Construction Phase Research Articles

Prospects for digital twin technology in the building modular construction and operation phases: A game theory-based analysis

Modular construction and operation significantly impact building lifecycle management, with various stakeholders playing key roles. Digital twin technology emerges as a cutting-edge tool for information exchange, management, and forecasting in the construction sector, offering comprehensive services for diverse stakeholders. However, research primarily explores potential applications and practical solutions, with limited focus on application strategies considering all stakeholders' interests. This gap hinders the transition of digital twin technology from theoretical to practical use. Addressing this, the paper employs game theory to develop models that analyze key stakeholder decisions during the modular construction and operational phases. It creatively introduces mathematical models for complex conditions in the operation phase and conducts numerical simulations. Findings show that the diffusion rate of digital twin technology significantly affects decision-making by main stakeholders in the construction industries in two stages. The diffusion rate in other industries influences the decision of facility management contractors from different backgrounds, yet its implementation ultimately depends on their status and profitability during the operation process. These diffusion rates are influenced by various factors like government subsidies, development costs, and revenues. To enhance the application rate of digital twin technology, the paper suggests initiating pilot projects, creating project pools, expanding industry-university-research collaborations, and implementing subsidies and incentive programs.

Environmental risk assessment of earth dams in the construction and operation phases using the modified fuzzy FMEA method

Environmental risk assessment of earth dams in the construction and operation phases using the modified fuzzy FMEA method

Bird Diversity on an Under-Constructed Educational Campus: A Case Study of Nalanda University, Rajgir, India

Bird species have been critically impacted by increasing anthropogenic activities such as infrastructural construction. Academic institutions with dedicated semi-natural landscapes may provide shelter to high bird diversity. However, assessing the bird diversity of an under-construction campus becomes critical for future comparison. This study was conducted at Nalanda University Campus, India, for five months, as the campus was at the fag-end of the construction phase with diverse land use changes. 91 bird species were found on campus primarily dominated by insectivores and omnivores. Occurrence, and migratory status of the species revealed that 47% were resident, primarily occupying aquatic habitats. Despite presence of Least Concern IUCN status bird species in the campus, substantial number of them had a declining abundance index at the national level. Sites with high land conversion showed a low number of bird species. The overall dominance and evenness highlighted a good bird diversity, contrary to altered sites where both these attributes were high. Data for the documented bird species on citizen science platforms highlighted limited information on species interactions. This study attempted to bring attention to the unchecked impact of construction activities on bird diversity and regular monitoring in the widely discussed emerging semi-natural shelters, i.e., academic campuses.

Pelatihan dan Pendampingan Perhitungan RAB sebagai Kontrol dalam Pelaksanaan Pembangunan Insfrastruktur di Wilayah RT 11 RW 07 Desa Mranggen

<p><em>I</em><em>n building infrastructure, cost calculations are needed, organized in the form of a Budget Plan (RAB) according to government standards. The RAB provides an overview of the total cost required for building infrastructure or construction projects. Additionally, the RAB calculations can also determine the need for building materials, the number of workers required, and the duration of the project. This Community Service program aims to provide knowledge and new skills to the community on how to calculate the Budget Plan (RAB) for building both private homes and community infrastructure, such as meeting halls, neighborhood watch posts, water channels, and so on. The implementation method begins with interviews to assess understanding of creating an RAB, followed by socializing the benefits of making an RAB, training, and practical exercises on how to calculate the RAB. Subsequent steps include monitoring and evaluating the results of the calculations. This Community Service program equips the community with the skills to calculate the RAB for infrastructure development, better understand the volume of work calculations, determine material prices or unit prices for work, and prevent cost overruns during the construction phase.</em></p>

Axiomatic design for safe construction considering lean and ergonomic principles: an application in Turkey

This study proposes a systematic approach based on axiomatic design incorporating lean and ergonomic principles within the proposed design. The contribution to the body of knowledge is to keep construction workers safe by fostering a secure construction environment. Axiomatic design and lean approaches are combined to address human factors and eliminate wastes that hinder a safe construction environment. The application of the proposed system is set in the context of the construction industry. The methodology provides the construction sector with a road map toward reducing the occurrence of accidents and serves as a complementary approach between lean and ergonomic principles. The design solution has been validated and partially applied in a metro construction firm. Results show that the design solution can improve the efficiency of the construction phases by adopting a value-maximization strategy and has the potential to improve the safety and ergonomics of construction projects.

