cost performance of building envelope system: Small house case study considering grid mix change in Brazil

Dwellings with inadequate envelopes tend to present higher energy consumption, consequently, higher energy costs and significant environmental impacts. However, improving performance may increase initial costs. Life Cycle Assessment (LCA) and Life Cycle Cost (LCC) are used to independently evaluate the environmental and cost implications of thermal performance. Thus, it is necessary to help designers synthesize these criteria. This article analyzes the thermal, environmental, and cost performance of a single-family house in Brazil’s coldest climate zone with alternative conventional and innovative construction systems. The method has three steps: research problem identification and case study definition; criteria assessment (energy simulation, LCA, and LCC); results analysis. Investments in the building envelope can reduce 20% of energy consumption per year, 12% of Global Warming Potential emissions, and 17% of Cumulative Energy Demand. The assessment included two different scenarios of the electricity grid mix. The scenario with cleaner energy had a 25% reduction in the environmental impact. Thus, future potential changes in the electricity grid mix must be considered in building assessment because of the typically long building life cycle. The envelope adaptations improve environmental and thermal performance and influence the entire life cycle costs due to energy consumption. Thus, the results help in decision-making.

Initial concept and embodiment to develop modular constructed wetland: A unique and promising solution to sustainability transitions in water management

Constructed Wetlands (CWs) were widely used as nature-based solution to effectively remove contaminants from wastewater, while offering benefits for ecological value and landscape services. However, one limited factor for practical applications of CW technology is the conventional construction style, which is a laborious and complex civil engineering. As such, an idea of modular CW (MCW) was proposed and embodiment was made for different scales of treatment wetland projects. This paper introduces the MCW concept and the efforts made to realize it. MCW is a revolutionary approach in wastewater treatment that combines efficiency, adaptability, and environmental sustainability. MCW represents a paradigm shift from traditional CWs, offering a pre-fabricated, modular solution that simplifies the complexities of civil engineering in wastewater management. These prefabricated modular structures, assembled off-site and installed on-site, provide a streamlined, flexible, and user-friendly alternative to conventional CWs. The innovative design of MCWs incorporates advanced substrates and technologies, integrating enhanced processes such as intermittent aeration, tidal flow, and circulating reflux. This novel approach significantly improves pollutant removal efficiency, reduces land usage, and addresses clogging issues through rapid module replacement. The paper comprehensively delved into the structural, substrate, plant, and operational aspects of MCWs. It highlights the environmental and economic benefits of MCWs, emphasizing their role as a cost-effective, environmentally-friendly solution for wastewater treatment. The study concludes by underscoring the potential of MCWs in spearheading new research and development in sustainable wastewater management, marking a new generation in CW systems.

An Experimental Investigation on Partial Replacement of Cement with Powdered Glass Wastes in Paver Block

There is now a significant world-wide interest to solve the environmental problems caused by industrial waste and other materials by including such materials in the manufacture of concrete. This technology has been introduced in India in construction, a decade ago, for specific requirement namely footpaths, parking areas etc. but now being adopted extensively in different uses where the conventional construction of pavement using bituminous mix or cement concrete technology is not feasible or desirable. The characteristics of concrete containing fine crushed glass during its process, the best ratio of fine crushed glass which leads to higher strength of concrete in order to produce concrete blocks, and the effect of waste glass replacement on the expansion caused by Alkali-silica reaction (ASR). This study looked at the feasibility of waste glass inclusion as partial Cement replacement systems. Properties of concrete incorporating waste glass as partial substitution for Cement amounts of 50% and 60% were investigated. The waste glass material used was obtained waste collectors. The results obtained show clearly that glass enhances the compressive strength properties of the final concrete product. The study indicated that waste glass can effectively be used as Cement replacement with little substantial change in strength.

Constructing hierarchical attentive functional brain networks for early AD diagnosis

Analyzing functional brain networks (FBN) with deep learning has demonstrated great potential for brain disorder diagnosis. The conventional construction of FBN is typically conducted at a single scale with a predefined brain region atlas. However, numerous studies have identified that the structure and function of the brain are hierarchically organized in nature. This urges the need of representing FBN in a hierarchical manner for more effective analysis of the complementary diagnostic insights at different scales. To this end, this paper proposes to build hierarchical FBNs adaptively within the Transformer framework. Specifically, a sparse attention-based node-merging module is designed to work alongside the conventional network feature extraction modules in each layer. The proposed module generates coarser nodes for further FBN construction and analysis by combining fine-grained nodes. By stacking multiple such layers, a hierarchical representation of FBN can be adaptively learned in an end-to-end manner. The hierarchical structure can not only integrate the complementary information from multiscale FBN for joint analysis, but also reduce the model complexity due to decreasing node sizes. Moreover, this paper argues that the nodes defined by the existing atlases are not necessarily the optimal starting level to build FBN hierarchy and exploring finer nodes may further enrich the FBN representation. In this regard, each predefined node in an atlas is split into multiple sub-nodes, overcoming the scale limitation of the existing atlases. Extensive experiments conducted on various data sets consistently demonstrate the superior performance of the proposed method over the competing methods.