The impact of sustainable design and construction upon FM: four case studies

Purpose This paper aims to analyze the impact of sustainability measures taken during the design and construction phases, by examining two categories of sustainability: energy efficiency and reducing carbon emissions and material selection and waste management. These aspects are examined from the perspectives of long-term building performance and maintenance practices, as well as user/tenant satisfaction. Design/methodology/approach This study includes a literature review related to the two topics under consideration, followed by a comparative case study analysis of four projects to determine practical validity. All case studies in this paper used a semi-structured survey with various project stakeholders, which helped the authors identify measures taken as well as obstacles and challenges during the process. Findings According to the four case studies, adequate attention should be paid to the two areas of interest during a project’s design and construction phases. Including case studies from around the world (four case studies from three different countries) offers insights into effective sustainability practices in building design and construction, providing instances of successful implementation and emphasizing the obstacles and potential when incorporating sustainability into the design and construction phases. Research limitations/implications The findings also show that design and construction participants and companies should reduce waste generation and carbon emissions. In addition, they should make decisions on material selection to enhance projects’ sustainability and to contribute to creating a habitable planet for the future. Originality/value The influence of the design and construction phases on long-term project sustainability is of major importance and concern to users, owners, designers, contractors and facility managers. This study illustrates the necessity of including sustainability measures in the design and construction phases, highlighting the importance of sustainability in building design and construction through effective implementation techniques and interdisciplinary teamwork to realize sustainable goals.

Factors influencing contractors' low-carbon construction behaviors in China: a LDA-DEMATEL-ISM approach.

Contractors' low-carbon construction behaviors (CLCB) are pivotal in advancing decarbonization during the construction phase. However, there exists a notable gap in the comprehensive exploration of the multifaceted factors and mechanisms influencing CLCB. Therefore, this study aims to systematically identify the factors influencing CLCB in China, examine the interrelationships among these factors, and pinpoint the key determinants. Based on topic modeling of Latent Dirichlet Allocation (LDA), influencing factors are identified firstly from the pertinent literature. Subsequently, the causality degree and centrality degree between these factors are assessed by the Decision-Making Trial and Evaluation Laboratory (DEMATEL), followed by the establishment of a hierarchical structure using the Interpretive Structural Modeling (ISM) method, culminating in the identification of pivotal factors. Findings reveal that (1) 21 influential factors influencing CLCB are identified. (2) "Incentive policies for relevant stakeholders" and "Low-carbon regulation and supervision" emerge as key influences. (3) CLCB should be guided by policy and subjective awareness, fortified by market and management support, underpinned by technology, and directly driven by economic considerations. This research furnishes valuable insights for promoting low-carbon development during the construction phase, thereby assisting the construction sector in achieving carbon peak and carbon neutrality.

Integrating building information modelling (BIM) and extended reality (XR) in the transportation infrastructure industry

Although building information modelling (BIM) has been widely used in the building industry, its usage in infrastructure projects such as bridges has been very challenging. Extended Reality (XR) that simulates a construction project is still considered a new technology in the Architecture, Engineering, and Construction (AEC) industry. This paper investigates the viability of integrating both BIM and XR technologies into transportation infrastructure projects. A fully integrated workflow for introducing different XR, Augmented Reality (AR), and Virtual Reality (VR), and BIM technologies using different software for a case study of El-Merghani bridge, a reinforced concrete girder type bridge, was developed. The models for the bridge included GIS integration and geometric road design according to AASHTO, documentation, shop drawings and quantification were developed for the bridge. A hypothetical time schedule was generated in Oracle Primavera P6 elevating the BIM model to 4-D and developing VR and AR virtual experiences with the capability to investigate, visualize, and present the model in a virtual environment, at a high level of immersion. Additionally, the associated risk reduction for the considered XR technology was assessed using Monte Carlo simulation. The workflow and the detailed 3D models developed for the bridge along with the highly immersive VR and AR experiences have provided an interactive platform for engineers and different stakeholders to monitor the project during the design and construction phases. The risk analysis showed that significant cost savings can be achieved with the utilization of VR and AR technology in bridges construction.

Compressive Strength Predictive Analysis using Spectroradiometer.

Abstract Rapid urbanization in emerging economies has prompted a focus on quality inspections of construction materials, particularly concrete. Standard tests assessing the mechanical strength of concrete involve breaking samples. Remote sensing presents an opportunity to map and monitor these materials, enabling the identification of properties like mechanical strength without causing damage. This non-destructive approach allows on-site inspection, swiftly and inexpensively, which is crucial during ongoing construction phases. Using a Field Spec® 3 spectroradiometer, spectroscopic analysis was performed to observe the spectral behavior of mechanical strengths in cement-based mortar materials based on spectral curves that were obtained from the reflected and absorbed electromagnetic radiation of the samples. This study is groundbreaking as there is no existing literature on utilizing this technique to differentiate compressive strengths of mortar cubes.

Land-air coupled environmental perception system during the construction phase of pumped storage power stations

Land-air coupled environmental perception system during the construction phase of pumped storage power stations

Benefits and Challenges of Implementing the Common Data Environments in the Construction Phase of BIM-Based Projects

Benefits and Challenges of Implementing the Common Data Environments in the Construction Phase of BIM-Based Projects

Slurry infiltrated low-quality construction and demolition coarse aggregate waste in concrete – a sustainable construction

Exponential growth in infrastructure projects, stimulated by emerging sophisticated technologies have been instrumental in the salutary proliferation of the construction sector, globally. An indubitable adversity of the rapid boom in the construction industry has been the rampant cumulative fallout of burgeoning waste during the demolition and construction phases of restoration. The current study explored the propriety of replacing natural coarse aggregate by low-quality recycled coarse aggregates (RCA) with varying proportions, along with silica fume (SF) and polypropylene (PP) fibers as admixtures, for the preparation of concrete. As the quality of RCA is determined by the history of its parent demolished structure, this investigation was preceded by assessment of the properties of RCA. A statistical approach using design of experiments, adopted to determine the coherent combinations of RCA and admixtures, yielded 16 combinations. Accordingly, concrete specimens were prepared with various quantities of RCA in place of natural coarse aggregate. Optimum proportions of the ingredients were inferred, based on the compressive strength attained by the concrete specimens. Further strength property evaluation was conducted, using these low-quality RCA treated with cement and silica fume slurry. Based on the strength results, 75% slurry infiltrated RCA, coupled with 10% SF and 0.5% PP, provided better strength in compression, tension and flexure. Scanning electron microscopy study, adopted for characterization of the micro-structural slurry-infiltrated RCA, shows the presence of strong interfacial transition zone in the treated RCA concrete. Thus, this study confirmed the efficacy of low-quality RCA as a promising material for structural construction, concurrent with a solution to various ecological disruptions precipitated by infrastructure construction and demolition wastes.

Comparative life cycle assessment (LCA) of pre-treatment technologies for desalination in South Africa

In the context of South Africa’s water scarcity, desalination has emerged as a possible solution for coastal areas. However, the quality of the intake water for desalination is often problematic, prompting the need for pre-treatment. The aim of this study was to conduct a comparative environmental life cycle assessment (LCA) on 4 seawater filtration systems intended for the pre-treatment of a reverse osmosis desalination project. These systems were implemented in a pilot trial and are based on modern water treatment technologies, namely, granular filtration (pressure driven and gravity driven), dissolved air flotation (DAF), and ultrafiltration (UF). For all 4 systems, data were collected for both the construction and operation phases, and LCAs were performed, resulting in environmental scores that allow for comparison based on the pre-treatment of 1 kL of seawater of the same quality. The SimaPro LCA tool and the ReCiPe midpoint method were used and environmental scores were calculated for 18 impact categories, including climate change, acidification, toxicity, eutrophication, resource depletion, etc. This methodology also allowed the identification of the highest environmental burdens/scores within each system. The most significant finding is that local electricity consumption is responsible for the greatest proportion of environmental impacts. Thus, the systems consuming more energy for operating equipment such as blowers, pumps, and mixers were found to have the highest environmental burdens. Hence, the DAF system has the highest environmental scores for most impacts, followed by the single-phase gravity filtration system, then the two-phase partial pressure filtration system and finally the UF system. Therefore, focus should shift towards energy optimisation of process units, especially the rotary ones, as well as energy mitigation and recovery strategies. The use of renewable energy for pre-treatment should also be considered locally.

FINITE ELEMENT SIMULATION ANALYSIS OF CURVILINEAR CONTINUOUS BEAM BRIDGE JACKING AND TRANSLATION CONSTRUCTION

This paper investigates the issue of beam misalignment in curved continuous beam bridges. Taking the D0 to D6 spans of the Gongbin Road viaduct as the basis, the main influencing factors causing misalignment in curved beam bridges are analyzed and the causes of transverse and longitudinal misalignment in curved beam bridges are calculated and analyzed using Midas/Civil finite element simulation software. The results indicate that the main influencing factor causing misalignment in the operation of curved continuous beam bridges is the system temperature, with the displacement caused by it being larger than the cumulative displacement caused by self-weight, construction phase, gradient load, vehicle load, and bearing settlement. During operation, the failure of expansion joints changes the boundary conditions of the beam, preventing the bridge from freely expanding and contracting longitudinally under temperature load. As a result, the transverse displacement increases to 2-3 times the normal working state of the expansion joint, leading to beam misalignment.