A survey on semi-supervised graph clustering

Semi-Supervised Graph Clustering (SSGC) has emerged as a pivotal field at the intersection of graph clustering and semi-supervised learning (SSL), offering innovative solutions to intricate data analysis problems. However, despite its significance and wide-ranging applications, there exists a notable void in the literature—a comprehensive survey specifically dedicated to SSGC techniques and their diverse applications remains conspicuously absent. Addressing this gap, this paper presents a systematic and comprehensive review of SSGC methodologies, spanning from well-established approaches to cutting-edge developments. Through a meticulous categorization, critical examination, and insightful discussion of these techniques, this survey not only illuminates the current landscape of SSGC but also identifies unexplored avenues for exploration and innovation. In this paper we present a comprehensive survey of conventional graph construction, graph clustering, SSL methods, evaluation metrics and their primary development process. We then provide a taxonomy of SSGC techniques based on their structures and principles and thoroughly analyze and discuss the related models. Furthermore, we review the applications of SSGC in various fields. Lastly, we summarize the limitations of current SSGC algorithms and discuss the future directions of the field.

Force tracking control for hydraulically actuated adaptive high-rise buildings

Adaptive high-rise buildings comprise sensors, a control unit and actuators and are able to actively compensate disturbances, allowing the realization of significantly lighter structures compared to conventional constructions. This publication presents the development of a force tracking controller for hydraulic actuators on adaptive high-rise buildings. First, nonlinear models of a single- and a double-acting hydraulic cylinder, used for two different ways of actuation in the structure, are derived. The characteristic curve for the valve cross-section is determined through experimental system identification. Second, a flatness-based input/output linearization is applied to both actuator models. A gain scheduling algorithm sets the proportional gain of the force tracking controller based on a measure reflecting the dynamics of the reference signal and thus avoiding control spillover due to mechanical coupling between the actuator and the structure. The force tracking controller is tested experimentally on the worldwide first adaptive building and its tracking behavior is analyzed based on the cutoff frequency of the closed loop system.

Optimizing Mental Health Detection in Indian Armed Forces Personnel through Feature Engineering Driven Dataset Reduction, Addressing Suicide, Depression, and Stress

Within the realm of machine learning, the construction of high-quality datasets stands as a crucial factor profoundly influencing model performance. This research aims to furnish a comprehensive guide for enhancing the accuracy and efficiency of dataset construction. It achieves this by integrating multi-variate reduction techniques and innovative feature engineering strategies, implemented within the Python programming ecosystem. As the landscape of datasets becomes increasingly diverse and complex, the imperative to optimize precision grows more critical. This study explores the judicious application of dimensionality reduction methods, such as Principal Component Analysis (PCA) and t-Distributed Stochastic Neighbor Embedding (t-SNE), alongside various feature selection approaches to strategically streamline datasets while preserving vital information. In conjunction with these reduction techniques, the research introduces novel feature engineering methods to amplify the discriminative power of remaining features, thereby enriching the dataset's representational capacity. The exploration spans a spectrum of multi-variate reduction techniques and delves into feature engineering methodologies, including polynomial feature creation, interaction term generation, and domain-specific transformation functions. Practical implementations of these techniques are demonstrated through Python, showcasing their applicability across diverse domains. Empirical evaluations on real-world datasets underscore the efficacy of the proposed methodology, revealing superior accuracy and efficiency compared to conventional dataset construction approaches. The insights derived from this research contribute significantly to the broader discourse in machine learning, presenting a generic yet potent framework for enhancing precision in datasets. Beyond deepening our understanding of multi-variate reduction and feature engineering, the findings offer a practical guide for researchers and practitioners seeking to optimize precision in various machine learning applications.

Structural design of reinforced earthcrete (ReC) beams

This paper presents the results of an extensive experimental campaign aimed at evaluating the feasibility of using steel-reinforced earthen materials for load-bearing structural applications, with a focus on a new category termed "shot-earth". Addressing excavated soil, a major source of construction waste, shot-earth demonstrates remarkable properties, such as notable green strength and reduced water sensitivity. The experimental program includes four-point bending tests on steel-reinforced shot-earth beams, along with pull-out tests to assess the adherence between ribbed steel bars and shot-earth. A flexural design approach, traditionally suited for reinforced concrete, is presented and validated to establish a reliable model for reinforced shot-earth elements in bending state. These findings suggest that leveraging existing models for reinforced concrete can overcome some traditional challenges associated with earth-based constructions, promoting them as a viable and ecological alternative to conventional construction materials.

Influence of Prefabrication on Job Satisfaction in The Construction Industry

New construction approaches, such as prefabrication, have been increasingly recognised as a strategy to boost productivity and support the industry’s sustainability and growth. Advancing existing understanding on the benefits of prefabrication to promote its adoption, this research aims to assess job satisfaction and work conditions of construction practitioners involved in prefabrication and assess its impacts on their job satisfaction, represented by job demands, job support, physical work environments, and job perception. Quantitative data were collected from 37 practitioners exposed to prefabrication and 30 practitioners involved in conventional construction. The findings show that prefabrication can lead to higher job satisfaction and better work conditions than conventional construction. Compared with conventional construction, practitioners working in prefabricated projects experienced improved workload distribution, better physical surroundings, and positive job perception. This research, therefore, provides new insights into the benefits of prefabrication and its potential to promote better mental wellbeing and higher productivity.