Development of modified fuzzy FMEA method in environmental risk assessment of earth dams

The investigations have shown that the construction of the dam and its related facilities have significant physical–chemical and ecological effects on the ecosystem. Failure Mode and Effects Analysis (FMEA) is a technique for ranking risks in projects to construct dams, but it has many deficiencies and ambiguities. Therefore, to prevent the shortcomings of the classical method, the modified fuzzy inference system (MFIS-FMEA) method has been used by creating a two-stage model to more accurately assess the risk of Eyvashan Dam. First, all the considered indicators are weighted using the Shannon entropy method, and the environmental risk is prioritized using the Fuzzy OWA method. In this study, two-stage fuzzy reasoning and a Max–Min combination rule are used. When severity (SEV) and occurrence (OCC) variables are combined, the critical risk index (RCI) values are predicted in the first stage. RCI and detection index (DET) input are then used to predict the MFIS-RPN in the second stage. The results of the risk priority number (RPN) in the MFIS-RPN method are much more accurate and serious than the FIS-RPN method due to the two-stage nature and the use of new language terms. The results of the proposed MFIS-RPN technique show that the highest RPN was obtained with immediate action in the dam construction phase for soil erosion and soil pollution and in the dam operation phase for aquatic and water pollution. Therefore, due to the increase in risk score, it is necessary to take immediate and more accurate monitoring during the construction and operation phases.

Machine learning-based prediction of construction and demolition waste generation in developing countries: a case study.

Data is needed for making informed decisions regarding managing waste in the time of construction and demolition phases of buildings. However, data availability is very limited in most developing countries in the area of waste generation. The objective of this study is to employ an artificial intelligence (AI)-based approach to develop a reliable model for forecasting monthly construction and demolition waste (C&DW) generation in the case study of Tehran, Iran. We have trained different prediction models using various AI algorithms, including multilayer perceptron neural network, radial basis function neural network, support vector machines, and adaptive neuro-fuzzy inference system (ANFIS). According to the findings, all employed AI algorithms demonstrated high prediction performance for C&DW forecasting models. The ANFIS model, with R2 = 0.96 and RMSE = 0.04209, was identified as the model that better represented the observed values of C&DW generation. The better efficiency of the ANFIS model could be due to its effective enhancement of neural networks to model subjective variables based on fuzzy logic capabilities. The developed prediction model can be employed as an efficient tool for policy and decision-making for C&DW management by predicting waste quantities in the future.

Investigation of The Use of Nano Powder On Roller Compressible Fibrous Concrete Roads

Despite the fact that our country's road network is inferior to that of industrialized countries, the volume of motor traffic is increasing. Thus, optimal solutions are imperative during both project and construction phases of highway investments. Concrete superstructures offer an alternative to flexible superstructures in various regions globally, including airport runways, warehouses, urban roads, streets, highways and industrial buildings. The objective of this study was to enhance the compressive and flexural strength of concrete and provide resistance against abrasion. To achieve this, a roller compressible concrete (RCC) mixture design was developed by incorporating basalt fiber, nano TiO2, and nano Fe2O3 additives. The experimental results were subjected to statistical analysis via the technique of analysis of variance (ANOVA). The findings of the study indicated that the strength performance of the optimal RCC mixture design reinforced with nano powder and fibers was superior to that of conventional concrete. Upon examination on a material basis, it was determined that the compressive strength exhibited an increase when the water/binder ratio was utilised within the range of 0.38–0.4. As the utilisation of nano-Fe2O3 and basalt fiber materials increased, their compressive strength exhibited a corresponding enhancement. The incorporation of basalt fiber into the composite material resulted in an increase in flexural strength at all ratios where it was utilised. It can be concluded that basalt fiber has the greatest potential for enhancing flexural strength. The optimal water-to-binder ratio for flexural properties is between 0.34 and 0.38. While nano powders can have a positive impact, they cannot achieve the maximum level of strength. For improving abrasion resistance, it was established that reducing the water/cement ratio, using fly ash, basalt fiber, and nano Fe2O3 in the mixture decreased abrasion. However, the usage of nano TiO2 did not have a significant positive effect. The material with the least effect on compressive, flexural and abrasion resistance was identified as nano TiO2. When materials other than nano TiO2 are utilised in accordance with the established optimal mixture calculation, the durability of the resulting RCC road will reach the requisite standard.

Stress-strain state zoning model and novel large deformation classification method for squeezing tunnels

Accurately assessing the level of large deformation in squeezing tunnels is of great importance for the design of support structures. The current large deformations classification methods fail to account for the effect of support pressure on the relative deformation of surrounding rock. In this study, a theoretical model for the stress–strain state zoning of the surrounding rock in squeezing tunnels is established. A sensitivity analysis of the model parameters is conducted. The distribution law of the strength-stress ratio, relative deformation, and relative support pressure indices in 43 field monitoring squeezing tunnels are statistically analyzed. A novel large-deformation classification method based on the relative support pressure index is proposed and applied in case studies. The parameter sensitivity analysis shows that mechanical parameters of the surrounding rock significantly affect the deformation and the stress–strain state zoning of the surrounding rock. The stress–strain state zoning and deformation of the surrounding rock are also primarily dependent on the matching relationship between strength-stress ratio and support pressure. Statistical analyses indicate that there is a nonlinear negative correlation between the relative deformation of the surrounding rock and the strength-stress ratio, as well as the relative support pressure, which includes the steel arch relative support pressure index (SSPI) and the anchor bolt relative support pressure Index (ASPI). The key to controlling surrounding rock deformation lies in the rational matching of support pressure to the strength-stress ratio. In the novel large deformation classification method, three key indexes of strong stress ratio, relative deformation and relative support pressure are quantitatively included, and squeezing large deformation is divided into three levels. Moreover, the case study demonstrated that the novel large deformation classification method has significant guiding importance in verifying feasibility and optimizing support design schemes during both the design and construction phases.

Adopting a systems engineering approach to a feasibility study of a sidings development at the Midsomer Norton railway station

It is planned to reopen Midsomer Norton railway station, which is a station on the Somerset & Dorset Heritage Railway Line, to traffic. As a first step, Midsomer Norton will be a terminus, and it is proposed to build sidings and a depot for the trains that terminate there. However, a ground investigation is essential before commencing construction of the sidings and the depot, as this is a vital part of any civil engineering process. The behaviour of the ground must be known in order for a structure to be supported by it; therefore, data from the ground investigation are used as reference for any kind of structure development. This study covers a site investigation that includes a desk study, walkover survey, sampling and laboratory testing in order to ascertain the feasibility of a suitable design. Moisture content testing, liquid limit and plastic limit tests, standard compaction testing, shear vane tests, and triaxial compression tests were carried out to determine the soil characteristics and to analyse the soil behaviour. A strong recommendation was made to follow a systems engineering approach in the construction phase, as well as in the design stage. The dependability of the system is ensured by the good use of V – process of systems engineering.

Retrogradation of carbonate platforms on a rifted margin: the late Ediacaran record of the northwestern Yangtze Craton (SW China)

The Late Ediacaran Dengying Formation, located in the Sichuan Basin of the northwestern Yangtze Craton, is of significant interest in oil and gas exploration due to its abundant pores and vugs within microbial mound-shoal complexes. However, there is still uncertainty regarding the spatiotemporal distribution and controlling factors of the platform margin. This study comprehensively analyzes the retrogradation pattern of the Dengying Formation platform margin using seismic data, well logs, field outcrops, and petrological characteristics. Our findings reveal that the Dengying Formation strata surrounding the rift basin at the northwestern of the Yangtze Craton can be divided into three main depositional facies: basin facies, slope facies, and platform margin facies. Additionally, based on the integration of lithological, log, and seismic characteristics, the Dengying Formation is subdivided into four third-order sequences, with five sequence boundaries and three seismic facies identified. Supported by sequence stratigraphy and geophysical data, we have reconstructed the tectono-sedimentary evolution of the multiple platform margins on the eastern side of the Deyang-Anyue rift in the Sichuan Basin during the late Ediacaran. Our findings indicate that the platform underwent two phases of retrogradation. The second-stage platform margin underwent retrogradation towards the interior, spanning a distance between 10 and 80 km, based on the initial configuration established by the first-stage platform margin. The main controls for progradation and retrogradation of carbonate platforms are eustatic sea-level changes and tectonic activity. Eustatic sea-level changes can be divided into constructive and destructive phases. Constructive phases are commonly observed in highstand systems tracts, while destructive phases are often associated with transgressive systems tracts and are related to platform retrogradation processes. However, sea-level changes alone cannot fully control the process of platform retrogradation. The thermal subsidence following mantle plume events likely played a significant role in the retrogradation of the platform in the study area. During this period, tectonic processes controlled the geometry of the platform and the deposition of carbonates in the platform margin-slope-basin environment. Additionally, karst-related mound-shoal complexes developed extensively along the platform margin of the Dengying Formation in the northwestern Yangtze Craton. The Lower Cambrian dark shales represent high-quality hydrocarbon source rocks, while the Dengying Formation exhibits an optimal source-reservoir configuration.